Industrial Multivariate Explorer Tekijä Luis Vázquez Seisdedos, Alvaro Aguilera Castillo, David Diaz Martinez, Rolando Ramis Rosales, Jose Manuel Rodriguez Perez

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A Review of Data-Driven Approaches for Measurement and Verification Analysis of Building Energy Retrofits Tekijä Abdurahman Alrobaie, Moncef Krarti

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Dynamical modeling of excavation based on bucket workload and control of excavated soil weight Tekijä Yutaka OKAMOTO, Masafumi OKADA

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Pile Damage Detection Using Machine Learning with the Multipoint Traveling Wave Decomposition Method Tekijä Juntao Wu, M. Hesham El Naggar, Kuihua Wang

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Prediction of Mechanical Properties for High Strength Low Alloyed Steels in a Commercial Hot Dip Galvanizing Line without Soaking Section Tekijä Ángel García-Martino, César García, María Manuela Prieto, José Díaz

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AutoMoG 3D: Automated Data-Driven Model Generation of Multi-Energy Systems Using Hinging Hyperplanes Tekijä Andreas Kämper, Alexander Holtwerth, Ludger Leenders, Ludger Leenders, André Bardow, André Bardow, André Bardow

Aiheet: “…data-driven modeling…”
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Editorial: Data-Driven Integrated Computational Materials Engineering for High-Entropy Materials Tekijä William Yi Wang, Yong Zhang, Peter K. Liaw

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Hot Metal Temperature Prediction at Basic-Lined Oxygen Furnace (BOF) Converter Using IR Thermometry and Forecasting Techniques Tekijä José Díaz, Francisco Javier Fernández, Inés Suárez

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Gain-Preserving Data-Driven Approximation of the Koopman Operator and Its Application in Robust Controller Design Tekijä Keita Hara, Masaki Inoue

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Machine Learning-Based Prediction of Specific Energy Consumption for Cut-Off Grinding Tekijä Muhammad Rizwan Awan, Hernán A. González Rojas, Saqib Hameed, Fahid Riaz, Shahzaib Hamid, Abrar Hussain

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A Comparative Study of Sparsity Promoting Techniques in Neural Network for Modeling Non-Linear Dynamics Tekijä Emil Johannesen Haugstvedt, Alberto Mino Calero, Erlend Torje Berg Lundby, Adil Rasheed, Jan Tommy Gravdahl

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AI-assisted modeling of capillary-driven droplet dynamics Tekijä Andreas D. Demou, Nikos Savva

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An interpretable and stacking ensemble model for predicting heat and mass transfer of desiccant wheel Tekijä Mengyang Li, Liu Chen

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Thermal Deformation Modeling for Phased Array Antenna Compensation Control Tekijä Hui Liu, Wei Wang, Dafeng Tang, Liyin Zhang, Youming Wang, Enming Miao

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Data-driven modeling of municipal water system responses to hydroclimate extremes Tekijä Ryan Johnson, Steven John Burian, Carlos Anthony Oroza, James Halgren, Trevor Irons, Danyal Aziz, Daniyal Hassan, Jiada Li, Carly Hansen, Tracie Kirkham, Jesse Stewart, Laura Briefer

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Deep learning algorithms for predicting renal replacement therapy initiation in CKD patients: a retrospective cohort study Tekijä Ka-Chun Leung, Wincy Wing-Sze Ng, Yui-Pong Siu, Anthony Kai-Ching Hau, Hoi-Kan Lee

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Validating a data-driven framework for vehicular traffic modeling Tekijä Daniel Lane, Subhradeep Roy

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Epistemic Uncertainty-Aware Barlow Twins Reduced Order Modeling for Nonlinear Contact Problems Tekijä Teeratorn Kadeethum, John D. Jakeman, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon

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Data-Driven Modeling for Multiphysics Parametrized Problems-Application to Induction Hardening Process Tekijä Khouloud Derouiche, Sevan Garois, Victor Champaney, Monzer Daoud, Khalil Traidi, Francisco Chinesta

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A soft-sensor approach for predicting an indicator virus removal efficiency of a pilot-scale anaerobic membrane bioreactor (AnMBR) Tekijä Syun-suke Kadoya, Yifan Zhu, Rong Chen, Chao Rong, Yuyou Li, Daisuke Sano

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