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Artificial Intelligence In Forensic Microbiology
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Book Synopsis Artificial intelligence in forensic microbiology by : Chen Li
Download or read book Artificial intelligence in forensic microbiology written by Chen Li and published by Frontiers Media SA. This book was released on 2023-05-02 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Artificial Intelligence (AI) in Forensic Sciences by : Zeno Geradts
Download or read book Artificial Intelligence (AI) in Forensic Sciences written by Zeno Geradts and published by John Wiley & Sons. This book was released on 2024-01-29 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARTIFICIAL INTELLIGENCE (AI) IN FORENSIC SCIENCES Foundational text for teaching and learning within the field of Artificial Intelligence (AI) as it applies to forensic science Artificial Intelligence (AI) in Forensic Sciences presents an overview of the state-of-the-art applications of Artificial Intelligence within Forensic Science, covering issues with validation and new crimes that use AI; issues with triage, preselection, identification, argumentation and explain ability; demonstrating uses of AI in forensic science; and providing discussions on bias when using AI. The text discusses the challenges for the legal presentation of AI data and interpretation and offers solutions to this problem while addressing broader practical and emerging issues in a growing area of interest in forensics. It builds on key developing areas of focus in academic and government research, providing an authoritative and well-researched perspective. Compiled by two highly qualified editors with significant experience in the field, and part of the Wiley — AAFS series ‘Forensic Science in Focus’, Artificial Intelligence (AI) in Forensic Sciences includes information on: Cyber IoT, fundamentals on AI in forensic science, speaker and facial comparison, and deepfake detection Digital-based evidence creation, 3D and AI, interoperability of standards, and forensic audio and speech analysis Text analysis, video and multimedia analytics, reliability, privacy, network forensics, intelligence operations, argumentation support in court, and case applications Identification of genetic markers, current state and federal legislation with regards to AI, and forensics and fingerprint analysis Providing comprehensive coverage of the subject, Artificial Intelligence (AI) in Forensic Sciences is an essential advanced text for final year undergraduates and master’s students in forensic science, as well as universities teaching forensics (police, IT security, digital science and engineering), forensic product vendors and governmental and cyber security agencies.
Book Synopsis Artificial Intelligence in Forensic Science by : Kavita Saini
Download or read book Artificial Intelligence in Forensic Science written by Kavita Saini and published by CRC Press. This book was released on 2024-08-26 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Forensic Science addresses the current and emerging opportunities being utilized to apply modern Artificial Intelligence (AI) technologies to current forensic and investigation practices. The book also showcases the increasing benefits of AI where and when it can be applied to various techniques and forensic disciplines. The increasing rate of sophisticated crimes has increased the opportunity and need for the forensic field to explore a variety of emerging technologies to counter criminals—and AI is no exception. There are many current investigative challenges that, with ingenuity and application, can be helped with the application of AI, especially in the digital forensic and cyber-crime arena. The book also explains many practical studies that have been carried out to test AI technologies in crime detection, uncovering evidence, and identifying perpetrators. In the last decade, the use of AI has become common in many fields and now is an ideal time to look at the various ways AI can be integrated into judicial, forensic, and criminal cases to better collect and analyze evidence, thereby improving outcomes.
Book Synopsis Forensic Microbiology by : David O. Carter
Download or read book Forensic Microbiology written by David O. Carter and published by John Wiley & Sons. This book was released on 2017-03-21 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forensic Microbiology focuses on newly emerging areas of microbiology relevant to medicolegal and criminal investigations: postmortem changes, establishing cause of death, estimating postmortem interval, and trace evidence analysis. Recent developments in sequencing technology allow researchers, and potentially practitioners, to examine microbial communities at unprecedented resolution and in multidisciplinary contexts. This detailed study of microbes facilitates the development of new forensic tools that use the structure and function of microbial communities as physical evidence. Chapters cover: Experiment design Data analysis Sample preservation The influence of microbes on results from autopsy, toxicology, and histology Decomposition ecology Trace evidence This diverse, rapidly evolving field of study has the potential to provide high quality microbial evidence which can be replicated across laboratories, providing spatial and temporal evidence which could be crucial in a broad range of investigative contexts. This book is intended as a resource for students, microbiologists, investigators, pathologists, and other forensic science professionals.
