Zobrazeno 1 - 10
of 3 268
pro vyhledávání: '"Pradeepa, A."'
Autor:
Boragolla, Rashmi, Yahampath, Pradeepa
Forward adaptive transform coding of images requires a codebook of transform matrices from which the best transform can be chosen for each macroblock. Codebook construction is a problem of designing a quantizer for Karhunen-L\'{o}eve transform (KLT)
Externí odkaz:
http://arxiv.org/abs/2407.07745
Autor:
Ranjit Mohan Anjana, Harish Ranjani, Ester Cerin, Muhammad Akram, Jo Salmon, Terry L. Conway, Kelli L. Cain, Rajendra Pradeepa, Anthony Barnett, Cindy H. P. Sit, Delfien Van Dyck, Adriano Akira Hino, Andreia Pizarro, Adewale L. Oyeyemi, Wan Abdul Manan Wan Muda, Mika R. Moran, Jens Troelsen, Josef Mitáš, M. Zakiul Islam, Ana Queralt, Viswanathan Mohan, Erica Hinckson, James F. Sallis
Publikováno v:
International Journal of Behavioral Nutrition and Physical Activity, Vol 21, Iss 1, Pp 1-17 (2024)
Abstract Background Understanding environmental correlates of sedentary behaviour (SB) among young people is important as such data can identify approaches to limit sedentary time. This paper estimates associations of parent-reported neighbourhood an
Externí odkaz:
https://doaj.org/article/3c309fdfa12a48fb8b548c4f5bb1b1db
Autor:
Pradeepa Sampath, Gurupriya Elangovan, Kaaveya Ravichandran, Vimal Shanmuganathan, Subbulakshmi Pasupathi, Tulika Chakrabarti, Prasun Chakrabarti, Martin Margala
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract This paper addresses the pressing issue of diabetes, which is a widespread condition affecting a huge population worldwide. As cells become less responsive to insulin or fail to produce it adequately, blood sugar levels rise. This has the po
Externí odkaz:
https://doaj.org/article/d42a78c98e454cdb93888fdad68fe94c
Autor:
R. Pradeepa, R. Jayaraman
Publikováno v:
Journal of Mechanics of Continua and Mathematical Sciences, Vol 19, Iss 8, Pp 120-130 (2024)
This study investigates the Atangana-Baleanu time-stochastic fractional neutral integro-differential equation, a complex mathematical model with broad applications in various scientific disciplines. Utilizing Banach's fixed point theory, we rigorousl
Externí odkaz:
https://doaj.org/article/9f004963ccc44832a6a6a5db714f7d18
Autor:
S. Pradeepa, Elizabeth Jomy, S. Vimal, Md. Mehedi Hassan, Gaurav Dhiman, Asif Karim, Dongwann Kang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Text classification plays a major role in research such as sentiment analysis, opinion mining, and customer feedback analysis. Text classification using hypergraph algorithms is effective in capturing the intricate relationships between word
Externí odkaz:
https://doaj.org/article/75c4549caf224408941a588047302eb1
Autor:
Dilmini, S. J., Rajapaksha, R. A. T. M., Lakmali, Erandika, Mandula, S. P. S., Delgasdeniya, D. D. G., Bandara, Pradeepa
Publikováno v:
International Journal of Engineering Applied Sciences and Technology, 2023, Vol 7, No 9, 34-39
An automated approach to identifying offenders in Sri Lanka would be better than the current system. Obtaining information from eyewitnesses is one of the less reliable approaches and procedures still in use today. Automated criminal identification h
Externí odkaz:
http://arxiv.org/abs/2302.10423
Autor:
Rashid, Aamir, Rasheed, Rizwana, Ngah, Abdul Hafaz, Pradeepa Jayaratne, Mahawattage Dona Ranmali, Rahi, Samar, Tunio, Muhammad Nawaz
Publikováno v:
Journal of Global Operations and Strategic Sourcing, 2024, Vol. 17, Issue 2, pp. 429-447.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JGOSS-12-2023-0106
Autor:
Sampath, Pradeepa1 (AUTHOR), Elangovan, Gurupriya2 (AUTHOR), Ravichandran, Kaaveya2 (AUTHOR), Shanmuganathan, Vimal3 (AUTHOR) svimalphd@gmail.com, Pasupathi, Subbulakshmi4 (AUTHOR), Chakrabarti, Tulika5 (AUTHOR), Chakrabarti, Prasun5 (AUTHOR), Margala, Martin6 (AUTHOR) martin.margala@louisiana.edu
Publikováno v:
Scientific Reports. 11/22/2024, Vol. 14 Issue 1, p1-15. 15p.
Autor:
Yoganathan, Pradeepa (AUTHOR), Hurley, Bernard (AUTHOR), Merkur, Andrew (AUTHOR), Andrews, Chad (AUTHOR), Pereira, Jennifer A (AUTHOR), Moniz, Larissa S (AUTHOR)
Publikováno v:
Clinical Ophthalmology. Oct2024, Vol. 18, p2951-2967. 17p.
Autor:
Lindamulage, Asiri, Kodagoda, Nuwan, Reyal, Shyam, Samarasinghe, Pradeepa, Yogarajah, Pratheepan
Publikováno v:
TENCON 2022 - 2022 IEEE Region 10 Conference (TENCON), Nov. 2022
Magnitude-based pruning is a technique used to optimise deep learning models for edge inference. We have achieved over 75% model size reduction with a higher accuracy than the original multi-output regression model for head-pose estimation.
Comm
Comm
Externí odkaz:
http://arxiv.org/abs/2302.00592