Backpropagation Network‐Based Contrastive Learning for Unsupervised Domain Adaptation
Unsupervised domain adaptation for contractive learning. ABSTRACT This study introduces a new method for domain adaptation for image classification tasks that aims to improve the model's performance on a target domain after being trained on a source domain.
Yushui Xiao, Yong Huang, Yujie Li
wiley +1 more source
Light-XAI: a CADx for explainable cervical cancer detection via attention-based lightweight convolutional neural networks and layer-wise feature fusion. [PDF]
Attallah O.
europepmc +1 more source
This systematic review traces the evolution of protein function prediction from experimental methods through homology‐based tools, ML and DL to XAI. While deep learning models achieve state‐of‐the‐art predictive accuracy, their black‐box nature limits biological insight and clinical trust.
Aastha Katiyar, Rashmi Yadav
wiley +1 more source
Machine Learning-Driven Prediction and Mechanistic Insight into CO <b><sub>2</sub></b> Adsorption on Biomass-Derived Activated Carbons Using Explainable AI (XAI). [PDF]
Ali DA.
europepmc +1 more source
Optimizing Deep Neural Models for Early Dyslexia Detection Using Novel Bilingual Handwritten Dataset
Here we present the initial case of a novel bilingual (Urdu–English) handwritten dataset along with a deep learning framework for dyslexia detection. MobileNet3 with RMSProp achieves the highest accuracy in dyslexic handwriting detection and demonstrates a promising approach for diagnostic handwriting screening in low‐resource multilingual classrooms ...
Muhammad Kashif +5 more
wiley +1 more source
On the prediction models for brain signal-based emotion recognition. [PDF]
Margaret MJ +3 more
europepmc +1 more source
RUL Prediction of Rolling Bearings via Adaptive Multi‐Scale Feature Alignment and Semantic Fusion
An adaptive multi‐scale framework integrates denoising, feature fusion, and degradation‐stage‐driven alignment to suppress noise, capture local–global degradation patterns, and enable robust and accurate remaining useful life prediction. ABSTRACT Remaining useful life (RUL) prediction of rolling bearings is essential for intelligent maintenance and ...
Yuanyuan Wu, Ning Li
wiley +1 more source
Generating explainable hypotheses for drug repurposing with graph neural networks. [PDF]
Perdomo-Quinteiro P +2 more
europepmc +1 more source
This review elucidates the mechanistic pathways governing color and texture degradation in frozen tropical vegetables, emphasizing pigment oxidation, enzymatic softening, and ice crystal‐induced structural damage. It integrates kinetic, Arrhenius, RSM, and machine‐learning models with advanced preservation strategies to optimize freezing processes ...
Muhammad Muntasir Mahmud +4 more
wiley +1 more source
An intelligent healthcare framework for hepatocellular carcinoma diagnosis based on aggregated learners from biomedical data utilising explainable artificial intelligence. [PDF]
Alqaralleh BAY +3 more
europepmc +1 more source

