In this work, we address a question that has attracted intense interest in recent years: whether machine learning-assisted algorithms can genuinely outperform classical approaches in challenging ...
Abstract: A noninvasive ultra-wide band (UWB) partial discharge technique was employed in high capacity motors diagnosis. Those motors are installed and operating in an oil pumping plant. The ...
SINGAPORE - Students are increasingly relying on artificial intelligence (AI) tutors for their daily work. Besides mainstream tools such as Google’s Gemini and OpenAI’s ChatGPT, the latest contender ...
A famous problem at the intersection of topology and combinatorial graph theory is the Utility Problem. Say you have three houses and three utilities and you need to connect each house to each utility ...
eDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK fDepartment of Psychosis Studies, Institute of Psychiatry, Psychology ...
NeighborNet constructs phylogenetic networks to visualize distance data. It is a popular method used in a wide range of applications. While several studies have investigated its mathematical features, ...
Abstract: This work establishes and validates a Grid Graph Signal Processing (G-GSP) framework for estimating the state vector of a radial distribution feeder. One of the key insights from GSP is the ...
Integrated Information Theory is one of the leading models of consciousness. It aims to describe both the quality and quantity of the conscious experience of a physical system, such as the brain, in a ...
Deciding whether two graphs are structurally identical, or isomorphic, is a classical algorithmic problem that has been studied since the early days of computing. Applications span a broad field of ...
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