Abstract: In adversarial environments, unmanned aerial vehicle (UAV) swarms often face challenges such as node failures, battle damage, and strong electromagnetic interference, which may result in ...
For decades, artificial intelligence advanced in careful, mostly linear steps. Researchers built models. Engineers improved performance. Organizations deployed systems to automate specific tasks. Each ...
Abstract: This paper studies the control-oriented recursive identification of finite impulse response systems with binary-valued observations. Inspired by the Maximum Likelihood method, a novel ...
What would you like to Propose? I propose adding flowcharts for selected algorithms to make it easier for beginners to understand the logic visually. Flowcharts will complement the existing code ...
Introduction: Heart disease remains a complex and critical health issue, necessitating accurate and timely detection methods. Methods: In this research, we present an advanced machine learning system ...
David Beer does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...
Dynamic programming is a method frequently applied to optimization problems, problems where we are looking for the best solution to a problem. A famous example of an optimization problem is the ...
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