IEEE

Hybrid 1D and 2D CNN-Transformer Architectures for Multilabel 12-Lead EKG Anomaly Detection

Abstract: This study introduces two novel hybrid machine-learning architectures for multilabel anomaly detection in electrocardiograms (EKGs): a 1D modified ResNet combined with a transformer encoder ...
C&EN

Beyond Just Bandgaps: Conductivity Determines Efficacy of 1D and 2D π-Conjugated Materials

Department of Chemistry, Department of Physics & Astronomy, and Materials Science & Engineering Program, University of California-Riverside, Riverside, California 92521, United States ...
GitHub

Fusing Sequence Motifs and Pan-Genomic Features: Antimicrobial Resistance Prediction using ...

A Sequence-Aware Custom 1D CNN: A deep, lightweight 1D Convolutional Neural Network (CNN) processes the ordered sequence of integer-encoded SNPs. Its hierarchical convolutional layers are designed to ...
IEEE

Recognition of Knee Osteoarthritis by 1D and 2D Convolutional Neural Networks Using ...

Abstract: Osteoarthritis (OA) of the knee is a leading cause of joint pain and mobility loss. Early diagnosis is crucial for effective management yet remains challenging with traditional imaging ...