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£257 today · previous high £257 · all-time low £213

Real-Time Machine Learning in Cyber-Physical Systems Handbook

Amazon

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Description

This handbook examines the integration of machine learning within cyber-physical systems. It addresses the critical need for improved forensic accounting techniques to combat structural weaknesses like flawed internal controls and poor corporate governance. The text explores how fraudulent financial statements can be identified through advanced methods. Readers will find information regarding the reduction of external auditor deficiencies in fraud detection and the implementation of cloud forensic audits. This resource provides insights into enhancing corporate efficiency and strengthening the financial community's response to communication failures in forensic professional environments.

Key Features

Explores real-time applications of machine learning specifically for cyber-physical systems.

Discusses forensic accounting techniques to address flawed internal controls and governance.

Covers methods to reduce external auditor deficiencies in detecting fraudulent financial statements.

Examines the use of cloud forensic audits to improve corporate efficiency in fraud detection.

Provides research within the Advances in Computational Intelligence and Robotics series.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
11 March 2022
Listed Since
17 September 2021

Barcode

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