IEEE

LCTNet: Lightweight Convolution-Transformer Network for Hyperspectral Image Classification

Abstract: Deep learning models, especially hybrid models combining convolutional neural networks (CNN) and Transformer, introduce new ideas for hyperspectral image (HSI) classification. However, the ...
eLife

New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
IEEE

A New Multiscale Superpixel Mamba for Hyperspectral Image Classification

Abstract: State-space models (SSMs), particularly the Mamba model, have recently garnered significant attention in hyperspectral image (HSI) classification tasks due to their capability to model ...
Journal of Medical Internet Research

Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine Learning Techniques: Systematic Review

The risk of bias was evaluated using the Quality In Prognosis Studies tool and the Prediction model Risk Of Bias Assessment Tool by 2 investigators (MMS and MAS) independently. A narrative synthesis ...