IEEE

A Survey on Agricultural Precision with Deep Learning-Driven Satellite Image Analysis: A Multi-Temporal, Multi-Spectral Approach

Abstract: This survey explores the advancements in agricultural precision through deep learning-driven the research employs satellite imaging analysis which depends on multiple time-based products ...
IEEE

A RRAM-Based CIM Design With in-Situ Transposable Computing and Hybrid-Precision Scheme for Edge Learning

Abstract: Edge computing devices demand efficient transposable computing architectures to enable on-chip learning, necessitating novel hardware designs that balance performance and flexibility. We ...
Open Heart

Development and validation of a deep learning model for severe mitral stenosis detection from chest X-rays

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Oncology Nurse Advisor

Machine Learning Model Predicts Nutritional Risk in Nasopharyngeal Carcinoma

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.