Zobrazeno 1 - 10
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pro vyhledávání: '"Arivazhagan A."'
Neural-network models have been employed to predict the instantaneous flow close to the wall in a viscoelastic turbulent channel flow. Numerical simulation data at the wall is utilized to predict the instantaneous velocity-fluctuations and polymeric-
Externí odkaz:
http://arxiv.org/abs/2404.14121
Autor:
V. Balaji, P. Jeyapandiarajan, J. Joel, Arivazhagan Anbalagan, P. Ashwath, S. Margret Anouncia, Andre Batako, M. Anthony Xavior
Publikováno v:
Journal of Materials Research and Technology, Vol 33, Iss , Pp 7681-7697 (2024)
Green hydrogen can potentially reduce carbon emissions in several types of automotive, transport and energy industries. However, effective handling of hydrogen during generation, storage, transportation, and distribution poses significant challenges
Externí odkaz:
https://doaj.org/article/994d96d623a7432ba244f1a3c09a3a2c
Autor:
Ajay Asranna, Asheeb Abdulhak, Lakshminarayanapuram Gopal Viswanathan, Ravindranandh Chowdary Mundlamuri, Raghavendra Kenchaiah, Mariyappa Narayanan, Bhargava Gautham, Velumurugan Jayabal, Rose Dawn Bharath, Jitender Saini, Chandana Nagaraj, Sandhya Mangalore, Karthik Kulanthaivelu, Nishanth Sadashiva, A Mahadevan, Jamuna Rajeswaran, Arivazhagan Arimappamagan, Bhaskara Rao Malla, Sanjib Sinha
Publikováno v:
Annals of Indian Academy of Neurology, Vol 27, Iss 5, Pp 500-505 (2024)
Background and Objectives: Magnetoencephalography (MEG) could be a valuable tool in the presurgical evaluation of drug-resistant epilepsy (DRE), especially when the initial evaluation is inconclusive. In this retrospective study, we describe the prof
Externí odkaz:
https://doaj.org/article/60f6771fb7d54dfba99a9b96f36f7a0d
Autor:
Balasubramanian, Arivazhagan G., Guastoni, Luca, Schlatter, Philipp, Azizpour, Hossein, Vinuesa, Ricardo
The objective of this study is to assess the capability of convolution-based neural networks to predict wall quantities in a turbulent open channel flow. The first tests are performed by training a fully-convolutional network (FCN) to predict the 2D
Externí odkaz:
http://arxiv.org/abs/2303.00706
Autor:
Arivazhagan, S.1, Shebiah, R. Newlin1 newlinshebiah@mepcoeng.ac.in, Saranyaa, M.1, Priya, R. Shanmuga1
Publikováno v:
Inteligencia Artificial: Revista Iberoamericana de Inteligencia Artificial. Jun2024, Vol. 27 Issue 73, p80-91. 12p.
The objective of the present study is to provide a numerical database of thermal boundary layers and to contribute to the understanding of the dynamics of passive scalars at different Prandtl numbers. In this regard, a direct numerical simulation (DN
Externí odkaz:
http://arxiv.org/abs/2301.12915
Publikováno v:
Green Analytical Chemistry, Vol 10, Iss , Pp 100127- (2024)
In many domains, the creation of nonenzymatic glucose sensors with robust electrocatalytic activity and chemical stability is indispensable. However, the design of nanoarchitecture transition metals and their nanocomposites as sensing interfaces for
Externí odkaz:
https://doaj.org/article/6085231f8187464f8074c770a06b5862
Publikováno v:
Current Problems in Cancer: Case Reports, Vol 15, Iss , Pp 100301- (2024)
Extranodal Natural Killer (NK)/T-cell lymphoma, nasal type, is rare and frequently found in Asia and South America. It is rarely found in the United States, mainly in the immigrant population. We present a 26-year-old male from Central America who wa
Externí odkaz:
https://doaj.org/article/6f1edd2e3dfa417888c3bb4470f475f1
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 9, Iss , Pp 100634- (2024)
Underwater images taken with underwater cameras often experience visual deterioration, including problems like color distortion, diminished contrasts, and blurred details. The current trend in research is to address these issues separately, resulting
Externí odkaz:
https://doaj.org/article/fd250208f4504f839113e1b680c1a5fe