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Published by Bentham Science Publishers, 2023
ISBN 10: 9815196464 ISBN 13: 9789815196467
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Language: English
Published by Bentham Science Publishers, 2023
ISBN 10: 9815196464 ISBN 13: 9789815196467
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Language: English
Published by Bentham Science Publishers, 2023
ISBN 10: 9815196464 ISBN 13: 9789815196467
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Language: English
Published by Bentham Science Publishers, 2023
ISBN 10: 9815196464 ISBN 13: 9789815196467
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Language: English
Published by Bentham Science Publishers, 2023
ISBN 10: 9815196464 ISBN 13: 9789815196467
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Published by Amazon Digital Services LLC - Kdp, 2023
ISBN 10: 9815196464 ISBN 13: 9789815196467
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Taschenbuch. Condition: Neu. Neuware - This book explains different applications of supervised and unsupervised data engineering for working with multimedia objects. Throughout this book, the contributors highlight the use of Artificial Intelligence-based soft computing and machine techniques in the field of medical diagnosis, biometrics, networking, automation in vehicle manufacturing, data science and automation in electronics industries.
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Published by John Wiley & Sons Inc, New York, 2024
ISBN 10: 1119786347 ISBN 13: 9781119786344
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Hardcover. Condition: new. Hardcover. SUPERVISED and UNSUPERVISED DATA ENGINEERING for MULTIMEDIA DATA Explore the cutting-edge realms of data engineering in multimedia with Supervised and Unsupervised Data Engineering for Multimedia Data, where expert contributors delve into innovative methodologies, offering invaluable insights to empower both novices and seasoned professionals in mastering the art of manipulating multimedia data with precision and efficiency. Supervised and Unsupervised Data Engineering for Multimedia Data presents a groundbreaking exploration into the intricacies of handling multimedia data through the lenses of both supervised and unsupervised data engineering. Authored by a team of accomplished experts in the field, this comprehensive volume serves as a go-to resource for data scientists, computer scientists, and researchers seeking a profound understanding of cutting-edge methodologies. The book seamlessly integrates theoretical foundations with practical applications, offering a cohesive framework for navigating the complexities of multimedia data. Readers will delve into a spectrum of topics, including artificial intelligence, machine learning, and data analysis, all tailored to the challenges and opportunities presented by multimedia datasets. From foundational principles to advanced techniques, each chapter provides valuable insights, making this book an essential guide for academia and industry professionals alike. Whether youre a seasoned practitioner or a newcomer to the field, Supervised and Unsupervised Data Engineering for Multimedia Data illuminates the path toward mastery in manipulating and extracting meaningful insights from multimedia data in the modern age. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Language: English
Published by John Wiley & Sons Inc, New York, 2024
ISBN 10: 1119786347 ISBN 13: 9781119786344
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Hardcover. Condition: new. Hardcover. SUPERVISED and UNSUPERVISED DATA ENGINEERING for MULTIMEDIA DATA Explore the cutting-edge realms of data engineering in multimedia with Supervised and Unsupervised Data Engineering for Multimedia Data, where expert contributors delve into innovative methodologies, offering invaluable insights to empower both novices and seasoned professionals in mastering the art of manipulating multimedia data with precision and efficiency. Supervised and Unsupervised Data Engineering for Multimedia Data presents a groundbreaking exploration into the intricacies of handling multimedia data through the lenses of both supervised and unsupervised data engineering. Authored by a team of accomplished experts in the field, this comprehensive volume serves as a go-to resource for data scientists, computer scientists, and researchers seeking a profound understanding of cutting-edge methodologies. The book seamlessly integrates theoretical foundations with practical applications, offering a cohesive framework for navigating the complexities of multimedia data. Readers will delve into a spectrum of topics, including artificial intelligence, machine learning, and data analysis, all tailored to the challenges and opportunities presented by multimedia datasets. From foundational principles to advanced techniques, each chapter provides valuable insights, making this book an essential guide for academia and industry professionals alike. Whether youre a seasoned practitioner or a newcomer to the field, Supervised and Unsupervised Data Engineering for Multimedia Data illuminates the path toward mastery in manipulating and extracting meaningful insights from multimedia data in the modern age. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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First Edition
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Add to basketPaperback. Condition: New. Blockchain technology provided a buzz-seeking opportunity for all industries to implement improved corporate procedures and trust-building. Still, some industries, such as the banking sector, may view it as a disruptive technology that must be adopted. A transaction ledger's contents can be verified, maintained, and synchronized by community members using blockchain technology. A transaction can never be changed or removed from the blockchain; updates may only be made by participants in the system. Its distributed database cannot be manipulated, disrupted, or hacked in the same manner as conventional, user-controlled access systems and centralized databases. Building Secure Business Models Through Blockchain Technology: Tactics, Methods, Limitations, and Performance studies and explores the status of blockchain technology and, through the latest technology, builds business models to secure the future direction in the field of business. This book discusses the tactics and methods, as well as their limitations and performance. Covering topics such as AI-based efficient models, digital technology and services, and financial trading, this premier reference source is a valuable resource for business leaders and managers, IT managers, students and educators of higher education, entrepreneurs, government officials, librarians, researchers, and academicians.
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