Search Results - "Rakesh, V. B."

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  1. 1

    Lipid biomarkers as organic matter source indicators of estuarine mangrove ecosystems by Ratheesh Kumar, C. S., Gayathry, O. S., Rakesh, V. B., Sudha, A., Mohan, Roshni, Salas, P. M., Resmi, P., Joseph, Manju Mary, Shameem, K., Chandramohanakumar, N.

    Published in Chemistry and ecology (03-07-2022)
    “…Surface sediments from three mangrove forests and three adjoining stations of the Cochin estuary were analysed for lipid biomarkers along with bulk parameters…”
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    Journal Article
  2. 2

    Occurrence of Kryptoglanis shajii, an enigmatic subterranean-spring catfish (Siluriformes, Incertae sedis) in the channels of paddy fields by Binoy, V. V., Roshan, K. S., Rakesh, V. B.

    Published in Current science (Bangalore) (25-01-2012)
    “…Kryptoglanis shajii is a recently discovered catfish from the extreme western side of the Western Ghats, Chalakudy in Thrissur District, Kerala, India. The…”
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    Journal Article
  3. 3

    Geochemical distribution and dynamics of sedimentary phosphorous fractions in Vembanad wetland ecosystem by O.S., Gayathri, J., Meenakshi, P., Resmi, A.S., Ragi, V.B., Rakesh, P.M., Salas, C.S., Ratheesh Kumar

    Published in Regional studies in marine science (01-05-2021)
    “…Fraction composition of sediment bound phosphorous (P) in Vembanad wetland was investigated to explore the distribution, dynamics and bioavailability of P…”
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    Journal Article
  4. 4

    Web based Wi-Fi automated soil moisture controller by Sunil, Kumar K. N., Rakesh, B. V., Ahmed, Saquib, Sharath, M. R., Ananthswamy, Ramprasad, Saqquaf, S. S. M.

    “…India is a land of agriculture. Three fourth of the Indian population depends on agriculture. Agriculture contributes to 16% of overall GDP and 10% of exports…”
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    Conference Proceeding
  5. 5

    An Adaptively Automated Five-Class Fingerprint Classification Scheme Using Kohonens Feature Map and fuzzy ant clustering by centroid positioning by Srinivasan, T., Shivashankar, S., Archana, V., Rakesh, B.

    “…In this paper we present a novel adaptively automated fingerprint classification scheme, which is computationally efficient and resolves both intra- class…”
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    Conference Proceeding