Da: Majestic Books, Hounslow, Regno Unito
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 127,41
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Lingua: Inglese
Editore: Elsevier - Health Sciences Division, 2023
ISBN 10: 0323958923 ISBN 13: 9780323958929
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 122,43
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Handbook of Mobility Data Mining, Volume 3 | Haora Zhang | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | Elsevier Inc | EAN 9780323958929 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: Elsevier - Health Sciences Division, 2023
ISBN 10: 0323958923 ISBN 13: 9780323958929
Da: Buchpark, Trebbin, Germania
EUR 86,33
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Aggiungi al carrelloCondizione: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Da: moluna, Greven, Germania
EUR 145,98
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Aggiungi al carrelloCondizione: New. Introduces MDM applications from six major areas: intelligent transportation management, shared transportation systems, disaster management, pandemic response, low-carbon transportation, and social equality Uses case studies to examine pos.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 99,28
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Da: Revaluation Books, Exeter, Regno Unito
EUR 110,56
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Aggiungi al carrelloPaperback. Condizione: Brand New. 300 pages. 9.00x6.00x0.47 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Elsevier - Health Sciences Division Jan 2023, 2023
ISBN 10: 0323958923 ISBN 13: 9780323958929
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 109,00
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Handbook of Mobility Data Mining: Volume Three: Mobility Data-Driven Applications introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. The book introduces how to design MDM platforms that adapt to the evolving mobility environment-and new types of transportation and users-based on an integrated solution that utilizes sensing and communication capabilities to tackle significant challenges faced by the MDM field. This third volume looks at various cases studies to illustrate and explore the methods introduced in the first two volumes, covering topics such as Intelligent Transportation Management, Smart Emergency Management-detailing cases such as the Fukushima earthquake, Hurricane Katrina, and COVID-19-and Urban Sustainability Development, covering bicycle and railway travel behavior, mobility inequality, and road and light pollution inequality. 242 pp. Englisch.
Lingua: Inglese
Editore: Elsevier - Health Sciences Division, 2023
ISBN 10: 0323958923 ISBN 13: 9780323958929
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 162,97
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Lingua: Inglese
Editore: Elsevier Science & Technology, Elsevier, 2023
ISBN 10: 0323958923 ISBN 13: 9780323958929
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 120,57
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Handbook of Mobility Data Mining: Volume Three: Mobility Data-Driven Applications introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. The book introduces how to design MDM platforms that adapt to the evolving mobility environment-and new types of transportation and users-based on an integrated solution that utilizes sensing and communication capabilities to tackle significant challenges faced by the MDM field. This third volume looks at various cases studies to illustrate and explore the methods introduced in the first two volumes, covering topics such as Intelligent Transportation Management, Smart Emergency Management-detailing cases such as the Fukushima earthquake, Hurricane Katrina, and COVID-19-and Urban Sustainability Development, covering bicycle and railway travel behavior, mobility inequality, and road and light pollution inequality.