Zobrazeno 1 - 10
of 34
pro vyhledávání: '"P. G. Sunitha"'
Autor:
K, Asha S, G, Sunitha
This research paper is intended to study the nanoparticles shapes on peristalsis of Casson fluid in a channel flow by considering Joule heating effects. The study of such flows has various relevance applications in biomedical engineering and industri
Externí odkaz:
http://arxiv.org/abs/2111.15369
Autor:
S. K. Asha, G. Sunitha
Publikováno v:
Journal of Taibah University for Science, Vol 13, Iss 1, Pp 155-168 (2019)
This paper examines the effect of joule heating and MHD on peristaltic blood flow of a Eyring–Powell nanofluid in a non-uniform channel. The transport equations involve the combined effects of Brownian and Thermophoresis diffusion of nanoparticles.
Externí odkaz:
https://doaj.org/article/1a3e9d7992304618a466e5613303c107
Autor:
S.K. Asha, G. Sunitha
Publikováno v:
Case Studies in Thermal Engineering, Vol 17, Iss , Pp - (2020)
The aim of the present research work deals with the thermal radiation and hall effects on peristaltic blood flow with double diffusive convection of gold nanoparticles through an asymmetric channel under the long wavelength and low Reynolds number as
Externí odkaz:
https://doaj.org/article/1dcdf61d5c314e56813fe88f1292ea11
Publikováno v:
Journal of Engineering Education Transformations; 2024 Special Issue, Vol. 37, p980-986, 7p
Publikováno v:
Journal of Computational and Theoretical Nanoscience. 17:4331-4335
In this paper, we address one of the long-standing psychological disorders-seizure and the classification of patients as susceptible to seizure or healthy subjects. The classification is based on the EEG (electroencephalogram) recordings provided, by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a07cb5c2d3f12bb8f41ba22e13652928
https://doi.org/10.1166/jctn.2020.9071
https://doi.org/10.1166/jctn.2020.9071
Autor:
Neeta Shinde, Chandana S, Shashank Anand Patil, K Siri Chandana, Neha Tarannum Pendari, P G Sunitha Hiremath, Shankar Gangisetty
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c000f761a084dac2fec179f8883e1bf
https://doi.org/10.1109/bigdata52589.2021.9671835
https://doi.org/10.1109/bigdata52589.2021.9671835
Autor:
Aryan Narayan, Bodhi Satwa Mishra, P. G. Sunitha Hiremath, Neha Tarannum Pendari, Shankar Gangisetty
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa920d375cd8cc050a7c747acf182312
https://doi.org/10.1109/bigdata52589.2021.9671632
https://doi.org/10.1109/bigdata52589.2021.9671632
Publikováno v:
2021 World Engineering Education Forum/Global Engineering Deans Council (WEEF/GEDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b3411aaf53018d566e35d1570237ce9
https://doi.org/10.1109/weef/gedc53299.2021.9657245
https://doi.org/10.1109/weef/gedc53299.2021.9657245
Akademický článek
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Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789813369863
The discrimination between similar languages is one of the main challenges in automatic language identification. In this paper, we address this problem by proposing a generative adversarial network-based language identification method for identifying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a590e7d72687559cca7cd3cd9a5fed6
https://doi.org/10.1007/978-981-33-6987-0_20
https://doi.org/10.1007/978-981-33-6987-0_20