IEEE

Deep Learning and Neural Networks for Predictive Banking: An Analysis of Algorithm Implementation

Abstract: Deep knowledge of neural networks is a powerful tool that has revolutionized the sphere of predictive banking. Those strategies are used to research big and complex monetary facts units to ...
IEEE

Quantum Stress Monitoring: Wearable In-Ear EEG Powered by Hybrid Quantum-Classical Convolutional Neural Networks

Abstract: This study presents an innovative framework for remote stress monitoring that integrates in-ear electroencephalography (EEG), hybrid quantum-classical convolutional neural networks (QC-CNNs) ...
Digi Times

EU tightens carbon rules for hybrids, forcing automakers into EV pivot

Europe's plug-in hybrid electric vehicle (PHEV) market is bracing for significant disruption as the European Union prepares to tighten carbon emissions calculations beginning in early 2025, with full ...
C&EN

Enhanced Prediction of Absorption and Emission Wavelengths of Organic Compounds through Hybrid Graph Neural Network Architectures

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Despite these advancements, predicting absorption and emission ...
C&EN

NN-VRCTST: Neural Network Potentials Meet Variable Reaction Coordinate Transition State Theory for the Rate Constant Determination of Barrierless Reactions

MOX, Modeling and Scientific Computing, Dipartimento di Matematica, Politecnico di Milano, 20133 Milano, Italy ...