Screening autism spectrum disorder in children using machine learning on speech transcripts
Predictive performanceTo evaluate our models, we applied 5-fold stratified cross-validation on two datasets from ASD TalkBank. The Nadig dataset had...
Learning methods
Federated multi scale vision transformer with adaptive client aggregation for industrial defect detection
The proposed Federated Multi-Scale Vision Transformer with Adaptive Client Aggregation (Fed-MSVT) is a novel federated learning-based defect detection framework for...
An interpretable hybrid deep learning framework for gastric cancer diagnosis using histopathological imaging
The proposed methodology is a five-stage pipeline that performs accurate and interpretable classification of gastric cancer from histopathological images. The...
Enhanced multi objective graph learning approach for optimizing traffic speed prediction on spatial and temporal features
Experimental setupThe system specifications for this experiment include a hardware configuration of Intel Core i7-9700 K or AMD Ryzen 9 5900X...
Video analysis of tree sway offers non-invasive method to monitor forest health
Dom Ciruzzi, a William & Mary professor in the geology department, researches the swaying of trees. One of the tools...
Frequency-based Quantum Deep Learning Models Capture Opinion Shifts In Deliberative Discourse And Predict Outcomes
Understanding how opinions evolve during discussion is central to effective decision-making, and now, researchers are applying advanced computational techniques to...
