Librería: California Books, Miami, FL, Estados Unidos de America
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Publicado por Bpb Publications 5/16/2020, 2020
ISBN 10: 8194334462 ISBN 13: 9788194334460
Idioma: Inglés
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 24,27
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Añadir al carritoPaperback or Softback. Condición: New. Getting Started with SharePoint Framework (SPFx): Design and Build Engaging Intelligent Applications Using SharePoint Framework (English Edition) 0.81. Book.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 72,01
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 66,82
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 78,28
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 67,87
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Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 77,55
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 830.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 77,38
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 85,06
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Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 77,53
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Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 64,71
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Añadir al carritoPaperback. Condición: 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.
Publicado por Taylor & Francis Ltd (Sales) Mär 2025, 2025
ISBN 10: 0367679892 ISBN 13: 9780367679897
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 85,15
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Añadir al carritoTaschenbuch. Condición: 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.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 86,31
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 102,17
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Añadir al carritoPaperback. Condición: Brand New. 446 pages. 10.00x7.00x10.00 inches. In Stock.
Librería: CitiRetail, Stevenage, Reino Unido
EUR 83,57
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Añadir al carritoPaperback. Condición: 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.
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
EUR 81,49
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Añadir al carritoPaperback. Condición: 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.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 188,99
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days. 209.
Publicado por Taylor & Francis Group, 2021
ISBN 10: 0367679795 ISBN 13: 9780367679798
Idioma: Inglés
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 188,66
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 181,99
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 183,68
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 186,86
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Publicado por Taylor & Francis Group, 2021
ISBN 10: 0367679795 ISBN 13: 9780367679798
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
EUR 194,76
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 188,98
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Librería: California Books, Miami, FL, Estados Unidos de America
EUR 209,25
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 212,85
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 185,68
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Librería: dsmbooks, Liverpool, Reino Unido
EUR 239,11
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Añadir al carritoHardcover. Condición: New. New. book.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 278,02
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Añadir al carritoHardcover. Condición: Brand New. 432 pages. 10.25x7.25x1.25 inches. In Stock.
Publicado por LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203911305 ISBN 13: 9786203911305
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 40,89
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Añadir al carritoTaschenbuch. Condición: 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.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 74,74
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Añadir al carritoPaperback. Condición: Brand New. 446 pages. 10.00x7.00 inches. In Stock. This item is printed on demand.