Forensic Intelligence And Deep Learning Solutions In Crime Investigation
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Forensic Intelligence And Deep Learning Solutions In Crime Investigation
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Author : Kaunert, Christian
language : en
Publisher: IGI Global
Release Date : 2025-02-28
Forensic Intelligence And Deep Learning Solutions In Crime Investigation written by Kaunert, Christian and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Computers categories.
The massive advancement in various sectors of technology including forensic science is no exception. Integration of deep learning (DL) and artificial intelligence (AI) in forensic intelligence plays a vital role in the transformational shift in the effective approach towards the investigation of crimes and solving criminal investigations with foolproof evidence. As crimes grow increasingly sophisticated, traditional investigative tactics may be inadequate to grapple with the complexities of transnational criminal organizations. DL uses scientific tools for the recognition of patterns, image and speech analysis, and predictive modeling among others which are necessary to help solve crimes. By studying fingerprints, behavioral profiling, and DNA in digital forensics, AI powered tools provide observations that were inconceivable before now. Forensic Intelligence and Deep Learning Solutions in Crime Investigation discusses the numerous potential applications of deep learning and AI in forensic science. It explores how deep learning algorithms and AI technologies transform the role that forensic scientists and investigators play by enabling them to efficiently process and analyze vast amounts of data with very high accuracy in a short duration. Covering topics such as forensic ballistics, evidence processing, and crime scene analysis, this book is an excellent resource for forensic scientists, investigators, law enforcement, criminal justice professionals, computer scientists, legal professionals, policy makers, professionals, researchers, scholars, academicians, and more.
Confluence Of Ai Machine And Deep Learning In Cyber Forensics
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Author : Misra, Sanjay
language : en
Publisher: IGI Global
Release Date : 2020-12-18
Confluence Of Ai Machine And Deep Learning In Cyber Forensics written by Misra, Sanjay and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-18 with Law categories.
Developing a knowledge model helps to formalize the difficult task of analyzing crime incidents in addition to preserving and presenting the digital evidence for legal processing. The use of data analytics techniques to collect evidence assists forensic investigators in following the standard set of forensic procedures, techniques, and methods used for evidence collection and extraction. Varieties of data sources and information can be uniquely identified, physically isolated from the crime scene, protected, stored, and transmitted for investigation using AI techniques. With such large volumes of forensic data being processed, different deep learning techniques may be employed. Confluence of AI, Machine, and Deep Learning in Cyber Forensics contains cutting-edge research on the latest AI techniques being used to design and build solutions that address prevailing issues in cyber forensics and that will support efficient and effective investigations. This book seeks to understand the value of the deep learning algorithm to handle evidence data as well as the usage of neural networks to analyze investigation data. Other themes that are explored include machine learning algorithms that allow machines to interact with the evidence, deep learning algorithms that can handle evidence acquisition and preservation, and techniques in both fields that allow for the analysis of huge amounts of data collected during a forensic investigation. This book is ideally intended for forensics experts, forensic investigators, cyber forensic practitioners, researchers, academicians, and students interested in cyber forensics, computer science and engineering, information technology, and electronics and communication.
Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals
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Author : Ruiz-Vanoye, Jorge A.
language : en
Publisher: IGI Global
Release Date : 2025-03-07
Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals written by Ruiz-Vanoye, Jorge A. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-07 with Computers categories.
Achieving the United Nations' Sustainable Development Goals (SDGs) requires innovative solutions that address global challenges such as climate change, poverty, and social inequality. Artificial intelligence (AI), machine learning, and data-driven technologies offer transformative potential by optimizing resource management, improving healthcare outcomes, and enhancing decision-making processes. However, integrating AI into sustainable development efforts presents ethical, technical, and policy-related challenges that must be carefully navigated. A multidisciplinary approach is essential to ensure these technologies are applied inclusively and responsibly, maximizing their positive societal impact. Machine and Deep Learning Solutions for Achieving the Sustainable Development Goals enhances understanding and application of machine learning, deep learning, data mining and AI technologies in the context of the SDGs. It fills the gap by linking theory and practice and addresses both the opportunities and challenges inherent in this intersection. Covering topics such as demand side management, agricultural productivity, and smart manufacturing, this book is an excellent resource for engineers, computer scientists, practitioners, policymakers, professionals, researchers, scholars, academicians, and more.
Metaverse And Digital Twins
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Author : Bhupinder Singh
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2025-08-04
Metaverse And Digital Twins written by Bhupinder Singh and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-04 with Computers categories.
This book covers innovative research topics on Metaverse, Digital Twins and Disease Screening and Precision medicines which represents the convergence of three significant technological trends, each with the potential to impact healthcare on its own. However, when combined, they could establish entirely novel avenues for delivering care, offering the potential to reduce costs significantly and greatly enhance patient outcomes. These trends include telepresence/telemedicine, the digital twin (DT), and blockchain. Telepresence refers to people's capacity to virtually be together despite physical distance. This can be achieved through virtual reality (VR, immersing the user entirely), augmented reality (AR, overlaying artificial images onto a real image), or other methods. Aside from VR and AR, distinguish two other metaverse types: lifelogging (capturing, storing, and sharing everyday experiences and information about objects and people) and the mirror world (reflecting the real world but integrating and providing external environment information). In the healthcare context, telepresence is predominantly utilized in telemedicine, which involves delivering medical services remotely.
Practical Strategies And Case Studies For Online Marketing 6 0
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Author : Wongmahesak, Kittisak
language : en
Publisher: IGI Global
Release Date : 2025-05-08
Practical Strategies And Case Studies For Online Marketing 6 0 written by Wongmahesak, Kittisak and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-08 with Business & Economics categories.
