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pro vyhledávání: '"Ritesh Khanna"'
Autor:
Zuzana Beránková, Ritesh Khanna, Markéta Spěváková, Helena Langhansová, Jan Kopecký, Jaroslava Lieskovská
Publikováno v:
Ticks and Tick-Borne Diseases, Vol 15, Iss 1, Pp 102269- (2024)
Viral infection may represent a stress condition to the host cell. Cells react to it by triggering the defence programme to restore homeostasis and these events may in turn impact the viral replication. The knowledge about tick-borne encephalitis vir
Externí odkaz:
https://doaj.org/article/2aa11dd396f5406cae8672fc9230d7ab
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
Background: Vitamin-D binding protein (DBP) also known as GC protein, is a major determinant for vitamin- D metabolism and transport. GC1F, GC1S, and GC2 are the three allelic variants (denoted as rs4588 and rs7041) of GC, and known to be associated
Externí odkaz:
https://doaj.org/article/af5d2bd186a143f7abb2b247de594da0
Autor:
Kushal Roy, Ritesh Khanna
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811508288
Perovskite-type materials particularly PZT have remained at the center of research due to their applicability in fabrication of sensors and actuators. The work presented in this paper focuses on fabrication of PZT (70/30) by sol–gel technique follo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90f1e55897ae3e59b3ca6b3d5195d619
https://doi.org/10.1007/978-981-15-0829-5_36
https://doi.org/10.1007/978-981-15-0829-5_36
Autor:
Ritesh Khanna, J. B. Gurung
Publikováno v:
TENCON 2017 - 2017 IEEE Region 10 Conference.
This paper introduces a self-controlled variable step size LMS algorithm. It could be the first of its kind in the LMS algorithm. It is an improved algorithm over the algorithm introduced by authors of this paper. In this algorithm, whenever there is
Autor:
J. B. Gurung, Ritesh Khanna
Publikováno v:
2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON).
The LMS algorithm has a standard fixed step size. This paper introduces a new dynamically varying step size and set its boundary. At the beginning, the newly introduced variable step size algorithm facilitates an option to select the highest possible