Shihabudheen KV - researchr alias

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Viewing Publication 1 - 7 from 7

2023

Detection of High Impedance Faults in Power Lines using Empirical Mode Decomposition with Intelligent Classification TechniquesShihabudheen KV, Sunidhi Gupta, Mohammed Mansoor O. cee, 109(Part B):108770, August 2023. [doi]

CNN-Based Transformer Model for Fault Detection in Power System NetworksJibin B. Thomas, Saurabh G. Chaudhari, Shihabudheen KV, Nishchal K. Verma. tim, 72:1-10, 2023. [doi]

2018

Recent advances in neuro-fuzzy system: A surveyShihabudheen KV, G. N. Pillai. kbs, 152:136-162, 2018. [doi]

Particle swarm optimization based extreme learning neuro-fuzzy system for regression and classificationShihabudheen KV, M. Mahesh, G. N. Pillai. eswa, 92:474-484, 2018. [doi]

2017

Regularized extreme learning adaptive neuro-fuzzy algorithm for regression and classificationShihabudheen KV, G. N. Pillai. kbs, 127:100-113, 2017. [doi]

Prediction of landslide displacement with controlling factors using extreme learning adaptive neuro-fuzzy inference system (ELANFIS)Shihabudheen KV, G. N. Pillai, Bipin Peethambaran. asc, 61:892-904, 2017. [doi]

Wind speed forecasting using empirical mode decomposition and regularized ELANFISG. N. Pillai, Shihabudheen KV. ssci 2017: 1-7 [doi]

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