N
Neeraj Sharma
Researcher at Indian Institute of Technology (BHU) Varanasi
Publications - 183
Citations - 2057
Neeraj Sharma is an academic researcher from Indian Institute of Technology (BHU) Varanasi. The author has contributed to research in topics: Computer science & Image segmentation. The author has an hindex of 14, co-authored 134 publications receiving 1349 citations. Previous affiliations of Neeraj Sharma include Indian Institutes of Technology & Institute of Medical Sciences, Banaras Hindu University.
Papers
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Dynamic Stochastic Resonance Based Diffusion-Weighted Magnetic Resonance Image Enhancement Using Multi-Objective Particle Swarm Optimization
TL;DR: This paper presents an approach that optimally finds the bistability parameters and number of iterations for the maximization of competitive image quality indices: contrast enhancement factor and mean opinion score using multi-objective particle swarm optimization.
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Novel force myography sensor to measure muscle contractions for controlling hand prostheses
TL;DR: In this paper, a dual-channel, noninvasive force myography (FMG) sensor was used to extract muscle contraction information for controlling hand prostheses, using a pair of force myographers.
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Enhancement and Intensity Inhomogeneity Correction of Diffusion-Weighted MR Images of Neonatal and Infantile Brain Using Dynamic Stochastic Resonance
TL;DR: The proposed algorithm outperforms the post processing based homomorphic filtering, local entropy minimization with spline model and multiplicative intrinsic component optimization methods and may be helpful in accurate diagnosis.
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A Soft Computing-Based Analysis of Cutting Rate and Recast Layer Thickness for AZ31 Alloy on WEDM Using RSM-MOPSO
Kapil Goyal,Neeraj Sharma,Rahul Dev Gupta,Gurpreet Iqbal Singh,Deepika Rani,Harish Kumar Banga,Raman Suresh Kumar,Danil Yurievich Pimenov,Khaled Giasin +8 more
TL;DR: The error percentage of ±5.3% between the experimental results and predicted solutions confirms the suitability of the proposed hybrid approach for WEDM of AZ31, and the optimal solution suggested by the hybrid approach of RSM-MOPSO is verified using a confirmation test on the random setting indicated by the Hybrid algorithm.
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Development of Quality Microholes by Electrical Discharge drilling on Al/SiC Composite using of Grey-Desirability Approach
TL;DR: In this paper , an attempt was made to drill microholes on Al/SiC composite, which was made at different machining indicators to analyze its effect on drilling rate (DR), electrode wear ratio (EWR), hole overcut (HO), and circularity (C).