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S. Karthik

Researcher at SNS College of Technology

Publications -  124
Citations -  1976

S. Karthik is an academic researcher from SNS College of Technology. The author has contributed to research in topics: Computer science & Routing protocol. The author has an hindex of 18, co-authored 106 publications receiving 1459 citations. Previous affiliations of S. Karthik include Indian Institute of Technology Kharagpur & Indian Institute of Technology Kanpur.

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Dynamic multi-objective optimization and decision-making using modified NSGA-II: a case study on hydro-thermal power scheduling

TL;DR: This systematic study is able to find a minimum frequency of change allowed in a problem for two dynamic EMO procedures to adequately track Pareto-optimal frontiers on-line and suggest an automatic decision-making procedure for arriving at a dynamic single optimal solution on- line.
Journal ArticleDOI

Determination of mechanical properties of intra-layer abaca-jute-glass fiber reinforced composite

TL;DR: In this paper, the fabrication and evaluation of hybrid natural fiber composite using jute and abaca fibers along with glass fibers is discussed, where the composites are manufactured with three different fiber orientations and the compositions are varied in three different proportions.
Journal ArticleDOI

Photoresponsive quinoline tethered fluorescent carbon dots for regulated anticancer drug delivery

TL;DR: A photoresponsive nano drug delivery system was constructed using two new ingredients: fluorescent carbon dots and a quinoline based phototrigger for efficient anticancer drug release using both one-photon and two-Photon excitation.
Journal ArticleDOI

Photoresponsive coumarin-tethered multifunctional magnetic nanoparticles for release of anticancer drug.

TL;DR: In vitro biological studies revealed that coumarin tethered Fe/Si MNPs of ~9 nm size efficiently delivered the anticancer drug chlorambucil into cancer cells and thereby improving the drug action to kill the cancer cells upon irradiation.
Journal ArticleDOI

Multi-objective optimization using Taguchi based grey relational analysis in turning of Rock dust reinforced Aluminum MMC

TL;DR: In this article, the optimization of material and machining parameters for surface finish and Material Removal Rate (MRR) enhancements while turning Aluminium/Rock dust composite through Taguchi and Grey Relational Analysis (GRA).