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基于改进混合高斯与机器学习的早期火灾检测算法

Номер патента: CN108765833A
Опубликовано: 06-11-2018
Автор(ы): 张为, 梅建军
Принадлежит: TIANJIN UNIVERSITY
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Systems and methods for estimating robustness of a machine learning model

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Gradient pruning for efficient training of machine learning models

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Techniques for securing network environments by identifying device attributes based on string field conventions

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Techniques for securing network environments by identifying device attributes based on string field conventions

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Identifying solution packages based on determined relationships

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Game content choreography based on game context using semantic natural language processing and machine learning

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Machine learning techniques that identify attribution of small signal stimulus in noisy response channels

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Computer-based systems, computing components and computing objects configured to implement dynamic outlier bias reduction in machine learning models

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Natural language analysis of a command line using a machine learning model to generate a natural language description of the command line

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Generating synthetic data based on time series predictions and plural machine learning models

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Utilizing elastic weight consolidation (ewc) loss term(s) to mitigate catastrophic forgetting in federated learning of machine learning model(s)

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Utilizing elastic weight consolidation (ewc) loss term(s) to mitigate catastrophic forgetting in federated learning of machine learning model(s)

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Automatically updating a card-scan machine learning model based on predicting card characters

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Computer-readable recording medium storing machine learning program, device, and method

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Machine learning based model for determining effective communication mechanism with users

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Health risk assessment method of heavy metals in water source location based on pmf and machine learning

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Time-based ensemble machine learning model

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Seismic well tie based on machine learning

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Systems and methods for training machine learning classification models to generate investment data predictions

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Implementing device modifications based on machine learning processes performed within a secure deployment system

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Using machine learning to predict aquifers from groundwater chemistry data

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Systems having components configured for layered machine learning-based optimization of user interface renderings and methods of use thereof

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Detecting actions in video using machine learning and based on bidirectional feedback between predicted type and predicted extent

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Enhanced on-the-go artificial intelligence for wireless devices

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Providing a secure and collaborative feedback mechanism for machine learning models

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Diffusion models for generation of audio data based on descriptive textual prompts

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Systems and methods for machine learning model management

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Machine learning approach to mitigate hand blockage in millimeter wave systems

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Machine-learning based gesture recognition using multiple sensors

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Image processing apparatus, image processing method, program, and machine learning method

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Image sensor for improved optical imaging

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Systems and methods for tuning parameters of a machine learning model for federated learning

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Image processing device, image processing method, program, and machine learning method

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Gradient pruning for efficient training of machine learning models

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Machine learning based system and method for improving false alert triggering in web based device management applications

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Injection molding system for the calculation of optimum operating conditions and machine learning therefor

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Industry specific machine learning applications

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Industry specific machine learning applications

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Industry specific machine learning applications

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Method for identifying covid infection using gene expression level and machine learning model

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Classifying teams in a group-based communication system using machine learning techniques

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Systems and methods for adjusting a transcript based on output from a machine learning model

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Utilizing machine learning and a smart transaction card to automatically identify item data associated with purchased items

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Machine learning component management

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Machine learning program, machine learning device, and machine learning method

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Method and apparatus for determining and fusing an aging state trajectory of an electrical energy storage unit based on statistical, model-based, and machine-learning methods

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System and method for remote authentication based on computer-vision technologies

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Data drift impact in a machine learning model

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Systems and methods for matrix operation selector based on machine learning

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Machine-learning model for predictive plant breeding using phenomic selection to predict grain composition

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Method and system for data transformation based on machine learning

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Storage medium, machine learning device, and machine learning method

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Airport information updates based on machine-learning models

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Machine learning-based quality control of a culture for bioproduction

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Mixed client-server federated learning of machine learning model(s)

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Mixed client-server federated learning of machine learning model(s)

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Training machine learning models based on movement and timing data

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Systems and methods for using machine learning models for improved and customized cyber threat intelligence

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Determining interpersonal or behavioral skills based on course information

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Sparsity-inducing federated machine learning

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Clustering techniques for machine learning models

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Device and method for incremental machine learning with varying feature spaces

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Difficult airway evaluation method and device based on machine learning voice technology

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Seismic well tie based on machine learning

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Data Record Anomaly Reconciliation Using Machine Learning Models

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Generating synthetic images and/or training machine learning model(s) based on the synthetic images

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Systems and methods for using machine learning models for improved and customized cyber threat intelligence

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Using machine learning and/or neural networks to validate stem cells and their derivatives for use in cell therapy, drug discovery, and diagnostics

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Automatic generation of tasks and retraining machine learning modules to generate tasks based on feedback for the generated tasks

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Systems and methods for automatically building a machine learning model

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Machine-learned feature correlations from high feature density biological images

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Machine learning-based quality control of a culture for bioproduction

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Systems and methods for detecting drift between data used to train a machine learning model and data used to execute the machine learning model

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Techniques for machine learning based peak to average power ratio reduction

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Machine learning techniques for ground classification

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Techniques for evaluating an effect of changes to machine learning models

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Systems and methods for improved architectures and machine learning driven portals

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Machine learning-based sensitive resource collection agent detection

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Systems and methods for machine learning-based detection of an automated fraud attack or an automated abuse attack

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Object association using machine learning models

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Computer-based systems having data structures configured for machine learning classification of entities and methods of use thereof

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Machine learning-based quality control of a culture for bioproduction

