Narasimalu Srikanth

According to our database, Narasimalu Srikanth authored at least 14 papers between 2006 and 2020.

Collaborative distances:

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

2020

Learning elastic memory online for fast time series forecasting.

Subhrajit Samanta, Mahardhika Pratama, Suresh Sundaram, Narasimalu Srikanth

Neurocomputing, 2020

A Dual Network Solution (DNS) for Lag-Free Time Series Forecasting.

Subhrajit Samanta, Mahardhika Pratama, Suresh Sundaram, Narasimalu Srikanth

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Interval prediction of wave energy characteristics using meta-cognitive interval type-2 fuzzy inference system.

Nguyen Anh, Suresh Sundaram, Mahardhika Pratama, Narasimalu Srikanth

Knowl. Based Syst., 2019

Unit commitment using time-ahead priority list and heterogeneous comprehensive learning PSO.

Nandar Lynn, Ponnuthurai Nagaratnam Suganthan, Narasimalu Srikanth, Trinadh Pamulapati, Rammohan Mallipeddi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

RIT2FIS: A Recurrent Interval Type 2 Fuzzy Inference System and its Rule Base Estimation.

Subhrajit Samanta, Andre Hartanto, Mahardhika Pratama, Suresh Sundaram, Narasimalu Srikanth

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Temporal Variation of the Pressure from a Steady Impinging Jet Model of Dry Microburst-Like Wind Using URANS.

Martin Skote, Tze Siang Sim, Narasimalu Srikanth

Comput., 2018

Wave Forecasting using Meta-cognitive Interval Type-2 Fuzzy Inference System.

Nguyen Anh, Mukesh Prasad, Narasimalu Srikanth, Suresh Sundaram

Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

Wind Speed Intervals Prediction using Meta-cognitive Approach.

Nguyen Anh, Mukesh Prasad, Narasimalu Srikanth, Suresh Sundaram

Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

2016

A Novel Empirical Mode Decomposition With Support Vector Regression for Wind Speed Forecasting.

Ye Ren, Ponnuthurai Nagaratnam Suganthan, Narasimalu Srikanth

IEEE Trans. Neural Networks Learn. Syst., 2016

Random vector functional link network for short-term electricity load demand forecasting.

Ye Ren, Ponnuthurai N. Suganthan, Narasimalu Srikanth, Gehan A. J. Amaratunga

Inf. Sci., 2016

An interval type-2 fuzzy inference system and its meta-cognitive learning algorithm.

A. K. Das, Nguyen Anh, Suresh Sundaram, Narasimalu Srikanth

Evol. Syst., 2016

2015

Nonlinearly enhanced vortex induced vibrations for energy harvesting.

Bao Huy Huynh, Tegoeh Tjahjowidodo, Zhaowei Zhong, Youyi Wang, Narasimalu Srikanth

Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2015

2013

A hybrid ARIMA-DENFIS method for wind speed forecasting.

Ren Ye, Ponnuthurai N. Suganthan, Narasimalu Srikanth, Soham Sarkar

Proceedings of the FUZZ-IEEE 2013, 2013

2006

Effect of wire diameter on the thermosonic bond reliability.

Sarangapani Murali, Narasimalu Srikanth, Charles J. Vath III

Microelectron. Reliab., 2006