Technologies to Advance Automation in Forensic Science and Criminal Investigation

Chung-Hao Chen

ISBN 10: 1799883868 / ISBN 13: 9781799883869

Edité par Information Science Reference, 2021

A propos de cet article

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

N° de réf. du vendeur 9781799883869

Détails bibliographiques

• Titre: Technologies to Advance Automation in Forensic Science and Criminal Investigation
• Éditeur: Information Science Reference
• Date de parution: 2021
• Langue: anglais
• ISBN à 10 chiffres: 1799883868
• ISBN à 13 chiffres: 9781799883869
• Reliure: Buch
• État de l'article: Neu

A propos de ce titre

Synopsis

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.

À propos de l?auteur

Chung-Hao Chen, Old Dominion University, USA

Wen-Cao Yang, National Central Police University, Taiwan

Lijian Chen, Henan University, China