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Machine learning device, machine learning method, and non-transitory computer-readable recording medium embodied thereon machine learning program

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System to track and measure machine learning model efficacy

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Systems and method for evaluating and selectively distilling machine-learned models on edge devices

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Machine learning-based selection of a representative video frame within a messaging application

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Machine learning to monitor network connectivity

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Ai model recommendation based on system task analysis and interaction data

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Systems having components configured for layered machine learning-based optimization of user interface renderings and methods of use thereof

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Machine learning platform

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Method of field recalibration of multivariate analyte sensors based on learned precise sensing fingerprints

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Generating a forecast based on multiple time dimensions and machine learning techniques

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Mixed client-server federated learning of machine learning model(s)

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Method to learn precise sensing fingerprints based on machine learning integration

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Machine-learning image recognition for classifying conditions based on ventilatory data

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System And Methods For Estimation Of Blood Flow Characteristics Using Reduced Order Model And Machine Learning

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Dynamic Machine Learning Model Selection

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Systems and methods for machine learning transferability

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Machine learning three-dimensional fluid flows for interactive aerodynamic design

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Machine learning model compression using weighted low-rank factorization

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Machine learning-based user sentiment prediction using audio and video sentiment analysis

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Automatic multi-user input merge resolution for a document collaboration platform using input step events and machine-learning-based processing techniques

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Machine-learning based segmentation of biological objects in medical images

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Mapping machine learning models to answer queries

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Contrast boost by machine learning

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Automatically determining a root-cause indicator of a technical system concerning an output of a machine learning model

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Automatically determining a root-cause indicator of a technical system concerning an output of a machine learning model

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Real-time predictions based on machine learning models

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Method and apparatus for training machine learning models, computer device, and storage medium

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Mri reconstruction based on reinforcement learning

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Storage device predicting failure using machine learning and method of operating the same

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Machine-learning based segmentation of biological objects in medical images

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Method and apparatus for extracting result information using machine learning

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Machine-learning image recognition for classifying conditions based on ventilatory data

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Machine learning model feature selection in a communication network

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Machine learning techniques for component-based image preprocessing

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Method for verifying a machine learning algorithm

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Methods and apparatus for performing a machine learning operation using storage element pointers

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Electric vehicle charging optimization based on predictive analytics utilizing machine learning

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Simulation of a physical interface utilizing touch tracking, force sensing, haptic feedback, and machine learning

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Difficult airway evaluation method and device based on machine learning voice technology

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Explainable machine learning based on wavelet analysis

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Biological image transformation using machine-learning models

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Data drift impact in a machine learning model

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Production equipment including machine learning system and assembly and test unit

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Computer-readable recording medium storing machine learning program, method of machine learning, and machine learning apparatus

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Machine learning systems for automated event analysis and categorization, equipment status and maintenance action recommendation

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Optimizing a machine learning system

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Dynamic variable quantization of machine learning inputs

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Validation of a machine learning model

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Machine learning classification based on separate processing of multiple views

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Golf club fitting based on machine learning

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Secure execution of a machine learning network

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Machine learning for non-imaging data using task-dependent feature dependencies

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Confidence volumes for earth modeling using machine learning

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Hybrid user contributed rules and machine learning framework

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Machine-learning and combinatorial optimization framework for managing tasks of a dynamic system with limited resources

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Deploying and updating machine learning models over a communication network

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Machine-learned model system

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Machine learning of user behavior for message playback

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Electronic device and method for selecting representation matrix and measurement matrix used for compressing data based on machine learning

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System and method of training machine-learning-based model

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Machine learning pipeline for document image quality detection and correction

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Prediction of electronic transport with physics-aware machine learning

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Inverse lithography and machine learning for mask synthesis

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Earth modeling methods using machine learning

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Airport information updates based on machine-learning models

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Platform for adaptably engaging with live streaming applications, providing users access via an interface framework, receiving and processing user predictions using natural language processing and machine learning, reducing the predictions into standardized formulae, determining occurrence and value parameters pertaining to the predictions, formulating prediction value offers based on the occurrence and value parameters, and proposing prediction value offers via the interface framework

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Machine learning-based autism spectrum disorder diagnosis method and device using metabolite as marker

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Multiple machine learning model anomaly detection framework

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Machine learning for home understanding and notification

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Application of machine learning to MUOS network management

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Electronic device and method for selecting representation matrix and measurement matrix used for compressing data based on machine learning

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Machine learning pipeline for document image quality detection and correction

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Machine learning pipeline for document image quality detection and correction

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Generating synthetic datapoints from observed datapoints for training machine learning models

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Federated search page construction based on machine learning

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Mapping field anomalies using digital images and machine learning models

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Confidential machine learning with program compartmentalization

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Machine learned user interface for dynamic control of intelligent radar clutter mitigation

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Machine-learning for content interaction

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Account aggregation using machine learning

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Machine learning-based system architecture determination

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Predicting atrial fibrillation recurrence after pulmonary vein isolation using simulations of patient-specific magnetic resonance imaging models and machine learning

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Machine learning-based channel estimation

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Generating estimates by combining unsupervised and supervised machine learning

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Multi-stage training of machine learning models

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Systems and methods for routing data payloads through a plurality of microservices using machine learning

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Systems and methods for machine learning model to calculate user elasticity and generate recommendations using heterogeneous data

Номер патента: US12033177B2. Автор: Prakash,Gopi Vikranth Bandi. Владелец: ZS Associates Inc. Дата публикации: 2024-07-09.

