Recent advances in deep learning have significantly enhanced the accuracy and robustness of underwater acoustic source localisation, a field critical for maritime surveillance, environmental ...

In a paper published on aBIOTECH, the authors developed a lightweight open-source deep learning algorithm automates wheat ...

Raw invoice images often suffer from issues such as uneven lighting, skewing, creases, and background interference. The system first employs image filtering, binarization, perspective transformation ...

Researchers from Cardiff University, Hohai University, and Spirent Communications developed a deep reinforcement learning model that integrates localization awareness into navigation decisions, ...

A research team has developed an innovative automated method, SSP-MambaNet, designed to address the challenge of identifying ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...

Original invoice images often suffer from issues such as uneven lighting, skewing, creasing, and background interference. The system first uses techniques like image filtering, binarization, and ...