Shihabudheen KV

According to our database, Shihabudheen KV authored at least 12 papers between 2017 and 2023.

Collaborative distances:

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

2023

Observer based stabilization of linear time delay systems using new augmented LKF.

V. Dev. Deepak, N. K. Arun, K. V. Shihabudheen

IFAC J. Syst. Control., December, 2023

Detection of High Impedance Faults in Power Lines using Empirical Mode Decomposition with Intelligent Classification Techniques.

Shihabudheen KV, Sunidhi Gupta, Mohammed Mansoor O

Comput. Electr. Eng., August, 2023

Neural architecture search algorithm to optimize deep Transformer model for fault detection in electrical power distribution systems.

Jibin B. Thomas, K. V. Shihabudheen

Eng. Appl. Artif. Intell., April, 2023

CNN-Based Transformer Model for Fault Detection in Power System Networks.

Jibin B. Thomas, Saurabh G. Chaudhari, Shihabudheen KV, Nishchal K. Verma

IEEE Trans. Instrum. Meas., 2023

2022

A novel hybrid short-term electricity forecasting technique for residential loads using Empirical Mode Decomposition and Extreme Learning Machines.

Sulaiman Syed Mohamed, P. Aruna Jeyanthy, D. Devaraj, K. V. Shihabudheen

Comput. Electr. Eng., 2022

2019

Detection of High Impedance Fault using Machine Learning Techniques.

K. V. Shihabudheen, Bijuna Kunju, Imthias Ahammed T. P., Akshay Guruvarurappan, Jibin Jose, D. Keerthana, P. B. Revathi

Proceedings of the TENCON 2019, 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

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

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