Zobrazeno 1 - 10
of 305
pro vyhledávání: '"Musau, P"'
Publikováno v:
Leibniz Transactions on Embedded Systems, Vol 8, Iss 2, Pp 07:1-07:19 (2022)
Safety-critical distributed cyber-physical systems (CPSs) have been found in a wide range of applications. Notably, they have displayed a great deal of utility in intelligent transportation, where autonomous vehicles communicate and cooperate with ea
Externí odkaz:
https://doaj.org/article/99d5c5f052e8478db62de93ba9719454
In the era of climate change, the distribution of climate variables evolves with changes not limited to the mean value. Consequently, clustering algorithms based on central tendency could produce misleading results when used to summarize spatial and/
Externí odkaz:
http://arxiv.org/abs/2402.10545
Autor:
Bogomolov, Sergiy, Johnson, Taylor T., Lopez, Diego Manzanas, Musau, Patrick, Stankaitis, Paulius
Publikováno v:
EPTCS 395, 2023, pp. 95-112
This paper presents an optimisation-based approach for an obstacle avoidance problem within an autonomous vehicle racing context. Our control regime leverages online reachability analysis and sensor data to compute the maximal safe traversable region
Externí odkaz:
http://arxiv.org/abs/2311.09781
Clustering has received much attention in Statistics and Machine learning with the aim of developing statistical models and autonomous algorithms which are capable of acquiring information from raw data in order to perform exploratory analysis.Severa
Externí odkaz:
http://arxiv.org/abs/2207.11682
Continuous deep learning models, referred to as Neural Ordinary Differential Equations (Neural ODEs), have received considerable attention over the last several years. Despite their burgeoning impact, there is a lack of formal analysis techniques for
Externí odkaz:
http://arxiv.org/abs/2207.06531
Autor:
Musau, Patrick, Hamilton, Nathaniel, Lopez, Diego Manzanas, Robinette, Preston, Johnson, Taylor T.
Recent advances in machine learning technologies and sensing have paved the way for the belief that safe, accessible, and convenient autonomous vehicles may be realized in the near future. Despite tremendous advances within this context, fundamental
Externí odkaz:
http://arxiv.org/abs/2205.01419
Autor:
Julius Njogu, Claire W Rothschild, Katherine Tumlinson, Roselyn Odeh, Alhaji Bulama, Salome Chika-Igbokwe, Abednego Musau
Publikováno v:
BMJ Global Health, Vol 9, Iss 5 (2024)
Introduction Universal access to sexual and reproductive healthcare—including family planning (FP)—is a global priority, yet there is no standard outcome measure to evaluate rights-based FP programme performance at the regional, national or globa
Externí odkaz:
https://doaj.org/article/8027aca0c60d4decba6c5e3c1e1cddde
Autor:
Tran, Hoang-Dung, Yang, Xiaodong, Lopez, Diego Manzanas, Musau, Patrick, Nguyen, Luan Viet, Xiang, Weiming, Bak, Stanley, Johnson, Taylor T.
This paper presents the Neural Network Verification (NNV) software tool, a set-based verification framework for deep neural networks (DNNs) and learning-enabled cyber-physical systems (CPS). The crux of NNV is a collection of reachability algorithms
Externí odkaz:
http://arxiv.org/abs/2004.05519
Safety-critical distributed cyber-physical systems (CPSs) have been found in a wide range of applications. Notably, they have displayed a great deal of utility in intelligent transportation, where autonomous vehicles communicate and cooperate with ea
Externí odkaz:
http://arxiv.org/abs/1909.09087
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