Search Results - "Data-driven method"

Optimal design strategy of traditional courtyard based on performance and data-driven method—A case study of Yanshen ancient town, China

Authors: Zhixin Xu Xin Zheng Xiangfeng Li

Source: Frontiers of Architectural Research, Vol 14, Iss 5, Pp 1168-1195 (2025)

Subject Terms: Generative design, Performance and data-driven method, Machine learning, Architecture, NA1-9428, Traditional courtyard

Access URL: https://doaj.org/article/ca527c64adb2437bb5ba3f32d32f9bcc

Knee-point-conscious battery aging trajectory prediction of lithium-ion based on physics-guided machine learning

Authors: Jia, Xinyu Zhang, Caiping Li, Yang et al.

Source: IEEE Transactions on Transportation Electrification. 10(1):1056-1069

Subject Terms: physics-guided, data-driven method, Accelerated aging, battery aging trajectory prediction, machine learning, knee point

File Description: electronic

Access URL: https://research.chalmers.se/publication/535342
https://research.chalmers.se/publication/535342/file/535342_Fulltext.pdf

Leveraging Bayesian methods for addressing multi-uncertainty in data-driven seismic liquefaction assessment

Authors: Zhihui Wang Roberto Cudmani Andrés Alfonso Peña Olarte et al.

Source: Journal of Rock Mechanics and Geotechnical Engineering, Vol 17, Iss 4, Pp 2474-2491 (2025)

Subject Terms: Data-driven method, Seismic liquefaction, Uncertainty, TA703-712, Engineering geology. Rock mechanics. Soil mechanics. Underground construction, Bayes analysis, Neural network

Access URL: https://doaj.org/article/b301a20b939b496d814615baaf2a1ca5

A Multi-Task Learning-Based Approach for Power System Short-Term Voltage Stability Assessment With Missing PMU Data

Authors: Li, Qiaoqiao Ren, Chao Zhang, Rui et al.

Source: IEEE Transactions on Automation Science and Engineering. 22:13187-13197

Subject Terms: Power system stability, Phasor measurement units, Imputation, Data models, Power measurement, Real-time systems, Adaptation models, Voltage measurement, Numerical stability, Multitasking, Missing data imputation, short-term voltage stability assessment, data-driven method, spatial-temporal recurrent neural network

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-364245

Data-Driven Methods Applied to Soft Robot Modeling and Control: A Review

Authors: Zixi Chen Federico Renda Alexia Le Gall et al.

Source: IEEE Transactions on Automation Science and Engineering. 22:2241-2256

Subject Terms: FOS: Computer and information sciences, Soft robot, data-driven method, physical model, Jacobian matrix, statistical model, neural network, reinforcement learning, Robotics, Robotics (cs.RO)

File Description: application/pdf

Access URL: http://arxiv.org/abs/2305.12137
https://hdl.handle.net/11382/565633
https://doi.org/10.1109/tase.2024.3377291

Low-Resource Noisy Transliteration Normalization Using Large-Scale Language Model

Authors: Zolzaya Byambadorj Ulziibayar Sonom-Ochir Munkhsukh Enkhbayar et al.

Source: IEEE Access, Vol 13, Pp 97038-97049 (2025)

Subject Terms: Data-driven method, seq2seq model, text normalization, token, noisy text, Electrical engineering. Electronics. Nuclear engineering, GPT2 model, TK1-9971

Access URL: https://doaj.org/article/9567e93b7f534382b72ddb81aff2212b

Coupled data-driven and physical mechanism modeling of polycyclic aromatic hydrocarbon transport

Authors: Xiankui ZENG Jinglong TIAN Jintong WANG et al.

Source: Shuiwen dizhi gongcheng dizhi, Vol 52, Iss 5, Pp 1-9 (2025)

Subject Terms: data-driven method, gaussian process regression, mcmc, numerical simulation, polycyclic aromatic hydrocarbon transport, Geology, QE1-996.5

File Description: electronic resource

Relation: https://doaj.org/toc/1000-3665

Access URL: https://doaj.org/article/9250ac12e4b94b94bbfad8e8f86901a7

Derivation and Numerical Assessment of a Stochastic Large–Scale Hydrostatic Primitive Equations Model

Authors: Francesco L. Tucciarone Long Li Etienne Mémin et al.

