Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 185,20
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Da: Best Price, Torrance, CA, U.S.A.
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Editore: Information Science Reference, 2022
ISBN 10: 1668445581 ISBN 13: 9781668445587
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 242,13
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Editore: Information Science Reference, 2022
ISBN 10: 1668445581 ISBN 13: 9781668445587
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 235,85
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Editore: Information Science Reference, 2022
ISBN 10: 1668445581 ISBN 13: 9781668445587
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Da: Best Price, Torrance, CA, U.S.A.
EUR 230,29
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Editore: Information Science Reference, 2022
ISBN 10: 1668445581 ISBN 13: 9781668445587
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 242,12
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Editore: Information Science Reference, 2022
ISBN 10: 1668445581 ISBN 13: 9781668445587
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 276,54
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Da: moluna, Greven, Germania
EUR 274,92
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Aggiungi al carrelloCondizione: New. KlappentextrnrnIt is crucial that forensic science meets challenges such as identifying hidden patterns in data, validating results for accuracy, and understanding varying criminal activities in order to be authoritative so as to hold up justice.
Editore: Information Science Reference, 2022
ISBN 10: 1668445581 ISBN 13: 9781668445587
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 276,02
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Editore: Information Science Reference, 2022
ISBN 10: 1668445581 ISBN 13: 9781668445587
Lingua: Inglese
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 242,87
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Editore: Engineering Science Reference, 2020
ISBN 10: 1799866904 ISBN 13: 9781799866909
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 313,30
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 193,68
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 201,86
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: moluna, Greven, Germania
EUR 198,66
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextIt is crucial that forensic science meets challenges such as identifying hidden patterns in data, validating results for accuracy, and understanding varying criminal activities in order to be authoritative so as to hold up jus.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 253,18
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Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 263,91
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 246,13
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - It is crucial that forensic science meets challenges such as identifying hidden patterns in data, validating results for accuracy, and understanding varying criminal activities in order to be authoritative so as to hold up justice and public safety. Artificial intelligence, with its potential subsets of machine learning and deep learning, has the potential to transform the domain of forensic science by handling diverse data, recognizing patterns, and analyzing, interpreting, and presenting results. Machine Learning and deep learning frameworks, with developed mathematical and computational tools, facilitate the investigators to provide reliable results. Further study on the potential uses of these technologies is required to better understand their benefits. Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks provides an outline of deep learning and machine learning frameworks and methods for use in forensic science to produce accurate and reliable results to aid investigation processes. The book also considers the challenges, developments, advancements, and emerging approaches of deep learning and machine learning. Covering key topics such as biometrics, augmented reality, and fraud investigation, this reference work is crucial for forensic scientists, law enforcement, computer scientists, researchers, scholars, academicians, practitioners, instructors, and students.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 327,56
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 342,84
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 329,26
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - It is crucial that forensic science meets challenges such as identifying hidden patterns in data, validating results for accuracy, and understanding varying criminal activities in order to be authoritative so as to hold up justice and public safety. Artificial intelligence, with its potential subsets of machine learning and deep learning, has the potential to transform the domain of forensic science by handling diverse data, recognizing patterns, and analyzing, interpreting, and presenting results. Machine Learning and deep learning frameworks, with developed mathematical and computational tools, facilitate the investigators to provide reliable results. Further study on the potential uses of these technologies is required to better understand their benefits. Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks provides an outline of deep learning and machine learning frameworks and methods for use in forensic science to produce accurate and reliable results to aid investigation processes. The book also considers the challenges, developments, advancements, and emerging approaches of deep learning and machine learning. Covering key topics such as biometrics, augmented reality, and fraud investigation, this reference work is crucial for forensic scientists, law enforcement, computer scientists, researchers, scholars, academicians, practitioners, instructors, and students.
Editore: Engineering Science Reference, 2020
ISBN 10: 1799866904 ISBN 13: 9781799866909
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 339,67
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a critical examination of the latest advancements, developments, methods, systems, futuristic approaches, and algorithms for image analysis and addresses its challenges. The book highlight concepts, methods, and tools, including convolutional neura.
Editore: Engineering Science Reference, 2020
ISBN 10: 1799866904 ISBN 13: 9781799866909
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 422,72
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recent advancements in imaging techniques and image analysis has broadened the horizons for their applications in various domains. Image analysis has become an influential technique in medical image analysis, optical character recognition, geology, remote sensing, and more. However, analysis of images under constrained and unconstrained environments require efficient representation of the data and complex models for accurate interpretation and classification of data. Deep learning methods, with their hierarchical/multilayered architecture, allow the systems to learn complex mathematical models to provide improved performance in the required task. The Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments provides a critical examination of the latest advancements, developments, methods, systems, futuristic approaches, and algorithms for image analysis and addresses its challenges. Highlighting concepts, methods, and tools including convolutional neural networks, edge enhancement, image segmentation, machine learning, and image processing, the book is an essential and comprehensive reference work for engineers, academicians, researchers, and students.