Devdiscourse

Large language models move closer to clinical use in nutrition assessment

Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...
ET BrandEquity

Weaver, Guardian, Navigator: The Sovereign Brand Summit

Explore how ITC, Reliance, and Maersk redefine business sovereignty, promoting generational value and sustainability while ...
IEEE

Cross-Domain Coupling Network With Lightweight Fully Featured Mapping and Loop Aggregation for Semantic Segmentation of High-Resolution Remote Sensing Images

Abstract: To fully leverage contextual information for the precise segmentation of objects in remote sensing images, while addressing the challenges associated with substantial object scale variations ...
IEEE

Few-Shot Object Detection in Remote Sensing Images via Dynamic Adversarial Contrastive-Driven Semantic-Visual Fusion

Abstract: The acquisition of remote sensing images (RSIs) requires expensive equipment, such as satellites or aircraft, along with advanced sensing technologies. Additionally, the complexity of ...
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 ...