Zobrazeno 1 - 10
of 2 909
pro vyhledávání: '"P. Kumaresan"'
Publikováno v:
Journal of Acupuncture & Meridian Studies, Vol 17, Iss 1, Pp 38-43 (2024)
Background : Osteoarthritis of the knee (OAK) is a chronic degenerative musculoskeletal disorder that strongly affects the elderly population and decreases their quality of life. Pain, stiffness, and restricted knee movements are the major characteri
Externí odkaz:
https://doaj.org/article/33c4a083e4dc4fb6962399673ab8a25a
Publikováno v:
Vietnam Journal of Science, Technology and Engineering, Vol 65, Iss 4 (2023)
Pure thiourea barium chloride (TBC) crystals were synthesised using a slow cooling rate (0.05°C/day) and gradual evaporation from an aqueous solution. The growth process occurred over more than 19 days at a temperature of 39°C. Natural bond orbital
Externí odkaz:
https://doaj.org/article/696ae33282d54c6bb5306c93fcdb6a9e
Autor:
R. Prathap Chandran, P. Kumaresan
Publikováno v:
RUDN Journal of Studies in Literature and Journalism, Vol 27, Iss 4, Pp 716-725 (2022)
Gynocentrism exclusive focuses on women both as theory and practice. Anything can be considered gynocentric when it is concerned exclusively with a female point of view. The works of Langston Hughes, which reflect the intersection of races and gender
Externí odkaz:
https://doaj.org/article/4652b81897824eb19eb5d52c1d383d11
The widespread presence of hate speech on the internet, including formats such as text-based tweets and vision-language memes, poses a significant challenge to digital platform safety. Recent research has developed detection models tailored to specif
Externí odkaz:
http://arxiv.org/abs/2410.05600
Autor:
Hee, Ming Shan, Kumaresan, Aditi, Hoang, Nguyen Khoi, Prakash, Nirmalendu, Cao, Rui, Lee, Roy Ka-Wei
The rise of social media platforms has brought about a new digital culture called memes. Memes, which combine visuals and text, can strongly influence public opinions on social and cultural issues. As a result, people have become interested in catego
Externí odkaz:
http://arxiv.org/abs/2312.06094
Autor:
Kumaresan, Dhileeban, Wang, Richard, Martinez, Ernesto, Cziva, Richard, Todeschini, Alberto, Reed, Colorado J, Vahabi, Hossein
When cloud layers cover photovoltaic (PV) panels, the amount of power the panels produce fluctuates rapidly. Therefore, to maintain enough energy on a power grid to match demand, utilities companies rely on reserve power sources that typically come f
Externí odkaz:
http://arxiv.org/abs/2201.06173
Autor:
Chakravarthi, Bharathi Raja, Chinnappa, Dhivya, Priyadharshini, Ruba, Madasamy, Anand Kumar, Sivanesan, Sangeetha, Navaneethakrishnan, Subalalitha Chinnaudayar, Thavareesan, Sajeetha, Vadivel, Dhanalakshmi, Ponnusamy, Rahul, Kumaresan, Prasanna Kumar
With the fast growth of mobile computing and Web technologies, offensive language has become more prevalent on social networking platforms. Since offensive language identification in local languages is essential to moderate the social media content,
Externí odkaz:
http://arxiv.org/abs/2111.03375
Autor:
Christodorescu, Mihai, English, Erin, Gu, Wanyun Catherine, Kreissman, David, Kumaresan, Ranjit, Minaei, Mohsen, Raghuraman, Srinivasan, Sheffield, Cuy, Wijeyekoon, Arjuna, Zamani, Mahdi
With the innovation of distributed ledger technology (DLT), often known as blockchain technology, there has been significant growth of digital tokens in the form of cryptocurrencies, stablecoins, and central bank digital currencies. As the number of
Externí odkaz:
http://arxiv.org/abs/2109.12194
Autor:
Chakravarthi, Bharathi Raja, Priyadharshini, Ruba, Ponnusamy, Rahul, Kumaresan, Prasanna Kumar, Sampath, Kayalvizhi, Thenmozhi, Durairaj, Thangasamy, Sathiyaraj, Nallathambi, Rajendran, McCrae, John Phillip
The increased proliferation of abusive content on social media platforms has a negative impact on online users. The dread, dislike, discomfort, or mistrust of lesbian, gay, transgender or bisexual persons is defined as homophobia/transphobia. Homopho
Externí odkaz:
http://arxiv.org/abs/2109.00227
Autor:
Hande, Adeep, Hegde, Siddhanth U, Priyadharshini, Ruba, Ponnusamy, Rahul, Kumaresan, Prasanna Kumar, Thavareesan, Sajeetha, Chakravarthi, Bharathi Raja
To obtain extensive annotated data for under-resourced languages is challenging, so in this research, we have investigated whether it is beneficial to train models using multi-task learning. Sentiment analysis and offensive language identification sh
Externí odkaz:
http://arxiv.org/abs/2108.03867