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K. Marimuthu

Researcher at VIT University

Publications -  23
Citations -  556

K. Marimuthu is an academic researcher from VIT University. The author has contributed to research in topics: Harris Hip Score & Machining. The author has an hindex of 11, co-authored 21 publications receiving 428 citations. Previous affiliations of K. Marimuthu include Coimbatore Institute of Technology & All India Institute of Medical Sciences.

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Journal ArticleDOI

Optimization of machining parameters in turning of Al−SiC−Gr hybrid metal matrix composites using grey-fuzzy algorithm

TL;DR: In this paper, the authors tried to find the optimal level of machining parameters for multi-performance characteristics in turning of Al−SiC−Gr hybrid composites using grey-fuzzy algorithm.
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Intralesional autologous mesenchymal stem cells in management of osteonecrosis of femur: a preliminary study

TL;DR: Implantation of autologous bone marrow stem cells in avascular necrosis of femoral head is a safe and effective procedure and has better outcome than bone marrow for early stage of avascular Necrosis of Femoral head.
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Prospective randomized trial comparing open reduction and internal fixation with minimally invasive reduction and percutaneous fixation in managing displaced intra-articular calcaneal fractures

TL;DR: MIRPF is associated with fewer wound-healing problems, better functional outcome and earlier return to work compared with ORIF, and the functional outcome score (CNF scale) at one year of follow-up was better following MIRPF compared withORIF.
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Outcome of short proximal femoral nail antirotation and dynamic hip screw for fixation of unstable trochanteric fractures. A randomised prospective comparative trial.

TL;DR: The PFNA group had a better functional outcome than the DHS group and there was no significant difference between 1 year mortality rates for the two groups.
Proceedings ArticleDOI

An efficient technique for preventing SQL injection attack using pattern matching algorithm

TL;DR: A detection and prevention technique for preventing SQL Injection Attack (SQLIA) using Aho-Corasick pattern matching algorithm and an overview of the architecture is proposed.