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Verlag: Bpb Publications 5/16/2020, 2020
ISBN 10: 8194334462 ISBN 13: 9788194334460
Sprache: Englisch
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In den WarenkorbPaperback or Softback. Zustand: New. Getting Started with SharePoint Framework (SPFx): Design and Build Engaging Intelligent Applications Using SharePoint Framework (English Edition) 0.81. Book.
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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In den WarenkorbPaperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days. 830.
Verlag: Taylor & Francis Ltd (Sales) Mär 2025, 2025
ISBN 10: 0367679892 ISBN 13: 9780367679897
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - This book equips readers with the knowledge to data analytics, machine learning and deep learning techniques for applications defined under the umbrella of Industry 4.0.
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In den WarenkorbZustand: New. 1st edition NO-PA16APR2015-KAP.
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In den WarenkorbPaperback. Zustand: new. Paperback. Machine learning (ML) and deep learning (DL) algorithms are invaluable resources for Industry 4.0 and allied areas and are considered as the future of computing. A subfield called neural networks, to recognize and understand patterns in data, helps a machine carry out tasks in a manner similar to humans. The intelligent models developed using ML and DL are effectively designed and are fully investigated bringing in practical applications in many fields such as health care, agriculture and security. These algorithms can only be successfully applied in the context of data computing and analysis. Today, ML and DL have created conditions for potential developments in detection and prediction. Apart from these domains, ML and DL are found useful in analysing the social behaviour of humans. With the advancements in the amount and type of data available for use, it became necessary to build a means to process the data and that is where deep neural networks prove their importance. These networks are capable of handling a large amount of data in such fields as finance and images. This book also exploits key applications in Industry 4.0 including: Fundamental models, issues and challenges in ML and DL. Comprehensive analyses and probabilistic approaches for ML and DL. Various applications in healthcare predictions such as mental health, cancer, thyroid disease, lifestyle disease and cardiac arrhythmia. Industry 4.0 applications such as facial recognition, feather classification, water stress prediction, deforestation control, tourism and social networking. Security aspects of Industry 4.0 applications suggest remedial actions against possible attacks and prediction of associated risks. - Information is presented in an accessible way for students, researchers and scientists, business innovators and entrepreneurs, sustainable assessment and management professionals.This book equips readers with a knowledge of data analytics, ML and DL techniques for applications defined under the umbrella of Industry 4.0. This book offers comprehensive coverage, promising ideas and outstanding research contributions, supporting further development of ML and DL approaches by applying intelligence in various applications. This book equips readers with the knowledge to data analytics, machine learning and deep learning techniques for applications defined under the umbrella of Industry 4.0. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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In den WarenkorbPaperback. Zustand: Brand New. 446 pages. 10.00x7.00x10.00 inches. In Stock.
