Search Results - "Nagendiran, S."

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  1. 1

    Synthesis and characterization of polyhedral oligomeric silsesquioxane–siloxane-modified polyimide hybrid nanocomposites by Chandramohan, A, Nagendiran, S, Alagar, M

    Published in Journal of composite materials (01-04-2012)
    “…Polyhedral oligomeric silsesquioxane (POSS)–siloxane-modified polyimide (PI) hybrid nanocomposites were prepared by the reaction of siloxane-modified polyamic…”
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    Journal Article
  2. 2

    Mechanical and morphological properties of organic-inorganic, hybrid, clay-filled, and cyanate ester/siloxane toughened epoxy nanocomposites by Nagendiran, S., Premkumar, S., Alagar, M.

    Published in Journal of applied polymer science (15-10-2007)
    “…Organic–inorganic hybrids involving cyanate ester and hydroxyl‐terminated polydimethylsiloxane (HTPDMS) modified diglycidyl ether of bisphenol A (DGEBA; epoxy…”
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    Journal Article
  3. 3

    Synthesis and characterization of Au/POSS composite powder for bio-fuel cells and antibiotic applications by Selvaraj, V, Grace, A Nirmala, Jothibasu, S, Nagendiran, S, Alagar, M

    Published in Journal of nanoscience and nanotechnology (01-10-2009)
    “…Au(0)/POSS (Octa(aminophenyl) Silsesquioxane) composite was synthesized by chemical reduction of auric acid using glycerol as reducing agent. The morphology…”
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    Journal Article
  4. 4

    Fish Classification Using Convolutional Neural Network by V, Deepika, R, Jaya, M, Dayana, S, Nagendiran, M, Haritha, Johnson, Sandra

    “…In the current generation, people's knowledge about the fish is reducing. So, they couldn't classify the fishes based on their image because they look similar…”
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    Conference Proceeding
  5. 5

    An Empirical Evaluation of Machine Learning Algorithms for Groundwater Quality Classification by Domakonda, Vinay Kumar, Sasirekha, K., Sangeetha, S., L, Umasankar, S, Nagendiran, Kumar, M Jogendra

    “…Groundwater is an effective monitoring system is essential, one of the most vulnerable resources. The use of spatial data to measure spatial changes in…”
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    Conference Proceeding
  6. 6

    Secure Sensitive Information on IoT using Machine Learning by Nagendiran, S., Renugadevi, R., Kumar, R. P. Anto, Sasirekha, K., Harini, R.

    “…In a number of industries, including banking, cybersecurity, healthcare, and others, risk assessment is an essential procedure. By automating data analysis,…”
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    Conference Proceeding
  7. 7

    Preparation and characterization of vinyltriethoxysilane grafted ethylene propylene diene terpolymer/linear low density polyethylene (EPDM-g-VTES/LLDPE) blends by Alagar, M., Abdul Majeed, S. M., Nagendiran, S.

    Published in Polymers for advanced technologies (01-08-2005)
    “…Graft polymerization of vinyltriethoxysilane (VTES) onto ethylene‐propylene‐diene terpolymer (EPDM) was carried out in toluene using dicumylperoxide (DCP) as…”
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    Journal Article
  8. 8

    DiabPrednet: development of attention-based long short-term memory-based diabetes prediction model with optimal weighted feature fusion mechanism by Nagendiran, S., Rohini, S., Jagadeesan, P., Shankari, S., Harini, R.

    “…Machine learning is a computer technique that automatically learns from experience and enhances the effectiveness of producing more precise diabetes…”
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    Journal Article