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In den WarenkorbZustand: New. pp. 299.
Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Electrification plays a key role in decarbonizing energy consumption for various sectors, including transportation, heating, and cooling. There are several essential infrastructures for a smart city, including smart grids and transportation networks. These infrastructures are the complementary solutions to successfully developing novel services, with enhanced energy efficiency and energy security. Five papers are published in this Special Issue that cover various key areas expanding the state-of-the-art in smart cities' electrification, including transportation, healthcare, and advanced closed-circuit televisions for smart city surveillance.
Zustand: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | Electrification plays a key role in decarbonizing energy consumption for various sectors, including transportation, heating, and cooling. There are several essential infrastructures for a smart city, including smart grids and transportation networks. These infrastructures are the complementary solutions to successfully developing novel services, with enhanced energy efficiency and energy security. Five papers are published in this Special Issue that cover various key areas expanding the state-of-the-art in smart cities' electrification, including transportation, healthcare, and advanced closed-circuit televisions for smart city surveillance.
Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Electrification plays a key role in decarbonizing energy consumption for various sectors, including transportation, heating, and cooling. There are several essential infrastructures for a smart city, including smart grids and transportation networks. These infrastructures are the complementary solutions to successfully developing novel services, with enhanced energy efficiency and energy security. Five papers are published in this Special Issue that cover various key areas expanding the state-of-the-art in smart cities' electrification, including transportation, healthcare, and advanced closed-circuit televisions for smart city surveillance.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
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In den WarenkorbZustand: New. Synthesizes the newest developments in data-driven transportation science Includes case studies and examples in each chapter that illustrate the application of methodologies and technologies employed Useful for both theoretical an.
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In den WarenkorbKartoniert / Broschiert. Zustand: New. Introduces fundamental machine learning theories and methodologies Presents state-of-the-art machine learning methodologies and their incorporation into transportationdomain knowledge Includes case studies or examples in each .
Sprache: Englisch
Verlag: Amer Society of Civil Engineers, 2022
ISBN 10: 0784415986 ISBN 13: 9780784415986
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 184,55
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In den WarenkorbPaperback. Zustand: Brand New. 344 pages. 5.91x0.59x9.84 inches. In Stock.
Taschenbuch. Zustand: Neu. Data-Driven Solutions to Transportation Problems | Yinhai Wang (u. a.) | Taschenbuch | Einband - fest (Hardcover) | Englisch | 2018 | Elsevier Inc | EAN 9780128170267 | Verantwortliche Person für die EU: Zeitfracht Medien GmbH, Ferdinand-Jühlke-Str. 7, 99095 Erfurt, produktsicherheit[at]zeitfracht[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: Elsevier - Health Sciences Division Apr 2023, 2023
ISBN 10: 0323961266 ISBN 13: 9780323961264
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - 'Transportation is a combination of systems that presents a variety of challenges often too intricate to be addressed by conventional parametric methods. Increasing data availability and recent advancements in machine learning provide new methods to tackle challenging transportation problems. This textbook is designed for college or graduate-level students in transportation or closely related fields to study and understand fundamentals in machine learning. Readers will learn how to develop and apply various types of machine learning models to transportation-related problems. Example applications include traffic sensing, data-quality control, traffic prediction, transportation asset management, traffic-system control and operations, and traffic-safety analysis.'--.