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of 21 700
pro vyhledávání: '"P. Rangarajan"'
Autor:
Katz, J. I.
Mente, O'Donnell, Rangarajan, et al. ignore a possible source of bias that may invalidate their finding of an anticorrelation between sodium intake and cardiovascular events
Comment: 2 pp
Comment: 2 pp
Externí odkaz:
http://arxiv.org/abs/1606.06594
Over the past two decades, the Web Ontology Language (OWL) has been instrumental in advancing the development of ontologies and knowledge graphs, providing a structured framework that enhances the semantic integration of data. However, the reliabilit
Externí odkaz:
http://arxiv.org/abs/2412.08739
Uncertainty quantification is crucial in time series prediction, and quantile regression offers a valuable mechanism for uncertainty quantification which is useful for extreme value forecasting. Although deep learning models have been prominent in mu
Externí odkaz:
http://arxiv.org/abs/2411.15674
Designing a cognitive radar system capable of adapting its parameters is challenging, particularly when tasked with tracking a ballistic missile throughout its entire flight. In this work, we focus on proposing adaptive algorithms that select wavefor
Externí odkaz:
http://arxiv.org/abs/2410.10591
Akademický článek
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Publikováno v:
Cancer Research, Statistics, and Treatment, Vol 6, Iss 3, Pp 468-469 (2023)
Externí odkaz:
https://doaj.org/article/63f0b2f11f7b4037b1c3da3bb05f9cac
Differential Dynamic Programming (DDP) is one of the indirect methods for solving an optimal control problem. Several extensions to DDP have been proposed to add stagewise state and control constraints, which can mainly be classified as augmented lag
Externí odkaz:
http://arxiv.org/abs/2409.12048
Scientific applications in fields such as high energy physics, computational fluid dynamics, and climate science generate vast amounts of data at high velocities. This exponential growth in data production is surpassing the advancements in computing
Externí odkaz:
http://arxiv.org/abs/2409.05357
Autor:
Bjorndahl, William, Easton, Jack, Modoff, Austin, Larson, Eric C., Camp, Joseph, Rangarajan, Prasanna
Spiking neural networks (SNNs) are the third generation of neural networks that are biologically inspired to process data in a fashion that emulates the exchange of signals in the brain. Within the Computer Vision community SNNs have garnered signifi
Externí odkaz:
http://arxiv.org/abs/2409.00552
Autor:
Fleischer, Jacques P., Pallack, Ryan, Mishra, Ahan, de Andrade, Gustavo Riente, Poddar, Subhadipto, Posadas, Emmanuel, Schenck, Robert, Banerjee, Tania, Rangarajan, Anand, Ranka, Sanjay
This paper utilizes video analytics to study pedestrian and vehicle traffic behavior, focusing on analyzing traffic patterns during football gamedays. The University of Florida (UF) hosts six to seven home football games on Saturdays during the colle
Externí odkaz:
http://arxiv.org/abs/2408.02146