Condizione: good. Fast Free Shipping â" Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy.
hardcover. Condizione: Very Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or limited writing/highlighting. We ship orders daily and Customer Service is our top priority!
hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 53,98
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Condizione: New. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 74,24
Quantità: 5 disponibili
Aggiungi al carrelloCondizione: new.
Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2024
ISBN 10: 3031267141 ISBN 13: 9783031267147
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. While GPS is the de-facto solution for outdoor positioning with a clear sky view, there is no prevailing technology for GPS-deprived areas, including dense city centers, urban canyons, buildings and other covered structures, and subterranean facilities such as underground mines, where GPS signals are severely attenuated or totally blocked. As an alternative to GPS for the outdoors, indoor localization using machine learning is an emerging embedded and Internet of Things (IoT) application domain that is poised to reinvent the way we navigate in various indoor environments. This book discusses advances in the applications of machine learning that enable the localization and navigation of humans, robots, and vehicles in GPS-deficient environments. The book explores key challenges in the domain, such as mobile device resource limitations, device heterogeneity, environmental uncertainties, wireless signal variations, and security vulnerabilities. Countering these challenges can improve theaccuracy, reliability, predictability, and energy-efficiency of indoor localization and navigation. The book identifies severalnovel energy-efficient, real-time, and robust indoor localization techniques that utilize emerging deep machine learning and statistical techniques to address the challenges for indoor localization and navigation. In particular, the book:Provides comprehensive coverage of the application of machine learning to the domain of indoor localization;Presents techniques to adapt and optimize machine learning models for fast, energy-efficient indoor localization;Covers design and deployment of indoor localization frameworks on mobile, IoT, and embedded devices in real conditions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Morgan Kaufmann 2008-02-15, 2008
ISBN 10: 012373892X ISBN 13: 9780123738929
Da: Chiron Media, Wallingford, Regno Unito
EUR 69,09
Quantità: Più di 20 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
EUR 81,54
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 544.
Da: Majestic Books, Hounslow, Regno Unito
EUR 87,81
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 78,59
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. illustrated edition. 536 pages. 9.50x8.00x1.50 inches. In Stock.
Condizione: New. 2023rd edition NO-PA16APR2015-KAP.
EUR 93,01
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 84,56
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Brook Bookstore, Milano, MI, Italia
EUR 69,50
Quantità: 5 disponibili
Aggiungi al carrelloCondizione: new.
Condizione: New. pp. 544.
EUR 89,26
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 582 pages. 9.25x6.10x9.25 inches. In Stock.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 89,43
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New. First edition Includes bibliographical references and index.
Lingua: Inglese
Editore: Elsevier Science & Technology, 2008
ISBN 10: 012373892X ISBN 13: 9780123738929
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 86,28
Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
EUR 97,25
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 544.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 89,45
Quantità: 1 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 96,76
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 103,11
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
EUR 117,28
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 2024th edition NO-PA16APR2015-KAP.
Da: SKULIMA Wiss. Versandbuchhandlung, Westhofen, Germania
EUR 77,70
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Wie Neu. Zustandsbeschreibung: leichte Lagerspuren, leicht bestoßen/minor shelfwear, slightly bumped. Edited by Vipin Kumar Kukkala and Sudeep Pasricha. With contributions by Wanli Chang, Nan Chen, Shuai Zhao, Xiaotian Dai et al. XV,789 Seiten, gebunden (Springer-Verlag 2023). Statt EUR 117,69. Gewicht: 137 g - Gebunden/Gebundene Ausgabe.