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Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Frontiers in Energy 2017, Volume 11, Issue 2,   Pages 175-183 doi: 10.1007/s11708-017-0471-9

Abstract: A locally weighted learning method is also proposed to utilize the processed feature set to produce theThe proposed model is simple and easy to use with parameters optimized automatically.

Keywords： forecasting     feature set     minimal-redundancy-maximal-relevance (mRMR)     principal component analysis (PCA)     locallyweighted learning model    

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View-invariant human action recognition via robust locally adaptive multi-view learning

Jia-geng FENG,Jun XIAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 917-920 doi: 10.1631/FITEE.1500080

Abstract: In this paper, we present a multi-view learning approach to recognize human actions from different viewsAs most existing multi-view learning algorithms often suffer from the problem of lacking data adaptivenessin the nearest neighborhood graph construction procedure, a robust locally adaptive multi-view learningalgorithm based on learning multiple local L1-graphs is proposed.

Keywords： View-invariant     Action recognition     Multi-view learning     L1-norm     Local learning    

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Quality-related locally weighted soft sensing for non-stationary processes by a supervised Bayesian network Research Articles

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 9,   Pages 1234-1246 doi: 10.1631/FITEE.2000426

Abstract:

It is necessary to construct an adaptive model to cope with process non-stationaries.In this study, a novel quality-related locally weighted soft sensing method is designed for non-stationary

Keywords： 软测量；有监督贝叶斯网络；隐变量；局部加权建模；质量预测    

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radiation fraction induced by interaction burning of tri-symmetric propane fires in open space based on weightedmulti-point source model

Jie JI, Junrui DUAN, Huaxian WAN

Frontiers in Energy 2022, Volume 16, Issue 6,   Pages 1017-1026 doi: 10.1007/s11708-020-0716-x

Abstract: Moreover, the multi-point source model was further improved, and radiation fraction of propane was calculated

Keywords： flame interaction     air entrainment     flame height     multi-point source model     thermal radiation    

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Development of machine learning multi-city model for municipal solid waste generation prediction

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 9, doi: 10.1007/s11783-022-1551-6

Abstract:

● A database of municipal solid waste (MSW) generation in China was established.

Keywords： Municipal solid waste     Machine learning     Multi-cities     Gradient boost regression tree    

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Financing Model Decision of Inter-basin Water Transfer Projects

Ji-wei Zhu,Li-nan Zhou,Zhao Zhai,Cong Wang

Frontiers of Engineering Management 2016, Volume 3, Issue 4,   Pages 396-403 doi: 10.15302/J-FEM-2016060

Abstract: Inter-basin Water Transfer Projects require the appropriate financing model to attract large amountsTherefore, financing model decision becomes the key of engineering construction.In three aspects, such as the subject, the object and the target of the financing model, Grey TargetModel is established in this paper.The Weighted Grey Target Model is used to calculate the approaching degree of financing model and assists

Keywords： Inter-basin Water Transfer Projects     financing model     Weighted Grey Target Model     water diversion     Han River    

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Pyogenic liver abscess as initial presentation in locally advanced right colon cancer invading the liver

Kai Qu, Chang Liu, Aasef M A Mansoor, Bo Wang, Jincai Chen, Liang Yu, Yi Lv

Frontiers of Medicine 2011, Volume 5, Issue 4,   Pages 434-437 doi: 10.1007/s11684-011-0157-3

Abstract: Locally advanced colorectal cancer complicated with adjacent organic invasion may remain confined toHowever, the clinical manifestation of locally advanced colon cancer was extremely complicated.

Keywords： liver abscess     locally advanced colon cancer     multiorganic invasion    

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Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion

Frontiers in Energy doi: 10.1007/s11708-023-0891-7

Abstract: methods in lithium-ion battery health management and in particular analyses the application of machine learningReports so far have shown that the utilization of NN to model the SOH of lithium-ion batteries has theby, first, utilizing more field data to play a more practical role in health feature screening and model

Keywords： machine learning     lithium-ion battery     state of health     neural network     artificial intelligence    

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An assessment of surrogate fuel using Bayesian multiple kernel learning model in sight of sooting tendency

Frontiers in Energy 2022, Volume 16, Issue 2,   Pages 277-291 doi: 10.1007/s11708-021-0731-6

Abstract: Based on the database, a novel predicting model of YSI values for surrogate fuels was proposed with theapplication of a machine learning method, named the Bayesian multiple kernel learning (BMKL) model.A high correlation coefficient (0.986) between measured YSIs and predicted values with the BMKL modelwas obtained, indicating that the BMKL model had a reliable and accurate predictive capacity for YSIThe BMKL model provides an accurate and low-cost approach to assess surrogate performances of diesel,

Keywords： sooting tendency     yield sooting index     Bayesian multiple kernel learning     surrogate assessment     surrogate    

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Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis

Frontiers of Medicine 2022, Volume 16, Issue 3,   Pages 496-506 doi: 10.1007/s11684-021-0828-7

