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Handbook of Research on Real-Time Applications of Machine Learning in Cyber-Physical Systems (Advances in Computational Intelligence and Robotics) - Hardcover
Synopsis
This book highlights the financial community's realization regarding the failure of corporate communication required for forensic professionals. This has led to structural weaknesses in areas such as flawed internal controls, poor corporate governance, and fraudulent financial statements. A vital need exists for the development of forensic accounting techniques, a reduction in external auditor deficiencies in fraud detection, and the use of cloud forensic audit to enhance corporate efficiency in fraud detection.
This book discusses forensic accounting techniques and explores how forensic accountants add value while investigating claims & fraud. It will also highlight the corporate benefits of forensic accounting audit and the acceptance of this evidence in the court of law. The chapters will ultimately show the significance of forensic accounting audits and how research has developed in the field. By researching new ways, techniques, and methods for minimizing corporate damages, society can be greatly benefitted.
"synopsis" may belong to another edition of this title.
About the Author
Balamurugan Easwaran, College of Business Administration, Department of Accounting and Finance, A' Sharqiyah University, Oman
Kamal Kant Hiran, Sir Padampat Singhania University, India
Sangeetha Krishnan, University of Africa, Toru-Orua, Nigeria
Ruchi Doshi, Azteca University, Mexico
"About this title" may belong to another edition of this title.
- PublisherBusiness Science Reference
- Publication date2022
- ISBN 10 1799893081
- ISBN 13 9781799893080
- BindingHardcover
- LanguageEnglish
- Number of pages400
- EditorEaswaran Balamurugan, Vieira Elisabete S., Madaleno Mara, Azevedo Graça
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Real-time Applications of Machine Learning in Cyber-physical Systems (Advances in Computational Intelligence and Robotics)
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Engineering Science Reference, 2022
ISBN 10: 1799893081
ISBN 13: 9781799893080
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Handbook of Research on Real-Time Applications of Machine Learning in Cyber-Physical Systems
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Handbook of Research on Real-Time Applications of Machine Learning in Cyber-Physical Systems
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Real-Time Applications of Machine Learning in Cyber-Physical Systems
Published by
Engineering Science Reference, 2022
ISBN 10: 1799893081
ISBN 13: 9781799893080
New
Hardcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses forensic accounting techniques and explores how forensic accountants add value while investigating claims of fraud. The book also highlights the corporate benefits of a forensic accounting audit and the acceptance of this evidence in a court of la. Seller Inventory # 635886193
Quantity: Over 20 available
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Real-Time Applications of Machine Learning in Cyber-Physical Systems
Published by
Engineering Science Reference, 2022
ISBN 10: 1799893081
ISBN 13: 9781799893080
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Technological advancements of recent decades have reshaped the way people socialize, work, learn, and ultimately live. The use of cyber-physical systems (CPS) specifically have helped people lead their lives with greater control and freedom. CPS domains have great societal significance, providing crucial assistance in industries ranging from security to healthcare. At the same time, machine learning (ML) algorithms are known for being substantially efficient, high performing, and have become a real standard due to greater accessibility, and now more than ever, multidisciplinary applications of ML for CPS have become a necessity to help uncover constructive solutions for real-world problems. Real-Time Applications of Machine Learning in Cyber-Physical Systems provides a relevant theoretical framework and the most recent empirical findings on various real-time applications of machine learning in cyber-physical systems. Covering topics like intrusion detection systems, predictive maintenance, and seizure prediction, this book is an essential resource for researchers, machine learning professionals, independent researchers, scholars, scientists, libraries, and academicians. Seller Inventory # 9781799893080
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