Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...

Traffic classification is a crucial task for network security. One of the most difficult challenges is to accurately identify the traffic of unknown applications as well as discriminate the known ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

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Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...