Introduction: The rapid and accurate identification of natural and non-natural seismic events is crucial for compiling comprehensive earthquake catalogs and assessing regional seismic risk. Methods: ...

ABSTRACT: Faced with the recurring collapses of residential buildings affecting the civil engineering sector in Côte d’Ivoire, this study aims to evaluate and compare the performance of 42.5R strength ...

Total Organic Carbon (TOC) is a fundamental parameter for evaluating source rock quality, yet the strong heterogeneity of the Qiongzhusi Formation shale reservoir in the Sichuan Basin severely limits ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

Abstract: Hybrid loss minimization algorithms in electrical drives combine the benefits of search-based and model-based approaches to deliver fast and robust dynamic responses. This article presents a ...

Your browser does not support the audio element. The backpropagation algorithm is the cornerstone of modern artificial intelligence. Its significance goes far beyond ...

Abstract: Direction-of-arrival (DOA) estimation is formulated within an adaptive-filtering framework that partitions the sensor array into a reference element and an auxiliary array. The ...

Joey Brown is an interview reporter, editor, and lifelong gamer with experience in nearly every genre from space sims and MMORPGs to metroidvanias and city builders. He has sat down with industry ...

The first chapter of Neural Networks, Tricks of the Trade strongly advocates the stochastic back-propagation method to train neural networks. This is in fact an instance of a more general technique ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...