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Technologies to Advance Automation in Forensic Science and Criminal Investigation
Chung-Hao Chen
(Author)
·
Wen-Cao Yang
(Author)
·
Lijian Chen
(Author)
·
Information Science Reference
· Paperback
Technologies to Advance Automation in Forensic Science and Criminal Investigation - Chen, Chung-Hao ; Yang, Wen-Cao ; Chen, Lijian
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Origin: U.S.A.
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Synopsis "Technologies to Advance Automation in Forensic Science and Criminal Investigation"
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.