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Machine learning for identifying idle sessions

Номер патента: US20240121311A1
Опубликовано: 11-04-2024
Автор(ы): Khoa Dang Nguyen, Prerana Dharmesh GAMBHIR, Sharena Meena PARI-MONASCH, Yiming Shi, Yongchang Dong
Принадлежит: Microsoft Technology Licensing LLC
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A machine-learning-based cyber-attack susceptibility detection and/or monitoring system providing quantitative measures for a system's cyber-attack susceptibility and method thereof

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Automated machine learning using large language models

Номер патента: WO2024173125A1. Автор: Geoffrey Lyall McDonald,Sebastian J. KOCHMAN. Владелец: Microsoft Technology Licensing, LLC. Дата публикации: 2024-08-22.

Method for identifying a device using attributes and location signatures from the device

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Network anomaly detection using machine learning models

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

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Systems and methods configuring a unified threat machine learning model for joint content and user threat detection

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Configuring a user equipment for machine learning

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Real-time monitoring of machine learning models in service orchestration plane

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Machine learning component management

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Machine learning for channel estimation against diverse doppler effects

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Negotiating machine learning model input features based on cost in constrained networks

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System and method for watermarking a machine learning model

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Machine learning system for detecting anomalies in hunt data

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

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Two-Level Sequence Learning for Analyzing, Metering, Generating, and Cracking Passwords

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Machine learning model feature selection in a communication network

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Apparatus, methods and computer programs supporting machine learning functionality

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Machine learning for channel estimation against diverse doppler effects

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Recommendation engine with machine learning for guided service management, such as for use with events related to telecommunications subscribers

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Recommendation engine with machine learning for guided service management, such as for use with events related to telecommunications subscribers

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Sharing of machine learning models in communication networks

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Personalized machine learning model management and deployment on edge devices

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Processing communications signals using a machine-learning network

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Machine learning for home understanding and notification

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Machine learning monitoring techniques for identifying and facilitating model retraining

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Smart receiver with compressive sensing and machine learning

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System for providing precise position information on basis of machine learning, and provision method therefor

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Decoder adaptation in machine learning-based wireless communication

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Machine learning for positioning

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Wireless signaling in federated learning for machine learning components

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Systems and methods for identifying a behavioral target during a conversation

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Systems and methods for identifying a behavioral target during a conversation

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Systems and methods for identifying a behavioral target during a conversation

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Systems and methods for identifying a behavioral target during a conversation

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Device, system, and method for training machine learning algorithms to generate talkgroups based on in-call data

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Device, system, and method for training machine learning algorithms to generate talkgroups based on in-call data

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Enhanced collaboration between user equpiment and network to facilitate machine learning

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Capability indication for a multi-block machine learning model

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Training of a machine learning model to generate a 3d image

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Multimodal machine learning for generating three-dimensional audio

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Machine learning localization methods and systems

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

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Systems and methods for accelerating a disposition of digital dispute events in a machine learning-based digital threat mitigation platform

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Machine learning models for detecting the causes of conditions of a satellite communication system

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Method to learn precise sensing fingerprints based on machine learning integration

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Bandwidth allocation using machine learning

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General digital signal processing waveform machine learning control application

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Systems and methods for leveraging machine learning for improving and enhancing dvr services

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Communication method and apparatus used for training machine learning model

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Machine learning model training method, service data processing method, apparatuses, and systems

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Data sovereignty compliant machine learning

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Network-accessible machine learning model training and hosting system

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Implementing machine learning in a resource-constrained environment

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Machine learning training resource management

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MACHINE LEARNING ARTIFICIALINTELLIGENCE SYSTEM FOR IDENTIFYING VEHICLES

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Parameter estimation with machine learning for flash channel

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Methods and apparatus to load data within a machine learning accelerator

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Block chain based smart contract and micro grid energy management system using machine learning algorithms

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Machine learning apparatus and method for optimizing smoothness of feed of feed axis of machine and motor control apparatus including machine learning apparatus

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Memory device with microbumps to transmit data for a machine learning operation

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Machine learning based system for identifying and monitoring neurological disorders

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Machine learning based system for identifying and monitoring neurological disorders

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Methods and systems for identifying aircraft faults

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On-device machine learning platform to enable sharing of machine-learned models between applications

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High-speed scanning parser for scalable collection of statistics and use in preparing data for machine learning

