Zobrazeno 1 - 10
of 2 114
pro vyhledávání: '"P., Muthukumaran"'
Autor:
Pantha, Nishan, Ramasubramanian, Muthukumaran, Gurung, Iksha, Maskey, Manil, Ramachandran, Rahul
The rapid development in large language models (LLMs) has transformed the landscape of natural language processing and understanding (NLP/NLU), offering significant benefits across various domains. However, when applied to scientific research, these
Externí odkaz:
http://arxiv.org/abs/2411.08181
Autor:
Bhattacharjee, Bishwaranjan, Trivedi, Aashka, Muraoka, Masayasu, Ramasubramanian, Muthukumaran, Udagawa, Takuma, Gurung, Iksha, Pantha, Nishan, Zhang, Rong, Dandala, Bharath, Ramachandran, Rahul, Maskey, Manil, Bugbee, Kaylin, Little, Mike, Fancher, Elizabeth, Gerasimov, Irina, Mehrabian, Armin, Sanders, Lauren, Costes, Sylvain, Blanco-Cuaresma, Sergi, Lockhart, Kelly, Allen, Thomas, Grezes, Felix, Ansdell, Megan, Accomazzi, Alberto, El-Kurdi, Yousef, Wertheimer, Davis, Pfitzmann, Birgit, Ramis, Cesar Berrospi, Dolfi, Michele, de Lima, Rafael Teixeira, Vagenas, Panagiotis, Mukkavilli, S. Karthik, Staar, Peter, Vahidinia, Sanaz, McGranaghan, Ryan, Lee, Tsendgar
Large language models (LLMs) trained on general domain corpora showed remarkable results on natural language processing (NLP) tasks. However, previous research demonstrated LLMs trained using domain-focused corpora perform better on specialized tasks
Externí odkaz:
http://arxiv.org/abs/2405.10725
Autor:
Abhiram, Pinni Venkata, Rathore, Ananya, Mirikar, Abhir, S, Hari Krishna, Pravin, Sheena Christabel, Pethri, Vishwanath Kamath, Belgod, Manjunath Lokanath, Gupta, Reetika, Muthukumaran, K
The paper presents a novel Auto Language Prediction Dictionary Capsule (ALPDC) framework for language prediction and machine translation. The model uses a combination of neural networks and symbolic representations to predict the language of a given
Externí odkaz:
http://arxiv.org/abs/2403.05982
Autor:
Maran, Thiagarajan, Jain, A., Sundaramoorthy, Muthukumaran, Roy, A. P., Joseph, Boby, Lingannan, Govindaraj, Mohan, Ashwin, Bansal, D., Yusuf, S. M., Sonachalam, Arumugam
It is widely believed that the origin of a significant cause for the voltage and capacity fading observed in lithium (Li)-ion batteries is related to structural modifications occurring in the cathode material during the Li-ion insertion/de-insertion
Externí odkaz:
http://arxiv.org/abs/2401.11446
Autor:
Ramasubramanian, Muthukumaran, Gurung, Iksha, Gahlot, Shubhankar, Hänsch, Ronny, Molthan, Andrew L., Maskey, Manil
Accurate detection of inundated water extents during flooding events is crucial in emergency response decisions and aids in recovery efforts. Satellite Remote Sensing data provides a global framework for detecting flooding extents. Specifically, Sent
Externí odkaz:
http://arxiv.org/abs/2311.09276
Autor:
Sivasubramanian Ramakrishnan, Nabeel Valappil Faisal, Lamk Kadiyani, Saurabh Kumar Gupta, Muthukumaran Chinnasamy Sivaprakasam
Publikováno v:
Annals of Pediatric Cardiology, Vol 17, Iss 4, Pp 281-284 (2024)
Transcatheter pulmonary valve implantation (TPVI) is the standard of care in patients with repaired tetralogy of Fallot (rTOF) presenting with right ventricular outflow tract (RVOT) dysfunction. However, the feasibility of TPVI is limited by the high
Externí odkaz:
https://doaj.org/article/97d334f0517740018c714d38c32998f6
Publikováno v:
Investment Management & Financial Innovations, Vol 21, Iss 4, Pp 289-300 (2024)
Cryptocurrency trading has gained significant adhesion in financial markets, making it essential to understand the factors influencing trading intentions. This study investigates the psychological and knowledge-based determinants of trading intention
Externí odkaz:
https://doaj.org/article/f7b4006c333e448fbb5772e080ce0bdc
Autor:
Km.Rakhi, Monika Jain, Amit Kumar Singh, Mohd Sajid Ali, Hamad A. Al-Lohedan, Jayaraman Muthukumaran
Publikováno v:
Biology Direct, Vol 19, Iss 1, Pp 1-16 (2024)
Abstract Background Identifying therapeutic inhibitors of crucial enzymes involved in the peptidoglycan biosynthesis pathway is pivotal for developing new treatments against multidrug-resistant Enterococcus faecalis V583. MurM, an essential enzyme in
Externí odkaz:
https://doaj.org/article/7a8581c61e99462a81a9276179f58348
Autor:
Jakubik, Johannes, Roy, Sujit, Phillips, C. E., Fraccaro, Paolo, Godwin, Denys, Zadrozny, Bianca, Szwarcman, Daniela, Gomes, Carlos, Nyirjesy, Gabby, Edwards, Blair, Kimura, Daiki, Simumba, Naomi, Chu, Linsong, Mukkavilli, S. Karthik, Lambhate, Devyani, Das, Kamal, Bangalore, Ranjini, Oliveira, Dario, Muszynski, Michal, Ankur, Kumar, Ramasubramanian, Muthukumaran, Gurung, Iksha, Khallaghi, Sam, Hanxi, Li, Cecil, Michael, Ahmadi, Maryam, Kordi, Fatemeh, Alemohammad, Hamed, Maskey, Manil, Ganti, Raghu, Weldemariam, Kommy, Ramachandran, Rahul
Significant progress in the development of highly adaptable and reusable Artificial Intelligence (AI) models is expected to have a significant impact on Earth science and remote sensing. Foundation models are pre-trained on large unlabeled datasets t
Externí odkaz:
http://arxiv.org/abs/2310.18660
Autor:
Amit Kumar Rai, Natarajaseenivasan Suriya Muthukumaran, Noemi Nisini, Tiffany Lee, Ioannis D. Kyriazis, Claudio de Lucia, Michela Piedepalumbo, Rajika Roy, Shizuka Uchida, Konstantinos Drosatos, Malik Bisserier, Rajesh Katare, David Goukassian, Raj Kishore, Venkata Naga Srikanth Garikipati
Publikováno v:
Cardiovascular Diabetology, Vol 23, Iss 1, Pp 1-9 (2024)
Abstract More than 10% of adults in the United States have type 2 diabetes mellitus (DM) with a 2–4 times higher prevalence of ischemic heart disease than the non-diabetics. Despite extensive research approaches to limit this life-threatening condi
Externí odkaz:
https://doaj.org/article/de90f5e45f344d688ac06acf5133d832