Book Synopsis Artificial Intelligence and Blockchain in Digital Forensics by : P. Karthikeyan
Download or read book Artificial Intelligence and Blockchain in Digital Forensics written by P. Karthikeyan and published by CRC Press. This book was released on 2023-02-06 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital forensics is the science of detecting evidence from digital media like a computer, smartphone, server, or network. It provides the forensic team with the most beneficial methods to solve confused digital-related cases. AI and blockchain can be applied to solve online predatory chat cases and photo forensics cases, provide network service evidence, custody of digital files in forensic medicine, and identify roots of data scavenging. The increased use of PCs and extensive use of internet access, have meant easy availability of hacking tools. Over the past two decades, improvements in the information technology landscape have made the collection, preservation, and analysis of digital evidence extremely important. The traditional tools for solving cybercrimes and preparing court cases are making investigations difficult. We can use AI and blockchain design frameworks to make the digital forensic process efficient and straightforward. AI features help determine the contents of a picture, detect spam email messages and recognize swatches of hard drives that could contain suspicious files. Blockchain-based lawful evidence management schemes can supervise the entire evidence flow of all of the court data. This book provides a wide-ranging overview of how AI and blockchain can be used to solve problems in digital forensics using advanced tools and applications available on the market.
Book Synopsis Artificial Intelligence in Microbiology: Scope and Challenges Volume 1 by :
Download or read book Artificial Intelligence in Microbiology: Scope and Challenges Volume 1 written by and published by Elsevier. This book was released on 2024-08-01 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, the field of microbiology is undergoing a revolutionary change due to the emergence of Artificial Intelligence (AI). AI is being used to analyze massive data in a predictable form, about the behavior of microorganisms, to solve microbial classification-related problems, exploring the interaction between microorganisms and the surrounding environment. It also helps to extract novel microbial metabolites which have been used in various fields like medical, food and agricultural industries. As the pace of innovation in Microbiology is accelerating, the use of AI in these industries will be beneficial. AI will not only show its extraordinary potential in expanding the market of antibiotics, food, and agriculture but also offer an eco-friendly, safer, and profitable solution to the respective industries. It would be challenging to search out specific features and discuss future research on AI in microbiology with a wide perspective. Uncovering extended functions of AI in Microbiology. Production and development of novel drug targets through AI. Challenges for using and selecting appropriate AI tools in health, agriculture and food sector
Book Synopsis Confluence of AI, Machine, and Deep Learning in Cyber Forensics by : Misra, Sanjay
Download or read book Confluence of AI, Machine, and Deep Learning in Cyber Forensics written by Misra, Sanjay and published by IGI Global. This book was released on 2020-12-18 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks by : Raj, Alex Noel Joseph
Download or read book Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks written by Raj, Alex Noel Joseph and published by IGI Global. This book was released on 2022-06-24 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Microbial Forensics by : Bruce Budowle
Download or read book Microbial Forensics written by Bruce Budowle and published by Elsevier. This book was released on 2005-05-26 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: Microbial Forensics describes the new and growing field of Microbial Forensics- the science that will help bring to justice criminals and terrorists who use biological material to cause harm. This book describes the foundation of the field of microbial forensics and will serve as a basic primer to initiate those scientists and officials that have an interest in the topic. It covers a variety of areas from forensic science, to microbiology, to epidemiology, to bioinformatics, and to legal issues. * Provides the real science beyond that displayed on TV and in the movies * Covers not only microbes but also the biology, chemistry, physics & computer science that is used for identification.* Of relevance Internationally to military, intelligence, law enforcement, agricultural, legal and environmental fields
Book Synopsis Technology in Forensic Science by : Deepak Rawtani
Download or read book Technology in Forensic Science written by Deepak Rawtani and published by John Wiley & Sons. This book was released on 2020-11-02 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book "Technology in Forensic Science" provides an integrated approach by reviewing the usage of modern forensic tools as well as the methods for interpretation of the results. Starting with best practices on sample taking, the book then reviews analytical methods such as high-resolution microscopy and chromatography, biometric approaches, and advanced sensor technology as well as emerging technologies such as nanotechnology and taggant technology. It concludes with an outlook to emerging methods such as AI-based approaches to forensic investigations.