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High-speed scanning parser for scalable collection of statistics and use in preparing data for machine learning

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Method and system for building a machine learning model

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Machine learning framework for generic object detection

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Computational platform using machine learning for integrating data sharing platforms

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Computational platform using machine learning for integrating data sharing platforms

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Architecture to employ machine-learning model

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Few-shot learning for processing microscopy images

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Machine learning method and machine learning apparatus learning point of connection of ground wire or shield wire and electric motor control apparatus and electric motor apparatus provided with machine learning apparatus

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Machine learning method and machine learning apparatus learning point of connection of ground wire or shield wire and electric motor control apparatus and electric motor apparatus provided with machine learning apparatus

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Personal Wellness Keyboard Using Lighting and Machine Learning

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Machine learning device, motor control system, and machine learning method for learning cleaning interval of fan motor

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Maximum power point trackable and optimized iot based pv charge controller using machine learning

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Simulation of electronic circuitry with machine learning augmentation

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Machine learning models for electrical power simulations

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Machine learning models for electrical power simulations

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Method and system for classifying data for identifying confidential information in the text

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Method and system for creating personalized user parameter of interest for identifying personalized target content element

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Root cause analysis for deterministic machine learning model

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System and method for heterogeneous transferred learning for enhanced cybersecurity threat detection

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Shared network learning for machine learning enabled text classification

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Apparatus and method for finding meaningful patterns in large datasets using machine learning

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Apparatus and method for finding meaningful patterns in large datasets using machine learning

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Automated data integration, reconciliation, and self healing using machine learning

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Automated process execution based on evaluation of machine learning models

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Federated learning technique for applied machine learning

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Documentation file-embedded machine learning models

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Protection of a machine-learning model

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Methods, apparatus and machine-readable mediums relating to machine learning models

Номер патента: WO2022171308A1. Автор: Konstantinos Vandikas,Selim ICKIN,Athanasios KARAPANTELAKIS,Marin ORLIC,Aneta VULGARAKIS FELJAN. Владелец: Telefonaktiebolaget lM Ericsson (publ). Дата публикации: 2022-08-18.

Automatically Building Efficient Machine Learning Model Training Environments

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

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Facilitating implementation of machine learning models in embedded software

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Offline evaluation of machine learning models with noise reduction

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Machine learning for computational patterning

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Machine learning model aggregation

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

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Predictive method based upon machine learning for the development of composites for tyre tread compounds

Номер патента: EP4252242A1. Автор: Roberto Lombardi,Paolo PACIOTTA,Andrea GUIDI. Владелец: Bridgestone Europe NV SA. Дата публикации: 2023-10-04.

System, Method, and Computer Program Product for Segmentation Using Knowledge Transfer Based Machine Learning Techniques

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Verifying the provenance of a machine learning system

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Distributed learning machine learning models for personalization

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Multi-channel machine learning model-based inversion

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Hybrid machine learning architecture for visual content processing and uses thereof

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Managing machine learning training and machine learning model training control

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

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Hybrid machine learning architecture for visual content processing and uses thereof

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Dynamic machine learning on premise model selection based on entity clustering and feedback

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Systems and methods for evaluating machine-learning models and predictions

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Instantiating machine-learning models at on-demand cloud-based systems with user-defined datasets

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Systems and methods for automatically retraining machine learning models to remove systematic bias

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Automated customized machine learning model validation flow

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Method and system for performing machine learning

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Method and system for performing machine learning

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Method and system for performing machine learning

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Tiered evaluation metric for comprehensively evaluating machine learning models

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Machine Learning Model Deployment in Inference System

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Providing a secure and collaborative feedback mechanism for machine learning models

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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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Computer-implemented method for generating a combined machine learning model

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System and method for machine learning modeling and estimation of loss

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Deploying simplified machine learning models to resource-constrained edge devices

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Source selection based on diversity for machine learning

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

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Source selection based on diversity for machine learning

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Assessment of trustworthiness of a trained machine learning entity

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Apparatus, method, and computer program product for configuration, association, registration, training, and monitoring of machine learning models for operational systems

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Input generation for multimodal learning based machine learning models

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Techniques for heterogeneous continual learning with machine learning model architecture progression

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Method and system for training a machine learning model

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Aktives Lernen für Machine Learning-Modelle auf der Basis von Relevanz und automatischer Labelqualität

