Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks (Premier Reference Source: Advances in Digital Crime, Forensics, and Cyber Terrorism) - Hardcover

Hardcover

ISBN 10: 1668445581 ISBN 13: 9781668445587

Verlag: IGI Global, 2022

Inhaltsangabe

It is crucial that forensic science meets challenges such as identifying hidden patterns in data, validating results for accuracy, and understanding varying criminal activities in order to be authoritative so as to hold up justice and public safety. Artificial intelligence, with its potential subsets of machine learning and deep learning, has the potential to transform the domain of forensic science by handling diverse data, recognizing patterns, and analyzing, interpreting, and presenting results. Machine Learning and deep learning frameworks, with developed mathematical and computational tools, facilitate the investigators to provide reliable results. Further study on the potential uses of these technologies is required to better understand their benefits. Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks provides an outline of deep learning and machine learning frameworks and methods for use in forensic science to produce accurate and reliable results to aid investigation processes. The book also considers the challenges, developments, advancements, and emerging approaches of deep learning and machine learning. Covering key topics such as biometrics, augmented reality, and fraud investigation, this reference work is crucial for forensic scientists, law enforcement, computer scientists, researchers, scholars, academicians, practitioners, instructors, and students.

Über diesen Titel

Über die Autorin bzw. den Autor

Vijayalakshmi G. V. Mahesh received the B. E. degree in Electronics and Communication Engineering from Bangalore University, India, in 1999, the M.Tech. degree in Digital Communication and Networking from Visvesvaraya Technological University in 2005 and Ph.D degree from VIT, Vellore, India. Currently she is working as an Associate Professor at BMS Institute of Technology and Management, Bangalore. Her research interests include Machine Learning, Image Processing, Signal Processing, Artificial Intelligence and Pattern Recognition.

Details zur Ausgabe

• Verlag: IGI Global
• Erscheinungsdatum: 2022
• ISBN 10: 1668445581
• ISBN 13: 9781668445587
• Einband: Tapa dura
• Sprache: Englisch
• Anzahl der Seiten: 300
• Herausgeber: Raj Alex Noel Joseph, Mahesh Vijayalakshmi G. V., Nerssison Ruban
• Kontakt zum Hersteller: Nicht verfügbar