Abstract: We consider the problem of online sparse linear approximation, where a learner sequentially predicts the best sparse linear approximations of an as yet unobserved sequence of measurements in ...

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Abstract: This paper describes Weibull data analytics in support of grid resilience as well as interpreting test and R&D results. The target was to develop a widely accessible spreadsheet IDA ...

This repository contains the C++ source code for the LinearPartition project, the first linear-time partition function and base pair probabilities calculation algorithm/software for RNA secondary ...

SiC-based converters and inverters are the optimal choice for battery-operated vehicles (BEVs), renewables, and all other applications where maximum efficiency is required. Silicon Carbide (SiC) ...

Lucas is a writer and narrative designer from Argentina with over 15 years of experience writing for games and news. He keeps a watchful eye at the gaming world and loves to write about the hottest ...

A variety of linear models are available to represent common active electronic devices such as transistors and vacuum tubes. Devices operating under large-signal conditions often require nonlinear ...

Accurately modeling nonlinear dynamical systems using observable data remains a significant challenge across various fields such as fluid dynamics, climate science, and mechanical engineering.

Transformers have fundamentally transformed the field of natural language processing, driving significant advancements across numerous applications. With their widespread success, there is a growing ...

ABSTRACT: In this paper, I study to establish general Cauchy-Jensen μj-function inequalities by relying on general Cauchy-Jensen equations with 3k-variables on complex Banach spaces. First, I ...