Zobrazeno 1 - 10
of 8 862
pro vyhledávání: '"Vidyasagar A"'
Autor:
Ravi K Anchoori, Vidyasagar Anchoori, Brandon Lam, Ssu-Hsueh Tseng, Samarjit Das, Fernanda Carrizo Velasquez, Balasubramanyam Karanam, Deepika Poddatoori, Ramesh Patnam, Michelle A Rudek, Yung-Nien Chang, Richard B S Roden
Publikováno v:
PLoS ONE, Vol 18, Iss 6, p e0285221 (2023)
Bortezomib has been successful for treatment of multiple myeloma, but not against solid tumors, and toxicities of neuropathy, thrombocytopenia and the emergence of resistance have triggered efforts to find alternative proteasome inhibitors. Bis-benzy
Externí odkaz:
https://doaj.org/article/9b4e3a1ede114e78983838d19f4e8731
Autor:
Bangad, Nikhil, Jayaram, Vivekananda, Krishnappa, Manjunatha Sughaturu, Banarse, Amey Ram, Bidkar, Darshan Mohan, Nagpal, Akshay, Parlapalli, Vidyasagar
Publikováno v:
International Journal of Computer Engineering and Technology IJCET 2024
This paper presents a theoretical framework for an AI-driven data quality monitoring system designed to address the challenges of maintaining data quality in high-volume environments. We examine the limitations of traditional methods in managing the
Externí odkaz:
http://arxiv.org/abs/2410.08576
Learning-based methods have proven useful at generating complex motions for robots, including humanoids. Reinforcement learning (RL) has been used to learn locomotion policies, some of which leverage a periodic reward formulation. This work extends t
Externí odkaz:
http://arxiv.org/abs/2409.07846
Autor:
Ferracina, Fabiana, Krishnamoorthy, Bala, Halappanavar, Mahantesh, Hu, Shengwei, Sathuvalli, Vidyasagar
We explore the application of machine learning algorithms to predict the suitability of Russet potato clones for advancement in breeding trials. Leveraging data from manually collected trials in the state of Oregon, we investigate the potential of a
Externí odkaz:
http://arxiv.org/abs/2404.03701
Autor:
Karandikar, Rajeeva L., Vidyasagar, M.
In this paper, we study the convergence properties of the Stochastic Gradient Descent (SGD) method for finding a stationary point of a given objective function $J(\cdot)$. The objective function is not required to be convex. Rather, our results apply
Externí odkaz:
http://arxiv.org/abs/2312.02828
Autor:
Vidyasagar, Mathukumalli
In this paper, we present a brief survey of Reinforcement Learning (RL), with particular emphasis on Stochastic Approximation (SA) as a unifying theme. The scope of the paper includes Markov Reward Processes, Markov Decision Processes, Stochastic App
Externí odkaz:
http://arxiv.org/abs/2304.00803
In this paper, we study the well-known "Heavy Ball" method for convex and nonconvex optimization introduced by Polyak in 1964, and establish its convergence under a variety of situations. Traditionally, most algorithms use "full-coordinate update," t
Externí odkaz:
http://arxiv.org/abs/2303.16241
Autor:
Yeh, Eric, Hitaj, Briland, Sadhu, Vidyasagar, Roy, Anirban, Nakabayashi, Takuma, Tsuji, Yoshito
The recent explosion of high-quality image-to-image methods has prompted interest in applying image-to-image methods towards artistic and design tasks. Of interest for architects is to use these methods to generate design proposals from conceptual sk
Externí odkaz:
http://arxiv.org/abs/2303.11483
Publikováno v:
Journal of Eating Disorders, Vol 12, Iss 1, Pp 1-11 (2024)
Abstract Background Higher prevalence of disordered eating in young adults with type 1 diabetes (T1D) culminates in higher levels of morbidity and mortality. In addition to validated questionnaires for diabetes distress, depression/anxiety symptoms a
Externí odkaz:
https://doaj.org/article/a68d44032a0e42619020929f0d945fa4
Autor:
G. Vinaya Chandu Vidyasagar, P. V. Janardhan Reddy, M. Md. Ghouse, T. C. Venkateswarulu, P. B. Kavi Kishor, Prashanth Suravajhala, Rathnagiri Polavarapu
Publikováno v:
AMB Express, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Corona virus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), claimed millions globally. After the report of the first incidence of the virus, variants emerged with each posing a unique
Externí odkaz:
https://doaj.org/article/e0b5fee8148444f9809373a7d56b2600