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System and methods for an adaptive machine learning model selection based on data complexity and user goals

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Generative machine learning framework

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Scalable-effort classifiers for energy-efficient machine learning

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Allocation of machine learning resource

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Identifying performance degradation in machine learning models based on comparison of actual and predicted results

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Confidential tuning of pre-trained machine learning models

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Device, system, and method for reducing machine learning bias in machine learning generated textual lists of time-stamped events

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Source Selection based on Diversity for Machine Learning

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Visually creating and monitoring machine learning models

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Multiple channels of rasterized content for page decomposition using machine learning

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Generative machine learning framework

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Data processing system with machine learning engine to provide output generating functions

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Optimizing a machine learning system

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Futureproofing a machine learning model

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Machine learning-assisted user reporting and moderation of multimedia content

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Machine learning model management

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Hybrid user contributed rules and machine learning framework

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Attention-based classifier machine learning models using dual-positional-mode segment embeddings

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Futureproofing a machine learning model

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Physics compliance indicator (pci) for machine learning

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Machine Learning for Predicting Incremental Changes in Session Data

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Machine learning optimization of control code in an industrial automation environments

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Machine learning for predicting incremental changes in session data

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Techniques for evaluating an effect of changes to machine learning models

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Optimization of parameter values for machine-learned models

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Computer-implemented method for validating a trained machine learning model with regard to any potential misclassification and associated safety-critical consequence

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Continuous machine learning system for containerized environment with limited resources

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Machine learning model management

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Machine learning model management

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Systems and methods for machine-learned models having convolution and attention

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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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Generation and deployment of context-specific machine learning models

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Performance determination of machine learning models based on decision boundary geometry

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Machine learning model training

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Machine learning apparatus, machine learning method, and computer-readable recording medium

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Systems and methods for reverse hypothesis machine learning

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

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

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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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Computer-implemented method for providing explanations concerning a global behaviour of a machine learning model

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Computer-implemented method for providing explanations concerning a global behaviour of a machine learning model

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Machine learning guided design of viral vector libraries

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Effective leveraging of synthetic data for depth estimation machine learning models

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Transfer knowledge from auxiliary data for more inclusive machine learning models

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Dual-domain self-supervised learning for accelerated non-cartesian magnetic resonance imaging reconstruction

Номер патента: US20240290011A1. Автор: Bo Zhou,Michal Sofka,Jo Schlemper,Neel Dey. Владелец: Hyperfine Inc. Дата публикации: 2024-08-29.

Computer-based systems including machine learning models trained on distinct dataset types and methods of use thereof

Номер патента: US20210241036A1. Автор: Joshua Edwards,Michael Mossoba,Abdelkader M'Hamed Benkreira. Владелец: Capital One Services LLC. Дата публикации: 2021-08-05.

Machine learning for generative geometric modelling

Номер патента: CA3241710A1. Автор: Yuanming SHU. Владелец: Ecopia Tech Corp. Дата публикации: 2023-11-02.

Computer-based systems including machine learning models trained on distinct dataset types and methods of use thereof

Номер патента: US12086823B2. Автор: Joshua Edwards,Michael Mossoba,Abdelkader M'Hamed Benkreira. Владелец: Capital One Services LLC. Дата публикации: 2024-09-10.

Machine learning for generative geometric modelling

Номер патента: EP4437466A1. Автор: Yuanming SHU. Владелец: Ecopia Tech Corp. Дата публикации: 2024-10-02.

Edge devices and gateways with machine learning for detecting anomalies in building equipment vibration data

Номер патента: US12050442B2. Автор: John M. Sullivan,Kelsey C. Schuster,Christopher J. Verink,Matthias Walczyk,Andrew S. Pike. Владелец: Tyco Fire and Security GmbH. Дата публикации: 2024-07-30.

Edge devices and gateways with machine learning for detecting anomalies in building equipment vibration data

Номер патента: US20220244682A1. Автор: John M. Sullivan,Kelsey C. Schuster,Christopher J. Verink,Matthias Walczyk,Andrew S. Pike. Владелец: Johnson Controls Tyco IP Holdings LLP. Дата публикации: 2022-08-04.

System for identifying fresh products for a retail trade cash terminal

Номер патента: RU2769888C2. Автор: Марсель ХЕРЦ,Кристофер САМПСОН. Владелец: ТИЛИТЕР ПиТиУай ЛТД. Дата публикации: 2022-04-07.

