Zobrazeno 1 - 10
of 1 658
pro vyhledávání: '"P. Vineeth"'
Publikováno v:
Journal of Lipid Research, Vol 65, Iss 1, Pp 100483- (2024)
Apolipoprotein H (APOH) downregulation can cause hepatic steatosis and gut microbiota dysbiosis. However, the mechanism by which APOH-regulated lipid metabolism contributes to metabolic dysfunction–associated steatotic liver disease (MASLD) remains
Externí odkaz:
https://doaj.org/article/f0cd3cf0969a4eb2940685007ec660f0
Autor:
Sanjay Kulkarni, Soji Soman, Prerana D. Navti, Amrita Arup Roy, Ajinkya Nitin Nikam, P. Vineeth, Jahnavi Kulkarni, Krishnaraj Somayaji Shirur, Abhijeet Pandey, Sajan D. George, Srinivas Mutalik
Publikováno v:
Materials, Vol 17, Iss 6, p 1423 (2024)
MXenes are two-dimensional transition metal carbides, nitrides, and carbonitrides that have become important materials in nanotechnology because of their remarkable mechanical, electrical, and thermal characteristics. This review emphasizes how cruci
Externí odkaz:
https://doaj.org/article/c5905e5b32c640b3b9906ecfecefef4a
Autor:
Ramachandran, Rahul, Kulkarni, Tejal, Sharma, Charchit, Vijaykeerthy, Deepak, Balasubramanian, Vineeth N
Evaluating models and datasets in computer vision remains a challenging task, with most leaderboards relying solely on accuracy. While accuracy is a popular metric for model evaluation, it provides only a coarse assessment by considering a single mod
Externí odkaz:
http://arxiv.org/abs/2409.04041
In this letter, we study a Networked Control System (NCS) with multiplexed communication and Bernoulli packet drops. Multiplexed communication refers to the constraint that transmission of a control signal and an observation signal cannot occur simul
Externí odkaz:
http://arxiv.org/abs/2409.00949
Autor:
Chudasama, Vishal, Sarkar, Hiran, Wasnik, Pankaj, Balasubramanian, Vineeth N, Kalla, Jayateja
Object detection is a critical field in computer vision focusing on accurately identifying and locating specific objects in images or videos. Traditional methods for object detection rely on large labeled training datasets for each object category, w
Externí odkaz:
http://arxiv.org/abs/2408.14249
Autor:
Veliche, Irina-Elena, Huang, Zhuangqun, Kochaniyan, Vineeth Ayyat, Peng, Fuchun, Kalinli, Ozlem, Seltzer, Michael L.
The current public datasets for speech recognition (ASR) tend not to focus specifically on the fairness aspect, such as performance across different demographic groups. This paper introduces a novel dataset, Fair-Speech, a publicly released corpus to
Externí odkaz:
http://arxiv.org/abs/2408.12734
Autor:
Mohamad, Hassan, Zhang, Chao, Lasaulce, Samson, Varma, Vineeth S, Debbah, Mérouane, Ghogho, Mounir
Federated learning (FL) involves several clients that share with a fusion center (FC), the model each client has trained with its own data. Conventional FL, which can be interpreted as an estimation or distortion-based approach, ignores the final use
Externí odkaz:
http://arxiv.org/abs/2408.02384
In this paper, we examine the relationship between solar activity and extreme rainfall events in Kerala, India. Kerala receives minimum and maximum rainfall during the winter and monsoon seasons, respectively. Sunspot number, F10.7 Index, and cosmic
Externí odkaz:
http://arxiv.org/abs/2407.18262
Autor:
Vashishtha, Aniket, Kumar, Abhinav, Reddy, Abbavaram Gowtham, Balasubramanian, Vineeth N, Sharma, Amit
For text-based AI systems to interact in the real world, causal reasoning is an essential skill. Since interventional data is costly to generate, we study to what extent an agent can learn causal reasoning from passive data. Specifically, we consider
Externí odkaz:
http://arxiv.org/abs/2407.07612
Autor:
De Silva, Olivier Lindamulage, Lasaulce, Samson, Morarescu, Irinel-Constantin, Varma, Vineeth S.
In this paper, we introduce a static game that allows one to numerically assess the loss of efficiency induced by decentralized control or management of a global epidemic. Each player represents a region which is assumed to choose its control to impl
Externí odkaz:
http://arxiv.org/abs/2407.05020