Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Tanmay Garg"'
Publikováno v:
AI, Vol 1, Iss 4, Pp 586-606 (2020)
To judge the ability of convolutional neural networks (CNNs) to effectively and efficiently transfer image representations learned on the ImageNet dataset to the task of recognizing COVID-19 in this work, we propose and analyze four approaches. For t
Externí odkaz:
https://doaj.org/article/6884860a3439448797a7b4505576b01a
Publikováno v:
IEEE Transactions on Computational Social Systems. :1-10
Hate speech in social media is a growing phenomenon, and detecting such toxic content has recently gained significant traction in the research community. Existing studies have explored fine-tuning language models (LMs) to perform hate speech detectio
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9783031161773
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41f1371aeeee4da56999c606d86b7480
https://doi.org/10.1007/978-3-031-16178-0_2
https://doi.org/10.1007/978-3-031-16178-0_2
Publikováno v:
2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA).
Publikováno v:
AI, Vol 1, Iss 34, Pp 586-606 (2020)
AI
Volume 1
Issue 4
Pages 34-606
AI
Volume 1
Issue 4
Pages 34-606
To judge the ability of convolutional neural networks (CNNs) to effectively and efficiently transfer image representations learned on the ImageNet dataset to the task of recognizing COVID-19 in this work, we propose and analyze four approaches. For t
Autor:
Lubna Muzamil Rehman, Vibhor Mittal, Tanmay Garg, Vaibhav Sridhar, Anirban Roy, Tushar Damani
Publikováno v:
SSRN Electronic Journal.
The recent advances in Salinity energy technologies have opened new avenues for research in the water-science sector. New and efficient desalination technologies in conjunction with energy-recovery processes, are the need of the hour. A clear underst
Autor:
SHAHBAZI, NIMA1 nshahb3@uic.edu, YIN LIN2 irenelin@umich.edu, ASUDEH, ABOLFAZL1 asudeh@uic.edu, JAGADISH, H. V.2 jag@umich.edu
Publikováno v:
ACM Computing Surveys. 2023 Suppl13s, Vol. 55, p1-39. 39p.
Autor:
GARG, TANMAY1 tanmay17061@iiitd.ac.in, MASUD, SARAH1 sarahm@iiitd.ac.in, SURESH, THARUN1 tharun20119@iiitd.ac.in, CHAKRABORTY, TANMOY1 tanchak@iiitd.ac.in
Publikováno v:
ACM Computing Surveys. 2023 Suppl13s, Vol. 55, p1-32. 32p.
Convergence of Cloud Computing, AI, and Agricultural Science explores the transformative potential of integrating cutting-edge technologies into the field of agriculture. With the rapid advancements in cloud computing, Artificial Intelligence (AI), a
Autor:
Rajiv Misra, Nishtha Kesswani, Muttukrishnan Rajarajan, Bharadwaj Veeravalli, Imene Brigui, Ashok Patel, T. N. Singh
With the intriguing development of technologies in several industries along with the advent of accrescent and ubiquitous computational resources, it creates an ample number of opportunities to develop innovative intelligence technologies in order to