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Building a machine learning surrogate model for wildfire activities within a global Earth system model
Zhu, Qing, Li, Fa, Riley, William J., Xu, Li, Zhao, Lei, Yuan, Kunxiaojia, Wu, Huayi, Gong, Jianya, Randerson, James
Published in Geoscientific Model Development (08.03.2022)
Published in Geoscientific Model Development (08.03.2022)
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Journal Article
Multiobjective Optimization and Machine Learning Algorithms for Forecasting the 3E Performance of a Concentrated Photovoltaic-Thermoelectric System
Alghamdi, Hisham, Maduabuchi, Chika, Yusuf, Aminu, Al-Dahidi, Sameer, Albaker, Abdullah, Alatawi, Ibrahim, Alsenani, Theyab R., Alsafran, Ahmed S., AlAqil, Mohammed, Alkhedher, Mohammad
Published in International journal of energy research (15.03.2023)
Published in International journal of energy research (15.03.2023)
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Journal Article
A deep learning-based algorithm for rapid tracking and monitoring of gas–liquid two-phase bubbly flow bubbles
Fang, Lide, Lei, Yiming, Ning, Jianan, Zhang, Jingchi, Feng, Yue
Published in Physics of fluids (1994) (01.08.2024)
Published in Physics of fluids (1994) (01.08.2024)
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Journal Article
Faulty cell prediction accuracy comparison of machine learning algorithms using temperature sensor placement optimization approach in immersion cooled Li-ion battery modules
Daniels, Rojo Kurian, Langeh, Harsh, Kumar, Vikas, Chouhan, Satyendra Singh, Prabhakar, Aneesh
Published in Applied energy (01.08.2024)
Published in Applied energy (01.08.2024)
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Journal Article
Machine learning approaches to predict thermal demands using skin temperatures: Steady-state conditions
Dai, Changzhi, Zhang, Hui, Arens, Edward, Lian, Zhiwei
Published in Building and environment (01.03.2017)
Published in Building and environment (01.03.2017)
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Journal Article
Application of data-driven methods for energy system modelling demonstrated on an adaptive cooling supply system
Schreiber, Thomas, Netsch, Christoph, Eschweiler, Sören, Wang, Tianyuan, Storek, Thomas, Baranski, Marc, Müller, Dirk
Published in Energy (Oxford) (01.09.2021)
Published in Energy (Oxford) (01.09.2021)
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Journal Article
Multiparameter optimisation of a magneto-optical trap using deep learning
Tranter, A. D., Slatyer, H. J., Hush, M. R., Leung, A. C., Everett, J. L., Paul, K. V., Vernaz-Gris, P., Lam, P. K., Buchler, B. C., Campbell, G. T.
Published in Nature communications (19.10.2018)
Published in Nature communications (19.10.2018)
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Journal Article