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Titlebook: Big Data Analytics for Smart Transport and Healthcare Systems; Saeid Pourroostaei Ardakani,Ali Cheshmehzangi Book 2023 The Editor(s) (if a

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11#
發(fā)表于 2025-3-23 11:20:34 | 只看該作者
12#
發(fā)表于 2025-3-23 17:24:08 | 只看該作者
Introducing the Google Tools Suite, to be more accurate by using feature relevance to assist people in making real-time transportation decisions to improve mobility and reduce accidents. The findings help improve urban transportation network?and systems at multiple spatial levels.
13#
發(fā)表于 2025-3-23 21:16:43 | 只看該作者
14#
發(fā)表于 2025-3-23 23:49:04 | 只看該作者
A Predictive Data Analysis for Traffic Accidents: Real-Time Data Use for Mobility Improvement and Ac to be more accurate by using feature relevance to assist people in making real-time transportation decisions to improve mobility and reduce accidents. The findings help improve urban transportation network?and systems at multiple spatial levels.
15#
發(fā)表于 2025-3-24 06:18:06 | 只看該作者
Healthcare Infrastructure Development and Pandemic Prevention: An Optimal Model for Healthcare Inveshts how big data could be used to improve the availability and development of urban critical infrastructures, such as healthcare infrastructure. An optimal model is suggested as part of the conclusion of this study.
16#
發(fā)表于 2025-3-24 08:52:01 | 只看該作者
17#
發(fā)表于 2025-3-24 12:30:20 | 只看該作者
Robert Fantina,Andriy Storozhuk,Kamal Goyalynomial regression?models to predict the delay time of a flight. The data analysis algorithm?runs on a well-known dataset, which comprises flight data from more than ten US airlines?from 2009 to 2019. The result indicates that 97.04. of the predicted result has a difference of fewer than 15?min between the actual value.
18#
發(fā)表于 2025-3-24 16:37:08 | 只看該作者
https://doi.org/10.1007/978-1-4302-2992-6ese transitions happening at a gradual pace. Thus, we believe these two sectors are leading the Big Data analytics research and practice, particularly in the context of smartness and smart city development. The chapter also summarises some of the key lessons from all case study chapters.
19#
發(fā)表于 2025-3-24 21:45:02 | 只看該作者
20#
發(fā)表于 2025-3-25 02:13:52 | 只看該作者
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