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pro vyhledávání: '"Khatavkar, Vaibhav"'
Captcha are widely used to secure systems from automatic responses by distinguishing computer responses from human responses. Text, audio, video, picture picture-based Optical Character Recognition (OCR) are used for creating captcha. Text-based OCR
Externí odkaz:
http://arxiv.org/abs/2402.05417
Autor:
Mane, Swapnil, Khatavkar, Vaibhav
Publikováno v:
International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 8, pp.150-157, 2021
The enormous use of sarcastic text in all forms of communication in social media will have a physiological effect on target users. Each user has a different approach to misusing and recognising sarcasm. Sarcasm detection is difficult even for users,
Externí odkaz:
http://arxiv.org/abs/2304.08582
Autor:
Mane, Swapnil, Khatavkar, Vaibhav
Sarcasm is an advanced linguistic expression often found on various online platforms. Sarcasm detection is challenging in natural language processing tasks that affect sentiment analysis. This article presents the inventive method of the semigraph, i
Externí odkaz:
http://arxiv.org/abs/2304.01424
Keyword extraction is a crucial process in text mining. The extraction of keywords with respective contextual events in Twitter data is a big challenge. The challenging issues are mainly because of the informality in the language used. The use of mis
Externí odkaz:
http://arxiv.org/abs/2304.01423
An Intrusion detection system (IDS) is essential for avoiding malicious activity. Mostly, IDS will be improved by machine learning approaches, but the model efficiency is degrading because of more headers (or features) present in the packet (each rec
Externí odkaz:
http://arxiv.org/abs/2304.01166
Akademický článek
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Akademický článek
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Publikováno v:
International Journal of Knowledge Engineering and Data Mining; 2022, Vol. 7 Issue: 1 p252-270, 19p
Autor:
Khatavkar, Vaibhav, Kulkarni, Parag
Publikováno v:
International Journal of Knowledge Based Computer Systems; 2019, Vol. 7 Issue 1, p1-9, 9p
Publikováno v:
Advances in Computer Science & Information Technology. Networks & Communications; 2012, p542-551, 10p