Tools and Simulators for Membrane Computing-A Literature Review. - S. Raghavan 003; K. Chandrasekaran 001 (BIC-TA (1), 2016)

Multi-ENPS simulator support tool with automatic file inter-conversion and multi-membrane execution. - S. Raghavan 003; Yashas Gangadhar; Varun Pattar; K. Chandrasekaran 001 (Biosyst., 2020)

GPUPeP: Parallel Enzymatic Numerical P System simulator with a Python-based interface. - S. Raghavan 003; Shanthanu S. Rai; Rohit M. P; K. Chandrasekaran 001 (Biosyst., 2020)

Workload classification in multi-vm cloud environment using deep neural network model. - Paras Bhagtya; S. Raghavan 003; K. Chandrasekaran 001; Usha D. (SAC, 2021)

Ensemble deep neural network based quality of service prediction for cloud service recommendation. - Parth Sahu; S. Raghavan 003; K. Chandrasekaran 001 (Neurocomputing, 2021)

Membrane-based models for service selection in cloud. - S. Raghavan 003; K. Chandrasekaran 001 (Inf. Sci., 2021)

ENPS-IPROMETHEE: Enzymatic Numerical P System-based Improved Preference Ranking Organization Method for Enrichment Evaluation. - S. Raghavan 003; K. Chandrasekaran 001 (J. Membr. Comput., 2022)