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New Insights Into Crustal Deformation of the Indonesia–Australia–New Guinea Collision Zone From a Broad‐Scale Kinematic Model
Siyuan Zhao, Simon McClusky, Phil R. Cummins, Meghan S. Miller and Hendro Nugroho Journal of Geophysical Research: Solid Earth 128(2) (2023) https://doi.org/10.1029/2022JB024810
Guler Aslan Sungur, caitlin moore, Carl J. Bernacchi, Emily Heaton and Andy Vanloocke (2023) https://doi.org/10.2139/ssrn.4576599
TÜRKİYE LİMANLARINDAKİ KONTEYNER VE YÜK ELLEÇLEME HACİMLERİNİN YSA NARX MODELİ İLE ÖNGÖRÜLMESİ
Machine learning-based simplified methods using shorter wind measuring masts for the time ahead wind forecasting at higher altitude for wind energy applications
Valsaraj P., Drisya Alex Thumba and Satheesh Kumar Renewable Energy and Environmental Sustainability 7 24 (2022) https://doi.org/10.1051/rees/2022012
Systematic Review on Impact of Different Irradiance Forecasting Techniques for Solar Energy Prediction
Konduru Sudharshan, C. Naveen, Pradeep Vishnuram, Damodhara Venkata Siva Krishna Rao Kasagani and Benedetto Nastasi Energies 15(17) 6267 (2022) https://doi.org/10.3390/en15176267
Robust Differentiator-Based NeuroFuzzy Sliding Mode Control Strategies for PMSG-WECS
Malak Adnan Khan, Qudrat Khan, Laiq Khan, Imran Khan, Ahmad Aziz Alahmadi and Nasim Ullah Energies 15(19) 7039 (2022) https://doi.org/10.3390/en15197039
Comparative models for multi-step ahead wind speed forecasting applied for expected wind turbine power output prediction
Solar power plant generation forecasting using NARX neural network model: A case study
Obed NKURIYINGOMA and Saltuk Buğra SELÇUKLU International Journal of Energy Applications and Technologies 8(3) 80 (2021) https://doi.org/10.31593/ijeat.870088
Holistic thermal-aware workload management and infrastructure control for heterogeneous data centers using machine learning
Sensor Fusion with NARX Neural Network to Predict the Mass Flow in a Sugarcane Harvester
Jeovano de Jesus Alves de Lima, Leonardo Felipe Maldaner and José Paulo Molin Sensors 21(13) 4530 (2021) https://doi.org/10.3390/s21134530
Computational Intelligence and Soft Computing Applications in Healthcare Management Science
Melih Yucesan, Suleyman Mete, Faruk Serin, Erkan Celik and Muhammet Gul Advances in Healthcare Information Systems and Administration, Computational Intelligence and Soft Computing Applications in Healthcare Management Science 1 (2020) https://doi.org/10.4018/978-1-7998-2581-4.ch001
Ola E. Hassan and Ahmed K. Abdelsalam 88 (2020) https://doi.org/10.1109/ICCTA52020.2020.9477679
Application of nonlinear autoregressive neural network to estimation of global solar radiation over Nigeria
Deep neural network-based wind speed forecasting and fatigue analysis of a large composite wind turbine blade
Pravin A Kulkarni, Ashwinkumar S Dhoble and Pramod M Padole Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233(8) 2794 (2019) https://doi.org/10.1177/0954406218797972
A Comparative Study of Activation Functions of NAR and NARX Neural Network for Long‐Term Wind Speed Forecasting in Malaysia
Rasel Sarkar, Sabariah Julai, Sazzad Hossain, Wen Tong Chong, Mahmudur Rahman and John S. Sakellariou Mathematical Problems in Engineering 2019(1) (2019) https://doi.org/10.1155/2019/6403081
Recursive neural networks in hospital bed occupancy forecasting
Ekaterina Kutafina, Istvan Bechtold, Klaus Kabino and Stephan M. Jonas BMC Medical Informatics and Decision Making 19(1) (2019) https://doi.org/10.1186/s12911-019-0776-1
Deep learning to predict the generation of a wind farm