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Technologies to Advance Automation in Forensic Science and Criminal Investigation

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Title: Technologies to Advance Automation in Forensic Science and Criminal Investigation
Description: Within modern forensic science and criminal investigation, experts face several challenges including managing huge amounts of data, handling miniscule pieces of evidence in a chaotic and complex environment, navigating traditional laboratory structures, and, sometimes, dealing with insufficient knowledge. These challenges must be overcome to avoid failure in investigation or miscarriage of justice. Technologies to Advance Automation in Forensic Science and Criminal Investigation provides a platform for researchers to present state-of-the-art technologies within forensic science and criminal investigation. Covering topics such as financial fraud, machine learning, and source camera identification, this book is an essential reference for criminal investigators, justice departments, law enforcement, legislators, computer scientists, automation professionals, researchers, academicians, and students and educators in higher education.
Authors: Chung-Hao Chen, Wen-Chao Yang, Lijia Chen
Resource Type: eBook.
Subjects: Digital forensic science, Electronics in criminal investigation, Criminal investigation--Technological aspects, Forensic sciences--Technological aspects, Electronic evidence
Categories: LAW / Forensic Science, TECHNOLOGY & ENGINEERING / Automation, COMPUTERS / Forensics
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
  – Type: ebook-epub
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 3072337
RelevancyScore: 1103
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1103.19409179688
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  Data: Technologies to Advance Automation in Forensic Science and Criminal Investigation
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  Data: Within modern forensic science and criminal investigation, experts face several challenges including managing huge amounts of data, handling miniscule pieces of evidence in a chaotic and complex environment, navigating traditional laboratory structures, and, sometimes, dealing with insufficient knowledge. These challenges must be overcome to avoid failure in investigation or miscarriage of justice. Technologies to Advance Automation in Forensic Science and Criminal Investigation provides a platform for researchers to present state-of-the-art technologies within forensic science and criminal investigation. Covering topics such as financial fraud, machine learning, and source camera identification, this book is an essential reference for criminal investigators, justice departments, law enforcement, legislators, computer scientists, automation professionals, researchers, academicians, and students and educators in higher education.
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  Data: <searchLink fieldCode="AR" term="%22Chung-Hao+Chen%22">Chung-Hao Chen</searchLink><br /><searchLink fieldCode="AR" term="%22Wen-Chao+Yang%22">Wen-Chao Yang</searchLink><br /><searchLink fieldCode="AR" term="%22Lijia+Chen%22">Lijia Chen</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Digital+forensic+science%22">Digital forensic science</searchLink><br /><searchLink fieldCode="DE" term="%22Electronics+in+criminal+investigation%22">Electronics in criminal investigation</searchLink><br /><searchLink fieldCode="DE" term="%22Criminal+investigation--Technological+aspects%22">Criminal investigation--Technological aspects</searchLink><br /><searchLink fieldCode="DE" term="%22Forensic+sciences--Technological+aspects%22">Forensic sciences--Technological aspects</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+evidence%22">Electronic evidence</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 363.25
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Digital forensic science
        Type: general
      – SubjectFull: Electronics in criminal investigation
        Type: general
      – SubjectFull: Criminal investigation--Technological aspects
        Type: general
      – SubjectFull: Forensic sciences--Technological aspects
        Type: general
      – SubjectFull: Electronic evidence
        Type: general
    Titles:
      – TitleFull: Technologies to Advance Automation in Forensic Science and Criminal Investigation
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Chung-Hao Chen
      – PersonEntity:
          Name:
            NameFull: Wen-Chao Yang
      – PersonEntity:
          Name:
            NameFull: Lijia Chen
      – PersonEntity:
          Name:
            NameFull: Chung-Hao Chen
      – PersonEntity:
          Name:
            NameFull: Wen-Chao Yang
      – PersonEntity:
          Name:
            NameFull: Lijia Chen
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2021
            – D: 25
              M: 10
              Type: profile
              Y: 2021
          Identifiers:
            – Type: isbn-print
              Value: 9781799883869
            – Type: isbn-electronic
              Value: 9781799883883
            – Type: isbn-electronic
              Value: 9781799883890
          Titles:
            – TitleFull: Technologies to Advance Automation in Forensic Science and Criminal Investigation
              Type: main
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