Book Synopsis Explainable Artificial Intelligence for Digital Forensics by : Louise Kelly
Download or read book Explainable Artificial Intelligence for Digital Forensics written by Louise Kelly and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forensic analysis is typically a complex and time-consuming process requiring forensic investigators to collect and analyse different pieces of evidence to arrive at a solid recommendation. Our interest lies in forensic drug testing, where evidence comprises a multitude of experimentally obtained data from samples (e.g. hair or nails), occasionally combined with questionnaire data, with a goal of quantifying the likelihood of drug use. The availability of intelligent data-driven technologies can support holistic decision-making in such scenarios, but this needs to be done in a transparent fashion (as opposed to using black-box models). To this end, this book chapter investigates the opportunities and challenges of developing interactive and eXplainable Artificial Intelligence (XAI) systems to support digital forensics and automate the decision-making process to enable fast and reliable generation of evidence for the court of law. Relevant XAI techniques and their applications in forensic testing, including feature section, missing data handling, XAI for multi-criteria and interactive learning, are discussed in detail. A case study on a forensic science company is used to demonstrate the real challenges of forensic reporting and potential for making use of forensic data to pave the way for future research towards XAI-driven digital forensics.
Book Synopsis Basic Concepts and Recent Advances in Microbial Diversity, Taxonomy, Speciation and Evolution by : Suchitra Godbole
Download or read book Basic Concepts and Recent Advances in Microbial Diversity, Taxonomy, Speciation and Evolution written by Suchitra Godbole and published by Cambridge Scholars Publishing. This book was released on 2024-03-05 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book delves into the fundamental principles that underpin the classification and understanding of bacteria, from the basic concepts to the latest advances. This book encompasses numerous topics related to diversity, such as speciation and evolution of species, microbial diversity, and methods for estimating diversity and taxonomy of bacteria. The reader can gain valuable insights into the cutting-edge techniques used to identify and classify bacteria, such as genomics, metagenomics, and phylogenetic analysis. With expert contributions from leading scientists, this comprehensive guide offers a holistic view of the microbial world in the context of their role in global biodiversity, and explores the upcoming role of machine learning and artificial intelligence for exploration of bacterial diversity. For students and researchers in microbiology, genetics and biotechnology, this book is an essential resource for unravelling the mysteries of bacterial speciation, evolution, diversity, and taxonomy.
Book Synopsis Digital Forensics and Cyber Crime Investigation by : Ahmed A. Abd El-Latif
Download or read book Digital Forensics and Cyber Crime Investigation written by Ahmed A. Abd El-Latif and published by CRC Press. This book was released on 2024-10-07 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the ever-evolving landscape of digital forensics and cybercrime investigation, staying ahead with the latest advancements is not just advantageous—it’s imperative. Digital Forensics and Cyber Crime Investigation: Recent Advances and Future Directions serves as a crucial bridge, connecting the dots between the present knowledge base and the fast-paced developments in this dynamic field. Through a collection of meticulous research and expert insights, this book dissects various facets of digital forensics and cyber security, providing readers with a comprehensive look at current trends and future possibilities. Distinguished by its in-depth analysis and forward-looking perspective, this volume sets itself apart as an indispensable resource for those keen on navigating the complexities of securing the digital domain. Key features of this book include: Innovative Strategies for Web Application Security: Insights into Moving Target Defense (MTD) techniques Blockchain Applications in Smart Cities: An examination of how blockchain technology can fortify data security and trust Latest Developments in Digital Forensics: A thorough overview of cutting-edge techniques and methodologies Advancements in Intrusion Detection: The role of Convolutional Neural Networks (CNN) in enhancing network security Augmented Reality in Crime Scene Investigations: How AR technology is transforming forensic science Emerging Techniques for Data Protection: From chaotic watermarking in multimedia to deep learning models for forgery detection This book aims to serve as a beacon for practitioners, researchers, and students who are navigating the intricate world of digital forensics and cyber security. By offering a blend of recent advancements and speculative future directions, it not only enriches the reader’s understanding of the subject matter but also inspires innovative thinking and applications in the field. Whether you’re a seasoned investigator, an academic, or a technology enthusiast, Digital Forensics and Cyber Crime Investigation: Recent Advances and Future Directions promises to be a valuable addition to your collection, pushing the boundaries of what’s possible in digital forensics and beyond.
Book Synopsis Sensing and Artificial Intelligence Solutions for Food Manufacturing by : Daniel Hefft
Download or read book Sensing and Artificial Intelligence Solutions for Food Manufacturing written by Daniel Hefft and published by CRC Press. This book was released on 2023-03-31 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives readers a practical introduction into machine learning and sensing techniques, their design and ultimately specific applications that could improve food production. It shows how these sensing and computing systems are suitable for process implementation in food factories. This book starts by giving the reader an overview of the historic structures of food manufacturing standards and how they defined today’s manufacturing. It is followed by a topical introduction for professionals in the food industries in topics such as AI, machine learning, and neural networks. It also includes an explanation of the different sensor systems and their basic principles. It shows how these sensing and computing systems are suitable for process implementation in food factories and what types of sensing systems have already been proven to deliver benefit to the food manufacturing industries. The authors also discuss issues around food safety, labelling, and traceability and how sensing and AI can help to resolve issues. They also use case studies and specific examples that can show the benefit of such technologies compared to current approaches. This book is a practical introduction and handbook for students, food engineers, technologists and process engineers on the benefits and challenges around modern manufacturing systems following Industry 4.0 approaches.
