Zobrazeno 1 - 10
of 242
pro vyhledávání: '"D, Ph."'
This paper explores a stochastic Gause predator-prey model with bounded or sub-linear functional response. The model, described by a system of stochastic differential equations, captures the influence of stochastic fluctuations on predator-prey dynam
Externí odkaz:
http://arxiv.org/abs/2409.05237
In this study, a digital twin (DT) technology based Adaptive Traffic Signal Control (ATSC) framework is presented for improving signalized intersection performance and user satisfaction. Specifically, real-time vehicle trajectory data, future traffic
Externí odkaz:
http://arxiv.org/abs/2309.16673
Industrial Control Systems (ICSs) are widely used in critical infrastructures that face various cyberattacks causing physical damage. With the increasing integration of the ICSs and information technology (IT), ensuring the security of ICSs is of par
Externí odkaz:
http://arxiv.org/abs/2304.07363
Construction technology researchers and forward-thinking companies are experimenting with collaborative robots (aka cobots), powered by artificial intelligence (AI), to explore various automation scenarios as part of the digital transformation of the
Externí odkaz:
http://arxiv.org/abs/2308.14846
Autor:
Hossain, Elias, Rana, Rajib, Higgins, Niall, Soar, Jeffrey, Barua, Prabal Datta, Pisani, Anthony R., D, Ph., Turner}, Kathryn
Background: Natural Language Processing (NLP) is widely used to extract clinical insights from Electronic Health Records (EHRs). However, the lack of annotated data, automated tools, and other challenges hinder the full utilisation of NLP for EHRs. V
Externí odkaz:
http://arxiv.org/abs/2306.12834
Autor:
Zhang, Tianya Terry, D., Ph., Jin, Peter J., McQuade, Sean T., Bayen, Alexandre, Piccoli, Benedetto
Car-following (CF) algorithms are crucial components of traffic simulations and have been integrated into many production vehicles equipped with Advanced Driving Assistance Systems (ADAS). Insights from the model of car-following behavior help us und
Externí odkaz:
http://arxiv.org/abs/2304.07143
Spatial-temporal Map (STMap)-based methods have shown great potential to process high-angle videos for vehicle trajectory reconstruction, which can meet the needs of various data-driven modeling and imitation learning applications. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2209.08417
A collision hazard measure that has the essential characteristics to provide a measurement of safety that will be useful to AV developers, traffic infrastructure developers and managers, regulators and the public is introduced here. The Streetscope C
Externí odkaz:
http://arxiv.org/abs/2205.08640
There is a growing need to deliver rehabilitation care to patients remotely. Long term demographic changes, geographic shortages of care providers, and now a global pandemic contribute to this need. Telepresence provides an option for delivering this
Externí odkaz:
http://arxiv.org/abs/2202.13433
In this paper, we propose an ensemble of deep neural networks along with data augmentation (DA) learned using effective speech-based features to recognize emotions from speech. Our ensemble model is built on three deep neural network-based models. Th
Externí odkaz:
http://arxiv.org/abs/2112.05666