Privacy-preserving federated machine learning

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Machine Learning Model Based Embedding for Adaptable Content Evaluation

Номер патента: US20220309345A1. Автор: James Zimmerman,Scott Labrozzi,Christopher Richard Schroers,Yuanyi Xue,Roberto Gerson de Albuquerque Azevedo,Erika Varis Doggett,Audrey Coyote Aura BEARD. Владелец: Disney Enterprises Inc. Дата публикации: 2022-09-29.

Machine learning model based embedding for adaptable content evaluation

Номер патента: EP4315270A1. Автор: James Zimmerman,Scott Labrozzi,Christopher Richard Schroers,Yuanyi Xue,Erika Varis Doggett,Audrey Coyote Aura BEARD,Robert Gerson de Albuquerque AZEVEDO. Владелец: Disney Enterprises Inc. Дата публикации: 2024-02-07.

Explainable machine learning based on time-series transformation

Номер патента: CA3240243A1. Автор: Stephen Miller. Владелец: Equifax Inc. Дата публикации: 2023-06-15.

Collaborative machine learning whose result is stored in a shared memory controlled by a central device

Номер патента: EP4298565A1. Автор: Konstantinos Vandikas,Selim ICKIN,Wenfeng Hu,Jalil TAGHIA. Владелец: Telefonaktiebolaget LM Ericsson AB. Дата публикации: 2024-01-03.

End to end stroke triage using cerebrovascular morphology and machine learning

Номер патента: WO2024107429A1. Автор: Kaveh Laksari,Aditi Deshpande,Jordan ELLIOTT,Pouya TAHSILI-FAHADAN. Владелец: INOVA HEALTH CARE SERVICES. Дата публикации: 2024-05-23.

Method, apparatus, and computer-readable medium for determining customer adoption based on monitored data

Номер патента: US20240185266A1. Автор: Ansa Sekharan,Ashok Gunasekaran,Kali Prasad Vittala,Arjun Krishnamoorthy,Vivekanand Kompella,Rengarajan Margasahayam. Владелец: Informatica LLC. Дата публикации: 2024-06-06.

Systems and methods for using a predictive engine to predict failures in machine-learning trained systems

Номер патента: US20240232915A9. Автор: Jason Hoover,Stephen Anderson,Geoffrey Dagley,Qiaochu TANG,Stephen Wylie,Micah Price,Kristen Przano. Владелец: Capital One Services LLC. Дата публикации: 2024-07-11.

Machine learning models for adjusting communication parameters

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Machine learning models for adjusting communication parameters

Номер патента: US11722213B2. Автор: Amit Arora,Archana GHARPURAY,John Kenyon. Владелец: HUGHES NETWORK SYSTEMS LLC. Дата публикации: 2023-08-08.

Decentralized learning of machine learning model(s) through utilization of stale updates(s) received from straggler computing device(s)

Номер патента: EP4364049A1. Автор: Andrew Hard,Rajiv Mathews,Rohan ANIL,Ehsan Amid,Sean Augenstein,Lara Mcconnaughey,Antonious Girgis. Владелец: Google LLC. Дата публикации: 2024-05-08.

Machine learning based supervised user experience for an application monitored by multiple secondary applications

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Non-transitory computer-readable recording medium storing machine learning explanation program, apparatus, and method

Номер патента: US20240220828A1. Автор: Takasaburo FUKUDA. Владелец: Fujitsu Ltd. Дата публикации: 2024-07-04.

Utilizing machine learning and a network of trust for crowd and traffic control and for mapping a geographical area

Номер патента: US12038286B2. Автор: James ZARAKAS,George Bergeron,Adam Vukich. Владелец: Capital One Services LLC. Дата публикации: 2024-07-16.

Physics-Informed Machine Learning Model-Based Corrector for Deformation-Based Fluid Control

Номер патента: US20240126955A1. Автор: Byungsoo Kim,Barbara Solenthaler,Jingwei Tang,Vinicius Da Costa De Azevedo. Владелец: Eth Zuerich Eidgenoesische Technische Hochschule Zuerich. Дата публикации: 2024-04-18.

Power system based on beta source and method for operating the same

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Methods and apparatus to perform machine-learning model operations on sparse accelerators

Номер патента: EP4360007A1. Автор: David Bernard,Kevin Brady,Martin Power,Niall Hanrahan,Martin-Thomas Grymel,Gary Baugh. Владелец: Intel Corp. Дата публикации: 2024-05-01.

Method, system and equipment for vegetation restoration or rehabilitation based on machine learning

Номер патента: US11694005B2. Автор: Liu Liu,Qiang Zhang,Yonggui Chen,Guangquan Liu,Wanli Shi,Chunyu QI,Yingfei BAI,Puhang LI,Heng FU. Владелец: China Institute of Water Resources and Hydropower Research. Дата публикации: 2023-07-04.

Synthetic data generation for machine learning models

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Tuning implementation of machine learning model for resource-constrained device

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Image setting determination and associated machine learning in infrared imaging systems and methods

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Federated machine learning using locality sensitive hashing

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Optimizing intelligent threshold engines in machine learning operations systems

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Physics compliance indicator (pci) for machine learning

Номер патента: WO2024108057A1. Автор: Amirmasoud Kalantari DAHAGHI,Vuong Van PHAM,Temoor MUTHER. Владелец: University of Kansas. Дата публикации: 2024-05-23.

