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paperback. Zustand: Good.
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Anbieter: AwesomeBooks, Wallingford, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Very Good. Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods (Business in the Digital Economy) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.
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In den WarenkorbZustand: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.
Anbieter: Bahamut Media, Reading, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.
Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
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In den WarenkorbZustand: New. pp. 150.
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In English.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In English.
Taschenbuch. Zustand: Neu. Neuware - The book is about use of AI in Big Data Analytics and has the potential for positive impact and global implications in healthcare. Future details on the use of Big Data in medical facilities, the definition of strategies adopted by medical facilities to promote and implement such solutions, as well as the benefits they gain from the use of Big Data analysis and how the perspectives in this area are seen. The interesting part in the book is How AI-powered facial emotion recognition device redefines patient care which is a device that is developed by the author which is going to be ground breaking in terms of technology.
Zustand: New. This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations. Series: Business in the Digital Economy. Num Pages: 272 pages, biography. BIC Classification: KCM; KJC; KJMV3; KJQ; KJS; KJSM. Category: (G) General (US: Trade). Dimension: 161 x 239 x 17. Weight in Grams: 412. . 2014. 1st ed. 2014. paperback. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: World Scientific Publishing Company, 2016
ISBN 10: 9814678414 ISBN 13: 9789814678414
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 84,18
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 262 pages. 9.18x6.12x9.21 inches. In Stock.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 106,72
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In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Emerald Publishing Limited, 2025
ISBN 10: 1836621078 ISBN 13: 9781836621072
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Emerald Publishing Limited, 2025
ISBN 10: 1836621078 ISBN 13: 9781836621072
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 152,02
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In den WarenkorbZustand: New. 2025. hardcover. . . . . . Books ship from the US and Ireland.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 246 pages. 9.75x6.50x0.75 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 151,72
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In den WarenkorbHardcover. Zustand: Brand New. 213 pages. 9.25x6.00x0.75 inches. In Stock.
Sprache: Englisch
Verlag: Business Science Reference, 2021
ISBN 10: 1799872327 ISBN 13: 9781799872320
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 184,50
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Taschenbuch. Zustand: Neu. Smart Big Data in Digital Agriculture Applications | Acquisition, Advanced Analytics, and Plant Physiology-informed Artificial Intelligence | Haoyu Niu (u. a.) | Taschenbuch | Agriculture Automation and Control | xviii | Englisch | 2025 | Springer | EAN 9783031526473 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer Nature Switzerland, Springer Nature Switzerland, 2025
ISBN 10: 3031526473 ISBN 13: 9783031526473
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In the dynamic realm of digital agriculture, the integration of big data acquisition platforms has sparked both curiosity and enthusiasm among researchers and agricultural practitioners. This book embarks on a journey to explore the intersection of artificial intelligence and agriculture, focusing on small-unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs), edge-AI sensors and the profound impact they have on digital agriculture, particularly in the context of heterogeneous crops, such as walnuts, pomegranates, cotton, etc. For example, lightweight sensors mounted on UAVs, including multispectral and thermal infrared cameras, serve as invaluable tools for capturing high-resolution images. Their enhanced temporal and spatial resolutions, coupled with cost effectiveness and near-real-time data acquisition, position UAVs as an optimal platform for mapping and monitoring crop variability in vast expanses. This combination of data acquisition platforms and advanced analytics generates substantial datasets, necessitating a deep understanding of fractional-order thinking, which is imperative due to the inherent 'complexity' and consequent variability within the agricultural process. Much optimism is vested in the field of artificial intelligence, such as machine learning (ML) and computer vision (CV), where the efficient utilization of big data to make it 'smart' is of paramount importance in agricultural research. Central to this learning process lies the intricate relationship between plant physiology and optimization methods. The key to the learning process is the plant physiology and optimization method. Crafting an efficient optimization method raises three pivotal questions: 1.) What represents the best approach to optimization 2.) How can we achieve a more optimal optimization 3.) Is it possible to demand 'more optimal machine learning,' exemplified by deep learning, while minimizing the need for extensive labeled data for digital agriculture This book details the foundations of the plant physiology-informed machine learning (PPIML) and the principle of tail matching (POTM) framework. It is the 9th title of the 'Agriculture Automation and Control' book series published by Springer.