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基于卷积神经网络的机场工作单信息识别方法及系统

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Рисунок 1. Взаимосвязь патентов (ближайшие 20).

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Method and system for zero-shot cross domain video anomaly detection

Номер патента: WO2023166800A1. Автор: Kuan-Chuan Peng,Abhishek Aich. Владелец: Mitsubishi Electric Corporation. Дата публикации: 2023-09-07.

Face emotion recognition method based on dual-stream convolutional neural network

Номер патента: US11010600B2. Автор: Linbo Qing,Songfan Yang,Xiaohai He,Qizhi Teng. Владелец: Sichuan University. Дата публикации: 2021-05-18.

Method and device for recognizing words based on convolutional neural network

Номер патента: CN110378342B. Автор: 张韵东,刘小涛,黄发亮. Владелец: Vimicro Corp. Дата публикации: 2023-04-28.

A kind of natural scene character detecting method based on attention mechanism convolutional neural networks

Номер патента: CN109165697A. Автор: 罗洁,柯逍. Владелец: FUZHOU UNIVERSITY. Дата публикации: 2019-01-08.

Method and apparatus for recognizing object based on vocabulary tree

Номер патента: US20180349739A1. Автор: Seung-chan Kim,Sunghoon Hong,Huijin Lee. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2018-12-06.

Lane line detection segmentation method based on attention space convolution neural network

Номер патента: CN112633177A. Автор: 梁军,侯亮,刘飞虎,詹吟霄,彭嘉恒. Владелец: Zhejiang University ZJU. Дата публикации: 2021-04-09.

Brain tumor image segmentation algorithm based on improved full convolutional neural networks

Номер патента: CN108898140A. Автор: 关欣,邢波涛,李锵. Владелец: TIANJIN UNIVERSITY. Дата публикации: 2018-11-27.

Object detection method based on depth layer convolutional neural networks

Номер патента: CN109241982A. Автор: 张灿龙,李志欣,何东城,程庆贺. Владелец: Guangxi Normal University. Дата публикации: 2019-01-18.

Night vehicle detection method based on improved YOLOv3 convolutional neural network

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Object recogntion based on boosting binary convolutional neural network features

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Partition landslide detection system and method based on cascade deep convolutional neural network

Номер патента: CN111898419A. Автор: 苑超,许领,张静逸,雷捷扬. Владелец: Xian Jiaotong University. Дата публикации: 2020-11-06.

Method and system for semantic segmentation involving multi-task convolutional neural network

Номер патента: EP3698286A1. Автор: Xu Xun,Bao Ruxiao. Владелец: Didi Research America LLC. Дата публикации: 2020-08-26.

Method and system for performing object detection using a convolutional neural network

Номер патента: CA3112265A1. Автор: Yin Wang. Владелец: Avigilon Corp. Дата публикации: 2020-03-26.

Information processing device and method, and recording medium for determining a variable data type for a neural network

Номер патента: US11809995B2. Автор: Yasufumi Sakai. Владелец: Fujitsu Ltd. Дата публикации: 2023-11-07.

Method and apparatus for processing image based on neural network

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Methods and systems for implementing a convolution transpose layer of a neural network

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Method and apparatus for improving model based on pre-trained semantic model

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Method and apparatus for tagging text based on teacher forcing

Номер патента: US20200380209A1. Автор: Jinfeng Li,Zijian CAI. Владелец: Wangsu Science and Technology Co Ltd. Дата публикации: 2020-12-03.

Efficient neural networks

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Method and system for optimizing memory requirement for training an artificial neural network model

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Method and apparatus for computation on convolutional layer of neural network

Номер патента: US20230385370A1. Автор: Chieh-Cheng Chen,Po-Wei Chen. Владелец: NOVATEK MICROELECTRONICS CORP. Дата публикации: 2023-11-30.

Method and apparatus for processing image based on neural network

Номер патента: US20240144640A1. Автор: JEONG Won Ha,Dong Keun Han,Jong Ok Kim. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2024-05-02.

