000			a
999			_c18217 _d18217
003			OSt
005			20221115120432.0
008			221115b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_919050 _aKomte, Ravindra
245			_aWomenviolences detection techniques using ICT: an review
250			_aVol.24(2), Mar-Apr
260			_aHaryana _bIOSR - International Organization of Scientific Research _c2022
300			_a42-48p.
520			_aThe 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	_94622 _aComputer Engineering
700			_919051 _aNimbhore, Sunil
773	0		_dGurgaon International Organization of Scientific Research (IOSR) _tIOSR Journal of Computer Engineering (IOSR-JCE) _x2278-8727
856			_uhttps://www.iosrjournals.org/iosr-jce/papers/Vol24-issue2/Ser-1/F2402014248.pdf _yClick here
942			_2ddc _cAR