Zobrazeno 1 - 10
of 5 708
pro vyhledávání: '"Subbiah P"'
Autor:
Balaiah Mehanathan P, Arthur Edwards Dennison A, Vikramathithan Panchapooranam A, Kandasamy S, Subbiah P, Velappan L, Kalyanaraman S
Publikováno v:
Breast Cancer: Targets and Therapy, Vol Volume 15, Pp 263-270 (2023)
Pabithadevi Balaiah Mehanathan,1 Alex Arthur Edwards Dennison,1 Amudha Vikramathithan Panchapooranam,2 Sunitha Kandasamy,3 Padmavathi Subbiah,4 Lakshmikandhan Velappan,4 Shantaraman Kalyanaraman5 1General Surgery, Tirunelveli Medical College, Tirunel
Externí odkaz:
https://doaj.org/article/2b9dc803f1e54112800c1e1384f25405
Autor:
Sahadiya Mandodan, Aneha Kunnikuruvan, Bhagyashree Bora, Hemaladkshmi Padmanaban, Abhisubesh Vijayakumar, Kakhuangailiu Gangmei, Manikandan Sivaprakasam, Jibi Lukose, Mathivanan Ashokkumar, Vijayalakshmi Krishnamoorthy, Subbiah Poopathi
Publikováno v:
Asian Pacific Journal of Tropical Medicine, Vol 16, Iss 11, Pp 479-489 (2023)
The periodic outbreak of mosquito-borne diseases like dengue fever, zika fever, and yellow fever all over the world highlights the need for effective mosquito control methods targeting the biological system. Due to the lack of therapeutic measures, p
Externí odkaz:
https://doaj.org/article/0e9eb45609794f34b505bfeb16f56a27
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract SIRT3 deacetylates mitochondrial proteins, thereby enhancing their function. We have previously demonstrated that Sirt3 gene deletion leads to brain mitochondrial dysfunction and neuroinflammation. We also reported that silencing of Sirt3 ge
Externí odkaz:
https://doaj.org/article/77dbf4cd514940f7ba5e2e479712bd18
Autor:
Lumer, Elias, Subbiah, Vamse Kumar, Burke, James A., Basavaraju, Pradeep Honaganahalli, Huber, Austin
Recent advancements in tool-equipped Agents (LLMs) have enabled complex tasks like secure database interactions and multi-agent code development. However, scaling tool capacity beyond agent reasoning or model limits remains a challenge. In this paper
Externí odkaz:
http://arxiv.org/abs/2410.14594
In recommendation systems, there has been a growth in the number of recommendable items (# of movies, music, products). When the set of recommendable items is large, training and evaluation of item recommendation models becomes computationally expens
Externí odkaz:
http://arxiv.org/abs/2410.06371
Tanker-based distribution systems have been prevalent in developing countries to supply clean and pure water in different regions. To efficiently operate such tanker service systems, a large fleet of tanker trucks are required to transport water amon
Externí odkaz:
http://arxiv.org/abs/2408.01184
Autor:
Maheshwari, Abhilasha, Misra, Shamik, Gudi, Ravindra, Subbiah, Senthilmurugan, Laspidou, Chrysi
Tanker water systems play critical role in providing adequate service to meet potable water demands in the face of acute water crisis in many cities globally. Managing tanker movements among the supply and demand sides requires an efficient schedulin
Externí odkaz:
http://arxiv.org/abs/2408.00431
Autor:
Subbiah, Melanie, Ladhak, Faisal, Mishra, Akankshya, Adams, Griffin, Chilton, Lydia B., McKeown, Kathleen
Human evaluation has been the gold standard for checking faithfulness in abstractive summarization. However, with a challenging source domain like narrative, multiple annotators can agree a summary is faithful, while missing details that are obvious
Externí odkaz:
http://arxiv.org/abs/2407.06501
Autor:
Yang, Li, Subbiah, Anushya, Patel, Hardik, Li, Judith Yue, Song, Yanwei, Mirghaderi, Reza, Aggarwal, Vikram
Large-language Models (LLMs) have been extremely successful at tasks like complex dialogue understanding, reasoning and coding due to their emergent abilities. These emergent abilities have been extended with multi-modality to include image, audio, a
Externí odkaz:
http://arxiv.org/abs/2406.02844
Autor:
Truong, Thanh-Dat, Prabhu, Utsav, Wang, Dongyi, Raj, Bhiksha, Gauch, Susan, Subbiah, Jeyamkondan, Luu, Khoa
Unsupervised Domain Adaptation has been an efficient approach to transferring the semantic segmentation model across data distributions. Meanwhile, the recent Open-vocabulary Semantic Scene understanding based on large-scale vision language models is
Externí odkaz:
http://arxiv.org/abs/2406.01429