Machine learning model abstraction layer for runtime efficiency

Номер патента: US20210004726A1. Автор: Narinder Paul,Shashank Gupta,Dianhuan Lin,Rex Shang,Howie XU,Changsha MA,Douglas A. Koch,Parnit Sainion,Visvanathan Thothathri. Владелец: Zscaler Inc. Дата публикации: 2021-01-07.

Method and apparatus for identifying a chemical compound

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Learning coach for machine learning system

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Learning coach for machine learning system

Номер патента: EP3520038A1. Автор: James K. Baker. Владелец: D5AI LLC. Дата публикации: 2019-08-07.

Machine learning for insurance applications

Номер патента: US12086886B2. Автор: Anthony DiFranco. Владелец: Amtrust Financial Services Inc. Дата публикации: 2024-09-10.

Machine learning device and maching learning method of machine learning device

Номер патента: US20190370661A1. Автор: Namyeong Kwon,Hayoung JOO. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2019-12-05.

Learning coach for machine learning system

Номер патента: US20200184337A1. Автор: James K. Baker. Владелец: D5AI LLC. Дата публикации: 2020-06-11.

Knowledge sharing for machine learning systems

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Automated problem detection for machine learning models

Номер патента: US20210097433A1. Автор: Vladimir ZHUKOV,Stefano Stefani,Andrea Olgiati,Maximiliano Maccanti,Zohar Karnin,Arun Babu NAGARAJAN,Gowda Dayananda ANJANEYAPURA RANGE,Laurence Louis Eric Rouesnel,Lakshmi Naarayanan Ramakrishnan,Urvashi Chowdhary. Владелец: Amazon Technologies Inc. Дата публикации: 2021-04-01.

Transfer learning for molecular structure generation

Номер патента: US12079730B2. Автор: Payel Das,Inkit Padhi,Enara C Vijil. Владелец: International Business Machines Corp. Дата публикации: 2024-09-03.

Machine learning for intelligent radiotherapy data analytics

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Learning method using machine learning to generate correct sentences, extraction method, and information processing apparatus

Номер патента: US11977975B2. Автор: Tomoya Iwakura. Владелец: Fujitsu Ltd. Дата публикации: 2024-05-07.

Active surveillance and learning for machine learning model authoring and deployment

Номер патента: EP3789929A1. Автор: Gopal B. Avinash,Junpyo Hong,Venkata Ratnam Saripalli,Karley Marty Yoder,Keith Bigelow. Владелец: GE Precision Healthcare LLC. Дата публикации: 2021-03-10.

Digital watermarking of machine learning models

Номер патента: US20210019605A1. Автор: Farinaz Koushanfar,Bita DARVISH ROUHANI,Huili Chen. Владелец: UNIVERSITY OF CALIFORNIA. Дата публикации: 2021-01-21.

Utilizing multiple stacked machine learning models to detect deepfake content

Номер патента: US12062105B2. Автор: Neil Hayden LIBERMAN,Leah DING. Владелец: Accenture Global Solutions Ltd. Дата публикации: 2024-08-13.

Methods and systems for dynamically generating a plurality of machine learning systems during processing of a user data set

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Digital watermarking of machine learning models

Номер патента: US20240242191A1. Автор: Farinaz Koushanfar,Bita DARVISH ROUHANI,Huili Chen. Владелец: UNIVERSITY OF CALIFORNIA. Дата публикации: 2024-07-18.

Machine learning techniques for identifying clouds and cloud shadows in satellite imagery

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Machine learning techniques for identifying clouds and cloud shadows in satellite imagery

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Machine learning driven automated incident prevention

Номер патента: EP4107622A1. Автор: Xiaohui Gu. Владелец: Individual. Дата публикации: 2022-12-28.

Double Blind Machine Learning Insight Interface Apparatuses, Methods and Systems

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Machine learning driven automated incident prevention

Номер патента: WO2022093239A1. Автор: Xiaohui Gu. Владелец: Xiaohui Gu. Дата публикации: 2022-05-05.

Machine learning for intelligent radiotherapy data analytics

Номер патента: EP4409600A1. Автор: Jose Carlos Belloso,Sven Ehmes. Владелец: Varian Medical Systems Inc. Дата публикации: 2024-08-07.