Methods and devices to detect an imbalance associated with an artificial intelligence/machine learning model

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System and method for improved metal detection in magnetic resonance imaging

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Operating method of electronic device including processor executing semiconductor layout simulation module based on machine learning

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Method, apparatus, and computer-readable medium for determining customer adoption based on monitored data

Номер патента: US11816684B2. Автор: Ansa Sekharan,Ashok Gunasekaran,Kali Prasad Vittala,Arjun Krishnamoorthy,Vivekanand Kompella,Rengarajan Margasahayam. Владелец: Informatica LLC. Дата публикации: 2023-11-14.

Machine-learned model training for pedestrian attribute and gesture detection

Номер патента: US12051276B1. Автор: Yi Xu,XIN Wang,Vasiliy Karasev,Kratarth Goel,Sarah Tariq,Oytun Ulutan. Владелец: Zoox Inc. Дата публикации: 2024-07-30.

Machine learning using simulated cardiograms

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Machine learning system for determining a security vulnerability in computer software

Номер патента: US11768945B2. Автор: John Matthew Chiarelli,William Anthony Mccormick,Nathan Edward Shock,Elizabeth Ann Kovick,Keling CHEN,Hee Yeun Kim,Ryan Kresse,Edward Jay Sabijon. Владелец: Allstate Insurance Co. Дата публикации: 2023-09-26.

Cloud based machine learning model attack guard

Номер патента: US12050669B2. Автор: Hari Bhaskar Sankaranarayanan,Jean-Rene Gauthier,Dwijen Bhattacharjee. Владелец: Oracle International Corp. Дата публикации: 2024-07-30.

Machine learning based image adjustment

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Machine learning model for fraud reduction

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Determining optimal machine learning models

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Machine-Learning-Based Identification of Drawing Attributes

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Machine learning for medical image reconstruction with phase correction

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Automated and optimal encoding of text data features for machine learning models

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Determining an allocation of stage and destage tasks by training a machine learning module

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Using Electronic Health Records and Machine Learning to Predict and Mitigate Postpartum Depression

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Methods and systems for generating information to be used for selecting values for one or more parameters of a detection algorithm

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Methods and systems for generating information to be used for selecting values for one or more parameters of a detection algorithm

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Malleable confidence models and machine learning prediction

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Machine learning system, machine learning method, and program

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Methods and apparatus for low precision training of a machine learning model

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Apparatus and method for evaluating a machine learning model used for assisted or autonomous driving of a vehicle

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Machine learning based supervised user experience for an application monitored by multiple secondary applications

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Machine learning apparatus and methods for predicting hiring progressions for demographic categories present in hiring data

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Data compression techniques for machine learning models

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Machine learning explanation program, device, and method

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Assessing data fidelity in a machine learning-based network assurance system

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Lithofacies guided core description using unsupervised machine learning

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Transfer learning with machine learning systems

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Energy efficient machine learning models

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Method for developing machine operation classifier using machine learning

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Intelligent routing of data objects between paths using machine learning

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Systems and methods for automatic image generation and arrangement using a machine learning architecture

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Systems and methods for machine learning-based identification of dynamic resource reordering points

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Systems and methods for utilizing machine learning to minimize a potential of damage to fiber optic cables

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Local-ancestry inference with machine learning model

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Systems and methods for improved searching and categorizing of media content items based on a destination for the media content machine learning

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Machine learning classification of object store workloads

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Machine learning based supervised user experience for an application monitored by multiple secondary applications

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Machine learning optimized storage system simulation in a virtual environment

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Systems and methods for automatic image generation and arrangement using a machine learning architecture

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Predictions based on analysis of big data

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Machine learning-based channel estimation

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Quantum computing machine learning for security threats

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Verifying confidential machine learning models

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Solving routing problems using machine learning

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Calibrating pathogencity scores from a variant pathogencity machine-learning model

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Carbon footprint estimation based on bill of materials

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Sweep algorithm for output of graphical objects

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Methods and apparatus for detecting whether a string of characters represents malicious activity using machine learning

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Probability distribution assessment for classifying subterranean formations using machine learning

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Systems and methods for machine learning model training and deployment

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Detection of recycled integrated circuits and system-on-chips based on degradation of power supply rejection ratio

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Architecture to employ machine-learning model

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Machine learning based method and device for disturbance classification in a power trasmission line

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Machine learning ensemble for processing divergent input domains for automated scheduling systems

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Training and executing machine-learning models for building data conversion

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Machine learning optimized storage system simulation in a virtual environment

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Machine learning method, machine learning system, and program

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Systems and methods for machine learning model to calculate user elasticity and generate recommendations using heterogeneous data

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Systems and methods for automatic image generation and arrangement using a machine learning architecture

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Machine learning apparatus and methods for predicting hiring progressions for demographic categories present in hiring data

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Machine learning apparatus and methods for predicting hiring progressions for demographic categories present in hiring data

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Machine learned model for generating opinionated threat assessments of security vulnerabilities

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Method and system for incremental training of machine learning models on edge devices

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Food contamination prediction device, inference device, machine learning device, food contamination prediction method, inference method, and machine learning method

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Using machine learning to identify one or more software applications to perform a particular task

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Method and system for semi-supervised deep anomaly detection for large-scale industrial monitoring systems based on time-series data utilizing digital twin simulation data

Номер патента: US12093818B2. Автор: Andrea Castellani,Sebastian Schmitt,Stefano SQUARTINI. Владелец: HONDA RESEARCH INSTITUTE EUROPE GMBH. Дата публикации: 2024-09-17.

