Zobrazeno 1 - 10
of 12 624
pro vyhledávání: '"RadhaKrishna AN"'
Autor:
Chatterjee, Soumick, Mattern, Hendrik, Dörner, Marc, Sciarra, Alessandro, Dubost, Florian, Schnurre, Hannes, Khatun, Rupali, Yu, Chun-Chih, Hsieh, Tsung-Lin, Tsai, Yi-Shan, Fang, Yi-Zeng, Yang, Yung-Ching, Huang, Juinn-Dar, Xu, Marshall, Liu, Siyu, Ribeiro, Fernanda L., Bollmann, Saskia, Chintalapati, Karthikesh Varma, Radhakrishna, Chethan Mysuru, Kumara, Sri Chandana Hudukula Ram, Sutrave, Raviteja, Qayyum, Abdul, Mazher, Moona, Razzak, Imran, Rodero, Cristobal, Niederren, Steven, Lin, Fengming, Xia, Yan, Wang, Jiacheng, Qiu, Riyu, Wang, Liansheng, Panah, Arya Yazdan, Jurdi, Rosana El, Fu, Guanghui, Arslan, Janan, Vaillant, Ghislain, Valabregue, Romain, Dormont, Didier, Stankoff, Bruno, Colliot, Olivier, Vargas, Luisa, Chacón, Isai Daniel, Pitsiorlas, Ioannis, Arbeláez, Pablo, Zuluaga, Maria A., Schreiber, Stefanie, Speck, Oliver, Nürnberger, Andreas
The human brain receives nutrients and oxygen through an intricate network of blood vessels. Pathology affecting small vessels, at the mesoscopic scale, represents a critical vulnerability within the cerebral blood supply and can lead to severe condi
Externí odkaz:
http://arxiv.org/abs/2411.09593
Autor:
Tanabene, Asma, Radhakrishna, Chaithya Giliyar, Massire, Aurélien, Nadar, Mariappan S., Ciuciu, Philippe
Deep learning has shown great promise for MRI reconstruction from undersampled data, yet there is a lack of research on validating its performance in 3D parallel imaging acquisitions with non-Cartesian undersampling. In addition, the artifacts and th
Externí odkaz:
http://arxiv.org/abs/2411.05883
Multiple Input-Multiple Output (MIMO) is a key enabler of higher data rates in the next generation wireless communications. However in MIMO systems, channel estimation and equalization are challenging particularly in the presence of rapidly changing
Externí odkaz:
http://arxiv.org/abs/2410.10403
Autor:
Gupta, Naman, Kirtania, Shashank, Gupta, Priyanshu, Kariya, Krishna, Gulwani, Sumit, Iyer, Arun, Parthasarathy, Suresh, Radhakrishna, Arjun, Rajamani, Sriram K., Soares, Gustavo
Large Language Models (LLMs) often generate incorrect or outdated information, especially in low-resource settings or when dealing with private data. To address this, Retrieval-Augmented Generation (RAG) uses external knowledge bases (KBs), but these
Externí odkaz:
http://arxiv.org/abs/2410.10584
Autor:
Chen, Xinhe, Gao, Xian, Guittet, Darice, Tumbalam-Gooty, Radhakrishna, Knueven, Bernard, Siirola, John D., Miller, David C., Dowling, Alexander W.
Decarbonizing global energy systems requires extensive integration of renewable energy into the electric grid. However, the intermittency and variable nature of wind and other non-dispatchable renewable resources make integration a great challenge. H
Externí odkaz:
http://arxiv.org/abs/2409.08343
Autor:
Radhakrishna, Chethan, Chintalapati, Karthikesh Varma, Kumar, Sri Chandana Hudukula Ram, Sutrave, Raviteja, Mattern, Hendrik, Speck, Oliver, Nürnberger, Andreas, Chatterjee, Soumick
Identification of vessel structures of different sizes in biomedical images is crucial in the diagnosis of many neurodegenerative diseases. However, the sparsity of good-quality annotations of such images makes the task of vessel segmentation challen
Externí odkaz:
http://arxiv.org/abs/2407.08655
Autor:
Gupta, Priyanshu, Kirtania, Shashank, Singha, Ananya, Gulwani, Sumit, Radhakrishna, Arjun, Shi, Sherry, Soares, Gustavo
The popularity of Large Language Models (LLMs) have unleashed a new age ofLanguage Agents for solving a diverse range of tasks. While contemporary frontier LLMs are capable enough to power reasonably good Language agents, the closed-API model makes i
Externí odkaz:
http://arxiv.org/abs/2405.13009
Exploring Interaction Patterns for Debugging: Enhancing Conversational Capabilities of AI-assistants
Autor:
Chopra, Bhavya, Bajpai, Yasharth, Biyani, Param, Soares, Gustavo, Radhakrishna, Arjun, Parnin, Chris, Gulwani, Sumit
The widespread availability of Large Language Models (LLMs) within Integrated Development Environments (IDEs) has led to their speedy adoption. Conversational interactions with LLMs enable programmers to obtain natural language explanations for vario
Externí odkaz:
http://arxiv.org/abs/2402.06229
Autor:
Arya Kaniyassery, Sudhanva Bhimanakatte Sathish, Sachin Ashok Thorat, Thokur Sreepathy Murali, Mattu Radhakrishna Rao, Annamalai Muthusamy
Publikováno v:
Phytopathology Research, Vol 6, Iss 1, Pp 1-18 (2024)
Abstract The invasion of phytopathogens impacts the composition and associations of the internal microbial inhabitants. Leaf spot is one of the most devastating diseases in eggplant var. Mattu Gulla which is unique in terms of geographic indication (
Externí odkaz:
https://doaj.org/article/a4279b82cc9543debef7d6c97a25ddbf
Autor:
Shashikumara Puttamadanayaka, Priyadarshini Emayavaramban, Praveen Kumar Yadav, Auji Radhakrishna, Brijesh Kumar Mehta, Amaresh Chandra, Shahid Ahmad, Hemalatha Sanivarapu, Chandra Nayak Siddaiah, Kalenahalli Yogendra
Publikováno v:
BMC Plant Biology, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract Dinanath grass (Pennisetum pedicellatum Trin.) is an extensively grown forage grass known for its significant drought resilience. In order to comprehensively grasp the adaptive mechanism of Dinanath grass in response to water deficient condi
Externí odkaz:
https://doaj.org/article/4e05bc03401c49dc842261ca4b684a02