Source: Journal of Advances in Modeling Earth Systems, Vol 17, Iss 7, Pp n/a-n/a (2025)

Subject Terms: stochastic parametrization, Physical geography, NEMO, ocean modeling, data driven method, GC1-1581, Oceanography, GB3-5030

Access URL: https://doaj.org/article/df490a90688046baa968da83ac83afe4

Wind Farm Power Maximisation via Wake Steering: A Gaussian Process‐Based Yaw‐Dependent Parameter Tuning Approach

Authors: Gori, F Laizet, S Wynn, A

Source: Wind Energy, Vol 27, Iss 12, Pp 1545-1562 (2024)

Subject Terms: data‐driven method, wake models, wind energy, Gaussian processes, wake steering, TJ807-830, parameter tuning, Renewable energy sources

Access URL: https://doaj.org/article/16e9a8ef59134e92baf9c5b21c46599d

Methodologies developed for dataset preparation and the interpretability of machine learning algorithms used for the prediction of crack growth rate

Authors: Danilo Antonello Renzo Marcello Laurenti Pietro Foti et al.

Source: Results in Engineering, Vol 28, Iss , Pp 107516- (2025)

Subject Terms: Crack growth rate, Data-driven method, Machine learning, Dataset preparation, Game theory-based model interpretability, Model validation, Technology

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123025035716; https://doaj.org/toc/2590-1230

Access URL: https://doaj.org/article/fbef19221e594d7684342ba85a9e6a9b

Phase-angle-free harmonic coupling analysis and injection sites identification approach via data-driven regression model of harmonic voltage versus current

Authors: Jieyu Yao Hao Yu Verner Püvi et al.

Source: International Journal of Electrical Power & Energy Systems, Vol 172, Iss , Pp 111233- (2025)

Subject Terms: Data-driven method, Low-voltage grid, Harmonic injection site identification, Harmonic coupling, Regression model, Power quality, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0142061525007811; https://doaj.org/toc/0142-0615

Access URL: https://doaj.org/article/2a72ccb909b14d8a88705efc4abcc24e

Using Genetic Algorithm to Control Ventilation Systems Based on Demand in a Single-Family House in Sweden

Authors: Han, Mengjie Zhu, Yurong Song, William Wei, Professor et al.

Source: Encyclopedia of Sustainable Technologies, Second Edition: Volumes. :504-520

Subject Terms: Clustering, Data-driven method, Demand-controlled ventilation, Energy efficiency, Genetic algorithm, Indoor air quality, Mathematical modeling, Occupancy, Optimization, Smart system

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:du-50635

How useful are data-driven methods for building-level greywater treatment from a process engineering perspective?

Authors: Siyuan Wang Mariane Y. Schneider Eveline I.P. Volcke et al.

Source: Water Research X, Vol 28, Iss , Pp 100343- (2025)

Subject Terms: Building-level greywater reuse, Machine learning models, Data-driven method, Usefulness, Model transferability, Environmental technology. Sanitary engineering, TD1-1066

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2589914725000428; https://doaj.org/toc/2589-9147

Access URL: https://doaj.org/article/506c08ac0fac4838b7c6607dca00de59

Data-driven robust optimization for energy and reserve scheduling considering multi-uncertainty

Authors: Zuqing Zheng Guo Chen Zixiang Shen et al.

Source: International Journal of Electrical Power & Energy Systems, Vol 169, Iss , Pp 110751- (2025)

Subject Terms: Data-driven method, Energy and reserve scheduling, Two-stage robust optimization, Photovoltaic power uncertainty, N-k security criteria, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0142061525003023; https://doaj.org/toc/0142-0615

Access URL: https://doaj.org/article/5e3668f607b84695989c21312314c264

Web-based wide-area monitoring platform for ringdown and clustering analytics in power systems

Authors: Jose Ortiz-Bejar Alejandro Zamora-Mendez Mario R. Arrieta Paternina et al.

