Zobrazeno 1 - 10
of 1 528
pro vyhledávání: '"P Sravanthi"'
It is often noted that single query-item pair relevance training in search does not capture the customer intent. User intent can be better deduced from a series of engagements (Clicks, ATCs, Orders) in a given search session. We propose a novel metho
Externí odkaz:
http://arxiv.org/abs/2406.01702
Effective passage retrieval and reranking methods have been widely utilized to identify suitable candidates in open-domain question answering tasks, recent studies have resorted to LLMs for reranking the retrieved passages by the log-likelihood of th
Externí odkaz:
http://arxiv.org/abs/2405.20654
Parameter Efficient Fine-Tuning (PEFT) methods have been extensively utilized in Large Language Models (LLMs) to improve the down-streaming tasks without the cost of fine-tuing the whole LLMs. Recent studies have shown how to effectively use PEFT for
Externí odkaz:
http://arxiv.org/abs/2404.04522
Autor:
Munir, Md. Shirajum, Proddatoori, Sravanthi, Muralidhara, Manjushree, Saad, Walid, Han, Zhu, Shetty, Sachin
Understanding the potential of generative AI (GenAI)-based attacks on the power grid is a fundamental challenge that must be addressed in order to protect the power grid by realizing and validating risk in new attack vectors. In this paper, a novel z
Externí odkaz:
http://arxiv.org/abs/2403.06388
Autor:
Md Jamaloddin, Ch V Durga Rani, G Swathi, Ch Anuradha, S Vanisri, C P D Rajan, S Krishnam Raju, V Bhuvaneshwari, R Jagadeeswar, G S Laha, M S Prasad, P V Satyanarayana, C Cheralu, G Rajani, E Ramprasad, P Sravanthi, N Arun Prem Kumar, K Aruna Kumari, K N Yamini, D Mahesh, D Sanjeev Rao, R M Sundaram, M Sheshu Madhav
Publikováno v:
PLoS ONE, Vol 15, Iss 6, p e0234088 (2020)
Bacterial blight (BB) and fungal blast diseases are the major biotic constraints that limit rice productivity. To sustain yield improvement in rice, it is necessary to developed yield potential of the rice varieties by incorporation of biotic stress
Externí odkaz:
https://doaj.org/article/79eed9e5e4b14ccb84c5f64ab111a8fd
Autor:
Pham, Tan-Hanh, Acharya, Praneel, Bachina, Sravanthi, Osterloh, Kristopher, Nguyen, Kim-Doang
This work leverages the recent advancements of deep learning in image processing to find optimal locations that present the important characteristics of a field. The data for training are collected at different fields in local farms with five feature
Externí odkaz:
http://arxiv.org/abs/2309.00974
Publikováno v:
Journal of Family Medicine and Primary Care, Vol 13, Iss 10, Pp 4528-4533 (2024)
Introduction Forensic odontology plays a pivotal role in identifying individuals in legal contexts. This study analyses the efficacy of lip prints, tongue prints and mandibular canine width in determining gender, aiming to contribute to the evolving
Externí odkaz:
https://doaj.org/article/df2cc475258841f1bc93cc5dc4644af3
Autor:
H. K. Jahnavi, S. Rajendra Prasad, H. P. Nagaswarupa, Ramachandra Naik, N. Basavaraju, C. R. Ravikumar, Burragoni Sravanthi Goud, Jae Hong Kim
Publikováno v:
Discover Nano, Vol 19, Iss 1, Pp 1-21 (2024)
Abstract A nanocomposite of CaO:MgAl2O4 was synthesized through a straightforward and cost-effective sol–gel method. The investigation of the novel CaO:MgAl2O4 nanocomposite encompassed an examination of its morphological and structural alterations
Externí odkaz:
https://doaj.org/article/8fae05669ee545dfb23b79563930a8ad
Autor:
Jha, Debesh, Sharma, Vanshali, Banik, Debapriya, Bhattacharya, Debayan, Roy, Kaushiki, Hicks, Steven A., Tomar, Nikhil Kumar, Thambawita, Vajira, Krenzer, Adrian, Ji, Ge-Peng, Poudel, Sahadev, Batchkala, George, Alam, Saruar, Ahmed, Awadelrahman M. A., Trinh, Quoc-Huy, Khan, Zeshan, Nguyen, Tien-Phat, Shrestha, Shruti, Nathan, Sabari, Gwak, Jeonghwan, Jha, Ritika K., Zhang, Zheyuan, Schlaefer, Alexander, Bhattacharjee, Debotosh, Bhuyan, M. K., Das, Pradip K., Fan, Deng-Ping, Parsa, Sravanthi, Ali, Sharib, Riegler, Michael A., Halvorsen, Pål, De Lange, Thomas, Bagci, Ulas
Automatic analysis of colonoscopy images has been an active field of research motivated by the importance of early detection of precancerous polyps. However, detecting polyps during the live examination can be challenging due to various factors such
Externí odkaz:
http://arxiv.org/abs/2307.16262
Autor:
Macháček, Roman, Mozaffari, Leila, Sepasdar, Zahra, Parasa, Sravanthi, Halvorsen, Pål, Riegler, Michael A., Thambawita, Vajira
In order to take advantage of AI solutions in endoscopy diagnostics, we must overcome the issue of limited annotations. These limitations are caused by the high privacy concerns in the medical field and the requirement of getting aid from experts for
Externí odkaz:
http://arxiv.org/abs/2304.05233