In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...
Örebro researchers Rajesh Patil and Professor Magnus Löfstrand have developed an AI system that detects welding defects, ...
The core idea of LCQHNN is to center on quantum feature amplification (Quantum Feature Amplification) while combining a classical stability optimization strategy, establishing an efficient information ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
This is the Best of the Week. Voices from the Analytical Front Line: Bingchuan Wei on Chromatography in 2026 In the year 2026, chromatography is undergoing a series of advancements and challenges.
A recent analysis of a major developmental dataset reveals that children who play musical instruments over several years exhibit stronger vocabulary skills than their non-musical peers. The findings ...
Wearable technology could transform injury detection in workplaces, but researchers highlight the current limits of ...
Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...