搜索结果: 1-15 共查到“生物医学工程 e-learning”相关记录15条 . 查询时间(0.203 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
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
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
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...
Multiple, short learning sessions strengthen memory formation in fragile X syndrome
Multiple short learning sessions strengthen memory formation fragile X syndrome
2014/12/30
Christine Gall, Gary Lynch and colleagues found that fragile X model mice trained in three short, repetitious episodes spaced one hour apart performed as well on memory tests as normal mice. These sam...
Review of "Data Mining: Practical Machine Learning Tools and Techniques" by Witten and Frank
Practical Machine Learning Tools and Techniques Witten and Frank
2010/2/26
In the early 1990s some sectors of the computer science community were developing the idea of data understanding as a discovery-driven, systematic and iterative process. This "data mining" research an...
Co-evolutionary Learning in Liquid Architectures,in Computational Intelligence and Bioinspired Systems
Co-evolutionary Learning Liquid Architectures Computational Intelligence
2010/1/7
A large class of problems requires real-time processing of complex temporal inputs in real-time. These are difficult tasks for state-of-the-art techniques, since they require capturing complex structu...
Co-evolutionary Learning in Liquid Architectures,in Computational Intelligence and Bioinspired Systems
Co-evolutionary Learning Liquid Architectures Computational Intelligence
2010/1/7
A large class of problems requires real-time processing of complex temporal inputs in real-time. These are difficult tasks for state-of-the-art techniques, since they require capturing complex structu...
Androulakis Machine learning approaches in promoter sequence analysis
Androulakis Machine learning promoter sequence analysis
2009/12/24
Gene transcription is one of the main biological processes that govern an organism's response
to external stimuli. Understanding the mechanism of gene regulation offers an avenue with
which to mode...
Classification of BMI control commands from rat's neural signals using extreme learning machine
BMI control rat's neural signals extreme learning machine
2010/2/25
A recently developed machine learning algorithm referred to as Extreme Learning Machine (ELM) was used to classify machine control commands out of time series of spike trains of ensembles of CA1 hippo...
Robust algorithm for arrhythmia classification in ECG using extreme learning machine
Robust algorithm arrhythmia classification ECG extreme learning machine
2010/2/25
The experimental results of the entire MIT-BIH arrhythmia database demonstrate that the performances of the proposed algorithm are 98.00% in terms of average sensitivity, 97.95% in terms of average sp...
An e-learning application on electrochemotherapy
An e-learning application electrochemotherapy
2010/2/25
The e-learning application we present in this article provides educational material on electrochemotherapy and its underlying principles such as cell and tissue electroporation. The e-learning applica...
Experimental Investigation of Trajectory Control for Regions of the Human Body Using a Parallel Wire-driven Mechanism and Iterative Learning Control
passive motion parallel wire driven mechanism iterative learning control region
2009/6/9
We are investigating the performance of trajectory control when passive motion is given to a region of the human body. Such passive motion given by trajectory control using a robotics device has been ...
Learning Processes and Pupillary Responses in Inverted Tracking Tasks
inverted tracking task pupil dilation sensorimotor transformation cognitive load automatization
2009/6/5
This finding suggests increasing automatization of the to-be-learned sensorimotor transformation. Pupil measures were not correlated with tracking error on individual trials, suggesting that the inver...
Influences of reduced masticatory sensory input from soft-diet feeding upon spatial memory/learning ability in mice
reduced masticatory sensory soft-diet feeding spatial memory/learning ability mice
2009/3/2
It has been reported that reduction of masticatory afferent stimulation might influence learning and memory function. In order to clarify the influences of reduced masticatory sensory input on spatial...
Review of "Data Mining: Practical Machine Learning Tools and Techniques" by Witten and Frank
Practical Machine Learning Tools and Techniques Witten and Frank
2010/2/26
In the early 1990s some sectors of the computer science community were developing the idea of data understanding as a discovery-driven, systematic and iterative process. This "data mining" research an...