Zobrazeno 1 - 10
of 2 494
pro vyhledávání: '"P. Rajasekar"'
We propose a nonlinear one-dimensional FitzHugh--Nagumo neuronal model with an asymmetric potential driven by both a high-frequency and a low-frequency signal. Our numerical analysis focuses on the influence of a state-dependent time delay on vibrati
Externí odkaz:
http://arxiv.org/abs/2410.06861
Autor:
Biswas, Soumya, Dabral, Keshav, Majumder, Saptak, Parasuraman, Rajasekar, Dutt, Aditya S., Kamble, Vinayak B.
Among the popular TE materials, selenides and tellurides are the benchmarks of high-efficiency systems. However, for the high-temperature application (>700 K), it is required to rely on the silicides and the oxides due to their exceptional thermal st
Externí odkaz:
http://arxiv.org/abs/2409.09728
MLaaS (Machine Learning as a Service) has become popular in the cloud computing domain, allowing users to leverage cloud resources for running private inference of ML models on their data. However, ensuring user input privacy and secure inference exe
Externí odkaz:
http://arxiv.org/abs/2404.07437
Publikováno v:
Physics Reports, 2024, 1067, 1-62
Over the past two decades, vibrational resonance has garnered significant interest and evolved into a prominent research field. Classical vibrational resonance examines the response of a nonlinear system excited by two signals: a weak, slowly varying
Externí odkaz:
http://arxiv.org/abs/2403.06997
Detection of tuberculosis using cough audio analysis: a deep learning approach with capsule networks
Autor:
Sakthi Jaya Sundar Rajasekar, Anu Rithiga Balaraman, Deepa Varnika Balaraman, Saleem Mohamed Ali, Kannan Narasimhan, Narayanasamy Krishnasamy, Varalakshmi Perumal
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-11 (2024)
Abstract Purpose Tuberculosis (TB) is a widespread infectious disease that requires early detection for effective treatment and control. This study aims to improve TB detection using cough audio analysis, comparing the performance of capsule networks
Externí odkaz:
https://doaj.org/article/075491dcfd5f48429f988f4c47082bd4
Publikováno v:
Journal of Materials Research and Technology, Vol 33, Iss , Pp 3093-3105 (2024)
In the past few years, there has been a considerable growth in the utilization of solar cells to produce electrical power to fulfil the growing worldwide energy demands. An optical loss is a crucial factor that impacts the performance of the photovol
Externí odkaz:
https://doaj.org/article/fdf62985b6fa462190734e80dd695563
Autor:
Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-34 (2024)
Abstract Predicting stock market behavior using sentiment analysis has become increasingly popular, as customer responses on platforms like Twitter can influence market trends. However, most existing sentiment-based models struggle with two major iss
Externí odkaz:
https://doaj.org/article/a539dbbbb4014f479a44f9438944d1bb
Autor:
Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-15 (2024)
Abstract In this study, the research presents the Federated Learning Enhanced Multi-Layer Perceptron (Fed-MLP) Long Short-Term Memory that is suggested by the research. The research intends to use the LSTM networks extensively that are proficient in
Externí odkaz:
https://doaj.org/article/9c1680bb54ad402da5862fcffe83add4
Autor:
Krishnan Vignesh, Sankar Sujithra, Murugesan Vajjiravel, Jayaraman Narenkumar, Bhaskar Das, Mohamad S. AlSalhi, Sandhanasamy Devanesan, Aruliah Rajasekar, Tabarak Malik
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract This study investigates the efficacy of newly synthesized inhibitor with a dual function of corrosion inhibition and biocide for control of microbial influenced corrosion (MIC) in carbon steel API 5LX in the cooling tower water (CTW) environ
Externí odkaz:
https://doaj.org/article/92f1367da2f246b08df8472e750caab5
Autor:
Arulvasu Chinnasamy, Vennila Jayaprakash, Deepakrajasekar Padmanaban, Niranjni Sekar, Rajasekar Valayapathi, Aarthi Azhagudurai, Sumathi Ethiraj
Publikováno v:
Future Journal of Pharmaceutical Sciences, Vol 10, Iss 1, Pp 1-12 (2024)
Abstract Background Gastric cancer is a prevalent form of malignancy among many common carcinoma cases globally. This study was designed to assess the anticancer potential of the crude ethanolic seed extract from Mucuna pruriens against the gastric c
Externí odkaz:
https://doaj.org/article/467aef3c020e41b6a3d3a5657c033132