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Method and apparatus with image processing based on a neural network

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Method, device and system to generate a bayesian inference with a spiking neural network

Номер патента: US20200342321A1. Автор: Narayan Srinivasa,Arnab Paul. Владелец: Intel Corp. Дата публикации: 2020-10-29.

Method, device and system to generate a bayesian inference with a spiking neural network

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Method and apparatus for recognizing user based on on-device training

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Method and system for securely storing data for use with artificial neural networks

Номер патента: US20230114002A1. Автор: Alexander Calhoun Flint. Владелец: Individual. Дата публикации: 2023-04-13.

Method and apparatus for generating design based on learned condition

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Method and apparatus for generating design based on learned condition

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Method and device for image classification based on improved stochastic gradient descent

Номер патента: LU500916B1. Автор: Qiang Wang. Владелец: Univ Shandong. Дата публикации: 2022-05-27.

Methods, controllers and systems for the control of distribution systems using a neural network architecture

Номер патента: WO2017114810A9. Автор: Bert Claessens,Peter VRANCX. Владелец: VITO NV. Дата публикации: 2018-10-04.

Method and apparatus for recognizing user based on on-device training

Номер патента: US11900246B2. Автор: JaeJoon HAN,Dohwan LEE,Kyuhong Kim. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2024-02-13.

Method and apparatus for recognizing user based on on-device training

Номер патента: US20240135177A1. Автор: JaeJoon HAN,Dohwan LEE,Kyuhong Kim. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2024-04-25.

Method and device of registering face based on video data, and electronic whiteboard

Номер патента: US11908235B2. Автор: Jingtao XU. Владелец: BOE Technology Group Co Ltd. Дата публикации: 2024-02-20.

Method and device for selecting keyframe based on motion state

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Traffic sign identification method and device based on two-channel convolutional neural network

Номер патента: CN109086753B. Автор: 张猛,刘凤,钱育蓉,赵京霞. Владелец: Xinjiang University. Дата публикации: 2022-05-10.

Object recognition based on boosting binary convolutional neural network features

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Facial expression recognition method based on cost-sensitive convolutional neural network

Номер патента: CN108846380B. Автор: 李慧芳,袁艳,石峰娟. Владелец: Beijing Institute of Technology BIT. Дата публикации: 2021-08-24.

A kind of face alignment method based on two-value convolutional neural networks

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Crowd density estimation method based on multi-scale convolutional neural network

Номер патента: CN110020606B. Автор: 王素玉,杨滨,于晨,姬庆庆,付宇豪. Владелец: BEIJING UNIVERSITY OF TECHNOLOGY. Дата публикации: 2021-03-30.

Multiclass leucocyte automatic identifying method based on deep layer convolutional neural networks

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A kind of face mask method based on sparse full convolutional neural networks

Номер патента: CN107729819A. Автор: 董明辉,温世平. Владелец: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY. Дата публикации: 2018-02-23.

Neural network architecture for face tracking

Номер патента: US11803996B2. Автор: Chao Wang,Linjie LUO,Wanchun MA,Shuo Cheng,Michael Leong Hou TAY. Владелец: Lemon Inc USA. Дата публикации: 2023-10-31.

Neural network architecture for face tracking

Номер патента: WO2023009060A1. Автор: Chao Wang,Linjie LUO,Wanchun MA,Shuo Cheng,Michael Leong Hou TAY. Владелец: Lemon Inc.. Дата публикации: 2023-02-02.

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Method and apparatus for processing image based on partial images

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Method and systems for medical image processing using a convolutional neural network (cnn)

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Processor and system to identify out-of-distribution input data in neural networks

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Method and circuits to virtually increase the number of prototypes in artificial neural networks

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Image recognition processing method and apparatus

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Communication method, apparatus and system

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Training and/or using neural network models to generate intermediary output of a spectral image

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Systems and methods for interpreting a natural language search query using a neural network

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Model distillation training method and related apparatus, device, and readable storage medium

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Neural network-based deblocking filters

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