Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Ananda Kumar, S."'
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-22 (2024)
Abstract Detecting brain tumors early on is critical for effective treatment and life-saving efforts. The analysis of the brain with MRI scans is fundamental to the diagnosis because it contains detailed structural views of the brain, which is vital
Externí odkaz:
https://doaj.org/article/e0e53f06c6e8469ca13f8644ba769af0
Autor:
Shree Meenakshi, K., Ananda Kumar, S.
Publikováno v:
In Materials Today: Proceedings
Publikováno v:
Biomass Conversion & Biorefinery; Sep2024, Vol. 14 Issue 18, p22687-22702, 16p
Autor:
Shree Meenakshi, K., Ananda Kumar, S.
Publikováno v:
In Materials Today: Proceedings 2022 65 Part 8:3282-3287
QTL analysis for yield-related traits under water stress at flowering in tropical maize (Zea mays.L)
Publikováno v:
Electronic Journal of Plant Breeding, Vol 11, Iss 2, Pp 656-664 (2020)
In the present study 300 doubled haploid lines from six populations were phenotyped with four yield related traits under water stress at flowering. Quantitative trait loci analysis was done for 263 lines which were genotyped successfully based on ind
Externí odkaz:
https://doaj.org/article/d5b0ceb99dfa4d59b4ad013a96e8dcbb
Publikováno v:
Electronics, Vol 22, Iss 1, Pp 34-39 (2018)
Epilepsy is a condition that affects thousands of people worldwide. In the laboratory setting, it becomes difficult to monitor patients and analyze when the next seizure would recur. Although algorithms have been proposed for deriving when the next s
Externí odkaz:
https://doaj.org/article/28f425a6f3b949ee978a43ddff080560
Akademický článek
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Publikováno v:
Advances in Materials Science; Dec2023, Vol. 23 Issue 4, p27-36, 10p
Publikováno v:
In Journal of Science: Advanced Materials and Devices September 2016 1(3):367-378
Publikováno v:
Cybernetics and Information Technologies, Vol 16, Iss 3, Pp 154-164 (2016)
Many studies have been proposed on clustering protocols for various applications in Wireless Sensor Network (WSN). The main objective of the clustering algorithm is to minimize the energy consumption, deployment of nodes, latency, and fault tolerance
Externí odkaz:
https://doaj.org/article/234ae75251214a74ab55933bb417e0e6