Zobrazeno 1 - 10
of 51
pro vyhledávání: '"C., Narendra Babu"'
Autor:
Indrani Hemantkumar, Sadhana Sanwatsarkar, M C Narendra Babu, Sarvjeet Kaur, Neeti Dogra, Sukhminder Jit Singh Bajwa
Publikováno v:
Indian Journal of Anaesthesia, Vol 67, Iss 1, Pp 139-145 (2023)
Teaching and learning in anaesthesia and critical care has traditionally included seminars, journal clubs and clinical teaching in the operation theatre. The aim has always been to ignite the spark of thinking and self-directed learning in the studen
Externí odkaz:
https://doaj.org/article/c74ac19f406c4f558fe826f2659cbe04
Publikováno v:
Big Data Mining and Analytics, Vol 4, Iss 4, Pp 279-297 (2021)
Data are crucial to the growth of e-commerce in today’s world of highly demanding hyper-personalized consumer experiences, which are collected using advanced web scraping technologies. However, core data extraction engines fail because they cannot
Externí odkaz:
https://doaj.org/article/a826c864be2d4aa081bc5069b7b2b972
Publikováno v:
PeerJ Computer Science, Vol 8, p e1100 (2022)
The exponential rise in social media via microblogging sites like Twitter has sparked curiosity in sentiment analysis that exploits user feedback towards a targeted product or service. Considering its significance in business intelligence and decisio
Externí odkaz:
https://doaj.org/article/da576b408b6b477c894fa2b4b63cd410
Autor:
M. J., Divya, M. C., Narendra Babu
Publikováno v:
Journal of Cardiovascular Disease Research (Journal of Cardiovascular Disease Research); 2024, Vol. 15 Issue 7, p1722-1732, 11p
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:13452-13462
Road traffic sensing is pivotal in all the imperative services offered by Intelligent Transportation Systems (ITS). Both static and probe based traffic sensing technologies aid in the acquisition of road traffic parameters, represented as spatio-temp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f266eda260a979457be7557bc499f319
https://doi.org/10.1109/tits.2021.3124613
https://doi.org/10.1109/tits.2021.3124613
On the domain aided performance boosting technique for deep predictive networks: A COVID-19 scenario
Publikováno v:
Intelligent Decision Technologies. 16:111-125
Deep learning models are one of the widely used techniques for forecasting time series data in various applications. It has already been established that the Recurrent Neural Networks (RNN) such as the Long Short-Term Memory (LSTM), Gated Recurrent U
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6402e0ad4ac7512f8cb876ce6966ba2
https://doi.org/10.3233/idt-200167
https://doi.org/10.3233/idt-200167
Publikováno v:
Indonesian Journal of Electrical Engineering and Informatics (IJEEI). 11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4adc2e6b5d84b2d66c67d4058cf7fe31
https://doi.org/10.52549/ijeei.v11i1.4381
https://doi.org/10.52549/ijeei.v11i1.4381
Autor:
Anuradha Yenkikar, C. Narendra Babu
Publikováno v:
2023 International Conference on Emerging Smart Computing and Informatics (ESCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14decc9682e58a1e7765a26de68da2d1
https://doi.org/10.1109/esci56872.2023.10099875
https://doi.org/10.1109/esci56872.2023.10099875
Autor:
Sudhir Kumar Patnaik, C. Narendra Babu
Publikováno v:
Web Intelligence. 19:169-190
Web data extraction has seen significant development in the last decade since its inception in the early nineties. It has evolved from a simple manual way of extracting data from web page and documents to automated extraction to an intelligent extrac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63ae3118642045d63ac547de42a51cc2
https://doi.org/10.3233/web-210465
https://doi.org/10.3233/web-210465
Publikováno v:
Big Data Mining and Analytics. 4:279-297
Data are crucial to the growth of e-commerce in today's world of highly demanding hyper-personalized consumer experiences, which are collected using advanced web scraping technologies. However, core data extraction engines fail because they cannot ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e545a86f50cc917bf8558b97ed03455
https://doi.org/10.26599/bdma.2021.9020012
https://doi.org/10.26599/bdma.2021.9020012