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Krishna Kumar Nagalingam
Krishna Kumar Nagalingam
Kongsberg Maritime AS
Verified email at kongsberg.com
Title
Cited by
Cited by
Year
Regional ocean wave height prediction using sequential learning neural networks
K Kumar N, R Savitha, A Al Mamun
Ocean Engineering, 2016
117*2016
Ocean wave height prediction using ensemble of extreme learning machine
NK Kumar, R Savitha, A Al Mamun
Neurocomputing 277, 12-20, 2018
912018
Ocean wave characteristics prediction and its load estimation on marine structures: A transfer learning approach
NK Kumar, R Savitha, A Al Mamun
Marine Structures 61, 202-219, 2018
292018
Model-based efficiency and emissions evaluation of a marine hybrid power system with load profile
P Ghimire, S Karimi, M Zadeh, KK Nagalingam, E Pedersen
Electric Power Systems Research 212, 108530, 2022
32022
An ensemble of Extreme Learning Machine for prediction of wind force and moment coefficients in marine vessels
NK Kumar, R Savitha, A Al Mamun
Neural Networks (IJCNN), 2016 International Joint Conference on, 2901-2908, 2016
3*2016
Meta-cognitive extreme learning machine for regression problems
Krishna Kumar N, R Savitha, A Al Mamun
Cognitive Computing and Information Processing (CCIP), 2016 Second …, 2016
3*2016
A Study on Dynamic Positioning System Robustness with Wave loads predictions from Deep Belief Network
KKN R. Savitha, Abdullah Al Mamun
2018 IEEE Symposium Series on Computational Intelligence (SSCI), 2019
2*2019
Extreme Learning Machine for Prediction of Wind Force and Moment Coefficients on Marine Vessels
KK Nagalingam, S Ramasamy, A Al Mamun
Indian Journal of Science and Technology, 2016
22016
Validation of CO2 Emission Reductions from Advanced Vessel Management Solutions by Leveraging the Big Data from Offshore Drilling Operations
M Russo, KK Nagalingam, R Haakonsen, R Loftager, K Puskarskij
SPE/IADC Drilling Conference and Exhibition, D021S017R005, 2023
2023
Long and Short-Term Peak Shaving of ESS to Reduce Fuel and Maintenance Costs of Hybrid Ships
BEEMH Krishna Kumar Nagalingam, Ketil Land
Conference Proceedings of International Ship Control Systems Symposium …, 2022
2022
PREDICTION OF ENVIRONMENTAL FORCES AND PERFORMANCE ANALYSIS OF DYNAMIC POSITIONING SYSTEM-NEURAL NETWORK APPROACH
KK Nagalingam
National University of Singapore, 2018
2018
Fully complex-valued radial basis function networks for prediction of wind force and moment co-efficients on marine structures
K Kumar N, R Savitha, A Al Mamun
Cognitive Computing and Information Processing (CCIP), 2016 Second …, 2016
2016
Design of an electrical model of human upper airway
KK Nagalingam
2007
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