Tag: AlexNet

Researchers integrated AlexNet and dynamic time warping to optimize multi-sensor data fusion, achieving low-latency tracking and reduced spatial error in ...

Researchers developed a dual-branch artificial intelligence framework combining deep learning and radiomics to detect Helicobacter pylori infection from gastroscopy images.

A streamlined AlexNet deep learning model incorporating coordinate and hybrid channel-spatial attention achieved 99.62 percent accuracy in identifying tomato leaf ...

A study tested nine deep learning models on time-frequency images of EEG signals, with Mel-spectrogram features paired with AlexNet reaching ...

Researchers at Shandong University of Technology show that convolutional neural networks, especially AlexNet, can map gold prospectivity at the Jinchang ...

A hybrid deep learning framework combining AlexNet and Ant Colony Optimization significantly improves routing, delay, and energy efficiency in cloud-based ...