Abstract: The subentire-domain (SED) basis functions method is the most effective method for analyzing the electromagnetic (EM) properties of large-scale finite periodic structures (LFPSs). Recently, ...
Blood oxygen level-dependent functional magnetic resonance imaging (BOLD-fMRI) is a cornerstone of non-invasive brain function investigation, yet its ...
Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Scientists at TU Delft, the Netherlands, have developed a new algorithm that allows multiple autonomous drones to work ...
According to the authors, this evolution marks a clear transition from traditional rule-based security toward data-driven, ...
The researchers identify critical limitations that restrict the full realization of AI’s potential in mine safety. A major ...
Abstract: Electrical impedance tomography (EIT) has garnered increasing attention in recent years, across different domains, as a promising alternative to traditional imaging techniques like X-rays ...
Abstract: This study aims to compare the performance of two classification methods—Support Vector Machine (SVM) and Convolutional Neural Network (CNN)—in identifying music genres based on audio data ...
In a groundbreaking development at the intersection of artificial intelligence (AI) and medicine, Tobi Titus Oyekanmi, a ...
Abstract: The efficient management of electric vehicle (EV) charging infrastructure is critical to meeting the growing demand for sustainable transportation. This study addresses the Electric Vehicle ...
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