Zobrazeno 1 - 10
of 10 779
pro vyhledávání: '"A. Vinoth"'
Autor:
Jana Backhus, Aniruddha Rajendra Rao, Chandrasekar Venkatraman, Abhishek Padmanabhan, A. Vinoth Kumar, Chetan Gupta
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3270 (2024)
In this study, we leverage SCADA data from diverse wind turbines to predict power output, employing advanced time series methods, specifically Functional Neural Networks (FNN) and Long Short-Term Memory (LSTM) networks. A key innovation lies in the e
Externí odkaz:
https://doaj.org/article/5d6ba42a6ce44325b290f9e45bceff52
Autor:
Anant Narayan Bhatt, Srinivas Shenoy, Sagar Munjal, Vijayakumar Chinnadurai, Apurva Agarwal, A. Vinoth Kumar, A. Shanavas, Ratnesh Kanwar, Sudhir Chandna
Publikováno v:
BMC Infectious Diseases, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Background At present, no single efficacious therapeutic exists for acute COVID-19 management and a multimodal approach may be necessary. 2-deoxy-d-glucose (2-DG) is a metabolic inhibitor that has been shown to limit multiplication of SARS-C
Externí odkaz:
https://doaj.org/article/901bd5660e4f4891a4a3274873e79a84
Autor:
Wang, Xing, Dabrowski, Joel Janek, Pinskier, Josh, Liow, Lois, Viswanathan, Vinoth, Scalzo, Richard, Howard, David
Modelling complex deformation for soft robotics provides a guideline to understand their behaviour, leading to safe interaction with the environment. However, building a surrogate model with high accuracy and fast inference speed can be challenging f
Externí odkaz:
http://arxiv.org/abs/2407.08222
Autor:
Backhus, Jana, Rao, Aniruddha Rajendra, Venkatraman, Chandrasekar, Padmanabhan, Abhishek, Kumar, A. Vinoth, Gupta, Chetan
In this study, we leverage SCADA data from diverse wind turbines to predict power output, employing advanced time series methods, specifically Functional Neural Networks (FNN) and Long Short-Term Memory (LSTM) networks. A key innovation lies in the e
Externí odkaz:
http://arxiv.org/abs/2403.00975
Publikováno v:
Journal of Advanced Research, Vol 8, Iss 3, Pp 183-199 (2017)
In the present review, attempts have been made to analyze the metallurgical, mechanical, and corrosion properties of commercial marine alloy duplex stainless steel AISI 2205 with special reference to its weldability, machinability, and surfacing. In
Externí odkaz:
https://doaj.org/article/d22d1508694642d982e10172974d0848
Over the past decade deep learning has revolutionized the field of computer vision, with convolutional neural network models proving to be very effective for image classification benchmarks. However, a fundamental theoretical questions remain answere
Externí odkaz:
http://arxiv.org/abs/2307.00919
Recently, deep learning has revolutionized the field of natural language processing, with neural language models proving to be very effective for next-word prediction. However, a rigorous theoretical explanation for their success in the context of fo
Externí odkaz:
http://arxiv.org/abs/2306.17184
Regular reflection (RR) to Mach reflection(MR) transitions (RR-MR) on long wedges in steady supersonic flows have been well studied and documented. However, in a short wedge where the wedge length is small, the transition prediction becomes really ch
Externí odkaz:
http://arxiv.org/abs/2306.07568
Liver infection is a common disease, which poses a great threat to human health, but there is still able to identify an optimal technique that can be used on large-level screening. This paper deals with ML algorithms using different data sets and pre
Externí odkaz:
http://arxiv.org/abs/2305.07670
Autor:
Poorva Shrivastava, Chakshu Baweja, Herambraj Nalawade, A. Vinoth Kumar, Vikram Ramanan, Vinayak Malhotra
Publikováno v:
Journal of Combustion, Vol 2017 (2017)
Transitional phenomena of smoldering combustion over thin solid fuels are investigated. An experimental setup was upraised and implications of both smoldering and flaming external heat sources are estimated. Incense sticks were used as potential fuel
Externí odkaz:
https://doaj.org/article/db883666b1c9487a827728295fbfcef0