Dynamical nonlinear moments of internal heating impact on hydro-magnetic flow suspended with pure water-based CNT+Graphene+Al2O3 and Paraffin wax+Sand+AA7072 mixtures

Autor: S. Saravana Kumar, R. Vikrama Prasad, M. Sathish Kumar, S. U. Mamatha, C. S. K. Raju, K. Vijaya Bhaskar Raju

Publikováno v: International Journal of Modern Physics B. 37

Over the last 10 years, heat transfer performance in immediate cooling and heating applications has grown into the foremost concern for heat transfer practitioners in Engineering and manufacturing practices. Henceforward, the study in new heat transf

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::74da762bbfd15f9b6646951c95067172
https://doi.org/10.1142/s0217979223501503

Dynamical nonlinear moments of internal heating impact on hydro-magnetic flow suspended with pure water-based CNT+Graphene+Al2O3 and Paraffin wax+Sand+AA7072 mixtures.

Autor: Kumar, S. Saravana, Prasad, R. Vikrama, Kumar, M. Sathish, Mamatha, S. U., Raju, C. S. K., Raju, K. Vijaya Bhaskar

Publikováno v: International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics; 6/20/2023, Vol. 37 Issue 15, p1-20, 20p

SOME RESULTS FOR EQUITABLE EDGE COLORING OF SOME CYCLE AND SILICATE RELATED GRAPHS

Autor: R. Vikrama Prasad, K. Sivaraman

Publikováno v: Advances in Mathematics: Scientific Journal. 9:5703-5711

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c3193ba2fb510569d2c940dd7d7984e0
https://doi.org/10.37418/amsj.9.8.39

Modified Magic Color Labeling of Certain Classes of Graphs

Autor: R. Vikrama Prasad, K. Sivaraman

Publikováno v: Journal of Advanced Research in Dynamical and Control Systems. 12:568-576

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::66fedd1ac66c8764b7c71643c6a1d8ea
https://doi.org/10.5373/jardcs/v12sp5/20201792

Automatic and non-invasive Parkinson’s disease diagnosis and severity rating using LSTM network

Autor: R Vikrama, D Brindha, E Balaji, Vinodh Kumar Elumalai

Publikováno v: Applied Soft Computing. 108:107463

Deep learning has a huge potential in healthcare for uncovering the hidden patterns from large volume of clinical data to diagnose different diseases. This paper presents a novel deep learning architecture based long short term memory (LSTM) network

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e0415998610ab958cdecde5ae23be36d
https://doi.org/10.1016/j.asoc.2021.107463