An application system for automation of constant-time radio frequency electron paramagnetic resonance imaging. - Andrew G. Taube; Sankaran Subramanian; Ramachandran Murugesan; Nallathamby Devasahayam; James B. Mitchell; Murali C. Krishna; John A. Cook (Comput. Methods Programs Biomed., 2003)

Contrast Enhancement of Electron Magnetic Resonance Images Using Linear and Non Linear Unsharp Masking Techniques. - P. Alli; Murali C. Krishna; R. Murugesan (ICVGIP, 2004)

Evaluation of Algebraic Iterative Algorithms for Reconstruction of Electron Magnetic Resonance Images. - S. Sivakumar; Murali C. Krishna; R. Murugesan (ICVGIP, 2004)

Evolution of industrial automation. - R. Murugesan (Int. J. Comput. Appl. Technol., 2006)

A neural network approach for image reconstruction in electron magnetic resonance tomography. - D. Christopher Durairaj; Murali C. Krishna; Ramachandran Murugesan (Comput. Biol. Medicine, 2007)

A Feature Identification System for Electron Magnetic Resonance Tomography: Fusion of Principal Components Transform, Color Quantization and Boundary Information. - Christopher D. Dharmaraj; Murali C. Krishna; R. Murugesan (J. Math. Imaging Vis., 2008)

Multi-Objective GA-Optimized Interpolation Kernels for Reconstruction of High Resolution EMR Images from Low-sampled k-Space Data. - D. Balasubramanian; Murali C. Krishna; R. Murugesan (Int. J. Comput. Intell. Appl., 2009)

Ga-Based Optimization of tapering Windows for Artifact Reduction in Fourier electron Magnetic Resonance Images. - M. Sumathi; Murali C. Krishna; R. Murugesan (Int. J. Comput. Intell. Appl., 2009)

Heuristic wavelet approach for low-dose EPR tomographic reconstruction: An applicability analysis with phantom and in vivo imaging. - V. Thavavel; J. Jaffer Basha; Murali C. Krishna; R. Murugesan (Expert Syst. Appl., 2012)

Innovative feature selection and classification model for heart disease prediction. - Senthil Murugan Nagarajan 001; V. Muthukumaran; R. Murugesan; Rose Bindu Joseph; Meram Munirathanam; Prathik Anandhan (J. Reliab. Intell. Environ., 2022)

Forecasting Bitcoin Price Using Interval Graph and ANN Model: A Novel Approach. - R. Murugesan; V. Shanmugaraja; A. Vadivel (SN Comput. Sci., 2022)

Liver Lesion Detection Using Semantic Segmentation and Chaotic Cuckoo Search Algorithm. - R. Murugesan; K. Devaki (Inf. Technol. Control., 2023)

Improving sentiment analysis of financial news headlines using hybrid Word2Vec-TFIDF feature extraction technique. - Meera George; R. Murugesan (ACLING, 2024)

Sentiment analysis on stocks: a hybrid feature extraction technique on 14 classifiers. - Meera George; R. Murugesan (Int. J. Appl. Decis. Sci., 2025)