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Prediction of hydro-suction dredging depth using data-driven methods
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3, Pages 652-664 doi: 10.1007/s11709-021-0719-7
Keywords: sedimentation water resources dam engineering machine learning heuristic
Li Sun, Fengqi You
Engineering 2021, Volume 7, Issue 9, Pages 1239-1247 doi: 10.1016/j.eng.2021.04.020
Keywords: Smart power generation Machine learning Data-driven control Systems engineering
A hierarchical system to predict behavior of soil and cantilever sheet wall by data-driven models
Nang Duc BUI; Hieu Chi PHAN; Tiep Duc PHAM; Ashutosh Sutra DHAR
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 6, Pages 667-684 doi: 10.1007/s11709-022-0822-4
Keywords: finite element analysis cantilever sheet wall machine learning artificial neural network random forest
Hybrid Data-Driven and Mechanistic Modeling Approaches for Multiscale Material and Process Design Perspective
Teng Zhou, Rafiqul Gani, Kai Sundmacher
Engineering 2021, Volume 7, Issue 9, Pages 1231-1238 doi: 10.1016/j.eng.2020.12.022
Keywords: Data-driven Surrogate model Machine learning Hybrid modeling Material design Process optimization
Frontiers in Energy 2022, Volume 16, Issue 1, Pages 121-129 doi: 10.1007/s11708-021-0780-x
Keywords: power distribution network data-driven topology identification distributed energy resource maximal
Data-driven soft sensors in blast furnace ironmaking: a survey Review Article
Yueyang LUO, Xinmin ZHANG, Manabu KANO, Long DENG, Chunjie YANG, Zhihuan SONG
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3, Pages 327-354 doi: 10.1631/FITEE.2200366
Keywords: Soft sensors Data-driven modeling Machine learning Deep learning Blast furnace Ironmaking process
Data-driven approach to solve vertical drain under time-dependent loading
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3, Pages 696-711 doi: 10.1007/s11709-021-0727-7
Keywords: vertical drain artificial neural network time-dependent loading deep learning network genetic algorithm
Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 6, Pages 759-771 doi: 10.1007/s11705-022-2269-5
Keywords: hydrocracking convolutional neural networks self-organizing map deep learning data-driven optimization
Physics-Informed Deep Learning-Based Real-Time Structural Response Prediction Method
Ying Zhou,Shiqiao Meng,Yujie Lou,Qingzhao Kong,
Engineering doi: 10.1016/j.eng.2023.08.011
Keywords: seismic response prediction Physics information informed Real-time prediction Earthquake engineering Data-drivenmachine learning
Hybrid-driven Gaussian process online learning for highly maneuvering multi-target tracking Research Article
Qiang GUO, Long TENG, Tianxiang YIN, Yunfei GUO, Xinliang WU, Wenming SONG
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11, Pages 1647-1656 doi: 10.1631/FITEE.2300348
Keywords: Target tracking Gaussian process Data-driven Online learning Model-driven Probabilistic data association
Mohammad ZOUNEMAT-KERMANI, Meysam ALIZAMIR, Zaher Mundher YASEEN, Reinhard HINKELMANN
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2, Pages 444-460 doi: 10.1007/s11709-021-0697-9
Keywords: sewer systems environmental engineering data-driven methods sensitivity analysis
Optimal Antibody Purification Strategies Using Data-Driven Models Article
Songsong Liu, Lazaros G. Papageorgiou
Engineering 2019, Volume 5, Issue 6, Pages 1077-1092 doi: 10.1016/j.eng.2019.10.011
Keywords: Antibody purification Multiscale optimization Antigen-binding fragment Mixed-integer programming Data-driven
A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 2, doi: 10.1007/s11783-023-1622-3
● A novel deep learning framework for short-term water demand forecasting
Keywords: Long-short term memory neural network Convolutional Neural Network Wavelet multi-resolution analysis Data-driven
Teng Zhou, Zhen Song, Kai Sundmacher
Engineering 2019, Volume 5, Issue 6, Pages 1017-1026 doi: 10.1016/j.eng.2019.02.011
Materials development has historically been driven by human needs and desires, and this is likelyAs big data generated by modern experimental and computational techniques is becoming more readily available, data-driven or machine learning (ML) methods have opened new paradigms for the discovery and rational
Keywords: Big data Data-driven Machine learning Materials screening Materials design
An adaptive data-driven method for accurate prediction of remaining useful life of rolling bearings
Yanfeng PENG, Junsheng CHENG, Yanfei LIU, Xuejun LI, Zhihua PENG
Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2, Pages 301-310 doi: 10.1007/s11465-017-0449-7
A novel data-driven method based on Gaussian mixture model (GMM) and distance evaluation techniqueThe data sets are clustered by GMM to divide all data sets into several health states adaptively andThus, either the health state of the data sets or the number of the states is obtained automatically.training data sets.sets into several health states and remove the abnormal data sets.
Keywords: Gaussian mixture model distance evaluation technique health state remaining useful life rolling bearing
Title Author Date Type Operation
Machine Learning and Data-Driven Techniques for the Control of Smart Power Generation Systems: An Uncertainty
Li Sun, Fengqi You
Journal Article
A hierarchical system to predict behavior of soil and cantilever sheet wall by data-driven models
Nang Duc BUI; Hieu Chi PHAN; Tiep Duc PHAM; Ashutosh Sutra DHAR
Journal Article
Hybrid Data-Driven and Mechanistic Modeling Approaches for Multiscale Material and Process Design
Teng Zhou, Rafiqul Gani, Kai Sundmacher
Journal Article
Data-driven distribution network topology identification considering correlated generation power of distributed
Journal Article
Data-driven soft sensors in blast furnace ironmaking: a survey
Yueyang LUO, Xinmin ZHANG, Manabu KANO, Long DENG, Chunjie YANG, Zhihuan SONG
Journal Article
Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units
Journal Article
Physics-Informed Deep Learning-Based Real-Time Structural Response Prediction Method
Ying Zhou,Shiqiao Meng,Yujie Lou,Qingzhao Kong,
Journal Article
Hybrid-driven Gaussian process online learning for highly maneuvering multi-target tracking
Qiang GUO, Long TENG, Tianxiang YIN, Yunfei GUO, Xinliang WU, Wenming SONG
Journal Article
Concrete corrosion in wastewater systems: Prediction and sensitivity analysis using advanced extreme learning
Mohammad ZOUNEMAT-KERMANI, Meysam ALIZAMIR, Zaher Mundher YASEEN, Reinhard HINKELMANN
Journal Article
Optimal Antibody Purification Strategies Using Data-Driven Models
Songsong Liu, Lazaros G. Papageorgiou
Journal Article
A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting
Journal Article
Big Data Creates New Opportunities for Materials Research: A Review on Methods and Applications of MachineLearning for Materials Design
Teng Zhou, Zhen Song, Kai Sundmacher
Journal Article