Zobrazeno 1 - 10
of 108
pro vyhledávání: '"J. Indumathi"'
Autor:
J. Indumathi, Achyut Shankar, Muhammad Rukunuddin Ghalib, J. Gitanjali, Qiaozhi Hua, Zheng Wen, Xin Qi
Publikováno v:
IEEE Access, Vol 8, Pp 216856-216872 (2020)
The most burning topic of today, calls for a holistic solution that is reliable, secure, privacy preserved, cost effective Cloud storage that can tide over the turbulent conditions of the rapidly budding digital storage technologies. This send an out
Externí odkaz:
https://doaj.org/article/bbc8d717878545d2ab50bf959b700c7c
Recent developments in parallel computing for various fields of application are providing improved solutions for handling data. These newer, innovative ideas offer the technical support necessary to enhance intellectual decisions, while also dealing
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 43:7023-7039
Text generation is one of the complex tasks associated with natural language processing. For efficient text generation, syntax and semantics of the language have to be considered to assign context to key phrases. The main objective of the proposed wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::945705300726e3361c578145102a3026
https://doi.org/10.3233/jifs-212271
https://doi.org/10.3233/jifs-212271
Publikováno v:
Neural Computing and Applications. 34:16945-16958
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::550b45e6472cd9a8625564f76022f410
https://doi.org/10.1007/s00521-022-07346-7
https://doi.org/10.1007/s00521-022-07346-7
Autor:
J Indumathi, V Kaliraj
Publikováno v:
Concurrent Engineering. 30:214-224
An Intelligent Transport System (ITS) model that is contingent on the compulsion and expertise of the Traffic Prediction System in the contemporary urban context is proposed in this paper. Deep Learning (DL) is computationally becoming comfortable to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd1632a3f12ee7233027b708ea854039
https://doi.org/10.1177/1063293x221094345
https://doi.org/10.1177/1063293x221094345
Autor:
P., Sowmya Reddy, Maheswarappa, Naveena B., Reddy, G. V. Bhaskar, J., Indumathi, G., Gangaraju, Banerjee, Rituparna, Mishra, Bidyut Prava, Belore, Balaji M., K. B., Priya, L., Judy
Publikováno v:
Journal of Meat Science; Dec2023, Vol. 18 Issue 2, p24-30, 7p
Publikováno v:
2023 Second International Conference on Electronics and Renewable Systems (ICEARS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0639a0701f86bb1cbd6aba0506b207a7
https://doi.org/10.1109/icears56392.2023.10085351
https://doi.org/10.1109/icears56392.2023.10085351
Publikováno v:
Advances in Parallel Computing Algorithms, Tools and Paradigms ISBN: 9781643683140
Deep learning has become a recent explosion in our everyday lives. Being one of the leading machine learning tools among various tools, deep learning contributes a lot to image analysis and the vision of the computer. This tool is considered enormous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e213d2a03d06199650d12750d45dd2c
https://doi.org/10.3233/apc220009
https://doi.org/10.3233/apc220009
Publikováno v:
Data & Knowledge Engineering. 146:102150
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc8a8a6c166fe1487de5313ebf4bd636
https://doi.org/10.1016/j.datak.2023.102150
https://doi.org/10.1016/j.datak.2023.102150
Autor:
Qiaozhi Hua, Muhammad Rukunuddin Ghalib, Zheng Wen, J. Indumathi, J. Gitanjali, Achyut Shankar, Xin Qi
Publikováno v:
IEEE Access, Vol 8, Pp 216856-216872 (2020)
The most burning topic of today, calls for a holistic solution that is reliable, secure, privacy preserved, cost effective Cloud storage that can tide over the turbulent conditions of the rapidly budding digital storage technologies. This send an out
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebcaae52ed0280b372933b18e1520b88
https://doi.org/10.1109/access.2020.3040240
https://doi.org/10.1109/access.2020.3040240