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In den WarenkorbPaperback. Zustand: new. Paperback. Machine learning (ML) and deep learning (DL) algorithms are invaluable resources for Industry 4.0 and allied areas and are considered as the future of computing. A subfield called neural networks, to recognize and understand patterns in data, helps a machine carry out tasks in a manner similar to humans. The intelligent models developed using ML and DL are effectively designed and are fully investigated bringing in practical applications in many fields such as health care, agriculture and security. These algorithms can only be successfully applied in the context of data computing and analysis. Today, ML and DL have created conditions for potential developments in detection and prediction. Apart from these domains, ML and DL are found useful in analysing the social behaviour of humans. With the advancements in the amount and type of data available for use, it became necessary to build a means to process the data and that is where deep neural networks prove their importance. These networks are capable of handling a large amount of data in such fields as finance and images. This book also exploits key applications in Industry 4.0 including: Fundamental models, issues and challenges in ML and DL. Comprehensive analyses and probabilistic approaches for ML and DL. Various applications in healthcare predictions such as mental health, cancer, thyroid disease, lifestyle disease and cardiac arrhythmia. Industry 4.0 applications such as facial recognition, feather classification, water stress prediction, deforestation control, tourism and social networking. Security aspects of Industry 4.0 applications suggest remedial actions against possible attacks and prediction of associated risks. - Information is presented in an accessible way for students, researchers and scientists, business innovators and entrepreneurs, sustainable assessment and management professionals.This book equips readers with a knowledge of data analytics, ML and DL techniques for applications defined under the umbrella of Industry 4.0. This book offers comprehensive coverage, promising ideas and outstanding research contributions, supporting further development of ML and DL approaches by applying intelligence in various applications. This book equips readers with the knowledge to data analytics, machine learning and deep learning techniques for applications defined under the umbrella of Industry 4.0. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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In den WarenkorbPaperback. Zustand: new. Paperback. Machine learning (ML) and deep learning (DL) algorithms are invaluable resources for Industry 4.0 and allied areas and are considered as the future of computing. A subfield called neural networks, to recognize and understand patterns in data, helps a machine carry out tasks in a manner similar to humans. The intelligent models developed using ML and DL are effectively designed and are fully investigated bringing in practical applications in many fields such as health care, agriculture and security. These algorithms can only be successfully applied in the context of data computing and analysis. Today, ML and DL have created conditions for potential developments in detection and prediction. Apart from these domains, ML and DL are found useful in analysing the social behaviour of humans. With the advancements in the amount and type of data available for use, it became necessary to build a means to process the data and that is where deep neural networks prove their importance. These networks are capable of handling a large amount of data in such fields as finance and images. This book also exploits key applications in Industry 4.0 including: Fundamental models, issues and challenges in ML and DL. Comprehensive analyses and probabilistic approaches for ML and DL. Various applications in healthcare predictions such as mental health, cancer, thyroid disease, lifestyle disease and cardiac arrhythmia. Industry 4.0 applications such as facial recognition, feather classification, water stress prediction, deforestation control, tourism and social networking. Security aspects of Industry 4.0 applications suggest remedial actions against possible attacks and prediction of associated risks. - Information is presented in an accessible way for students, researchers and scientists, business innovators and entrepreneurs, sustainable assessment and management professionals.This book equips readers with a knowledge of data analytics, ML and DL techniques for applications defined under the umbrella of Industry 4.0. This book offers comprehensive coverage, promising ideas and outstanding research contributions, supporting further development of ML and DL approaches by applying intelligence in various applications. This book equips readers with the knowledge to data analytics, machine learning and deep learning techniques for applications defined under the umbrella of Industry 4.0. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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EUR 189,66
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In den WarenkorbHardback. Zustand: New. New copy - Usually dispatched within 4 working days. 209.
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Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 182,62
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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EUR 184,10
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
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Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 189,65
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EUR 208,95
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In den WarenkorbZustand: New.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 213,61
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EUR 185,41
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In den WarenkorbZustand: New.
Anbieter: dsmbooks, Liverpool, Vereinigtes Königreich
EUR 238,76
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In den WarenkorbHardcover. Zustand: New. New. book.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 432 pages. 10.25x7.25x1.25 inches. In Stock.
Verlag: LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203911305 ISBN 13: 9786203911305
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 40,89
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In den WarenkorbTaschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - It is about Intelligent Bike using AI based on riding conditions. It is able to collect and transmit multiple sensor data to the cloud database, and the real -time sensor information is used to analyze for an appropriate riding state through random forest. Our performs automatic gear shifting using inexpensive sensor components and embedded system development board, which is not available in current expensive electronic shifting systems.The function and the installation of the external components can be carried out on the o-the-shelf bike with a shifting line, without the need to dismantle or modify the basic equipment. The system also includes an Intelligent bike specific online management interface that allows all cloud data to be displayed and let users access and understand their riding conditions.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 75,00
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In den WarenkorbPaperback. Zustand: Brand New. 446 pages. 10.00x7.00 inches. In Stock. This item is printed on demand.