Artificial Intelligence in a Throughput Model
CRC Press (Verlag)
978-0-367-50746-6 (ISBN)
This book provides an overview of the existing biometric technologies, decision-making algorithms and the growth opportunity in biometrics. The book proposes a throughput model, which draws on computer science, economics and psychology to model perceptual, informational sources, judgmental processes and decision choice algorithms. It reviews how biometrics might be applied to reduce risks to individuals and organizations, especially when dealing with digital-based media.
Waymond Rodgers is a CPA (inactive) and Chair Professor in the School of Business at the University of Hull, UK. In addition, he holds an accounting professorship at the University of Texas, El Paso (USA). Previously, he was a professor at University of California, Riverside and Irvine. His degrees are from Michigan State University (BA), University of Detroit-Mercy (MBA), University of Southern California (PhD in accounting information systems), and an experimental psychology post-doctorate from the University of Michigan. He is a Ford Foundation Fellow and received a Franklin Fellowship from the US State Department. His experiences include working as an auditor with Ernst & Young and PricewaterhouseCoopers, as well as a commercial loan officer with Union Bank.
Preface. Introduction to Artificial Intelligence and Biometrics Applications. Prelude to Artificial Intelligence: Decision Making Techniques. Artificial Intelligence Six Cognitive Driven Algorithms. Survey of Biometric Tools. Ethical Issues Addressed in Artificial Intelligence. Cyber Securities Issues: Fraud and Corruption. Artificial Intelligence and Biometrics Examples. Conclusions.
Erscheinungsdatum | 02.09.2021 |
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Zusatzinfo | 9 Tables, black and white; 7 Illustrations, color; 39 Illustrations, black and white |
Verlagsort | London |
Sprache | englisch |
Maße | 156 x 234 mm |
Gewicht | 453 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Technik ► Umwelttechnik / Biotechnologie | |
ISBN-10 | 0-367-50746-3 / 0367507463 |
ISBN-13 | 978-0-367-50746-6 / 9780367507466 |
Zustand | Neuware |
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