搜索结果: 1-6 共查到“生物医学工程 Neural Networks”相关记录6条 . 查询时间(0.156 秒)
医学部汪天富、雷柏英教授团队在《IEEE Transactions on Neural Networks and Learning Systems》上发表文章（图）
雷柏英教授 生物医学工程 深圳大学医学部
font style='font-size:12px;'>
2023/10/23
近期，深圳大学医学部生物医学工程学院汪天富、雷柏英教授团队的研究成果《MHW-GAN: Multi-discriminator Hierarchical Wavelet Generative Adversarial Network for Multi-modal Image Fusion》在顶级期刊IEEE Transactions on Neural Networks and Learning ...
深圳大学医学部汪天富教授团队在《IEEE Transactions on Neural Networks and Learning Systems》上发表系列重要文章（图）
生物医学工程 汪天富教授 深圳大学医学部
font style='font-size:12px;'>
2023/10/23
近日，医学部生物医学工程学院汪天富教授团队在人工智能领域顶级国际期刊《IEEE Transactions on Neural Networks and Learning Systems》（中科院大类一区，TOP期刊，IF:14.255）上发表了系列研究成果。
深圳大学医学部汪天富教授在《IEEE Transactions on Neural Networks and Learning Systems》上发表文章（图）
汪天富教授 深圳大学医学部 人工智能
font style='font-size:12px;'>
2023/10/25
近日，深圳大学医学部生物医学工程学院汪天富教授团队的研究成果《Parameter-Free Loss for Class-Imbalanced Deep Learning in Image Classification》在人工智能领域顶级期刊IEEE Transactions on Neural Networks and Learning Systems（2020 IF: 10.451）上发表。该...
Improved Diagnostics Using Polarization Imaging and Artificial Neural Networks
Diagnostics Polarization Imaging Artificial Neural Networks
font style='font-size:12px;'>
2009/9/7
In recent years, there has been an increasing interest in studying the propagation of polarized light in biological cells and tissues. This paper presents a novel approach to cell or tissue imaging us...
Facial expression (mood) recognition from facial images using committee neural networks
Facial expression facial images committee neural networks
font style='font-size:12px;'>
2010/2/25
The system correctly identified the correct facial expression in 255 of the 282 images (90.43% of the cases), from 62 subjects not used in training or in initial testing. Committee neural networks off...
A Study on a Recognition Method for Specific Motions by Processing Outputs of Artificial Neural Networks with Different Input Signals
control command artificial neural network motion recognition motor paralysis
font style='font-size:12px;'>
2009/6/9
This paper studies improvement of the clinical practicality of the control command input method for motor disabled patients using the recognition of specific motions via an artificial neural network (...