Calibrating pathogencity scores from a variant pathogencity machine-learning model

Номер патента: WO2024182530A1. Автор: Kai-How FARH,Tobias Hamp,Jeffrey Mark EDE. Владелец: Illumina, Inc.. Дата публикации: 2024-09-06.

Systems and methods for content distribution using machine learning

Номер патента: US20240320710A1. Автор: Mihir Naware,Anil Kamath,Lauren Dest,Suman Basetty,Rebecca Dorothy West,Elliot Axel Patrick Puzenat,Stephen Becigneul,Alexis Tessier,Kimberly K. Lenox. Владелец: Adobe Inc. Дата публикации: 2024-09-26.

Machine learning driven teleprompter

Номер патента: EP4423748A1. Автор: Shivani Gupta,Tarun Malik,Michael Jay Gilmore,Stephanie Lorraine Horn,Chakkaradeep Chinnakonda Chandran,Sarah ZAKI,Tiffany Michelle SMITH,Pranjal SAXENA,Ridhima GUPTA. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2024-09-04.

Architecture to employ machine-learning model

Номер патента: WO2022253602A1. Автор: Generoso Pagano,Davide SANAPO,Michael DEFOIN-PLATEL. Владелец: AMADEUS S.A.S.. Дата публикации: 2022-12-08.

Machine learning enabled pulse and base calling for sequencing devices

Номер патента: AU2019211435B2. Автор: Jonathan M. Rothberg,Michael Meyer,Umut ESER. Владелец: Quantum Si Inc. Дата публикации: 2024-08-15.

Utilizing machine learning and trusted transaction card locations to generate a geographical map of the trusted transaction cards

Номер патента: US12079812B2. Автор: James ZARAKAS,Adam Vukich,Molly Johnson. Владелец: Capital One Services LLC. Дата публикации: 2024-09-03.

Utilizing a machine learning model for predicting issues associated with a closing process of an entity

Номер патента: US12112388B2. Автор: Kaushik Dey,Chiranjit SEAL,Bula ROY,Atrayee CHATTERJEE,Punitha NITHYANANDAM. Владелец: Accenture Global Solutions Ltd. Дата публикации: 2024-10-08.

Calibrating pathogenicity scores from a variant pathogenicity machine-learning model

Номер патента: WO2024182530A9. Автор: Kai-How FARH,Tobias Hamp,Jeffrey Mark EDE. Владелец: Illumina, Inc.. Дата публикации: 2024-10-10.

Systems and methods for determining search token importance using machine learning architectures

Номер патента: US20240330377A1. Автор: Ciya Liao,Satya Chembolu,Tony Eilo Lee,Kaushal Yagnik. Владелец: Walmart Apollo LLC. Дата публикации: 2024-10-03.

Semi-supervised machine learning model framework for unlabeled learning

Номер патента: US20240346322A1. Автор: Mahesh Balan Umaithanu,Rohith Srinivaas Mohanakrishnan,Venkata Subramanian Selvaraj. Владелец: PayPal Inc. Дата публикации: 2024-10-17.

Xr experience based on generative model output

Номер патента: US20240354555A1. Автор: Jonathan Solichin,Jacob Knipfing,Alex Meckes. Владелец: Snap Inc. Дата публикации: 2024-10-24.

Accelerating preventative maintenance recovery and recipe optimizing using machine-learning based algorithm

Номер патента: US12106984B2. Автор: Pengyu Han. Владелец: Applied Materials Inc. Дата публикации: 2024-10-01.

Xr experience based on generative model output

Номер патента: WO2024220327A1. Автор: Jonathan Solichin,Jacob Knipfing,Alex Meckes. Владелец: Snap Inc.. Дата публикации: 2024-10-24.

Batch selection policies for training machine learning models using active learning

Номер патента: US20240354575A1. Автор: Michael Bailey,Ruijiang Li,Ziv Bar-Joseph,Sven Jager,Saeed Moayedpour. Владелец: SANOFI SA. Дата публикации: 2024-10-24.

Batch selection policies for training machine learning models using active learning

Номер патента: US20240354655A1. Автор: Michael Bailey,Ruijiang Li,Ziv Bar-Joseph,Sven Jager,Saeed Moayedpour. Владелец: SANOFI SA. Дата публикации: 2024-10-24.

Automated machine learning-based detection of correct implementations for configuraiton settings of software-as-a-service applications

Номер патента: US20240362277A1. Автор: II William Redington Hewlett,Nandini Ramanan,Mrunmayi Bharat Nandgaonkar,Anurag Mukund Phadke,Sreejith Rajkumar. Владелец: Palo Alto Networks Inc. Дата публикации: 2024-10-31.

Training methodology for contrastive learning based on associative metadata

Номер патента: EP4443349A1. Автор: Thomas Lidy,Pablo Alonso Jimenéz,Xavier Favory. Владелец: Utopia Music Ag. Дата публикации: 2024-10-09.

