Zobrazeno 1 - 10
of 826
pro vyhledávání: '"Soman, K.P."'
Autor:
R Prabhu, Ram naresh, Das, Amrutha, Nair, Keerthana R, Ashok, Hridya, Subeesh, T., Krishnan Namboori, P.K., Karthikeyan, S., Soman, K.P., Murugadass, K.
Publikováno v:
In Optics and Laser Technology February 2025 181 Part A
Autor:
Theivaprakasham, Hari, Darshana, S., Ravi, Vinayakumar, Sowmya, V., Gopalakrishnan, E.A., Soman, K.P.
Publikováno v:
In Expert Systems With Applications 15 November 2022 206
Publikováno v:
In Procedia Computer Science 2020 171:737-744
Autor:
Vinayakumar R., Soman K.P.
Publikováno v:
ICT Express, Vol 6, Iss 1, Pp 16-19 (2020)
Primarily an adversary uses homoglyph or spoofing attack approach to obfuscate domain name, file name or process names. This approach facilitates to create domain name, file name or process names which look visually homogeneous to legitimate domain n
Externí odkaz:
https://doaj.org/article/650f5235da57421cb60dddecebcf8c39
Publikováno v:
In Engineering Science and Technology, an International Journal April 2019 22(2):637-645
Publikováno v:
Journal of Intelligent Systems, Vol 28, Iss 3, Pp 423-435 (2019)
The paper addresses the problem of part-of-speech (POS) tagging for Malayalam tweets. The conversational style of posts/tweets/text in social media data poses a challenge in using general POS tagset for tagging the text. For the current work, a tagse
Externí odkaz:
https://doaj.org/article/416d5b85ed7f48439b8fcff3fae6f10e
Publikováno v:
Journal of Intelligent Systems, Vol 28, Iss 3, Pp 387-398 (2019)
Introduction of deep neural networks to the machine translation research ameliorated conventional machine translation systems in multiple ways, specifically in terms of translation quality. The ability of deep neural networks to learn a sensible repr
Externí odkaz:
https://doaj.org/article/204e65505ed1443386d8a7cd7c0b8c33
Autor:
Vinayakumar R., Soman K.P.
Publikováno v:
ICT Express, Vol 4, Iss 4, Pp 255-258 (2018)
This paper primarily evaluates the efficacy of shallow and deep networks to statically detect malicious windows portable executable (PE) files. This uses recently released, labeled and benchmark data set, EMBER malware benchmark data set. As deep net
Externí odkaz:
https://doaj.org/article/01aa9c18d0d049798143ecdc57e70564
Publikováno v:
ICT Express, Vol 4, Iss 4, Pp 243-246 (2018)
Diabetes is a metabolic disease affecting a multitude of people worldwide. Its incidence rates are increasing alarmingly every year. If untreated, diabetes-related complications in many vital organs of the body may turn fatal. Early detection of diab
Externí odkaz:
https://doaj.org/article/c9aef9eaf271480aa39816d2cb3dba6f
Publikováno v:
Healthcare Technology Letters (2020)
Electrocardiogram (ECG) signal is one of the most reliable methods to analyse the cardiovascular system. In the literature, there are different deep learning architectures proposed to detect various types of tachycardia diseases, such as atrial fibri
Externí odkaz:
https://doaj.org/article/27377c1cfffc4f4a87e0b0f843963b8a