Integrated machine learning training

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Machine-learning for content interaction

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Spatiotemporal deep learning for behavioral biometrics

Номер патента: US12019720B2. Автор: Youngja Park,Taesung Lee,Ian Michael Molloy. Владелец: International Business Machines Corp. Дата публикации: 2024-06-25.

Hybrid learning of expert heuristics, machine and deep learning for ranking automotive-grade applications

Номер патента: EP4359979A1. Автор: Yosef Golan,Jonathan Katz,Shachar Mendelowitz,Ori GOLDBERG. Владелец: Red Bend Ltd. Дата публикации: 2024-05-01.

Training and operating a machine learning system

Номер патента: US20210182577A1. Автор: Masato Takami,Uwe Brosch. Владелец: ROBERT BOSCH GMBH. Дата публикации: 2021-06-17.

Double blind machine learning insight interface apparatuses, methods and systems

Номер патента: EP3616135A1. Автор: Adam Branyan Cushner,Jacob Grabczewski,Sara Sue Robertson,Inga Silkworth,Karl BUNCH. Владелец: XAXIS Inc. Дата публикации: 2020-03-04.

Hybrid learning of expert heuristics, machine and deep learning for ranking automotive-grade applications

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Unattended object detection using machine learning

Номер патента: US20220019854A1. Автор: RONG Yan,Shi Lei Zhang,Junsong Wang,Ke Wei Sun. Владелец: International Business Machines Corp. Дата публикации: 2022-01-20.

Multi-thread of upward bow pose machine learning for multi-tenant time series database

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Utilizing machine-learning models to generate identifier embeddings and determine digital connections between digital content items

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Discriminative model for identifying and demarcating textual features in risk control documents

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No-coding machine learning pipeline

Номер патента: US12045585B2. Автор: Jiaqi Guo,Pavel A. Dournov. Владелец: Google LLC. Дата публикации: 2024-07-23.

Automatic generation of ground truth data for training or retraining machine learning models

Номер патента: US20210027103A1. Автор: Eric Todd Brower. Владелец: Nvidia Corp. Дата публикации: 2021-01-28.

Protecting machine learning models from privacy attacks

Номер патента: US11755743B2. Автор: Amit Sharma,Aditya Vithal Nori,Shruti Shrikant Tople. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2023-09-12.

Systems and methods for determining a user specific mission operational performance metric, using machine-learning processes

Номер патента: US11762753B2. Автор: Brian Scott Bradke,Bradford R. EVERMAN. Владелец: Gmeci LLC. Дата публикации: 2023-09-19.

Dynamic analysis and monitoring of machine learning processes

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Preservation of causal information for machine learning

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Identifying data of interest using machine learning

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Identifying data of interest using machine learning

Номер патента: US11714968B2. Автор: Sandeep Bose,Ravi Batra,Ravi Varma,Vinod Yadav,Suraj Madnani,Ravneet Ghuman,Mario Fragoso,Madhu Sudan Reddy Gudur,Curtis T. Merryweather. Владелец: American Express Travel Related Services Co Inc. Дата публикации: 2023-08-01.

Identifying data of interest using machine learning

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Inverse lithography and machine learning for mask synthesis

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System to track and measure machine learning model efficacy

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Automatic generation of ground truth data for training or retraining machine learning models

Номер патента: US20220156520A1. Автор: Eric Todd Brower. Владелец: Nvidia Corp. Дата публикации: 2022-05-19.

Learning embedded representation of a correlation matrix to a network with machine learning

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Use of Machine Learning to Identify Topical Arguments

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Chain schedule management for machine learning model-based processing in computing environment

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Techniques for training a machine learning model to modify portions of shapes when generating designs for three-dimensional objects

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Machine-learned movement determination based on intent identification

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System and method for autonomous learning of contents using a machine learning algorithm

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System and method for training a machine learning model based on user-selected factors

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System and method for training a machine learning model based on user-selected factors

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Obfuscating inference operations of a machine learning model

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Machine Learning Methods and Systems for Variety Profile Index Crop Characterization

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Reprojection method for generating reprojected image data, xr projection system, and machine-learning module

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Detecting out-of-distribution data sample in a machine learning operation

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Method For Dynamically Reconfiguring Machine Learning Models

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Machine-learned movement determination based on intent identification

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Computer-based visualization of machine-learning models and behavior

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Detecting out-of-distribution data sample in a machine learning operation

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System and method for ensuring that the results of machine learning models can be audited

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Detection of archaeological survey sites through geospatial images using machine learning algorithms

Номер патента: AU2021101464A4. Автор: Saurabh Sharma,Pooja .,Dinesh Sheshrao Kharate,Mangesh Sheshrao Kharate,Gabriel A. Ogunmola,S. Prabaharan,Bhavik U. Swadia. Владелец: Pooja Dr. Дата публикации: 2021-05-13.