Source: International Journal of Electrical Power & Energy Systems, Vol 169, Iss , Pp 110714- (2025)

Subject Terms: Electromechanical oscillations, Rotor angle stability, Data-driven method, Clustering, Ringdown analysis, WAMS, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0142061525002650; https://doaj.org/toc/0142-0615

Access URL: https://doaj.org/article/355c092c206a4c83ba6939cb66433462

Estimating Transient Stability Regions of Large-Scale Power Systems Part I: Koopman Operator and Reduced-Order Model

Authors: Yuqing Lin Tianhao Wen Lei Chen et al.

Source: CSEE Journal of Power and Energy Systems, Vol 11, Iss 1, Pp 24-37 (2025)

Subject Terms: Data driven method, dynamic mode decomposition, Koopman operator, model reduction, power systems, Technology, Physics, QC1-999

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/10838254/; https://doaj.org/toc/2096-0042

Access URL: https://doaj.org/article/5d7e403c01fe4a7385b882717ad07b3f

A data-driven method for feature assessment of historical settlements: A case study of Northeast Hubei, China

Authors: Gangyi Tan Zhanxiang Chen Jiangkun Zhu et al.

Source: Frontiers of Architectural Research, Vol 13, Iss 2, Pp 387-405 (2024)

Subject Terms: Data-driven method, Historical settlement, Architecture, 11. Sustainability, 0211 other engineering and technologies, 02 engineering and technology, Northeast Hubei, NA1-9428, 01 natural sciences, Feature assessment, 0105 earth and related environmental sciences

Access URL: https://doaj.org/article/eed401038a1047f19f133e208045871a

Data-driven CFRP machining performance prediction and optimization: Advances, challenges and future prospects

Authors: Ge, Jia Zhang, Jiduo Xu, Moran et al.

Source: Ge, J, Zhang, J, Xu, M, Wu, M, Yao, Z, Fu, G, Zhang, W, Falzon, B G, Catalanotti, G, Xu, J, Jin, Y & Sun, D 2025, 'Data-driven CFRP machining performance prediction and optimization: advances, challenges and future prospects', Thin-Walled Structures, vol. 216, no. Part C, 113721. https://doi.org/10.1016/j.tws.2025.113721

Subject Terms: machine learning, process optimization, name=Building and Construction, name=Civil and Structural Engineering, name=Mechanical Engineering, CFRP machining, data-driven method, defects prediction

File Description: application/pdf

Access URL: https://pure.qub.ac.uk/en/publications/fa59795f-603e-434d-961b-b8dde519d0d6

A Critical Review of AI-Based Battery Remaining Useful Life Prediction for Energy Storage Systems

Authors: Kuo Yang Shunli Wang Lei Zhou et al.

Source: Batteries, Vol 11, Iss 10, p 376 (2025)

Subject Terms: lithium-ion battery, remaining useful life prediction, prediction method, data-driven method, hybrid approach, Production of electric energy or power. Powerplants. Central stations, TK1001-1841, Industrial electrochemistry, TP250-261

File Description: electronic resource

Relation: https://www.mdpi.com/2313-0105/11/10/376; https://doaj.org/toc/2313-0105

Access URL: https://doaj.org/article/9934871d08b14c049df168f9d656cf3e

Data-Driven Event-Triggering Control of Discrete Time-Delay Systems

Authors: Yifan Gong Zhicheng Li Yang Wang

Source: Information, Vol 16, Iss 10, p 893 (2025)

Subject Terms: data-driven method, discrete time-delay system, dynamic event-triggering scheme, Linear Matrix Inequalities, Information technology, T58.5-58.64

File Description: electronic resource

Relation: https://www.mdpi.com/2078-2489/16/10/893; https://doaj.org/toc/2078-2489

Access URL: https://doaj.org/article/8358e21171c54ad39189b7cd2b3f53f1