Womenviolences detection techniques using ICT: an review (Record no. 18217)
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| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20221115120432.0 |
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| fixed length control field | 221115b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 19050 |
| Author | Komte, Ravindra |
| 245 ## - TITLE STATEMENT | |
| Title | Womenviolences detection techniques using ICT: an review |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol.24(2), Mar-Apr |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Haryana |
| Name of publisher, distributor, etc. | IOSR - International Organization of Scientific Research |
| Year | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 42-48p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The rapid growth of Women's violence to monitor human activity demands such a system that recognizes the violence and suspicious events automatically. Abnormal and violent action detection has become an active research area of computer vision and image processing to attract new researchers. The relevant literature presents different techniques for the detection and study of such activities from the tag-based image retrieval system proposed in recent years. This research study reviews various state-of-the-art techniques of violence study. Here propose the detection and recognition system of Women's violence and how image tag retrieval is useful for that. The survey shows the system is useful. While the profusion of visual content available on the Internet, and the easy access to such content by all users allows us to find relevant content quickly, it also poses challenges. This paper attempts to address this issue by building models using modern data mining techniques namely classification trees and random forests to predict the vulnerability of ever-married women of age 15 to 40 years to domestic violence incidents in India. Violence is a complicated issue that has harmful physical and nonphysical consequences. In this article, we are particularly investigating violence in intimate partner relationships among homeless youth. This phenomenon has many contributing factors thus it would be useful to know which of these variables have a more important role in determining how violent a person can be and also have the means to predict the chance of perpetration for a new person. The study of past crime data can help us in analyzing crime patterns and important hidden relations between the crimes. So, the crimes predicting model can be simulated which will study verified past criminal records and predict future criminal activities. In the recent past, there has been an increased interest in time series research. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4622 |
| Topical term or geographic name entry element | Computer Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 19051 |
| Co-Author | Nimbhore, Sunil |
| 773 0# - HOST ITEM ENTRY | |
| Place, publisher, and date of publication | Gurgaon International Organization of Scientific Research (IOSR) |
| Title | IOSR Journal of Computer Engineering (IOSR-JCE) |
| International Standard Serial Number | 2278-8727 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | https://www.iosrjournals.org/iosr-jce/papers/Vol24-issue2/Ser-1/F2402014248.pdf |
| Link text | Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| School of Engineering & Technology | School of Engineering & Technology | Archieval Section | 2022-11-15 | 2022-2084 | 2022-11-15 | 2022-11-15 | Articles Abstract Database |