Zobrazeno 1 - 10
of 8 822
pro vyhledávání: '"P. Kishan"'
Publikováno v:
RUHS Journal of Health Sciences (2023)
Introduction: Chronic liver disease (CLD) and cirrhosis of liver are 12th leading cause of death. Acute-on-chronic liver failure (ACLF) is an increasingly recognized entity encompassing an acute deterioration of liver function in patients with cirrho
Externí odkaz:
https://doaj.org/article/26c2b867bb7446f2b72f3200d06553b2
Akademický článek
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Autor:
Lewington, Aiden, Vittalam, Alekhya, Singh, Anshumaan, Uppuluri, Anuja, Ashok, Arjun, Athmaram, Ashrith Mandayam, Milt, Austin, Smith, Benjamin, Weinberger, Charlie, Sarin, Chatanya, Bergmeir, Christoph, Chang, Cliff, Patel, Daivik, Li, Daniel, Bell, David, Cao, Defu, Shin, Donghwa, Kang, Edward, Zhang, Edwin, Li, Enhui, Chen, Felix, Smithline, Gabe, Chen, Haipeng, Gasztowtt, Henry, Shin, Hoon, Zhang, Jiayun, Gray, Joshua, Low, Khai Hern, Patel, Kishan, Cooke, Lauren Hannah, Burstein, Marco, Kalapatapu, Maya, Mittal, Mitali, Chen, Raymond, Zhao, Rosie, Majid, Sameen, Potlapalli, Samya, Wang, Shang, Patel, Shrenik, Li, Shuheng, Komaragiri, Siva, Lu, Song, Siangjaeo, Sorawit, Jung, Sunghoo, Zhang, Tianyu, Mao, Valery, Krishnakumar, Vikram, Zhu, Vincent, Kam, Wesley, Li, Xingzhe, Liu, Yumeng
Advances in artificial intelligence (AI) present significant risks and opportunities, requiring improved governance to mitigate societal harms and promote equitable benefits. Current incentive structures and regulatory delays may hinder responsible A
Externí odkaz:
http://arxiv.org/abs/2412.06936
Online Reinforcement learning (RL) typically requires high-stakes online interaction data to learn a policy for a target task. This prompts interest in leveraging historical data to improve sample efficiency. The historical data may come from outdate
Externí odkaz:
http://arxiv.org/abs/2411.03810
Publikováno v:
IEEE Access, vol. 12, pp. 157540-157555, 2024
This survey uncovers the tension between AI techniques designed for energy saving in mobile networks and the energy demands those same techniques create. We compare modeling approaches that estimate power usage cost of current commercial terrestrial
Externí odkaz:
http://arxiv.org/abs/2411.02164
Recent sustainability drives place energy-consumption metrics in centre-stage for the design of future radio access networks (RAN). At the same time, optimising the trade-off between performance and system energy usage by machine-learning (ML) is an
Externí odkaz:
http://arxiv.org/abs/2411.02135
Autor:
Peterkovic, Zane, Upadhya, Avinash, Perrella, Christopher, Bajraktarevic, Admir, Gonzalez, Ramses Bautista, Lim, Megan, Dunning, Kylie R, Dholakia, Kishan
Low-light optical imaging refers to the use of cameras to capture images with minimal photon flux. This area has broad application to diverse fields, including optical microscopy for biological studies. In such studies, it is important to reduce the
Externí odkaz:
http://arxiv.org/abs/2410.19210
This paper proposes a nonlinear magnetics model for Permanent Magnet Synchronous Machines (PMSMs) that accurately captures the effects of magnetic saturation in the machine iron and variations in rotor temperature on the permanent magnet excitation.
Externí odkaz:
http://arxiv.org/abs/2410.16240
Graph Neural Networks (GNNs) have shown remarkable success in various graph-based tasks, including node classification, node regression, graph classification, and graph regression. However, their scalability remains a significant challenge, particula
Externí odkaz:
http://arxiv.org/abs/2410.15001
Autor:
Maharaj, Kishan, Munigala, Vitobha, Tamilselvam, Srikanth G., Kumar, Prince, Sen, Sayandeep, Kodeswaran, Palani, Mishra, Abhijit, Bhattacharyya, Pushpak
Recent advancements in large language models (LLMs) have significantly enhanced their ability to understand both natural language and code, driving their use in tasks like natural language-to-code (NL2Code) and code summarization. However, LLMs are p
Externí odkaz:
http://arxiv.org/abs/2410.14748