Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208428025 ISBN 13: 9786208428020
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208428025 ISBN 13: 9786208428020
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208428025 ISBN 13: 9786208428020
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Feb 2025, 2025
ISBN 10: 6208428025 ISBN 13: 9786208428020
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 152 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208428025 ISBN 13: 9786208428020
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208428025 ISBN 13: 9786208428020
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Sprache: Englisch
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ISBN 10: 6208428025 ISBN 13: 9786208428020
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In den WarenkorbPaperback. Zustand: new. Paperback. The exponential growth of data generated from cameras, sensors, social media, and the public web has created both opportunities and challenges. While this data holds immense potential for extracting meaningful insights, its heterogeneity and volume make processing and analysis a daunting task. Among the various data formats, video data has emerged as a critical area of focus due to its widespread applications in surveillance, healthcare, security, smart cities, traffic management, and more.Analysis of Multi-Source Data Streaming with Soft Computing," is a culmination of our research and efforts to address the challenges associated with multi-source data analysis, particularly in the context of video analytics. The book is designed to provide a comprehensive understanding of the techniques and methodologies required to process, analyze, and summarize multi-source data streams efficiently. We focus on leveraging soft computing techniques, such as fuzzy logic, neural networks, evolutionary algorithms, and swarm intelligence, to develop robust and scalable solutions for real-time data analysis. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Feb 2025, 2025
ISBN 10: 6208428025 ISBN 13: 9786208428020
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The exponential growth of data generated from cameras, sensors, social media, and the public web has created both opportunities and challenges. While this data holds immense potential for extracting meaningful insights, its heterogeneity and volume make processing and analysis a daunting task. Among the various data formats, video data has emerged as a critical area of focus due to its widespread applications in surveillance, healthcare, security, smart cities, traffic management, and more.Analysis of Multi-Source Data Streaming with Soft Computing,' is a culmination of our research and efforts to address the challenges associated with multi-source data analysis, particularly in the context of video analytics. The book is designed to provide a comprehensive understanding of the techniques and methodologies required to process, analyze, and summarize multi-source data streams efficiently. We focus on leveraging soft computing techniques, such as fuzzy logic, neural networks, evolutionary algorithms, and swarm intelligence, to develop robust and scalable solutions for real-time data analysis.Books on Demand GmbH, Überseering 33, 22297 Hamburg 152 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208428025 ISBN 13: 9786208428020
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Analysis of Multi-Source Data Streaming with Soft Computing | Shaharyar Alam Ansari (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208428020 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208428025 ISBN 13: 9786208428020
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