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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

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Handbook of Research on Real-Time Applications of Machine Learning in Cyber-Physical Systems (Hardcover) Loot Price: R7,372
Discovery Miles 73 720
Handbook of Research on Real-Time Applications of Machine Learning in Cyber-Physical Systems (Hardcover): Balamurugan Easwaran,...

Handbook of Research on Real-Time Applications of Machine Learning in Cyber-Physical Systems (Hardcover)

Balamurugan Easwaran, Elisabete S Vieira, Mara Madaleno, Graca Azevedo

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Loot Price R7,372 Discovery Miles 73 720 | Repayment Terms: R691 pm x 12*

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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.

General

Imprint: Business Science Reference
Country of origin: United States
Release date: March 2022
Editors: Balamurugan Easwaran • Elisabete S Vieira • Mara Madaleno • Graca Azevedo
Format: Hardcover
Pages: 400
ISBN-13: 978-1-79989-308-0
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 1-79989-308-1
Barcode: 9781799893080

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