Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Jerline Sheebha, Anni"'
Autor:
Noorul Husna Abd Rahman, Khairunnisa Hasikin, Nasrul Anuar Abd Razak, Ayman Khallel Al-Ani, D. Jerline Sheebha Anni, Prabu Mohandas
Publikováno v:
IEEE Access, Vol 11, Pp 93160-93179 (2023)
Medical device failure and maintenance records are essential information, as some nations lack dedicated systems for capturing this valuable data. In addition to making healthcare more intelligent and individualized, machine learning has the potentia
Externí odkaz:
https://doaj.org/article/f1884e9a698b4007ba249eda4569f421
Publikováno v:
In Computer Communications 15 March 2020 154:347-360
Publikováno v:
In Sustainable Cities and Society July 2019 48
Autor:
Prabu Mohandas, Jerline Sheebha Anni, Khairunnisa Hasikin, Dhayalan Velauthapillai, Veena Raj, Thanihaichelvan Murugathas, Muhammad Mokhzaini Azizan, Rajkumar Thanasekaran
Publikováno v:
Applied Sciences, Vol 12, Iss 20, p 10653 (2022)
Barking is a form of vocal communication made by dogs. Each type of bark made by dogs has a distinct context. The classification of dog bark pattern will aid in the understanding of barking action. In this study, a machine learning algorithm is used
Externí odkaz:
https://doaj.org/article/1c66d7241bec4f96b020f44b7877d203
Autor:
Dhanaraj, Jerline Sheebha Anni1 (AUTHOR) jerlineresearch@gmail.com, Kumar Sangaiah, Arun1 (AUTHOR)
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. Aug2021, Vol. 33 Issue 4, p561-576. 16p.
Autor:
Prabu Mohandas, M. M. Azizan, Rajkumar Thanasekaran, Jerline Sheebha Anni, Khairunnisa Hasikin
Publikováno v:
Wireless Communications and Mobile Computing, Vol 2021 (2021)
Object detection in images and videos has become an important task in computer vision. It has been a challenging task due to misclassification and localization errors. The proposed approach explored the feasibility of automated detection and tracking
Autor:
D. Jerline Sheebha Anni, Nesrudheen V P, Nihal Abdulla, Noor Nihara, Shahana Sherin Amiyan Kurikkal
Publikováno v:
2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC).
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. 33:561-576
Elephant entry in human settlements causes a major threat to human–elephant conflict (HEC), but the rapid detection thereof while crossing boundary remains a difficult role, due to the lack of nece...
Forest border crossing animals creates major societal related issues, in addition to endangering their own lives. This is the objective focused in this paper targeting the species “The Elephant”, incorporating with technical methodologies namely,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90bb7b990f2b1ca5558092695d1e5767
http://hdl.handle.net/11367/87817
http://hdl.handle.net/11367/87817