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Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks (Hardcover) Loot Price: R6,724
Discovery Miles 67 240
Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks (Hardcover): Alex Noel Joseph Raj,...

Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks (Hardcover)

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

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Loot Price R6,724 Discovery Miles 67 240 | Repayment Terms: R630 pm x 12*

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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.

General

Imprint: IGI Global
Country of origin: United States
Release date: June 2022
First published: 2022
Editors: Alex Noel Joseph Raj • Vijayalakshmi G. V. Mahesh • Ruban Nerssison • Ang Yu • Jennifer Gentry
Dimensions: 279 x 216mm (L x W)
Format: Hardcover
Pages: 335
ISBN-13: 978-1-66844-558-7
Categories: Books > Law > Laws of other jurisdictions & general law > Criminal law
Books > Science & Mathematics > Science: general issues > Forensic science
Books > Computing & IT > General theory of computing > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 1-66844-558-1
Barcode: 9781668445587

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