Devdiscourse

Advanced Hybrid Deep Learning Model Enhances Reliability of Automobile Fraud Detection Systems

Researchers from Universiti Tun Hussein Onn Malaysia and Chettinad Institute of Technology developed a Golden Eagle-Assisted ...
IEEE

Brainai-Net: An Automated Deep Learning Approach For Tumor Detection

Abstract: This study explores the development of a deep learning-based model for the automated detection of brain tumors, aiming to improve diagnostic accuracy and efficiency compared to existing ...
IEEE

Advanced Video Anomaly Detection with Enhanced Feature Learning Using Deep Convolutional Neural Nets and Context Mining Approach

Abstract: The increasing deployment of CCTV surveillance systems necessitates intelligent anomaly detection for identifying unauthorized actions such as shoplifting, sudden sprints, and unusual object ...
Phys.org

New approach improves accuracy of quantum chemistry simulations using machine learning

A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a popular simulation approach, which is used in fundamental chemistry and materials ...
C&EN

Exploring Caffeine Extraction Using Hydrophobic Deep Eutectic Solvents: Experimental and Theoretical Approaches

Department of Chemistry and Environmental Science, São Paulo State University (UNESP), São José do Rio Preto, São Paulo 15054-000, Brazil ...
C&EN

Atomic Ordered Functionalization by Covalent and Noncovalent Interactions for Glycine Detection in Armchair Graphene Nanoribbons─A Theoretical Approach

Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, Virginia 22904, United States ...