G. N. Pillai

According to our database, G. N. Pillai authored at least 18 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Cooperative Secondary Voltage Control in Microgrids via Ensemble-Critic Multi-Agent Reinforcement Learning.

Manas Shil, G. N. Pillai, Manu Kumar Gupta

Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026

2024

Multi-Agent Deep Reinforcement Learning based Secondary Voltage Control of Inverter-Based AC Microgrids.

Manas Shil, G. N. Pillai, Manu Kumar Gupta

Proceedings of the 50th Annual Conference of the IEEE Industrial Electronics Society, 2024

2021

K-Means clustering based Extreme Learning ANFIS with improved interpretability for regression problems.

C. P. Pramod, G. N. Pillai

Knowl. Based Syst., 2021

2019

Multisurface Proximal SVM Based Decision Trees For Heart Disease Classification.

Hrituraj Singh, N. V. Navaneeth, G. N. Pillai

Proceedings of the TENCON 2019, 2019

Gene Expression Prediction Using a Deep 1D Convolution Neural Network.

Vatsalya Chaubey, Maya S. Nair, G. N. Pillai

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018

Recent advances in neuro-fuzzy system: A survey.

Shihabudheen KV, G. N. Pillai

Knowl. Based Syst., 2018

Particle swarm optimization based extreme learning neuro-fuzzy system for regression and classification.

Shihabudheen KV, M. Mahesh, G. N. Pillai

Expert Syst. Appl., 2018

A Linguistically Interpretable ELANFIS for Classification Problems.

C. P. Pramod, G. N. Pillai

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Wind Speed Forecasting Using Improved Random Vector Functional Link Network.

Moreira F. C. Nhabangue, G. N. Pillai

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Wind Speed and Solar Irradiance Prediction Using Advanced Neuro-Fuzzy Inference System.

K. V. Shihabudheen, G. N. Pillai

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

SqueezeGAN: Image to Image Translation With Minimum Parameters.

Sachin Kelkar, Chetanya Rastogi, Sparsh Gupta, G. N. Pillai

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Regularized extreme learning adaptive neuro-fuzzy algorithm for regression and classification.

Shihabudheen KV, G. N. Pillai

Knowl. Based Syst., 2017

Prediction of landslide displacement with controlling factors using extreme learning adaptive neuro-fuzzy inference system (ELANFIS).

Shihabudheen KV, G. N. Pillai, Bipin Peethambaran

Appl. Soft Comput., 2017

Wind speed forecasting using empirical mode decomposition and regularized ELANFIS.

G. N. Pillai, Shihabudheen KV

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016

Prediction of ground motion parameters using randomized ANFIS (RANFIS).

Sonia Thomas, G. N. Pillai, Kirat Pal, Pushpak Jagtap

Appl. Soft Comput., 2016

2014

Interval type-2 fuzzy logic controller design for TCSC.

Manoj Kumar Panda, G. N. Pillai, Vijay Kumar

Evol. Syst., 2014

Extreme learning ANFIS for control applications.

G. N. Pillai, Jagtap Pushpak, M. Germin Nisha

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Control and Automation, 2014

2012

Comparative Performance Analysis of Particle Swarm Optimization and Interval Type-2 Fuzzy Logic-Based TCSC Controller Design.

Manoj Kumar Panda, G. N. Pillai, Vijay Kumar

Proceedings of the Second International Conference on Soft Computing for Problem Solving, 2012