Zobrazeno 1 - 10
of 1 432
pro vyhledávání: '"P VEERAMANI"'
Publikováno v:
The Indian Journal of Agricultural Sciences, Vol 94, Iss 8 (2024)
The experiment was conducted during 2019–23 at Tamil Nadu Rice Research Institute (Tamil Nadu Agricultural University, Coimbatore), Aduthurai, Tamil Nadu to analyse the effect of conservation tillage methods on bulk density, soil penetration resist
Externí odkaz:
https://doaj.org/article/597bd06ab8cb464988b38f434830f8e7
Publikováno v:
The Indian Journal of Agricultural Sciences, Vol 93, Iss 4 (2023)
A field experiment was conducted during post rainy seasons of 2015–16, 2016–17 and 2017–18 (December-March) at research farm of Tamil Nadu Rice Research Institute, Aduthurai, Tamil Nadu to study the impact of tillage practices adopted in the ri
Externí odkaz:
https://doaj.org/article/05381175df554ecc87391c991f4e752d
In the evolving landscape of Environmental, Social, and Corporate Governance (ESG) impact assessment, the ML-ESG-2 shared task proposes identifying ESG impact types. To address this challenge, we present a comprehensive system leveraging ensemble lea
Externí odkaz:
http://arxiv.org/abs/2402.10772
Autor:
Ding, Yifan, Poudel, Amrit, Zeng, Qingkai, Weninger, Tim, Veeramani, Balaji, Bhattacharya, Sanmitra
The ability of Large Language Models (LLMs) to generate factually correct output remains relatively unexplored due to the lack of fact-checking and knowledge grounding during training and inference. In this work, we aim to address this challenge thro
Externí odkaz:
http://arxiv.org/abs/2402.06738
Natural language understanding (NLU) using neural network pipelines often requires additional context that is not solely present in the input data. Through Prior research, it has been evident that NLU benchmarks are susceptible to manipulation by neu
Externí odkaz:
http://arxiv.org/abs/2312.09932
Autor:
T SARATH, CECILIA JOSEPH, P VEERAMANI, J THANGA JEYA, S CHEMMALAR, C PUGAZHARASI, R SURESHKUMAR, D GOPIKRISHNAN
Publikováno v:
Indian Journal of Animal Sciences, Vol 89, Iss 8 (2019)
Out of 729 Jersey crossbred cows screened, 450 cows were identified as repeat breeders in 27 selected villages of Kanchipuram district in Tamil Nadu. All the cows were selected based on Body Condition Score (BCS) of more than 2.5 and on rectal examin
Externí odkaz:
https://doaj.org/article/6e7e7b15967c48eaa9aa65feab541aca
This paper describes our system for addressing SMM4H 2023 Shared Task 2 on "Classification of sentiment associated with therapies (aspect-oriented)". In our work, we adopt an approach based on Natural language inference (NLI) to formulate this task a
Externí odkaz:
http://arxiv.org/abs/2312.03737
Autor:
Abburi, Harika, Roy, Kalyani, Suesserman, Michael, Pudota, Nirmala, Veeramani, Balaji, Bowen, Edward, Bhattacharya, Sanmitra
Recent Large Language Models (LLMs) have demonstrated remarkable capabilities in generating text that closely resembles human writing across wide range of styles and genres. However, such capabilities are prone to potential abuse, such as fake news g
Externí odkaz:
http://arxiv.org/abs/2311.03084
Autor:
Abburi, Harika, Chaudhary, Tanya, Ilyas, Haider, Manne, Lakshmi, Mittal, Deepak, Williams, Don, Snaidauf, Derek, Bowen, Edward, Veeramani, Balaji
Rolling bearing fault diagnosis has garnered increased attention in recent years owing to its presence in rotating machinery across various industries, and an ever increasing demand for efficient operations. Prompt detection and accurate prediction o
Externí odkaz:
http://arxiv.org/abs/2309.17001
Autor:
Abburi, Harika, Suesserman, Michael, Pudota, Nirmala, Veeramani, Balaji, Bowen, Edward, Bhattacharya, Sanmitra
Large Language Models (LLMs) have shown impressive performance across a variety of Artificial Intelligence (AI) and natural language processing tasks, such as content creation, report generation, etc. However, unregulated malign application of these
Externí odkaz:
http://arxiv.org/abs/2309.07755