Abstract: Partial discharge (PD) is a phenomenon often occurring in insulation system defects (cavities), which can significantly affect lifetime and reliability of power electronics components and ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Waste characterizations provide a great opportunity to learn first-(gloved)hand about the waste cycle and related issues on campus. Our purpose is to characterize the waste that we are sending to the ...

The impacts of social media algorithms are manifold: Algorithmically powered newsfeeds on social media threaten to destabilize countries and governments around the world, deeply impact mental health, ...

Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...

Forensic experts are urging investigators to take a closer look at the disturbing family dynamics inside the Ohio "House of Horrors" as new questions emerge about the alleged abuse that left 16 ...

ESA's Euclid telescope identified 12 quasars from the universe's first 770 million years — more than the previous decade of ...

Your institution does not have access to this book on JSTOR. Try searching on JSTOR for other items related to this book. INTRODUCTION: Using an App to Go to Work ...

Your institution does not have access to this book on JSTOR. Try searching on JSTOR for other items related to this book. https://www.jstor.org/stable/j.ctt13x0hch.3 ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...