Technologies to Advance Automation in Forensic Science and Criminal Investigation

Technologies to Advance Automation in Forensic Science and Criminal Investigation

Chung-Hao Chen (Old Dominion University, USA), Wen-Chao Yang (National Central Police University, Taiwan) and Lijian Chen (Henan University, China)
Release Date: November, 2021|Copyright: © 2022 |Pages: 289
DOI: 10.4018/978-1-7998-8386-9
ISBN13: 9781799883869|ISBN10: 1799883868|EISBN13: 9781799883883|ISBN13 Softcover: 9781799883876
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Description & Coverage
Description:

Within modern forensic science and criminal investigation, experts face several challenges including managing huge amounts of data, handling miniscule pieces of evidence in a chaotic and complex environment, navigating traditional laboratory structures, and, sometimes, dealing with insufficient knowledge. These challenges must be overcome to avoid failure in investigation or miscarriage of justice.

Technologies to Advance Automation in Forensic Science and Criminal Investigation provides a platform for researchers to present state-of-the-art technologies within forensic science and criminal investigation. Covering topics such as financial fraud, machine learning, and source camera identification, this book is an essential reference for criminal investigators, justice departments, law enforcement, legislators, computer scientists, automation professionals, researchers, academicians, and students and educators in higher education.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Deep Learning
  • Environmental Forensics
  • Financial Fraud
  • Fire Investigations
  • Forensic Geochemistry
  • Forensic Geophysics
  • Forensic Remote Sensing
  • Forensic Sedimentology
  • Image Forgery Detection
  • Internet-of-Things Systems
  • Machine Learning
  • Organized Crimes
  • Source-Camera Identification
  • Terrorism
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