Abstract: This paper introduces the Mobile Client Interface (MCI), an Android application, that grants remote access and experimentation with the Networked Control System Laboratory (NCSLab) resources ...
Abstract: The stability and reliability of power systems are essential for effective operation and design. Models and algorithms are instrumental in bolstering stability, especially using Power System ...
Abstract: Relative localization is an essential part of autonomous multiagent systems. In this study, drawing inspiration from animals that achieve collective behaviors solely through individual ...
Abstract: Offshore wind farms have emerged as a crucial component of renewable energy generation, offering higher energy production rates due to stronger and more consistent wind conditions. However, ...
The EU is threatening to take action against the social media company. It could be the start of a global reckoning. Katie is a UK-based news reporter and features writer. Officially, she is CNET's ...
Abstract: The automatic design of soft robots is an intertwined process of evolving morphology and learning control. As reinforcement learning is repeatedly used to learn the control policy for each ...
Abstract: Due to the ongoing advancements in small unmanned systems (SUSs), the field of study on detecting targets with small radar cross section (RCS) areas is constantly expanding. Due to their ...
European Union regulators said the app’s infinite scroll and personalized algorithm led to “compulsive” behavior, especially among children. By Adam Satariano Reporting from London TikTok’s endless ...
Abstract: Transformers are essential components of electrical power systems, representing a significant capital investment and requiring optimized designs to balance efficiency, cost, and performance.
Abstract: With the growing emphasis on sustainable manufacturing, green scheduling has gained prominence from practitioners and researchers in the industry manufacturing enterprises. This article ...
Abstract: In this paper, various algorithmic models such as K-means clustering, BPR model, Dijkstra algorithm, Fruchterman-Reingold algorithm, and Frank-Wolfe algorithm are proposed, focusing on the ...
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