Book Synopsis Oxford Handbook of Ethics of AI by : Markus D. Dubber
Download or read book Oxford Handbook of Ethics of AI written by Markus D. Dubber and published by Oxford University Press. This book was released on 2020-06-30 with total page 1000 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."
Book Synopsis Disaster Victim Identification in the 21st Century by : John A. Williams
Download or read book Disaster Victim Identification in the 21st Century written by John A. Williams and published by John Wiley & Sons. This book was released on 2022-04-14 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive examination of all critical aspects of Disaster Victim Identification (DVI) As the frequency of both natural and man-made mass fatality disasters increases worldwide, the establishment of clear standards and best practices within the field of Disaster Victim identification (DVI) is of vital importance. Whereas most countries assign jurisdiction to law enforcement agencies following Interpol guidelines, DVI is the responsibility of the medical examiner and coroner in the United States. Disaster Victim Identification in the 21st Century is the first book of its kind to directly address the needs of DVI practitioners in the United States, covering the full spectrum of DVI from traditional methods such as fingerprints, odontology, and anthropology to advanced DNA identification technology. Approaching DVI from three perspectives—academic, government, and private industry—this comprehensive volume examines the history and current state of the discipline, the ongoing formation of national standards, the various methods of human identification, and the key challenges and future of DVI. In-depth chapters are written by leaders in the field with personal experience in human identification and mass fatality events. Provides practitioners with practical guidance on planning and taking part in DVI based on current national standards and best practices Discusses continued improvement in both traditional and emerging DVI methods Includes non-region-specific case studies and recommendations that can be easily adapted for international use Examines ethical and legal considerations in DVI, including suggestions for standardizing the victim identification process Describes the critical role of the Victim Information Center (VIC) in providing the comparative information required to go beyond presumptive identifications Part of the American Association for Forensic Sciences (AAFS) series, Disaster Victim Identification in the 21st Century: A US Perspective is an indispensable resource for forensic scientists, disaster planners, policymakers, medical examiners and coroners, law enforcement and emergency personnel, and upper-level undergraduate and graduate students in forensic sciences and emergency management.
Book Synopsis Burnt Human Remains by : Sarah Ellingham
Download or read book Burnt Human Remains written by Sarah Ellingham and published by John Wiley & Sons. This book was released on 2023-05-31 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: BURNT HUMAN REMAINS An all-encompassing reference and guide designed for professionals involved in the forensic analysis of burnt remains Burnt Human Remains: Recovery, Analysis and Interpretation presents an in-depth multidisciplinary approach to the detection, recovery, analysis, and identification of thermally altered remains. Bridging the gap between research and practice, this invaluable one-stop reference provides detailed coverage of analytical techniques in forensic medicine and pathology, forensic anthropology, forensic odontology, and forensic chemistry and forensic biology. Contributions from a panel of expert authors review the newest findings in forensics research and discuss their applicability to forensic case work. Opening with a historical overview of the discipline, the book covers the search and recovery aspects of burnt human remains, medico-legal investigations, determination of the post mortem interval of burnt remains, structural changes of burnt bone and teeth, DNA extraction from burnt remains, and much more. Throughout the text, the authors emphasize the importance of understanding the changes undergone by bodies when subjected to fire for establishing identity, reconstructing the events leading up to incineration, and determining the cause and manner of death. Provides a systemic framework that integrates established forensic methods and state-of-the-art analytical approaches Describes different forensic analyses from the macroscopical, microscopical, biochemical, and molecular level Features international case studies of challenging individual cases as well as natural or man-made mass fatalities requiring the identification of incinerated remains Demonstrates how changes to the macro- and microstructure of burnt remains can reveal information about incineration conditions Discusses organizations and programs focused on developing standards and best practice for the recovery and analysis burnt remains Burnt Human Remains: Recovery, Analysis and Interpretation is an indispensable resource for all practitioners engaged in the interpretation of burned human tissue, including pathologists, forensic chemists, forensic biologists, forensic anthropologists, forensic odontologists, and archaeologists.