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, ...
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 ...
Abstract: Asthma, a prevalent chronic respiratory condition, poses significant challenges to public health worldwide. Accurate and early prediction of asthma risk can greatly aid healthcare ...
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 ...
Taki Allen, 16 years old, was doing what many teenagers do. He was hanging out after football practice at Kenwood High School ...
Traditional breeding and genetic modification methods have struggled to keep pace with the rapid evolution of plant viruses. CRISPR/Cas systems, originally derived from bacterial immune responses, ...
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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