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Computing, Communication and Learning: Second International Conference, CoCoLe 2023, Warangal, India, August 29-31, 2023, Proceedings (Communications in Computer and Information Science)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Computing, Communication and Learning: Third International Conference, CoCoLe 2024, Warangal, India, September 13-15, 2024, Revised Selected Papers
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Condition: New. 2024th edition NO-PA16APR2015-KAP.
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Computing, Communication And Learning :
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Computing, Communication and Learning: Second International Conference, Cocole 2023, Warangal, India, August 2931, 2023, Proceedings
Language: English
Published by Springer-Nature New York Inc, 2024
ISBN 10: 3031569970 ISBN 13: 9783031569975
Paperback. Condition: Brand New. 325 pages. 9.25x6.10x9.21 inches. In Stock.
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Taschenbuch. Condition: Neu. Computing, Communication and Learning | Second International Conference, CoCoLe 2023, Warangal, India, August 29-31, 2023, Proceedings | Sanjaya Kumar Panda (u. a.) | Taschenbuch | xv | Englisch | 2024 | Springer | EAN 9783031569975 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Computing, Communication and Learning : Second International Conference, CoCoLe 2023, Warangal, India, August 29-31, 2023, Proceedings
Language: English
Published by Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 3031569970 ISBN 13: 9783031569975
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume constitutes the refereed proceedings of the Second International Conference on Computing, Communication and Learning, CoCoLe 2023, held in Warangal, India, in August 29-31, 2023.The 25 full papers presented were carefully reviewed and selected from 120 submissions. The CoCoLe conference focuses onApplication of Supervised Learning in Computing;Application of Unsupervised Learning in Computing; andComputing in Communication Networks.
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Computing, Communication and Learning: Third International Conference, Cocole 2024, Warangal, India, September 1315, 2024, Revised Selected Papers
Language: English
Published by Springer-Nature New York Inc, 2025
ISBN 10: 3031790405 ISBN 13: 9783031790409
Paperback. Condition: Brand New. 454 pages. 9.25x6.10x9.21 inches. In Stock.
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Taschenbuch. Condition: Neu. Computing, Communication and Learning | Third International Conference, CoCoLe 2024, Warangal, India, September 13-15, 2024, Revised Selected Papers | Sanjaya Kumar Panda (u. a.) | Taschenbuch | Communications in Computer and Information Science | xviii | Englisch | 2025 | Springer | EAN 9783031790409 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the Third International Conference on Computing, Communication and Learning, CoCoLe 2024, held in Warangal, India, in September 2024.The24 full papers and10 short papers presented here were carefully reviewed and selected from 149 submissions. These papers have been categorized under the following topical sections:Advancements in AI for Predictive Modeling, Quality Enhancement, and Real-Time Detection Across Various Domains;Machine Learning Advances in Medical Imaging, Agricultural Monitoring, and Multimedia Processing;Advancements in Privacy-Preservation and Intelligent Detection Systems for Federated Learning and Edge Computing.
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 328 | Sprache: Englisch | Produktart: Bücher | This volume constitutes the refereed proceedings of the Second International Conference on Computing, Communication and Learning, CoCoLe 2023, held in Warangal, India, in August 29¿31, 2023.The 25 full papers presented were carefully reviewed and selected from 120 submissions. The CoCoLe conference focuses on Application of Supervised Learning in Computing; Application of Unsupervised Learning in Computing; and Computing in Communication Networks.
