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Novel method for temperature prediction in rotary kiln process through machine learning and CFD
Wang, Yaozu, Xu, Yue, Song, Xiaoran, Sun, Qingke, Zhang, Jianliang, Liu, Zhengjian
Published in Powder technology (15.04.2024)
Published in Powder technology (15.04.2024)
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Journal Article
Federated Learning Over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis
Xing, Hong, Simeone, Osvaldo, Bi, Suzhi
Published in IEEE journal on selected areas in communications (01.12.2021)
Published in IEEE journal on selected areas in communications (01.12.2021)
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Journal Article
A machine learning and CFD modeling hybrid approach for predicting real-time heat transfer during cokemaking processes
Zhao, Pengxiang, Hui, Yunze, Qiu, Yuhang, Wang, Mengting, Guo, Shirong, Dai, Baiqian, Dou, Jinxiao, Bhattacharya, Sankar, Yu, Jianglong
Published in Fuel (Guildford) (01.10.2024)
Published in Fuel (Guildford) (01.10.2024)
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Journal Article
Machine learning for accelerating process‐based computation of land biogeochemical cycles
Sun, Yan, Goll, Daniel S., Huang, Yuanyuan, Ciais, Philippe, Wang, Ying‐Ping, Bastrikov, Vladislav, Wang, Yilong
Published in Global change biology (01.06.2023)
Published in Global change biology (01.06.2023)
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Journal Article
Optimization and Scale-Up of Fermentation Processes Driven by Models
Du, Yuan-Hang, Wang, Min-Yu, Yang, Lin-Hui, Tong, Ling-Ling, Guo, Dong-Sheng, Ji, Xiao-Jun
Published in Bioengineering (Basel) (01.09.2022)
Published in Bioengineering (Basel) (01.09.2022)
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Journal Article
Machine‐learning‐based predictive control of nonlinear processes. Part II: Computational implementation
Wu, Zhe, Tran, Anh, Rincon, David, Christofides, Panagiotis D.
Published in AIChE journal (01.11.2019)
Published in AIChE journal (01.11.2019)
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Journal Article
Statistical modeling of fully nonlinear hydrodynamic loads on offshore wind turbine monopile foundations using wave episodes and targeted CFD simulations through active sampling
Guth, Stephen, Katsidoniotaki, Eirini, Sapsis, Themistoklis P.
Published in Wind energy (Chichester, England) (01.01.2024)
Published in Wind energy (Chichester, England) (01.01.2024)
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Journal Article
Machine learning‐based predictive control of nonlinear processes. Part I: Theory
Wu, Zhe, Tran, Anh, Rincon, David, Christofides, Panagiotis D.
Published in AIChE journal (01.11.2019)
Published in AIChE journal (01.11.2019)
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Journal Article
Stochastic Gradient Coding for Straggler Mitigation in Distributed Learning
Bitar, Rawad, Wootters, Mary, El Rouayheb, Salim
Published in IEEE journal on selected areas in information theory (01.05.2020)
Published in IEEE journal on selected areas in information theory (01.05.2020)
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Journal Article
Particle gradient descent model for point process generation
Brochard, Antoine, Błaszczyszyn, Bartłomiej, Zhang, Sixin, Mallat, Stéphane
Published in Statistics and computing (01.06.2022)
Published in Statistics and computing (01.06.2022)
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Journal Article
Optimization of Process Parameters in Electron Beam Cold Hearth Melting and Casting of Ti-6wt%Al-4wt%V via CFD-ML Approach
Xin, Yuchen, Liu, Jianglu, Shi, Yaming, Cheng, Zina, Liu, Yang, Gao, Lei, Zhang, Huanhuan, Ji, Haohang, Han, Tianrui, Guo, Shenghui, Yin, Shubiao, Zhao, Qiuni
Published in Metals (Basel ) (01.08.2025)
Published in Metals (Basel ) (01.08.2025)
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Journal Article
Machine learning‐based distributed model predictive control of nonlinear processes
Chen, Scarlett, Wu, Zhe, Rincon, David, Christofides, Panagiotis D.
Published in AIChE journal (01.11.2020)
Published in AIChE journal (01.11.2020)
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Journal Article
A comparative study of generalized regression neural network approach and adaptive neuro-fuzzy inference systems for prediction of unconfined compressive strength of rocks
Singh, Rajesh, Vishal, V., Singh, T. N., Ranjith, P. G.
Published in Neural computing & applications (01.08.2013)
Published in Neural computing & applications (01.08.2013)
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Journal Article