Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Matthew Mohebbi"'
Publikováno v:
JMIR Mental Health, Vol 11, p e58129 (2024)
BackgroundDue to recent advances in artificial intelligence, large language models (LLMs) have emerged as a powerful tool for a variety of language-related tasks, including sentiment analysis, and summarization of provider-patient interactions. Howev
Externí odkaz:
https://doaj.org/article/249a1d728ab54d57b2d447f23d8af9d1
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2563:86-97
Ridesharing services commonly offered at airports and to mobility-impaired persons exist worldwide. Unlike operators in conventional public transit, ridesharing operators maintain flexible routes and schedules that are used in providing door-to-door
Autor:
Elaine Johanson, Adam Baker, Zhiheng Xu, Roselie A. Bright, Hans Nelsen, Jonathan G. Levine, Matthew Mohebbi, Taha A. Kass-Hout
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
Objective The objective of openFDA is to facilitate access and use of big important Food and Drug Administration public datasets by developers, researchers, and the public through harmonization of data across disparate FDA datasets provided via appli
Publikováno v:
Transportation Research Part C: Emerging Technologies. 55:156-165
This paper reports on a system developed to address the dial-a-ride problem and an implementation for Maryland where real-world practical constraints are considered in providing customized vehicle routing and scheduling for about 450 trip requests da
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2467:157-167
This paper addresses the problem of optimally routing and scheduling airport shuttle vehicles that offer pickup and drop-off services to customers through ridesharing. This problem, which is a version of the dial-a-ride problem, is formulated as a mi