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ORCIDShihabudheen KV
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2020 – today
- 2024
[j10]V. Dev. Deepak
, N. K. Arun, K. V. Shihabudheen:
An investigation into the stability of helicopter control system under the influence of time delay using an improved LKF. J. Frankl. Inst. 361(10): 106913 (2024)- 2023
- [j9]Shihabudheen KV, Sunidhi Gupta, Mohammed Mansoor O:
Detection of High Impedance Faults in Power Lines using Empirical Mode Decomposition with Intelligent Classification Techniques. Comput. Electr. Eng. 109(Part B): 108770 (2023) - [j8]Jibin B. Thomas, K. V. Shihabudheen:
Neural architecture search algorithm to optimize deep Transformer model for fault detection in electrical power distribution systems. Eng. Appl. Artif. Intell. 120: 105890 (2023) - [j7]V. Dev. Deepak, N. K. Arun, K. V. Shihabudheen:
Observer based stabilization of linear time delay systems using new augmented LKF. IFAC J. Syst. Control. 26: 100231 (2023) - [j6]Jibin B. Thomas, Saurabh G. Chaudhari, Shihabudheen KV, Nishchal K. Verma:
CNN-Based Transformer Model for Fault Detection in Power System Networks. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - 2022
- [j5]Sulaiman Syed Mohamed, P. Aruna Jeyanthy, D. Devaraj, K. V. Shihabudheen:
A novel hybrid short-term electricity forecasting technique for residential loads using Empirical Mode Decomposition and Extreme Learning Machines. Comput. Electr. Eng. 98: 107663 (2022)
2010 – 2019
- 2019
- [c3]K. V. Shihabudheen, Bijuna Kunju, Imthias Ahammed T. P., Akshay Guruvarurappan, Jibin Jose, D. Keerthana, P. B. Revathi:
Detection of High Impedance Fault using Machine Learning Techniques. TENCON 2019: 2117-2122 - 2018
- [j4]Shihabudheen KV, M. Mahesh, G. N. Pillai:
Particle swarm optimization based extreme learning neuro-fuzzy system for regression and classification. Expert Syst. Appl. 92: 474-484 (2018) - [j3]Shihabudheen KV, G. N. Pillai:
Recent advances in neuro-fuzzy system: A survey. Knowl. Based Syst. 152: 136-162 (2018) - [c2]K. V. Shihabudheen, G. N. Pillai:
Wind Speed and Solar Irradiance Prediction Using Advanced Neuro-Fuzzy Inference System. IJCNN 2018: 1-7 - 2017
- [j2]Shihabudheen KV, G. N. Pillai, Bipin Peethambaran:
Prediction of landslide displacement with controlling factors using extreme learning adaptive neuro-fuzzy inference system (ELANFIS). Appl. Soft Comput. 61: 892-904 (2017) - [j1]Shihabudheen KV, G. N. Pillai:
Regularized extreme learning adaptive neuro-fuzzy algorithm for regression and classification. Knowl. Based Syst. 127: 100-113 (2017) - [c1]G. N. Pillai, Shihabudheen KV:
Wind speed forecasting using empirical mode decomposition and regularized ELANFIS. SSCI 2017: 1-7
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