Engineers are in the early stages of harnessing Wi-Fi as a way to monitor heart rates, but don't expect to use your home ...

A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...

Abstract: This paper provides an updated overview of recent literature on stock market prediction using machine learning methods. Neural network-based models, particularly those focused on predicting ...

Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Recent developments in computational chemistry facilitate the automated quantum ...

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...

In this tutorial, we explore the design and implementation of an Advanced Neural Agent that combines classical neural network techniques with modern stability improvements. We build the network using ...

This valuable study asks how the neural representation of individual finger movements changes during the early periods of sequence learning. By combining a new method for extracting features from ...

Abstract: This paper presents a novel network slice-enabled federated learning framework for collaborative traffic perception in vehicular edge computing environments. The proposed approach integrates ...

Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...