Author : Raj, Alex Noel Joseph,Mahesh, Vijayalakshmi G. V.,Nerssison, Ruban,Yu, Ang,Gentry, Jennifer
Publisher : IGI Global
Page : 293 pages
File Size : 48,9 Mb
Release : 2022-06-24
Category : Law
ISBN : 9781668445600
Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks by Raj, Alex Noel Joseph,Mahesh, Vijayalakshmi G. V.,Nerssison, Ruban,Yu, Ang,Gentry, Jennifer Pdf
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.