Reconstruction of Aggregation Tree in spite of Faulty Nodes in Wireless Sensor Networks - Punit Sharma; Partha Sarathi Mandal 001 (CoRR, 2010)

Structured Eigenvalue Backward Errors of Matrix Pencils and Polynomials with Hermitian and Related Structures. - Shreemayee Bora; Michael Karow; Christian Mehl; Punit Sharma (SIAM J. Matrix Anal. Appl., 2014)

Structured Eigenvalue Backward Errors of Matrix Pencils and Polynomials with Palindromic Structures. - Shreemayee Bora; Michael Karow; Christian Mehl; Punit Sharma (SIAM J. Matrix Anal. Appl., 2015)

Stability Radii for Linear Hamiltonian Systems with Dissipation Under Structure-Preserving Perturbations. - Christian Mehl; Volker Mehrmann; Punit Sharma (SIAM J. Matrix Anal. Appl., 2016)

On computing the distance to stability for matrices using linear dissipative Hamiltonian systems. - Nicolas Gillis; Punit Sharma (Autom., 2017)

Computing the nearest stable matrix pairs. - Nicolas Gillis; Volker Mehrmann; Punit Sharma (Numer. Linear Algebra Appl., 2018)

Finding the Nearest Positive-Real System. - Nicolas Gillis; Punit Sharma (SIAM J. Numer. Anal., 2018)

A Multi-class Image Classifier for Assisting in Tumor Detection of Brain Using Deep Convolutional Neural Network. - Abhishek Bal; Minakshi Banerjee; Punit Sharma; Rituparna Chaki (ACSS (2), 2019)

Minimal-norm static feedbacks using dissipative Hamiltonian matrices. - Nicolas Gillis; Punit Sharma (CoRR, 2019)

An efficient wavelet and curvelet-based PET image denoising technique. - Abhishek Bal; Minakshi Banerjee; Punit Sharma; Mausumi Maitra (Medical Biol. Eng. Comput., 2019)

An efficient method for PET image denoising by combining multi-scale transform and non-local means. - Abhishek Bal; Minakshi Banerjee; Rituparna Chaki; Punit Sharma (Multim. Tools Appl., 2020)

On approximating the nearest Ω-stable matrix. - Neelam Choudhary; Nicolas Gillis; Punit Sharma (Numer. Linear Algebra Appl., 2020)

Optimizing Rayleigh quotient with symmetric constraints and their applications to perturbations of the structured polynomial eigenvalue problem. - Anshul Prajapati; Punit Sharma (CoRR, 2021)

An efficient brain tumor image classifier by combining multi-pathway cascaded deep neural network and handcrafted features in MR images. - Abhishek Bal; Minakshi Banerjee; Rituparna Chaki; Punit Sharma (Medical Biol. Eng. Comput., 2021)

Characterization of the dissipative mappings and their application to perturbations of dissipative-Hamiltonian systems. - Mohit Kumar Baghel; Nicolas Gillis; Punit Sharma (Numer. Linear Algebra Appl., 2021)

Solving matrix nearness problems via Hamiltonian systems, matrix factorization, and optimization. - Nicolas Gillis; Punit Sharma (CoRR, 2022)

Characterizing matrices with eigenvalues in an LMI region: A dissipative-Hamiltonian approach. - Neelam Choudhary; Nicolas Gillis; Punit Sharma (CoRR, 2022)

MRI Brain Tumor Segmentation and Analysis using Rough-Fuzzy C-Means and Shape Based Properties. - Abhishek Bal; Minakshi Banerjee; Amlan Chakrabarti; Punit Sharma (J. King Saud Univ. Comput. Inf. Sci., 2022)

Estimation of Structured Distances to Singularity for Matrix Pencils with Symmetry Structures: A Linear Algebra-Based Approach. - Anshul Prajapati; Punit Sharma (SIAM J. Matrix Anal. Appl., 2022)

Additional results on convergence and semiconvergence of three-step alternating iteration scheme for singular linear systems. - Vaibhav Shekhar; Punit Sharma (CoRR, 2023)

Eigenvalue backward errors of Rosenbrock systems and optimization of sums of Rayleigh quotient. - Ding Lu; Anshul Prajapati; Punit Sharma; Shreemayee Bora (CoRR, 2024)

A robust ischemic stroke lesion segmentation technique using two-pathway 3D deep neural network in MR images. - Abhishek Bal; Minakshi Banerjee; Rituparna Chaki; Punit Sharma (Multim. Tools Appl., 2024)

Eigenvalue Backward Errors of Rosenbrock Systems and Optimization of Sums of Rayleigh Quotients. - Ding Lu; Anshul Prajapati; Punit Sharma; Shreemayee Bora (SIAM J. Matrix Anal. Appl., 2025)

Finding the nearest bounded-real port-Hamiltonian system. - Karim Cherifi; Nicolas Gillis; Punit Sharma (CoRR, 2025)

The potential role of AI agents in transforming nuclear medicine research and cancer management in India. - Rajat Vashistha; Arif Gulzar; Parveen Kundu; Punit Sharma; Mark Brunstein; Viktor Vegh (CoRR, 2025)