Results 11 to 20 of about 412,338 (234)
Boletín de la Asociación de Geógrafos Españoles, 2023 Quienes requieren de atención sanitaria de emergencia no pueden esperar. Las ambulancias deben llegar al lugar del suceso lo más rápido posible. Las ambulancias suelen estar asignadas a bases, que se distribuyen por toda la ciudad para minimizar el ...
Onel Pérez-Fernández +1 more
doaj +3 more sources
Eficacia de la red social Twitter en la detección de casos de congestión vehicular
Revista Científica Ciencia y Tecnología, 2023 El trabajo tiene como finalidad demostrar la eficacia del uso de la red social Twitter en la detección en tiempo real de situaciones de congestión vehicular, considerando como caso de estudio a la ciudad de Quito-Ecuador.
Nelson Herrera Herrera, Estevan Gomez
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Breaking the temporal and frequency congestion of LiDAR by parallel chaos
Nature Photonics, 2023 The rising demand for high scanning accuracy and resolution in sensors for self-driving vehicles has led to the rapid development of parallelization in light detection and ranging (LiDAR) technologies. However, for the two major existing LiDAR categories—
Ruixuan Chen +8 more
semanticscholar +1 more source
The Ultrasound Journal, 2020 Background Organ congestion is a mediator of adverse outcomes in critically ill patients. Point-Of-Care ultrasound (POCUS) is widely available and could enable clinicians to detect signs of venous congestion at the bedside.
W. Beaubien-Souligny +6 more
semanticscholar +1 more source
A Review of Traffic Congestion Prediction Using Artificial Intelligence
Journal of Advanced Transportation, 2021 In recent years, traffic congestion prediction has led to a growing research area, especially of machine learning of artificial intelligence (AI). With the introduction of big data by stationary sensors or probe vehicle data and the development of new AI
Mahmuda Akhtar, S. Moridpour
semanticscholar +1 more source
Applications of deep learning in congestion detection, prediction and alleviation: A survey [PDF]
Transportation Research Part C: Emerging Technologies, 2021 Detecting, predicting, and alleviating traffic congestion are targeted at improving the level of service of the transportation network. With increasing access to larger datasets of higher resolution, the relevance of deep learning for such tasks is ...
Nishant Kumar, M. Raubal
semanticscholar +1 more source
Swift: Delay is Simple and Effective for Congestion Control in the Datacenter
Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, 2020 We report on experiences with Swift congestion control in Google datacenters. Swift targets an end-to-end delay by using AIMD control, with pacing under extreme congestion.
G. Kumar +11 more
semanticscholar +1 more source
Sustainability, 2020 Traffic congestion is a perpetual problem for the sustainability of transportation development. Traffic congestion causes delays, inconvenience, and economic losses to drivers, as well as air pollution.
T. Afrin, N. Yodo
semanticscholar +1 more source
Integración de herramientas para la toma de decisiones en la congestión vehicular
Dyna, 2018 Este estudio tiene como finalidad presentar un análisis de la utilización e integración de herramientas tecnológicas que ayudan a tomar decisiones en situaciones de congestión vehicular.
Nelson Ivan Herrera-Herrera +2 more
doaj +1 more source
European Journal of Heart Failure, 2019 The vast majority of acute heart failure episodes are characterized by increasing symptoms and signs of congestion with volume overload. The goal of therapy in those patients is the relief of congestion through achieving a state of euvolaemia, mainly ...
W. Mullens +14 more
semanticscholar +1 more source