Aclara Wins UN Global Compact Award for Its Contribution to Local Employment and Suppliers

TORONTO, ON / ACCESS Newswire / December 17, 2025 / Aclara Resources Inc. ("Aclara" or "Company") (TSX:ARA) is pleased to announce that it has won third place from the United Nations ("UN") Global ...
EurekAlert!

Improving sound event detection through enhanced feature extraction and attention mechanisms

The research team introduced an enhanced SED method based on semi-supervised learning (SSL), incorporating Enhanced Feature Extraction and Attention Mechanisms (EFAM) to improve the model’s ability to ...
Frontiers

Optimized encoder-based transformers for improved local and global integration in railway image classification

Railway image classification (RIC) represents a critical application in railway infrastructure monitoring, involving the analysis of hyperspectral datasets with complex spatial-spectral relationships ...
C&EN

METFAN: Multisource Enhanced Therapeutic Peptide Function Prediction via Adapter Network

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. With advances in protein engineering and multiomics ...
The New York Times

How Big Tech’s Unchecked Power Could Swallow Us All

Tim Wu’s “The Age of Extraction” is a dispiriting guide to the way Silicon Valley has warped our markets and our democracy. By Jennifer Szalai When you purchase an independently reviewed book through ...
Frontiers

Grading for grapevine downy mildew and feature extraction methods for predicting abaxial lesions from adaxial leaf images

Grading grapevine downy mildew severity is essential for the precise application of pesticides. Since typical symptoms appear on the abaxial (underside) surface of grape leaves, and lesion area ...
IEEE

MUDIFEI: Multi-dimensional Feature Extraction and Interaction Model for Human Transition Action Recognition based on Sensor Data

Abstract: Currently, the recognition of human transition actions based on sensor data faces numerous challenges, including difficulties in feature extraction due to the complexity of transition action ...
IEEE

GU-Net3+: A Global-Local Feature Fusion Algorithm for Building Extraction in Remote Sensing Images

Abstract: In remote sensing image building extraction, image regions with similar textures or colors often cause false positives and false negatives in building-detection. Global features can help the ...