Machine-learning-based integrated circuit test case selection

Номер патента: US20240320408A1. Автор: Kumar Raj,Gökçe Sarar,Santanu PATTANAYAK,Tushit Jain,Guillaume SHIPPEE,Rhys BUGGY,Suman Kumar GUNNALA,Vatsal Nimeshkumar THAKKAR. Владелец: Qualcomm Inc. Дата публикации: 2024-09-26.

Predictive machine learning techniques for optimal resource allocation using nonlinear causal inference

Номер патента: US20240362068A1. Автор: Michael J. McCarthy,Kevin A. HEATH,Breanndán Ó Conchúir,Conor John Waldron. Владелец: Optum Services Ireland Ltd. Дата публикации: 2024-10-31.

Systems and methods for determining cardiac contractility based on signals from a mechanical circulatory support device

Номер патента: US20240347189A1. Автор: Zhengyang Zhang,Christian Moyer,Govind BHALA. Владелец: Abiomed Inc. Дата публикации: 2024-10-17.

Machine learning model training method and apparatus

Номер патента: US12067483B2. Автор: Bin Wu,Zhenguo Li,Fengwei ZHOU. Владелец: Huawei Technologies Co Ltd. Дата публикации: 2024-08-20.

Hyperspectral image analysis using machine learning

Номер патента: WO2024178488A1. Автор: Francis George Doumet,Migel Dileepa Tissera,Parisa Asgharzadeh,Ahmed Sigiuk. Владелец: Mlvx Technologies Inc.. Дата публикации: 2024-09-06.

Data compression techniques for machine learning models

Номер патента: US12061671B2. Автор: Bo Guo,Rajkumar BONDUGULA. Владелец: Equifax Inc. Дата публикации: 2024-08-13.

Topological order determination using machine learning

Номер патента: US12056207B1. Автор: Tao Huang,Jan Chvosta,Xilong Chen. Владелец: SAS Institute Inc. Дата публикации: 2024-08-06.

Batch selection policies for training machine learning models using active learning

Номер патента: WO2024220902A1. Автор: Ruijiang Li,Ziv Bar-Joseph,Saeed Moayedpour,Michael Alexander BAILEY,Sven Frederik JAGER. Владелец: SANOFI. Дата публикации: 2024-10-24.

Machine learning using simulated cardiograms

Номер патента: AU2024227471A1. Автор: Christopher VILLONGCO. Владелец: Vektor Medical Inc. Дата публикации: 2024-11-07.

Systems and methods for determining cardiac contractility based on signals from a mechanical circulatory support device

Номер патента: WO2024211819A1. Автор: Zhengyang Zhang,Christian Moyer,Govind BHALA. Владелец: ABIOMED, Inc.. Дата публикации: 2024-10-10.

Automated region of interest detection using machine learning and extended Hough transform

Номер патента: US09972093B2. Автор: Liang Zhao,Xiang Sean Zhou,Zhigang Peng. Владелец: Siemens Healthcare GmbH. Дата публикации: 2018-05-15.

Generation of weights in machine learning

Номер патента: US09953271B2. Автор: Yaser Said Abu-Mostafa,Carlos Roberto Gonzalez. Владелец: California Institute of Technology CalTech. Дата публикации: 2018-04-24.

System and method for improving viewing experience on a digital device

Номер патента: US09952658B2. Автор: Kiran Kumar Channarayapatna Sathyanarayana,Raghavendra Hosabettu,Parthasarathy Shunmugam Armugasamy. Владелец: Wipro Ltd. Дата публикации: 2018-04-24.

Anomaly determinations using decoy devices and machine learning models

Номер патента: US20240354402A1. Автор: Luís Miguel ALVES VIDAL DE SEABRA,Pedro Miguel AMORIM FERRERA DE SOUSA. Владелец: Innowave Technologies LLC. Дата публикации: 2024-10-24.

Cold start machine learning algorithm

Номер патента: US09886651B2. Автор: Uri MERHAV,Dan Shacham. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2018-02-06.

Machining program creating device numerical control device, machining system, machining program creating method, numerical control method, and machining program

Номер патента: US09678500B2. Автор: Takeshi Tsuda,Munetaka Wakizaka,Tsuyoshi Kumazawa. Владелец: DMG Mori Seiki Co Ltd. Дата публикации: 2017-06-13.

Machining error calculation apparatus, machining error calculation method, machining control apparatus and machining control method thereof

Номер патента: US09599979B2. Автор: Kenji Hamada. Владелец: JTEKT Corp. Дата публикации: 2017-03-21.

Method for issuing recommendations for maintaining a healthy lifestyle based on daily user activity parameters automatically tracked in real time, and a corresponding system (versions)

Номер патента: RU2712395C1. Автор: Константин Александрович Павлов,Алексей Вячеславович ПЕРЧИК,Хеджон СО,Минджи КИМ,Владислав Валерьевич Лычагов. Владелец: САМСУНГ ЭЛЕКТРОНИКС КО., ЛТД.. Дата публикации: 2020-01-28.

Image processing system and machine readable recording medium

Номер патента: RU2648955C1. Автор: Масафуми ХИГАШИ,Такаши НАКАМАЕ,Рео АОКИ. Владелец: ЭЙЗО Корпорайшн. Дата публикации: 2018-03-28.

Method, system and machine-readable storage media for detecting objects using recurrent neural network and linked feature map

Номер патента: RU2701051C2. Автор: МУРАЛИ Видия НАРИЯМБУТ,Парса МАХМУДИ,Гай ХОТСОН. Владелец: ФОРД ГЛОУБАЛ ТЕКНОЛОДЖИЗ, ЭлЭлСи. Дата публикации: 2019-09-24.

