Artificial Intelligence in a Throughput Model: Some Major Algorithms
暫譯: 透過量模型的人工智慧:幾個主要演算法

Rodgers, Waymond

  • 出版商: CRC
  • 出版日期: 2021-12-13
  • 售價: $3,360
  • 貴賓價: 9.5$3,192
  • 語言: 英文
  • 頁數: 212
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367507463
  • ISBN-13: 9780367507466
  • 相關分類: 人工智慧Algorithms-data-structures
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Physical and behavioral biometric technologies such as fingerprinting, facial recognition, voice identification, etc. have enhanced the level of security substantially in recent years. Governments and corporates have employed these technologies to achieve better customer satisfaction. However, biometrics faces major challenges in reducing criminal, terrorist activities and electronic frauds, especially in choosing appropriate decision-making algorithms. To face this challenge, new developments have been made, that amalgamate biometrics with artificial intelligence (AI) in decision-making modeling. Advanced software algorithms of AI, processing information offered by biometric technology, achieve better results. This has led to growth in the biometrics technology industry, and is set to increase the security and internal control operations manifold.

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.

商品描述(中文翻譯)

生物特徵技術和行為生物特徵技術,如指紋識別、面部識別、聲音識別等,近年來顯著提升了安全性。政府和企業已經採用這些技術來提高客戶滿意度。然而,生物特徵技術在減少犯罪、恐怖活動和電子詐騙方面面臨重大挑戰,特別是在選擇適當的決策演算法方面。為了應對這一挑戰,已經有新的發展,將生物特徵技術與人工智慧(AI)結合在決策建模中。AI的先進軟體演算法處理生物特徵技術提供的信息,從而達到更好的結果。這促進了生物特徵技術產業的增長,並將大幅提升安全性和內部控制操作。

本書提供了現有生物特徵技術、決策演算法及生物特徵技術增長機會的概述。書中提出了一個吞吐量模型,該模型結合了計算機科學、經濟學和心理學,以建模感知、信息來源、判斷過程和決策選擇演算法。它回顧了生物特徵技術如何應用於減少個人和組織的風險,特別是在處理數位媒體時。

作者簡介

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​.

作者簡介(中文翻譯)

Waymond Rodgers 是英國赫爾大學商學院的註冊會計師(不活躍)及講座教授。此外,他還在美國德克薩斯州埃爾帕索大學擔任會計教授。他曾任教於加州大學河濱分校和爾灣分校。他的學位包括密西根州立大學(學士)、底特律梅西大學(碩士)、南加州大學(會計資訊系統博士),以及密西根大學的實驗心理學博士後研究。他是福特基金會的研究員,並獲得美國國務院的富蘭克林獎學金。他的經歷包括在安永會計師事務所和普華永道擔任審計師,以及在聯合銀行擔任商業貸款專員。