Abstract: In this paper, a hybrid model combining XGBoost with deep neural network is used to predict the fractureA total of 147 raw input features are considered in our model.The presented model is compared with several benchmarks based on various metrics to prove its effectiveness

Keywords： XGBoost     deep neural network     healthcare     risk prediction    

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Topology-independent end-to-end learning model for improving the voltage profile in microgrids-integrated

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 211-227 doi: 10.1007/s11708-022-0847-3

Abstract: In this paper, we propose a novel data-driven voltage profile improvement model, denoted as system-widerealize topology identification and decision-making optimization in sequence, the proposed end-to-end modelMore specifically, the proposed model consists of four modules, Pre-training Network and modified interior

Keywords： end-to-end learning     microgrids     voltage profile improvement     generative adversarial network    

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evaluation of renal function using diffusion weighted imaging and diffusion tensor imaging in type 2

Xiaoyan Chen,Wenxia Xiao,Xinchun Li,Jianxun He,Xiaochun Huang,Yuyu Tan

Frontiers of Medicine 2014, Volume 8, Issue 4,   Pages 471-476 doi: 10.1007/s11684-014-0365-8

Abstract:

This work aims to estimate the value of diffusion weighted imaging (DWI) and diffusion tensor imaging

Keywords： type 2 diabetes mellitus     microalbuminuria     diffusion weighted imaging     diffusion tensor imaging     early-stage    

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An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 237-250 doi: 10.1007/s11705-021-2058-6

Abstract: Advanced model-based control strategies, e.g., model predictive control, can offer superior control ofThe quality of the system model is critical to controller performance and should adequately describederiving black-box nonlinear continuous-time multiple-input multiple-output system models for nonlinear modelboth output and manipulated variables were trained on simulated data and integrated into a nonlinear modelThis demonstration of how such system models could be identified for nonlinear model predictive control

Keywords： nonlinear model predictive control     black-box modeling     continuous-time system identification     machinelearning     industrial applications of process control    

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A hybrid deep learning model for robust prediction of the dimensional accuracy in precision milling of

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0688-0

Abstract: The classification accuracy of the popular machine learning methods has been evaluated in comparisonwith the proposed deep learning model.Based on the experimental data collected during the milling experiments, the proposed model proved toThe average classification accuracy obtained using the proposed deep learning model was 9.55% higherthan the best machine learning algorithm considered in this paper.

Keywords： precision milling     dimensional accuracy     cutting force     convolutional neural networks     coherent noise    

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Latent source-specific generative factor learning for monaural speech separation using weighted-factor

Jing-jing Chen, Qi-rong Mao, You-cai Qin, Shuang-qing Qian, Zhi-shen Zheng,2221808071@stmail.ujs.edu.cn,mao_qr@ujs.edu.cn,2211908026@stmail.ujs.edu.cn,2211908025@stmail.ujs.edu.cn,3160602062@stmail.ujs.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 11,   Pages 1535-1670 doi: 10.1631/FITEE.2000019

Abstract: In this study, we propose a novel weighted-factor (WFAE) model for MSS, which introduces a regularization

Keywords： 语音分离；生成因子；自动编码器；深度学习    

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Title Author Date Type Operation

Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Journal Article

View-invariant human action recognition via robust locally adaptive multi-view learning

Jia-geng FENG,Jun XIAO

Journal Article

Quality-related locally weighted soft sensing for non-stationary processes by a supervised Bayesian network

Journal Article

radiation fraction induced by interaction burning of tri-symmetric propane fires in open space based on weightedmulti-point source model

Jie JI, Junrui DUAN, Huaxian WAN

Journal Article

Development of machine learning multi-city model for municipal solid waste generation prediction

Journal Article

Financing Model Decision of Inter-basin Water Transfer Projects

Ji-wei Zhu,Li-nan Zhou,Zhao Zhai,Cong Wang

Journal Article

Pyogenic liver abscess as initial presentation in locally advanced right colon cancer invading the liver

Kai Qu, Chang Liu, Aasef M A Mansoor, Bo Wang, Jincai Chen, Liang Yu, Yi Lv

Journal Article

Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion

Journal Article

An assessment of surrogate fuel using Bayesian multiple kernel learning model in sight of sooting tendency

Journal Article

Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis

Journal Article

Topology-independent end-to-end learning model for improving the voltage profile in microgrids-integrated

Journal Article

evaluation of renal function using diffusion weighted imaging and diffusion tensor imaging in type 2

Xiaoyan Chen,Wenxia Xiao,Xinchun Li,Jianxun He,Xiaochun Huang,Yuyu Tan

Journal Article

An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system

Journal Article

A hybrid deep learning model for robust prediction of the dimensional accuracy in precision milling of

Journal Article

Latent source-specific generative factor learning for monaural speech separation using weighted-factor

Jing-jing Chen, Qi-rong Mao, You-cai Qin, Shuang-qing Qian, Zhi-shen Zheng,2221808071@stmail.ujs.edu.cn,mao_qr@ujs.edu.cn,2211908026@stmail.ujs.edu.cn,2211908025@stmail.ujs.edu.cn,3160602062@stmail.ujs.edu.cn

Journal Article