Machine learning model deployment, management and monitoring at scale

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Human understandable online machine learning system

Номер патента: US12099909B2. Автор: Tanju Cataltepe. Владелец: Tazi Ai Systems Inc. Дата публикации: 2024-09-24.

Machine learning systems for automated database element processing and prediction output generation

Номер патента: US12125067B1. Автор: David J. Fogarty,Robert E. Chudzik,Yogendra D. Bhosrekar,Stephanie C. Swain,Man Tat Lam,Man Hin Wong,Margaret A. Shaw,Yee Wah Eva Lee,Sourav Maharana. Владелец: Cigna Intellectual Property Inc. Дата публикации: 2024-10-22.

Machine-learning program, method, and apparatus for measuring, by pore electric resistance method, transient change in ion current associated with passage of to-be-measured particles through pores and for analyzing pulse waveform of said transient change

Номер патента: EP3951372A1. Автор: Norihiko NAONO. Владелец: Aipore Inc. Дата публикации: 2022-02-09.

Machine learning methods and systems for variety profile index crop characterization

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Machine Learning Process Detection

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Machine learning for improving quality of voice biometrics

Номер патента: US12131740B2. Автор: June Wu,Bozhao Tan,Isabelle Alice Yvonne Moulinier,David Almquist. Владелец: Capital One Services LLC. Дата публикации: 2024-10-29.

Identifying patterns by applying a machine learning algorithm to the automation of complex processes

Номер патента: GB2604406A. Автор: Botha Tielman,Botha Dawid. Владелец: Audet Magna Ltd. Дата публикации: 2022-09-07.

Machine learning systems and methods for document recognition and analytics

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Analytic techniques for improved super tiling machine learning processing

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Method and system for overcoming tagging shortage for machine learning purposes

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AMD-Data Analysis:ACADEMY DATA ANALYSIS USING MACHINE LEARNING, DEEP LEARNING PROGRAMMING

Номер патента: AU2020102379A4. Автор: S. B. Chordiya,Rupesh Kumar Jindal,Rakesh Kumar ER,Iqbal, MD.,Santosh Dilipkumar Parakh,Chukka Santhaiah,Ashendra Kumar Saxena,Rambabu Vatti. Владелец: Vatti Rambabu Dr. Дата публикации: 2020-11-05.

System, user interface and method for interactive negative explanation of machine learning localization models in health care applications

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Machine learning computer system architecture

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

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De-noising using multiple threshold-expert machine learning models

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Dynamic gradient deception against adversarial examples in machine learning models

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Anomaly and fraud detection with fake event detection using machine learning

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System using artificial intelligence and machine learning to determine an impact of an innovation associated with an enterprise

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Machine Learning for Production Prediction

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Apparatus and method for generating training data for a machine learning system

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Assessing accuracy of a machine learning model

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Machine learning design for long-term reliability and stress testing

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Counterfactual samples for maintaining consistency between machine learning models

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Method, apparatus, and computer program product for identifying and compensating content contributors

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Meta-learning for automated health scoring

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Deep learning for modeling disease progression

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Machine learning algorithm for predicting events using multiple disparate inputs

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Classification of medical images using machine learning to account for body orientation

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Classification of medical images using machine learning to account for body orientation

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Methods, systems, and computer readable media for utilizing machine learning for merging duplicate data records

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

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Table column identification using machine learning

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Deep learning for generating intermediate orthodontic aligner stages

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Machine learning device

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Machine learning optimization for fraud detection

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Machine learning assisted workflow planner and job evaluator with learning and micro accreditation pathways

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Power graph convolutional network for explainable machine learning

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Detecting code anomalies in source code using machine learning techniques

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

Номер патента: AU2021343372B2. Автор: Richard B. Jones. Владелец: Hartford Steam Boiler Inspection and Insurance Co. Дата публикации: 2024-09-26.

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