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Artificial Neural Network Applications for Software Reliability Prediction (Hardcover)
Language: English
Published by John Wiley & Sons Inc, New York, 2017
ISBN 10: 1119223547 ISBN 13: 9781119223542
Hardcover. Condition: new. Hardcover. This book provides a starting point for software professionals to apply artificial neural networks for software reliability prediction without having analyst capability and expertise in various ANN architectures and their optimization. Artificial neural network (ANN) has proven to be a universal approximator for any non-linear continuous function with arbitrary accuracy. This book presents how to apply ANN to measure various software reliability indicators: number of failures in a given time, time between successive failures, fault-prone modules and development efforts. The application of machine learning algorithm i.e. artificial neural networks application in software reliability prediction during testing phase as well as early phases of software development process are presented. Applications of artificial neural network for the above purposes are discussed with experimental results in this book so that practitioners can easily use ANN models for predicting software reliability indicators. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Artificial Neural Network Applications for Software Reliability Prediction
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Artificial Neural Network Applications for Software Reliability Prediction
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Artificial Neural Network Applications for Software Reliability Prediction
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Artificial Neural Network Applications for Software Reliability Prediction (Performability Engineering Series)
Language: English
Published by John Wiley & Sons 2016-08-04, 2016
ISBN 10: 1119223547 ISBN 13: 9781119223542
£ 177.48
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Artificial Neural Network Applications for Software Reliability Prediction (Hardcover)
Language: English
Published by John Wiley & Sons Inc, New York, 2017
ISBN 10: 1119223547 ISBN 13: 9781119223542
Hardcover. Condition: new. Hardcover. This book provides a starting point for software professionals to apply artificial neural networks for software reliability prediction without having analyst capability and expertise in various ANN architectures and their optimization. Artificial neural network (ANN) has proven to be a universal approximator for any non-linear continuous function with arbitrary accuracy. This book presents how to apply ANN to measure various software reliability indicators: number of failures in a given time, time between successive failures, fault-prone modules and development efforts. The application of machine learning algorithm i.e. artificial neural networks application in software reliability prediction during testing phase as well as early phases of software development process are presented. Applications of artificial neural network for the above purposes are discussed with experimental results in this book so that practitioners can easily use ANN models for predicting software reliability indicators. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Artificial Neural Network Applications for Software Reliability Prediction
Language: English
Published by John Wiley & Sons Inc, 2017
ISBN 10: 1119223547 ISBN 13: 9781119223542
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
Condition: New. Series: Performability Engineering Series. Num Pages: 250 pages. BIC Classification: TJ; UMZ; UYQN. Category: (P) Professional & Vocational. Weight in Grams: 666. . 2017. 1st Edition. Hardcover. . . . .
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Artificial Neural Network Applications for Software Reliability Prediction (Hardcover)
Language: English
Published by John Wiley & Sons Inc, New York, 2017
ISBN 10: 1119223547 ISBN 13: 9781119223542
Hardcover. Condition: new. Hardcover. This book provides a starting point for software professionals to apply artificial neural networks for software reliability prediction without having analyst capability and expertise in various ANN architectures and their optimization. Artificial neural network (ANN) has proven to be a universal approximator for any non-linear continuous function with arbitrary accuracy. This book presents how to apply ANN to measure various software reliability indicators: number of failures in a given time, time between successive failures, fault-prone modules and development efforts. The application of machine learning algorithm i.e. artificial neural networks application in software reliability prediction during testing phase as well as early phases of software development process are presented. Applications of artificial neural network for the above purposes are discussed with experimental results in this book so that practitioners can easily use ANN models for predicting software reliability indicators. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Hardcover. Condition: Brand New. 250 pages. 9.25x6.25x1.00 inches. In Stock.
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Artificial Neural Network Applications for Software Reliability Prediction
Language: English
Published by John Wiley & Sons Inc, 2017
ISBN 10: 1119223547 ISBN 13: 9781119223542
Condition: New. Series: Performability Engineering Series. Num Pages: 250 pages. BIC Classification: TJ; UMZ; UYQN. Category: (P) Professional & Vocational. Weight in Grams: 666. . 2017. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
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Buch. Condition: Neu. Neuware - Artificial neural network (ANN) has proven to be a universal approximator for any non-linear continuous function with arbitrary accuracy. This book presents how to apply ANN to measure various software reliability indicators: number of failures in a given time, time between successive failures, fault-prone modules and development efforts. The application of machine learning algorithm i.e. artificial neural networks application in software reliability prediction during testing phase as well as early phases of software development process is presented as well. Applications of artificial neural network for the above purposes are discussed with experimental results in this book so that practitioners can easily use ANN models for predicting software reliability indicators.
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Condition: new. Questo è un articolo print on demand.
