INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Abstract—Every day more than five hundred missing person complaints are approximated to go
unanswered in India. an organization called as find me group FMG that is currently active in the united
states led by former field experts is committed to solve the problems that lead to such scenarios. they
have introduced and made use of the missing person intelligence synthesis toolkit mist which adopts a
driven-data approach to the given problem. using the same approach and slightly building upon the
foundation provided by FMG we aim to tackle this problem by taking search locations on the basis of
the data on hand ranks and orders the locations based on the likelihood as well as the probability
allocated to the search areas based on the prior information and previous performances that are taken
individually as well as a group. we compared and contrasted our approach with the current practices
adopted by several organizations and entities and found that this method gives us a slight but significant
advantage over many of such approaches. it is worth noteworthy that it could actually reduce the search
area leading to a reduction of many square kilometres over several cases that were examined in the
conducted experiments. missing individual incidents have been on a steady rise in India for the past
many years. the major cause of many of these incidents never being solved the lack of timely reporting
of such cases and the lack of transparency of facts and information. and because of this sadly many of
those cases are never solved. the cases of human trafficking and homicides are other fields that can be
tackled by this approach as many of their attributes match.
Keywords:
Keywords –Missing Person Intelligence Synthesis Toolkit, KNN Classifier, FMG
Cite Article:
"LOCATING MISSING PERSONS USING ARTIFICIAL INTELLIGENCE", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.f321-f324, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304534.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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