Zobrazeno 1 - 10
of 114
pro vyhledávání: '"K., Manimekalai"'
Publikováno v:
Chemical Physics Impact, Vol 7, Iss , Pp 100274- (2023)
Thin film samples of pure CeO2 and Fe-doped CeO2 were prepared via a homemade spray pyrolysis set-up with an aim to explore its suitability for use as functional materials in spintronics applications. Compressed air was used as a carrier gas to spray
Externí odkaz:
https://doaj.org/article/29ad38cc4a074219b31f9d31514196b8
Publikováno v:
Chemical Physics Impact, Vol 6, Iss , Pp 100213- (2023)
Zirconia-Vanadia nanocomposite synthesized by coprecipitation-calcination technique was prepared. XRD plots confirmed the presence of both materials in the composite. SEM and TEM pictures showed the formation of spherical and needle shaped structures
Externí odkaz:
https://doaj.org/article/b89330e4c17444699f6bbf2de49b9bd6
Publikováno v:
SBV Journal of Basic, Clinical and Applied Health Science. 6:33-38
Publikováno v:
Biomedical and Pharmacology Journal. 16:179-188
Background: Patient adherence to treatment is crucial for successful therapy while treating chronic conditions like diabetes mellitus. Medication possession ratio (MPR) and proportion of Days Covered (PDC) are the most common measures of medication a
Autor:
Dr. Venugopal Jayapal, Dr. V Subha, Dr. Jothimani Pradeep, Dr. Kartik Janardan Salwe, Dr. K Manimekalai, Dr. R Rathinamala, Dr. A Rajendra Kumar, Dr. B Rayvathy, Dr. S Ravi Kumar
Publikováno v:
Journal of Pharmacognosy and Phytochemistry. 12:189-193
Autor:
K Manimekalai, A Kavitha
Publikováno v:
ICTACT Journal on Soft Computing, Vol 8, Iss 3, Pp 1655-1662 (2018)
Missing Data imputation is an important research topic in data mining. In general, real data contains missing values. The presence of the missing value in the data set has a major problem for precise prediction. The objective of this paper is to high
Externí odkaz:
https://doaj.org/article/a41be5d4b6d44d72a0f57e7fd013e954
Publikováno v:
Journal of Pharmacognosy and Phytochemistry. 11:57-60
Publikováno v:
Materials Today: Proceedings.
Autor:
K. Manimekalai, A. Kavitha
Publikováno v:
IoT-enabled Convolutional Neural Networks: Techniques and Applications ISBN: 9781003393030
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25a66f751d8ed39a7bac2e62ef6377ea
https://doi.org/10.1201/9781003393030-7
https://doi.org/10.1201/9781003393030-7
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