Zobrazeno 1 - 10
of 29
pro vyhledávání: '"K., Sanjeev Kumar"'
Publikováno v:
AIP Conference Proceedings; 2024, Vol. 3101 Issue 1, p1-6, 6p
Publikováno v:
Journal of Pure and Applied Microbiology, Vol 14, Iss 2, Pp 1107-1114 (2020)
Symbiosis in legume plants is an ever evolving research as the factors that initiate, regulate and accomplish the complex relationship between the plant and microorganisms are very dynamic. Rhizobium is a common symbiont in legumes which throughout
Externí odkaz:
https://doaj.org/article/d6108f61333d4028a05ffe52322641e0
Autor:
K., Sanjeev Kumar1, Pindi, Pavan Kumar1 pavankumarpindi@gmail.com
Publikováno v:
Current Trends in Biotechnology & Pharmacy. Oct2022, Vol. 16 Issue 4, p456-470. 15p.
Publikováno v:
The Analyst. 148:1451-1459
A disposable micropipette tip based liquid–organogel interface, in the presence/absence of calixarene has been developed as a platform for sensing acetylcholine and is highly suitable for electrified soft interface sensing applications.
Akademický článek
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Publikováno v:
The Analyst. 146:3208-3215
Putrescine and cadaverine are biogenic amines that serve as potential biomarkers for several types of cancers and monitoring food quality. Electrochemical sensing of putrescine and cadaverine by non-enzymatic routes remains a challenge because of the
Publikováno v:
Journal of Pure and Applied Microbiology, Vol 14, Iss 2, Pp 1107-1114 (2020)
Symbiosis in legume plants is an ever evolving research as the factors that initiate, regulate and accomplish the complex relationship between the plant and microorganisms are very dynamic. Rhizobium is a common symbiont in legumes which throughout t
Autor:
M Revanth, K Sanjeev Kumar, M Srinivasan, Albert Alexander Stonier, Dishore Shunmugham Vanaja
Publikováno v:
2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA).
Publikováno v:
ICRA
We present a novel Deep Reinforcement Learning (DRL) based policy to compute dynamically feasible and spatially aware velocities for a robot navigating among mobile obstacles. Our approach combines the benefits of the Dynamic Window Approach (DWA) in
Autor:
Adarsh Jagan Sathyamoorthy, Utsav Patel, Moumita Paul, Nithish K Sanjeev Kumar, Yash Savle, Dinesh Manocha
We present CoMet, a novel approach for computing a group's cohesion and using that to improve a robot's navigation in crowded scenes. Our approach uses a novel cohesion-metric that builds on prior work in social psychology. We compute this metric by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28983c5f7a2fe76571c222344f3324f4