10.46243/jst.2022.v7.i02.pp355-367 registered
Efficient Neural Network model for Cyber Crime Foreca
Resolves to https://www.jst.org.in/index.php/pub/article/view/533
Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2022.v7.i02.pp355-367
Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 e1bbcc007a08f454…
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What the DOI identifies
JournalArticle — an article in a journal · Digital · Visual · en
Efficient Neural Network model for Cyber Crime Foreca (PrincipalTitle)
Published 2022-07-03
Part of Journal of Science & Technology · ISSN 2456-5660 · volume 7 · issue 2 · pages 355–367
Agents
- Rajendar.T Rajendar.T (author)
- Longman Publishers (publisher)
Identifiers DOI 10.46243/jst.2022.v7.i02.pp355-367
Abstract
Depending on the gravity of the offence, a person who commits a crime faces legal repercussions from the state or other authorities, including jail time and fines. There has been an alarming rise in the number and variety of criminal acts, necessitating the creation by government agencies of effective techniques for taking preventive actions. Traditional crime-solving methods aren't cutting it in today's environment of rising crime since they're too slow and inefficient. If we can devise methods for accurately predicting crime before it occurs or create a "machine" that can aid police officers, it will relieve the pressure on law enforcement and help to reduce crime. Machine learning (ML) and computer vision techniques should be used to accomplish this. A few examples are presented in this work, and their outcomes compelled us to conduct further research in this area. As a result of these statistical insights, crime detection and prevention strategies have changed significantly. Using a mix of machine learning and computer vision, law enforcement agencies or authorities can detect, prevent, and solve crimes at a much faster and more accurate rate, according to the goal of this study. In a nutshell, machine learning and computer vision can revolutionise law enforcement
System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1
Each element by the standard's name (Annex B: reference elements, then administrative) and the Handbook's (in grey), read off the record above.
| Element | Value | In the record |
|---|---|---|
| DOI Name DOI name | 10.46243/jst.2022.v7.i02.pp355-367 | doi |
| Referent Type referentType | Creation | referent |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal | type |
| Referent Name(s) referentName(s) | Efficient Neural Network model for Cyber Crime Foreca (PrincipalTitle, en) | titles |
| Basic Metadata basicMetadata | author: Rajendar.T Rajendar.T publisher: Longman Publishers published: 2022-07-03 part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 7 · no. 2 · pp. 355–367 language: en form: Digital · Visual · Language | agents, dates, container, language, structural_type, modes, characters |
| Referent Identifier(s) alternateIdentifier(s) | none besides the DOI | identifiers, relations (IsSameAs) |
| Registration Authority registrationAuthorityCode | Crossref — issued by Crossref (member 25296); held here as a copy | record.source_agency (our code, ra_doi_name, for names issued here once appointed) |
| Created Date issueDate | 2024-02-16 | record.registered (when the DOI name was first registered) |
| relatedIdentifiers | none needed — the descriptive metadata is in this record | container, relations (only where the descriptive metadata lives at another identifier) |
complete Every System Metadata element is here, with the basic metadata a journal article needs.
The System Metadata Declaration (JSON) · the Kernel Metadata Declaration (XML) · what each sub-type needs
History — the ledger
Every change to this DOI, in order, as it was recorded. Entries are only ever added, never changed or removed.
| # | When | What | By | Changes |
|---|---|---|---|---|
| 1 | 29 Sep 2026, 10:00 PM | register registered at Crossref; record read from api.crossref.org | Administrator (admin) | 228 fields set · sha256 debf88aa7e75… |
| 2 | 29 Sep 2026, 11:59 PM | update record re-read from api.crossref.org | Administrator (admin) | container.titles.0.value: |
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