Verlag: Chaukhamba Sanskrit Pratishthan
ISBN 10: 8170848237 ISBN 13: 9788170848233
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 7,60
Anzahl: 4 verfügbar
In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838327187 ISBN 13: 9783838327181
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. 3-D Reconstruction with Feature Level Fusion | Using Range and Intensity Images of an Object | Umesh Chandra Pati (u. a.) | Taschenbuch | 124 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838327181 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: LAP Lambert Academic Publishing, 2010
ISBN 10: 3838327187 ISBN 13: 9783838327181
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 128,55
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 124 pages. 8.66x5.91x0.28 inches. In Stock.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 175,18
Anzahl: 3 verfügbar
In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Information Science Reference, 2012
ISBN 10: 1466601132 ISBN 13: 9781466601130
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 198,84
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 214,63
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: moluna, Greven, Deutschland
EUR 192,78
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Provides a sorely needed primer on the opportunities of computer vision techniques for renewable energy systemsBuilds knowledge and tools in a systematic manner, from fundamentals to advanced applicationsIncludes dedicated chapters.
Sprache: Englisch
Verlag: Elsevier Science Okt 2024, 2024
ISBN 10: 0443289476 ISBN 13: 9780443289477
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Computer Vision and Machine Intelligence for Renewable Energy Systems offers a practical, systemic guide to the use of computer vision as an innovative tool to support renewable energy integration.This book equips readers with a variety of essential tools and applications: Part I outlines the fundamentals of computer vision and its unique benefits in renewable energy system models compared to traditional machine intelligence: minimal computing power needs, speed, and accuracy even with partial data. Part II breaks down specific techniques, including those for predictive modeling, performance prediction, market models, and mitigation measures. Part III offers case studies and applications to a wide range of renewable energy sources, and finally the future possibilities of the technology are considered. The very first book in Elsevier s cutting-edge new series Advances in Intelligent Energy Systems, Computer Vision and Machine Intelligence for Renewable Energy Systems provides engineers and renewable energy researchers with a holistic, clear introduction to this promising strategy for control and reliability in renewable energy grids.