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Arterial stiffness as a screening tool for cardiovascular risk in health and disease

Autor: Vidya Ganji, A Sowganthikashri, Madhuri Taranikanti, M Kalpana, U Madhusudhan, Archana Gaur, Nitin A. John

Publikováno v: Journal of Family Medicine and Primary Care, Vol 13, Iss 8, Pp 3005-3010 (2024)

Background: Cardiovascular diseases (CVD) account for approximately one-third of all deaths worldwide. The incidence of cardiovascular events such as myocardial infraction has been reported to be progressively increasing with age, especially with exi

Externí odkaz: https://doaj.org/article/848e9c58dfc649d1986ff1a6e02e98c1

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Deep learning-based facial emotion recognition for human–computer interaction applications.

Autor: Chowdary, M. Kalpana¹ (AUTHOR), Nguyen, Tu N.² (AUTHOR), Hemanth, D. Jude¹ (AUTHOR) judehemanth@karunya.edu

Publikováno v: Neural Computing & Applications. Nov2023, Vol. 35 Issue 32, p23311-23328. 18p.

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Big data feature selection using fish and frog optimization.

Autor: R. P. S., Manikandan¹ (AUTHOR) rpsmani@siet.ac.in, A. M., Kalpana² (AUTHOR)

Publikováno v: Computational Intelligence. Apr2023, Vol. 39 Issue 2, p214-224. 11p.

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Green synthesis of nanohydroxy apatite using Calotropis procera and Wrightia tinctoria plant latex serum extract for biomedical application.

Autor: Suba Sri, M., Subhashini, M., Devi, M. Kalpana, Devi, R. Jayakala, Usha, R.

Publikováno v: Biomass Conversion & Biorefinery; Aug2024, Vol. 14 Issue 16, p19393-19407, 15p

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Deep Learning-Based Leaf Disease Detection in Crops Using Images for Agricultural Applications

Autor: Andrew J., Jennifer Eunice, Daniela Elena Popescu, M. Kalpana Chowdary, Jude Hemanth

Publikováno v: Agronomy, Vol 12, Iss 10, p 2395 (2022)

The agricultural sector plays a key role in supplying quality food and makes the greatest contribution to growing economies and populations. Plant disease may cause significant losses in food production and eradicate diversity in species. Early diagn

Externí odkaz: https://doaj.org/article/2a8a7af6212c48fdb82aef8cb95e3023

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LOW LEAKAGE CHARGE RECYCLING TECHNIQUE FOR POWER MINIMIZATION IN CNTFET CIRCUITS

Autor: Manickam Kavitha, Alagar M. Kalpana

Publikováno v: Acta Polytechnica, Vol 59, Iss 1, Pp 24-34 (2019)

Carbon Nanotube Field Effect Transistor (CNTFET) is one of the most promising candidates in the near future for digital design due to its better electrostatics and higher mobility characteristics. Parameters that determine the CNTFET performance are

Externí odkaz: https://doaj.org/article/753b8cc8b6d74ef7a523c301df66f34f

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