Punit Sharma

Orcid: 0000-0001-7812-7552

According to our database1, Punit Sharma authored at least 29 papers between 2010 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
On structured condition number of rational matrix functions.
J. Comput. Appl. Math., 2026

D33D-Net: A robust dynamic deformable dual-pathway 3D deep neural network with embedded handcrafted features for liver tumor segmentation in CT images.
Appl. Soft Comput., 2026

Lightweight CNN for Fingerprint Spoof Detection in Resource-Constrained Environments.
Proceedings of the 2026 18th International Conference on Knowledge and Smart Technology (KST), 2026

2025
Computing the nearest Ω-admissible descriptor dissipative Hamiltonian system.
CoRR, November, 2025

The potential role of AI agents in transforming nuclear medicine research and cancer management in India.
CoRR, March, 2025

Finding the nearest bounded-real port-Hamiltonian system.
CoRR, January, 2025

Eigenvalue Backward Errors of Rosenbrock Systems and Optimization of Sums of Rayleigh Quotients.
SIAM J. Matrix Anal. Appl., 2025

2024
A robust ischemic stroke lesion segmentation technique using two-pathway 3D deep neural network in MR images.
Multim. Tools Appl., April, 2024

Eigenvalue backward errors of Rosenbrock systems and optimization of sums of Rayleigh quotient.
CoRR, 2024

2023
Additional results on convergence and semiconvergence of three-step alternating iteration scheme for singular linear systems.
CoRR, 2023

2022
Estimation of Structured Distances to Singularity for Matrix Pencils with Symmetry Structures: A Linear Algebra-Based Approach.
SIAM J. Matrix Anal. Appl., 2022

MRI Brain Tumor Segmentation and Analysis using Rough-Fuzzy C-Means and Shape Based Properties.
J. King Saud Univ. Comput. Inf. Sci., 2022

Characterizing matrices with eigenvalues in an LMI region: A dissipative-Hamiltonian approach.
CoRR, 2022

Solving matrix nearness problems via Hamiltonian systems, matrix factorization, and optimization.
CoRR, 2022

2021
Characterization of the dissipative mappings and their application to perturbations of dissipative-Hamiltonian systems.
Numer. Linear Algebra Appl., 2021

An efficient brain tumor image classifier by combining multi-pathway cascaded deep neural network and handcrafted features in MR images.
Medical Biol. Eng. Comput., 2021

Optimizing Rayleigh quotient with symmetric constraints and their applications to perturbations of the structured polynomial eigenvalue problem.
CoRR, 2021

2020
On approximating the nearest Ω-stable matrix.
Numer. Linear Algebra Appl., 2020

An efficient method for PET image denoising by combining multi-scale transform and non-local means.
Multim. Tools Appl., 2020

2019
An efficient wavelet and curvelet-based PET image denoising technique.
Medical Biol. Eng. Comput., 2019

Minimal-norm static feedbacks using dissipative Hamiltonian matrices.
CoRR, 2019

A Multi-class Image Classifier for Assisting in Tumor Detection of Brain Using Deep Convolutional Neural Network.
Proceedings of the Advanced Computing and Systems for Security, 2019

2018
Finding the Nearest Positive-Real System.
SIAM J. Numer. Anal., 2018

Computing the nearest stable matrix pairs.
Numer. Linear Algebra Appl., 2018

2017
On computing the distance to stability for matrices using linear dissipative Hamiltonian systems.
Autom., 2017

2016
Stability Radii for Linear Hamiltonian Systems with Dissipation Under Structure-Preserving Perturbations.
SIAM J. Matrix Anal. Appl., 2016

2015
Structured Eigenvalue Backward Errors of Matrix Pencils and Polynomials with Palindromic Structures.
SIAM J. Matrix Anal. Appl., 2015

2014
Structured Eigenvalue Backward Errors of Matrix Pencils and Polynomials with Hermitian and Related Structures.
SIAM J. Matrix Anal. Appl., 2014

2010
Reconstruction of Aggregation Tree in spite of Faulty Nodes in Wireless Sensor Networks
CoRR, 2010


  Loading...