In today’s digital landscape staying ahead in online marketing demands more than just keeping up with trends. Marketers must master the new era of online marketing. Online marketing 6.0 represents a new era of marketing innovation by using AI, personalization, and new immersive experiences that redefine how brands connect with consumers. Through proven strategies and compelling case studies, industry leaders are leveraging the latest tools and platforms to drive growth, build loyalty, and create memorable digital experiences that resonate in a saturated market. Practical Strategies and Case Studies for Online Marketing 6.0 is a comprehensive collection of real-world examples showcasing the innovation in online marketing 6.0. It explores the evolving world of digital marketing, moving beyond the traditional tools into a more technology-based approach. This book not only shows the successful case studies but also the challenges faced in online marketing, highlighting the lessons learned and the adaptability required in this rapidly changing environment. This book covers topics such as AI, metaverse, and ethical and sustainable marketing practices and is a useful resource for marketing managers, digital marketing specialists, entrepreneurs, business owners, and marketing students.
Machine Learning Forensics For Law Enforcement Security And Intelligence
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Author : Jesus Mena
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Machine Learning Forensics For Law Enforcement Security And Intelligence written by Jesus Mena and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Computers categories.
Increasingly, crimes and fraud are digital in nature, occurring at breakneck speed and encompassing large volumes of data. To combat this unlawful activity, knowledge about the use of machine learning technology and software is critical. Machine Learning Forensics for Law Enforcement, Security, and Intelligence integrates an assortment of deductive
Integrating Artificial Intelligence In Cybersecurity And Forensic Practices
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Author : Omar, Marwan
language : en
Publisher: IGI Global
Release Date : 2024-12-06
Integrating Artificial Intelligence In Cybersecurity And Forensic Practices written by Omar, Marwan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Computers categories.
The exponential rise in digital transformation has brought unprecedented advances and complexities in cybersecurity and forensic practices. As cyber threats become increasingly sophisticated, traditional security measures alone are no longer sufficient to counter the dynamic landscape of cyber-attacks, data breaches, and digital fraud. The emergence of Artificial Intelligence (AI) has introduced powerful tools to enhance detection, response, and prevention capabilities in cybersecurity, providing a proactive approach to identifying potential threats and securing digital environments. In parallel, AI is transforming digital forensic practices by automating evidence collection, enhancing data analysis accuracy, and enabling faster incident response times. From anomaly detection and pattern recognition to predictive modeling, AI applications in cybersecurity and forensics hold immense promise for creating robust, adaptive defenses and ensuring timely investigation of cyber incidents. Integrating Artificial Intelligence in Cybersecurity and Forensic Practices explores the evolving role of AI in cybersecurity and forensic science. It delves into key AI techniques, discussing their applications, benefits, and challenges in tackling modern cyber threats and forensic investigations. Covering topics such as automation, deep neural networks, and traffic analysis, this book is an excellent resource for professionals, researchers, students, IT security managers, threat analysts, digital forensic investigators, and more.
Aiding Forensic Investigation Through Deep Learning And Machine Learning Frameworks
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Author : Raj, Alex Noel Joseph
language : en
Publisher: IGI Global
Release Date : 2022-06-24
Aiding Forensic Investigation Through Deep Learning And Machine Learning Frameworks written by Raj, Alex Noel Joseph and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-24 with Law categories.
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.
Applications Of Computational Intelligence In Multi Disciplinary Research
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Author : Ahmed A. Elngar
language : en
Publisher: Academic Press
Release Date : 2022-02-14
Applications Of Computational Intelligence In Multi Disciplinary Research written by Ahmed A. Elngar and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-14 with Science categories.
Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts, and algorithms of computational intelligence to a wide spectrum of research cases. The book covers the main approaches used in computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods, all of which can be collectively viewed as soft computing. Other key approaches included are swarm intelligence and artificial immune systems. These approaches provide researchers with powerful tools for analysis and problem-solving when data is incomplete and when the problem under consideration is too complex for standard mathematics and the crisp logic approach of Boolean computing. - Provides an overview of the key methods of computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods - Includes case studies and real-world examples of computational intelligence applied in a variety of research topics, including bioinformatics, biomedical engineering, big data analytics, information security, signal processing, machine learning, nanotechnology, and optimization techniques - Presents a thorough technical explanation on how computational intelligence is applied that is suitable for a wide range of multidisciplinary and interdisciplinary research
Digital Image Forensics
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Author : Aniket Roy
language : en
Publisher: Springer
Release Date : 2019-05-13
Digital Image Forensics written by Aniket Roy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-13 with Technology & Engineering categories.
This book discusses blind investigation and recovery of digital evidence left behind on digital devices, primarily for the purpose of tracing cybercrime sources and criminals. It presents an overview of the challenges of digital image forensics, with a specific focus on two of the most common forensic problems. The first part of the book addresses image source investigation, which involves mapping an image back to its camera source to facilitate investigating and tracing the source of a crime. The second part of the book focuses on image-forgery detection, primarily focusing on “copy-move forgery” in digital images, and presenting effective solutions to copy-move forgery detection with an emphasis on additional related challenges such as blur-invariance, similar genuine object identification, etc. The book concludes with future research directions, including counter forensics. With the necessary mathematical information in every chapter, the book serves as a useful reference resource for researchers and professionals alike. In addition, it can also be used as a supplementary text for upper-undergraduate and graduate-level courses on “Digital Image Processing”, “Information Security”, “Machine Learning”, “Computer Vision” and “Multimedia Security and Forensics”.