Abstract: This article is concerned with a two-step event-driven in reinforcement learning model-free predictive control problem leveraging online approximators for power converter systems, in which ...

The construction industry is in the midst of a profound transformation. Traditionally slow to digitize, it is now embracing artificial intelligence (AI) across every stage, from early design to ...

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Abstract: The flux controllable permanent magnet (FC-PM) machines, which feature excellent flux regulation and high efficiency with a wide speed range, have been proposed recently. Yet, due to the ...

ABSTRACT: The stock market faces persistent challenges, including inefficiencies, volatility, and barriers to entry, which hinder its accessibility and reliability for investors. This paper explores ...

What is predictive maintenance (PdM)? It’s the application of instrumentation and intelligence to help determine the condition of equipment and whether maintenance should be performed to avoid ...

Introduction: This work utilizes predictive modeling in drug discovery to unravel potential candidate genes from Escherichia coli that are implicated in antimicrobial resistance; we subsequently ...

The quest for efficiency and speed remains vital in software development. Every saved byte and optimized millisecond can significantly enhance user experience and operational efficiency. As artificial ...