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Titlebook: Intelligent Transport Systems, From Research and Development to the Market Uptake; Second EAI Internati Joao Carlos Ferreira,Ana Lúcia Mart

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發(fā)表于 2025-3-21 18:18:22 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Intelligent Transport Systems, From Research and Development to the Market Uptake
副標(biāo)題Second EAI Internati
編輯Joao Carlos Ferreira,Ana Lúcia Martins,Vitor Monte
視頻videohttp://file.papertrans.cn/471/470145/470145.mp4
叢書名稱Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
圖書封面Titlebook: Intelligent Transport Systems, From Research and Development to the Market Uptake; Second EAI Internati Joao Carlos Ferreira,Ana Lúcia Mart
描述This book constitutes the proceedings of the Second EAI International Conference on Intelligent Transport Systems, INTSYS 2108, which was held in Guimar?es, Portugal, in November 2018.. The 11 revised full papers were selected from 16 submissions and are organized in four thematic sessions on parking and collaborative approaches, case studies and simulation, mobility and planning, and Future 5V.
出版日期Conference proceedings 2019
關(guān)鍵詞ad hoc networks; applied computing transportation; big data in ITS and data driven innovation; city log
版次1
doihttps://doi.org/10.1007/978-3-030-14757-0
isbn_softcover978-3-030-14756-3
isbn_ebook978-3-030-14757-0Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019
The information of publication is updating

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With Whom Transport Operators Should Partner? An Urban Mobility and Services Geolocation Data Analysmobility data is used to identify mobility patterns of different segments of passengers and points-of-interest data is used to analyse the type of services that are likely to concentrate around public transport stations. The results allowed to identify the potential city services to establish partne
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Intermodal Routing Model for Sustainable Transport Through Multi-objective Optimizationde of the network - undefined destination. The mathematical formulation of the model leads to a multi-objective mixed binary linear program, and a classical scalarization method is performed to solve the problem. There is a lack of intermodal routing models in literature and specifically no multi-ob
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A Low Latency SCAN-Flip Polar Decoder for 5G Vehicular Communication improve the performance of our SCAN-Flip decoder further. Simulation results show that the proposed decoder has a much smaller average number of iterations than that of SCF at equivalent frame error rate. At equivalent max number of iterations, the error-correction performance of SCAN-Flip outperfo
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Joao Carlos Ferreira,Ana Lúcia Martins,Vitor Monte
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ilitation. Consequently, the development of both metaverse and 6G will progress in tandem, hand in hand, offering local services in hospitals. From a value perspective, this paper contributes to the development of the 6G and metaverse in the hospital vertical by understanding the needs, capabilities
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Jo?o Carlos Ferreira,Ana Lúcia Martins,Frederica Gon?alves,Rui Maia through extensive feature selection, model testing, tuning, and edge optimization, we propose two novel Long Short-Term Memory (LSTM) neural networks. The first, uses 4 EEG sensors and can classify AD and Frontotemporal Dementia from cognitively normal (CN) subjects. The second, requires 3 EEG sens
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