System and methods to mitigate adversarial targeting using machine learning

Номер патента: US20200387752A1. Автор: Eren Kursun. Владелец: Bank of America Corp. Дата публикации: 2020-12-10.

Method and system for key predictors and machine learning for configuring cell performance

Номер патента: WO2022186867A1. Автор: Hong Zhao,Benjamin Park,Giulia Canton,Ian Browne,Sam Keene,Xianyang Li. Владелец: ENEVATE CORPORATION. Дата публикации: 2022-09-09.

Artificial intelligence and machine learning systems and methods for a storage system

Номер патента: US20200125260A1. Автор: Shankar Pasupathy,Samya Maiti,Shubhvardhan Manjayya. Владелец: NetApp Inc. Дата публикации: 2020-04-23.

Machine learning device, machine learning system, and machine learning method

Номер патента: US11956353B2. Автор: Kentaro Mihara. Владелец: Eaglys Inc. Дата публикации: 2024-04-09.

Systems, methods, and apparatus for artificial intelligence and machine learning based reporting of communication channel information

Номер патента: US20230412230A1. Автор: Hyukjoon Kwon,Hamid Saber,Jung Hyun Bae. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2023-12-21.

Transferable hybrid prognostics based on fundamental degradation modes

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Evaluating user status via natural language processing and machine learning

Номер патента: US11983716B2. Автор: Yael Cohen,Matias Rotenberg,Ran Yuchtman,Gal Hochma,Shay Elbaz,Chen Levkovich. Владелец: PayPal Inc. Дата публикации: 2024-05-14.

Systems and methods for using artificial intelligence and machine learning to improve cardiovascular health such that the need for a cardiac intervention is mitigated

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Parallel analog circuit optimization method based on genetic algorithm and machine learning

Номер патента: US11714943B2. Автор: Yong Wang,Xuezheng Huang,Yaping Li,Juanjuan Sun,Yusong LI,Ranran ZHOU. Владелец: Shandong University. Дата публикации: 2023-08-01.

A parallel analog circuit optimization method based on genetic algorithm and machine learning

Номер патента: US20230092630A1. Автор: Yong Wang,Xuezheng Huang,Yaping Li,Juanjuan Sun,Yusong LI,Ranran ZHOU. Владелец: Shandong University. Дата публикации: 2023-03-23.

Improving accuracy of machine learning operations by compensating for lower precision with scale shifting

Номер патента: WO2024065848A1. Автор: Kshitij DOSHI,Pujiang HE. Владелец: Intel Corporation. Дата публикации: 2024-04-04.

Machine learning device and machine learning method

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Artificial intelligence and machine learning based incident management

Номер патента: AU2019268056A1. Автор: Sankar Ghosh,Amit Bisarya,Reshmi Nandy,Priyadarshi Sengupta. Владелец: Accenture Global Solutions Ltd. Дата публикации: 2020-07-16.

Automated versioning and evaluation of machine learning workflows

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Endoscopic systems including a multimode optical fiber and a machine learning classifier for interrogating a portion of a body

Номер патента: US12035998B2. Автор: Eden Rephaeli,Dimitri Azar,James Polans. Владелец: Verily Life Sciences LLC. Дата публикации: 2024-07-16.

Mass spectrometry extraction and selection pipeline for machine learning

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System, vehicle, method and non-transitory computer readable storage medium for improving driving safety

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Based on the transformer station's dynamic reactive power optimization method and system for improving bat algorithm

Номер патента: CN105406485B. Автор: 黄辉,林捷,曾峰,郭文鑫,黄熙恒,林冠强,蔡安铭,邓应松,向立昆,秦金平,罗松青,郑惠娟,陈少怀,廖绍谦. Владелец: Shantou Power Supply Bureau of Guangdong Power Grid Co Ltd. Дата публикации: 2018-02-06.

SYSTEM AND METHOD FOR GENERATING ADVICE FOR IMPROVING INTERNET AND WIFI PERFORMANCE IN A NETWORK USING MACHINE-LEARNING TECHNIQUES

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Thread making method for improving deformation resistance of reinforced bar joint and machining device

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Algorithm of integrated remote contactless multichannel analysis of psychoemotional and physiological state of object based on audio and video content

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Access point coordination using graphs and machine learning processes

Номер патента: US20240267748A1. Автор: Qihong Shao,Doosan Jung,Qixu Gong. Владелец: Cisco Technology Inc. Дата публикации: 2024-08-08.

Drainage pump device, drainage pump management system, drainage pump support plan creation device, inference device, machine learning device, drainage pump support plan creation method, inference method, and machine learning method

Номер патента: EP4446594A1. Автор: Hideyuki Iwamoto,Shigeru Okamoto,Kazuhiko Sugiyama,Yosuke Harada. Владелец: Ebara Corp. Дата публикации: 2024-10-16.

Artificial intelligence and machine learning architecture in a battery system

Номер патента: US20240351472A1. Автор: Chandan Gope,Yoosok SAW,Kevin Yiwei ZHAO,William Joseph JUDGE. Владелец: Element Energy Inc. Дата публикации: 2024-10-24.

