Discrete Wavelet Transform and Singular Value Decomposition Based ECG Steganography for Secured Patient Information Transmission. - S. Edward Jero; Palaniappan Ramu; Ramakrishnan Swaminathan (J. Medical Syst., 2014)

Steganography in arrhythmic electrocardiogram signal. - S. Edward Jero; Palaniappan Ramu; Ramakrishnan Swaminathan (EMBC, 2015)

ECG steganography using curvelet transform. - S. Edward Jero; Palaniappan Ramu; Ramakrishnan Swaminathan (Biomed. Signal Process. Control., 2015)

A robust ECG steganography method. - S. Edward Jero; Palaniappan Ramu (ISMICT, 2016)

ECG Steganography Using Contourlet Transform For Transmission of Secured Patient Identity. - Edward Jero Sam Jeeva Raj; Palaniappan Ramu (SG-CRC, 2016)

Pull out strength calculator for pedicle screws using a surrogate ensemble approach. - Vicky Varghese; Palaniappan Ramu; Venkatesh Krishnan; Gurunathan Saravana Kumar (Comput. Methods Programs Biomed., 2016)

Modelling with stakeholders - Next generation. - Alexey A. Voinov; Nagesh Kolagani; Michael K. McCall; Pierre Glynn; Marit E. Kragt; Frank O. Ostermann; Suzanne A. Pierce; Palaniappan Ramu (Environ. Model. Softw., 2016)

Imperceptibility - Robustness tradeoff studies for ECG steganography using Continuous Ant Colony Optimization. - S. Edward Jero; Palaniappan Ramu; Ramakrishnan Swaminathan (Expert Syst. Appl., 2016)

A participatory framework for developing public participation GIS solutions to improve resource management systems. - Nagesh Kolagani; Palaniappan Ramu (Int. J. Geogr. Inf. Sci., 2017)

Interpretable Self-Organizing Maps (iSOM) for Visualization of Pareto Front in Multiple Objective Optimization. - Deepak Nagar; Palaniappan Ramu; Kalyanmoy Deb (EMO, 2021)

An Automated Approach to Differentiate Drug Resistant Tuberculosis in Chest X-ray Images Using Projection Profiling and Mediastinal Features. - Sukanta Kumar Tulo; Palaniappan Ramu; Ramakrishnan Swaminathan (MIE, 2021)

Visualization-aided Multi-criterion Decision-making Using Reference Direction Based Pareto Race. - Deepanshu Yadav; Palaniappan Ramu; Kalyanmoy Deb (SSCI, 2022)

A novel data-driven visualization of n-dimensional feasible region using interpretable self-organizing maps (iSOM). - Deepak Nagar; Kiran Pannerselvam; Palaniappan Ramu (Neural Networks, 2022)

Finding Robust Solutions for Many-Objective Optimization Using NSGA-III. - Deepanshu Yadav; Palaniappan Ramu; Kalyanmoy Deb (CEC, 2023)

Multi-objective Robust Optimization and Decision-Making Using Evolutionary Algorithms. - Deepanshu Yadav; Palaniappan Ramu; Kalyanmoy Deb (GECCO, 2023)

Visualization-aided multi-criteria decision-making using interpretable self-organizing maps. - Deepanshu Yadav; Deepak Nagar; Palaniappan Ramu; Kalyanmoy Deb (Eur. J. Oper. Res., 2023)

Visualization and analysis of Pareto-optimal fronts using interpretable self-organizing map (iSOM). - Deepak Nagar; Palaniappan Ramu; Kalyanmoy Deb (Swarm Evol. Comput., 2023)

L-moments and Bayesian inference for probabilistic risk assessment with scarce samples that include extremes. - Deepan Jayaraman; Palaniappan Ramu (Reliab. Eng. Syst. Saf., 2023)

Evaluation of geometric differences between right and left lungs in bacterial pneumonia chest radiographs. - Sukanta Kumar Tulo; Satyavratan Govindarajan; Palaniappan Ramu; Ramakrishnan Swaminathan (Biomed. Signal Process. Control., 2023)

Transfer learning in optimization: Interpretable self-organizing maps driven similarity indices to identify candidate source functions. - Suja Shree Ravichandran; Kannan Sekar; Vinay Ramanath; Palaniappan Ramu (Expert Syst. Appl., 2023)

Interpretable self-organizing map assisted interactive multi-criteria decision-making following Pareto-Race. - Deepanshu Yadav; Palaniappan Ramu; Kalyanmoy Deb (Appl. Soft Comput., 2023)

An Updated Performance Metric for Preference-Based Evolutionary Multi-Objective Optimization Algorithms. - Deepanshu Yadav; Palaniappan Ramu; Kalyanmoy Deb (GECCO, 2024)

Reliability-Based MCDM Using Objective Preferences Under Variable Uncertainty. - Deepanshu Yadav; Palaniappan Ramu; Kalyanmoy Deb (EMO (2), 2025)

Machine Learning-Assisted Constraint Handling Under Variable Uncertainty for Preference-based Multi-Objective Optimization. - Deepanshu Yadav; Palaniappan Ramu; Kalyanmoy Deb (GECCO, 2025)

A directed batch growing self-organizing map based niching differential evolution for multimodal optimization problems. - Mahesh Shankar; Palaniappan Ramu; Kalyanmoy Deb (Appl. Soft Comput., 2025)

Handling objective preference and variable uncertainty in evolutionary multi-objective optimization. - Deepanshu Yadav; Palaniappan Ramu; Kalyanmoy Deb (Swarm Evol. Comput., 2025)