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We shall discuss various Barron type spaces arising from neural networks. The relations among these spaces will be clarified, and we shall also establish the relationship between Barron type spaces an...
The focus of this talk is on the numerical methods used to identify parameters in partial differential equations. Typically, an optimization approach is used to solve this class of inverse problems, w...
With the advantages of fast calculating speed and high precision, the physics-informed neural network method opens up a new approach for numerically solving nonlinear partial differential equations. B...
Artificial intelligence and machine learning have become crucial tools for medical imaging, autonomous vehicles and many other applications, but engineers warn that the exponential increase in compute...
Graphs -- data structures that show relationships among objects -- are highly versatile. It's easy to imagine a graph depicting a social media network's web of connections.But graphs are also used in ...
山东大学计算机网络课件 Network Security。
山东大学计算机网络课件 Network Layer
The number of distributed Photovoltaic (PV) plants that produce electricity has been significantly increased, and issue of monitoring and maintaining a PV plant has become of great importance and invo...
近日,中国地质大学自动化学院复杂系统先进控制与智能自动化湖北省重点实验室情感计算团队,有关“基于深度学习的情感识别与理解”研究成果发表在计算智能领域国际重要期刊《Information Sciences》上。该文第一作者为自动化学院陈略峰老师,通讯作者为自动化学院吴敏教授。
The National Science Foundation (NSF) has long been a leader in supporting research that has formed the basis for smart and connected communities, pushing sensor and networking capabilities beyond tod...
By analyzing network traffic going to suspicious domains, security administrators could detect malware infections weeks or even months before they're able to capture a sample of the invading malware, ...
Deep convolutional neural networks have dramatically changed the landscape of the modern computer vision. Nowadays methods based on deep neural networks show the best performance among image recogniti...
Known scene geometry and camera calibration parameters give important information to video content analysis systems. In this paper, we propose a novel method for camera pose estimation based on people...

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