Alzheimer’s disease touches millions of families across the United States and remains the most common neurodegenerative ...

Agenda-driven opinion mills, designed more to sway public opinion than serve the public, might be harder to spot if AI is used to make them sound more original and rational. So the race is on to stay ...

Despite the excitement surrounding generative AI, the data shows that scientific research is still powered primarily by ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

In the realm of complex industrial fault diagnosis, convolutional neural network (CNN) have been widely adopted owing to their powerful feature extraction capabilities. Nevertheless, conventional ...

Traditional financial distress prediction relies heavily on backward-looking financial indicators such as leverage, liquidity ...

Abstract: The integration of nonlinear loads and distributed energy resources in microgrids (MG) has increased the levels of harmonic distortions in distribution feeders. Identifying the ...

Genetic Algorithm, Curve Fitting, Reinforcement Learning, Iteration Value, Iteration Policy, FrozenLake-v1 Environment, Q-Learning, Hidden Markov Models, ML, Linear ...

1 Bioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, Corfu, Greece 2 Institute of Digital Biomedicine, Ionian University Research and Innovation ...