Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...

Overview Books provide a deeper understanding of AI concepts beyond running code or tutorials.Hands-on examples and practical ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

It started with an innocent mistake. Texas entrepreneur Chris Bentley had founded a company to buy drilling rights for oil and gas. He realized that a batch of letters he’d sent to landowners, ...

Abstract: Sea turtles are endemic to several islands and are crucial in maintaining ecosystem balance. However, they face significant threats from poaching, extreme weather conditions, and abnormal ...

Abstract: Deep neural networks (DNNs) have been applied to address electromagnetic inverse scattering problems (ISPs) and shown superior imaging performances, which can be affected by the training ...

1 Anhui Normal University, Wuhu, China 2 Nanjing Normal University Key Laboratory of Virtual Geographic Environment Ministry of Education, Nanjing, China Emotion has significant spatio-temporal ...

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

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