Artificial intelligence and machine learning architecture in a battery system

Номер патента: WO2024215374A1. Автор: Chandan Gope,Yoosok SAW,Kevin Yiwei ZHAO,William Joseph JUDGE. Владелец: Element Energy, Inc.. Дата публикации: 2024-10-17.

Smart machines and machine learning for hemodynamic support devices

Номер патента: AU2022402006A1. Автор: Elise Jortberg,Eric Chase,Maximilian Maier,Dawn Bardot,Christian Moyer,Govind BHALA,Christoph GRIESSHAMMER. Владелец: Abiomed Inc. Дата публикации: 2024-06-13.

Multi-head machine learning model for processing multi-sensor data

Номер патента: US20240246559A1. Автор: Pranay Agrawal. Владелец: GM Cruise Holdings LLC. Дата публикации: 2024-07-25.

Seizure detection algorithm adjustment

Номер патента: US12036401B2. Автор: Nathan A. Torgerson,Jonathon E. Giftakis. Владелец: MEDTRONIC INC. Дата публикации: 2024-07-16.

Pour point depressants for improving low-temperature viscosity of aged lubricating oil

Номер патента: RU2683257C2. Автор: Джоан СОУЧИК,Эйлин Т. ФЛАНАГАН,Филип Эндрю ХАТЧИНСОН,Чжэнь-Лунг ВАН,Шан-Цзи ЦАЙ. Владелец: Эвоник Оил Эддитивс Гмбх. Дата публикации: 2019-03-27.

Methods and systems for privacy preserving evaluation of machine learning models

Номер патента: US20220247551A1. Автор: Marc Joye,Fabien A. P. PETITCOLAS. Владелец: Onespan Nv. Дата публикации: 2022-08-04.

Using machine learning for determining relaxation of measurements performed by a user equipment

Номер патента: US20240381152A1. Автор: Hans Thomas HÖHNE,Jian Song,Daniela Laselva,Amaanat ALI,Teemu Mikael VEIJALAINEN,Ahmad Masri. Владелец: NOKIA TECHNOLOGIES OY. Дата публикации: 2024-11-14.

Smart Tree Health Assessment (THA) model using advanced computer vision techniques and machine learning

Номер патента: AU2021104683A4. Автор: Piyush Shukla,Saad Alqithami,Rutvij Jhaveri,Poongodi M,Deepsubhra Guha Roy,Malathy Sathyamoorthy. Владелец: Shukla Piyush Dr. Дата публикации: 2021-10-07.

Machine learning patterns of failure in broadband networks

Номер патента: WO2024088672A1. Автор: Moustafa Ashraf Fawzy Moustafa MAHMOUD,Gideon ACQUAAH-HARRISON,Mithu JAMES,Robert ANTONIO. Владелец: BRITISH TELECOMMUNICATIONS PUBLIC LIMITED COMPANY. Дата публикации: 2024-05-02.

Machine learning model to determine a proper subset of a multimedia file for a viewer based on their interest

Номер патента: US12047650B1. Автор: Arjun Cholkar,Hooman Mahyar,ShivaKumar Krishnamurthy,Rafael Soltanovich. Владелец: Amazon Technologies Inc. Дата публикации: 2024-07-23.

Machine learning model monitoring with autoencoder

Номер патента: WO2024176165A1. Автор: Zhan Zhang,Yufei Blankenship. Владелец: Telefonaktiebolaget lM Ericsson (publ). Дата публикации: 2024-08-29.

Machine-learning-based inter-frequency signal level estimation

Номер патента: US20240275637A1. Автор: Kausik Ray Chaudhuri,Atanu Basudeb Halder,Rita ENAMI. Владелец: Qualcomm Inc. Дата публикации: 2024-08-15.

Machine learning for moist convection: modeling novel method of aqua condensation using renewable energy

Номер патента: AU2020103276A4. Автор: T.R. Ganesh Babu,P Madhumathy,S Mohan Kumar,Ramalingam Umamaheswari. Владелец: Ramalingam Umamaheswari Dr. Дата публикации: 2021-01-14.

Surgical stapling tool with engine control based on current measured further along chain

Номер патента: RU2731308C2. Автор: Дэвид К. ЙЭЙТС,IV Фредерик Э. ШЕЛТОН. Владелец: ЭТИКОН ЭлЭлСи. Дата публикации: 2020-09-01.

Method for manufacturing the heating grid and machine for its implementation

Номер патента: RU2748851C1. Автор: Дмитрий Анатольевич Алешин,Евгений Николаевич Беляев,Илья Валерьевич Зинченко,Антон Андреевич Клямко,Максим Вольдемарович Хаянен. Владелец: Общество с ограниченной ответственностью "ТеплоКарбон". Дата публикации: 2021-06-01.

Penal protective device for improvement of safety of driver and passengers in case of car accident

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Fabrication of Novel Cylindrical Thermosyphon for Effective Heat Transfer and its Performance Analysis Using Machine Learning Approach

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Adaptive Machine Learning For Dynamic Wireless Communication Configuration

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Training Action Prediction Machine-Learning Models for Video Games with Healed Data

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Training Action Prediction Machine-Learning Models for Video Games with Healed Data

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Functionality based two-sided machine learning operations

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Machine learning driven framework for virtual power plant (vpp) energy management

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Training action prediction machine-learning models for video games with healed data

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Make-before-break mobility of machine learning context

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Computer-based systems, computing components and computing objects configured to implement dynamic outlier bias reduction in machine learning models

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