Published by Engineering Science Reference, 2024
ISBN 10: 1668486873 ISBN 13: 9781668486870
Language: English
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Published by Engineering Science Reference, 2024
ISBN 10: 1668486873 ISBN 13: 9781668486870
Language: English
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Published by Engineering Science Reference, 2024
ISBN 10: 1668486873 ISBN 13: 9781668486870
Language: English
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Published by Engineering Science Reference, 2024
ISBN 10: 1668486873 ISBN 13: 9781668486870
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Engineering Science Reference, 2024
ISBN 10: 1668486873 ISBN 13: 9781668486870
Language: English
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Published by IGI Global, Hershey, PA, 2024
ISBN 10: 1668486873 ISBN 13: 9781668486870
Language: English
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Add to basketPaperback. Condition: new. Paperback. In the evolving landscape of Web3, the use of advanced machine learning, artificial intelligence, and cybersecurity transforms industries through theoretical exploration and practical application. The integration of advanced machine learning and AI techniques promises enhanced security protocols, predictive analytics, and adaptive defenses against the increasing number of cyber threats. However, these technological improvements also raise questions regarding privacy, transparency, and the ethical implications of AI-driven security measures. Advanced Machine Learning, AI, and Cybersecurity in Web3: Theoretical Knowledge and Practical Application explores theories and applications of improved technological techniques in Web 3.0. It addresses the challenges inherent to decentralization while harnessing the benefits offered by advances, thereby paving the way for a safer and more advanced digital era. Covering topics such as fraud detection, cryptocurrency, and data management, this book is a useful resource for computer engineers, financial institutions, security and IT professionals, business owners, researchers, scientists, and academicians. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Engineering Science Reference, 2024
ISBN 10: 1668486865 ISBN 13: 9781668486863
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Engineering Science Reference, 2024
ISBN 10: 1668486865 ISBN 13: 9781668486863
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Engineering Science Reference, 2024
ISBN 10: 1668486865 ISBN 13: 9781668486863
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Engineering Science Reference, 2024
ISBN 10: 1668486865 ISBN 13: 9781668486863
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Published by Engineering Science Reference, 2024
ISBN 10: 1668486865 ISBN 13: 9781668486863
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketHardcover. Condition: new. Hardcover. In the evolving landscape of Web3, the use of advanced machine learning, artificial intelligence, and cybersecurity transforms industries through theoretical exploration and practical application. The integration of advanced machine learning and AI techniques promises enhanced security protocols, predictive analytics, and adaptive defenses against the increasing number of cyber threats. However, these technological improvements also raise questions regarding privacy, transparency, and the ethical implications of AI-driven security measures. Advanced Machine Learning, AI, and Cybersecurity in Web3: Theoretical Knowledge and Practical Application explores theories and applications of improved technological techniques in Web 3.0. It addresses the challenges inherent to decentralization while harnessing the benefits offered by advances, thereby paving the way for a safer and more advanced digital era. Covering topics such as fraud detection, cryptocurrency, and data management, this book is a useful resource for computer engineers, financial institutions, security and IT professionals, business owners, researchers, scientists, and academicians. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Add to basketTaschenbuch. Condition: Neu. Advanced Machine Learning, AI, and Cybersecurity in Web3 | Theoretical Knowledge and Practical Application | Hadj Ahmed Bouarara | Taschenbuch | Englisch | 2024 | IGI Global | EAN 9781668486870 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the evolving landscape of Web3, the use of advanced machine learning, artificial intelligence, and cybersecurity transforms industries through theoretical exploration and practical application. The integration of advanced machine learning and AI techniques promises enhanced security protocols, predictive analytics, and adaptive defenses against the increasing number of cyber threats. However, these technological improvements also raise questions regarding privacy, transparency, and the ethical implications of AI-driven security measures. Advanced Machine Learning, AI, and Cybersecurity in Web3: Theoretical Knowledge and Practical Application explores theories and applications of improved technological techniques in Web 3.0. It addresses the challenges inherent to decentralization while harnessing the benefits offered by advances, thereby paving the way for a safer and more advanced digital era. Covering topics such as fraud detection, cryptocurrency, and data management, this book is a useful resource for computer engineers, financial institutions, security and IT professionals, business owners, researchers, scientists, and academicians.
Seller: preigu, Osnabrück, Germany
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Add to basketBuch. Condition: Neu. Advanced Machine Learning, AI, and Cybersecurity in Web3 | Theoretical Knowledge and Practical Application | Hadj Ahmed Bouarara | Buch | Englisch | 2024 | IGI Global | EAN 9781668486863 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the evolving landscape of Web3, the use of advanced machine learning, artificial intelligence, and cybersecurity transforms industries through theoretical exploration and practical application. The integration of advanced machine learning and AI techniques promises enhanced security protocols, predictive analytics, and adaptive defenses against the increasing number of cyber threats. However, these technological improvements also raise questions regarding privacy, transparency, and the ethical implications of AI-driven security measures. Advanced Machine Learning, AI, and Cybersecurity in Web3: Theoretical Knowledge and Practical Application explores theories and applications of improved technological techniques in Web 3.0. It addresses the challenges inherent to decentralization while harnessing the benefits offered by advances, thereby paving the way for a safer and more advanced digital era. Covering topics such as fraud detection, cryptocurrency, and data management, this book is a useful resource for computer engineers, financial institutions, security and IT professionals, business owners, researchers, scientists, and academicians.