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Retrieval of Time of Death Basing on Forensic Entomology through Digital Imaging.

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Τίτλος: Retrieval of Time of Death Basing on Forensic Entomology through Digital Imaging.
Συγγραφείς: Sharmili, N., Roy, Mettu Sumender, Goud, Parameshwari M., Srinivasarao, Yerramsetti, Rajesh, M. V., Devi, N. Lakshmi, Devapogu, Kumar, Polamuri, Subba Rao
Πηγή: International Journal of Computer Information Systems & Industrial Management Applications; 2026 Supplement, Vol. 18, p45-56, 12p
Θεματικοί όροι: Time of death, Forensic entomology, Human skin color, Crime scene searches, Digital image processing, Sarcophagidae, Postmortem changes
Περίληψη: Digital investigation is one of innovative enhance in the field of forensic science. Investigating a crime scene is very crucial and challenging for both the police and investigating departments. As a novel solution for manual intervention, out research embellishes various studies and observations during the investigation. To digitize the investigations process, research motivated us biologically to present the simulation of various events present at the crime scene. The approach started with the bodily fluids, blood pooling, surface of the body lay down, oxidization after death,skin tones observed and finally Sarcophagid flies. As a part of our research we demonstrate different approaches on various models to compare the real world photographic examples. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Computer Information Systems & Industrial Management Applications is the property of Cerebration Science Publishing Co., Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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IllustrationInfo
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  Label: Title
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  Data: Retrieval of Time of Death Basing on Forensic Entomology through Digital Imaging.
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  Data: <searchLink fieldCode="AR" term="%22Sharmili%2C+N%2E%22">Sharmili, N.</searchLink><br /><searchLink fieldCode="AR" term="%22Roy%2C+Mettu+Sumender%22">Roy, Mettu Sumender</searchLink><br /><searchLink fieldCode="AR" term="%22Goud%2C+Parameshwari+M%2E%22">Goud, Parameshwari M.</searchLink><br /><searchLink fieldCode="AR" term="%22Srinivasarao%2C+Yerramsetti%22">Srinivasarao, Yerramsetti</searchLink><br /><searchLink fieldCode="AR" term="%22Rajesh%2C+M%2E+V%2E%22">Rajesh, M. V.</searchLink><br /><searchLink fieldCode="AR" term="%22Devi%2C+N%2E+Lakshmi%22">Devi, N. Lakshmi</searchLink><br /><searchLink fieldCode="AR" term="%22Devapogu%2C+Kumar%22">Devapogu, Kumar</searchLink><br /><searchLink fieldCode="AR" term="%22Polamuri%2C+Subba+Rao%22">Polamuri, Subba Rao</searchLink>
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  Data: International Journal of Computer Information Systems & Industrial Management Applications; 2026 Supplement, Vol. 18, p45-56, 12p
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Time+of+death%22">Time of death</searchLink><br /><searchLink fieldCode="DE" term="%22Forensic+entomology%22">Forensic entomology</searchLink><br /><searchLink fieldCode="DE" term="%22Human+skin+color%22">Human skin color</searchLink><br /><searchLink fieldCode="DE" term="%22Crime+scene+searches%22">Crime scene searches</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+image+processing%22">Digital image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Sarcophagidae%22">Sarcophagidae</searchLink><br /><searchLink fieldCode="DE" term="%22Postmortem+changes%22">Postmortem changes</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Digital investigation is one of innovative enhance in the field of forensic science. Investigating a crime scene is very crucial and challenging for both the police and investigating departments. As a novel solution for manual intervention, out research embellishes various studies and observations during the investigation. To digitize the investigations process, research motivated us biologically to present the simulation of various events present at the crime scene. The approach started with the bodily fluids, blood pooling, surface of the body lay down, oxidization after death,skin tones observed and finally Sarcophagid flies. As a part of our research we demonstrate different approaches on various models to compare the real world photographic examples. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Computer Information Systems & Industrial Management Applications is the property of Cerebration Science Publishing Co., Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=195477804
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.70917/ijcisim-2026-2674
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 45
    Subjects:
      – SubjectFull: Time of death
        Type: general
      – SubjectFull: Forensic entomology
        Type: general
      – SubjectFull: Human skin color
        Type: general
      – SubjectFull: Crime scene searches
        Type: general
      – SubjectFull: Digital image processing
        Type: general
      – SubjectFull: Sarcophagidae
        Type: general
      – SubjectFull: Postmortem changes
        Type: general
    Titles:
      – TitleFull: Retrieval of Time of Death Basing on Forensic Entomology through Digital Imaging.
        Type: main
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    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Sharmili, N.
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            NameFull: Roy, Mettu Sumender
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            NameFull: Goud, Parameshwari M.
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            NameFull: Srinivasarao, Yerramsetti
      – PersonEntity:
          Name:
            NameFull: Rajesh, M. V.
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            NameFull: Devi, N. Lakshmi
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            NameFull: Devapogu, Kumar
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            NameFull: Polamuri, Subba Rao
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            – D: 05
              M: 01
              Text: 2026 Supplement
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 21507988
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            – Type: volume
              Value: 18
          Titles:
            – TitleFull: International Journal of Computer Information Systems & Industrial Management Applications
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