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

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

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 ...

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

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 ...