Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks

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Alex Noel Joseph Raj Vijayalakshmi G. V. Mahesh

Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks

Alex Noel Joseph Raj, Vijayalakshmi G. V. Mahesh, Ruban Nerssison , Ang Yu

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Hardback

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English

IGI Global
24 June 2022

Forensic science; Criminology: legal aspects; Computer science; Artificial intelligence

Summary
Details

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.

Edited by: Alex Noel Joseph Raj, Vijayalakshmi G. V. Mahesh, Ruban Nerssison, Ang Yu, Jennifer Gentry
Imprint: IGI Global
Country of Publication: United States
Dimensions: Height: 279mm, Width: 216mm,
Weight: 800g
ISBN: 9781668445587
ISBN 10: 1668445581
Pages: 335
Publication Date: 24 June 2022
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active