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Optimization of computational intelligence approach for the prediction of glutinous rice dehydration.
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- Journal of the Science of Food & Agriculture, 2024, v. 104, n. 10, p. 6208, doi. 10.1002/jsfa.13445
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- Article
Nonlinear response modelling of material systems using constrained Gaussian processes.
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- International Journal for Numerical Methods in Engineering, 2024, v. 125, n. 14, p. 1, doi. 10.1002/nme.7486
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Enabling efficient regional seismic fragility assessment of multi‐component bridge portfolios through Gaussian process regression and active learning.
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- Earthquake Engineering & Structural Dynamics, 2024, v. 53, n. 9, p. 2929, doi. 10.1002/eqe.4144
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A Data-Driven Method for Parametric PDE Eigenvalue Problems Using Gaussian Process with Different Covariance Functions.
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- Computational Methods in Applied Mathematics, 2024, v. 24, n. 3, p. 533, doi. 10.1515/cmam-2023-0086
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Grassmannian kriging with applications in POD-based model order reduction.
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- Discrete & Continuous Dynamical Systems - Series S, 2024, v. 17, n. 7, p. 1, doi. 10.3934/dcdss.2024017
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Practical implications in the interpolation methods for constructing the regional mean sea surface model in the eastern Mediterranean Sea.
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- Journal of Applied Geodesy, 2024, v. 18, n. 3, p. 483, doi. 10.1515/jag-2023-0070
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Buckling optimization of variable stiffness composite wing boxes with manufacturing defects.
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- Structural & Multidisciplinary Optimization, 2024, v. 67, n. 7, p. 1, doi. 10.1007/s00158-024-03809-8
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Data-Driven Insights into Controlling the Reactivity of Supplementary Cementitious Materials in Hydrated Cement.
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- International Journal of Concrete Structures & Materials, 2024, v. 18, n. 1, p. 1, doi. 10.1186/s40069-024-00677-w
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Impact of economic indicators on rice production: A machine learning approach in Sri Lanka.
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- PLoS ONE, 2024, v. 19, n. 6, p. 1, doi. 10.1371/journal.pone.0303883
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Optimization of 3D printed bioinspired helicoidal composites using Gaussian process regression.
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- Polymer Composites, 2024, v. 45, n. 9, p. 8202, doi. 10.1002/pc.28334
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Kriging-based surrogate data-enriching artificial neural network prediction of strength and permeability of permeable cement-stabilized base.
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- Nature Communications, 2024, v. 15, n. 1, p. 1, doi. 10.1038/s41467-024-48766-4
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Strategies for the fast optimization of the glass transition temperature of sustainable epoxy resin systems via machine learning.
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- Journal of Applied Polymer Science, 2024, v. 141, n. 21, p. 1, doi. 10.1002/app.55422
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- Article
Design of enlarged phononic bandgap 2.5D acoustic resonator via active learning and non-gradient optimization.
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- Micro & Nano Systems Letters, 2024, v. 12, n. 1, p. 1, doi. 10.1186/s40486-024-00202-4
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Three‐dimensional Modeling of Ore‐forming Elements and Mineralization Prognosis for the Yechangping Mo Deposit, Henan Province, China.
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- Acta Geologica Sinica (English Edition), 2024, v. 98, n. 3, p. 736, doi. 10.1111/1755-6724.15160
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Estimation of the Surface Free Energy Components for Solid Surfaces: A Machine Learning Approach.
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- Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ), 2024, v. 49, n. 6, p. 7863, doi. 10.1007/s13369-023-08502-4
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Enhancing photovoltaic energy forecasting: a progressive approach using wavelet packet decomposition.
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- Clean Energy, 2024, v. 8, n. 3, p. 95, doi. 10.1093/ce/zkae027
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Stochastic emulation with enhanced partial‐ and no‐replication strategies for seismic response distribution estimation.
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- Earthquake Engineering & Structural Dynamics, 2024, v. 53, n. 7, p. 2354, doi. 10.1002/eqe.4115
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- Article
Short-term load analysis and forecasting using stochastic approach considering pandemic effects.
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- Electrical Engineering, 2024, v. 106, n. 3, p. 3097, doi. 10.1007/s00202-023-02135-4
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- Article
Impact of Solder Voids on IGBT Thermal Behavior: A Multi-Methodological Approach.
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- Electronics (2079-9292), 2024, v. 13, n. 11, p. 2188, doi. 10.3390/electronics13112188
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Machine learning-based thermo-electrical performance improvement of nanofluid-cooled photovoltaic–thermal system.
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- Energy & Environment, 2024, v. 35, n. 4, p. 1793, doi. 10.1177/0958305X221146947
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- Article
Recursive nearest neighbor co‐kriging models for big multi‐fidelity spatial data sets.
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- Environmetrics, 2024, v. 35, n. 4, p. 1, doi. 10.1002/env.2844
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Predicting the coefficient of friction in a sliding contact by applying machine learning to acoustic emission data.
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- Friction (2223-7704), 2024, v. 12, n. 6, p. 1299, doi. 10.1007/s40544-023-0834-7
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- Article
An Efficient Solution for Probabilistic Slope Seismic Stability Analysis Based on Polynomial Chao Kriging Metamodel.
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- GeoHazards, 2024, v. 5, n. 2, p. 530, doi. 10.3390/geohazards5020027
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Reciprocal cross‐correlation analysis of two‐phase seepage processes and reservoir heterogeneities in CO<sub>2</sub> saline aquifer sequestration.
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- Greenhouse Gases: Science & Technology, 2024, v. 14, n. 3, p. 356, doi. 10.1002/ghg.2268
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Prediction of Blast-induced Ground Vibration using Eight New Intelligent Models.
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- IAENG International Journal of Computer Science, 2024, v. 51, n. 6, p. 642
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Time-Variant Reliability Analysis with an Adaptive Single-Loop Kriging Combined with Directional Sampling Method.
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- International Journal of Computational Methods, 2024, v. 21, n. 5, p. 1, doi. 10.1142/S021987622450004X
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Dynamic prediction for attitude and position in shield tunneling based on hybrid deep learning method.
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- Journal of Donghua University (Natural Science Edition), 2024, v. 50, n. 3, p. 145, doi. 10.19886/j.cnki.dhdz.2023.0472
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Data-driven prediction of keyhole features in metal additive manufacturing based on physics-based simulation.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 5, p. 2313, doi. 10.1007/s10845-023-02157-6
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Application of MCS, GRNN, and GPR for performing the reliability analysis of rock slope.
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- Natural Hazards, 2024, v. 120, n. 8, p. 7897, doi. 10.1007/s11069-024-06472-w
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- Article
Soil sampling and sensed ancillary data requirements for soil mapping in precision agriculture I. delineation of management zones to determine zone averages of soil properties.
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- Precision Agriculture, 2024, v. 25, n. 3, p. 1181, doi. 10.1007/s11119-023-10107-8
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Estimating rainfed groundnut's leaf area index using Sentinel-2 based on Machine Learning Regression Algorithms and Empirical Models.
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- Precision Agriculture, 2024, v. 25, n. 3, p. 1404, doi. 10.1007/s11119-024-10117-0
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AOK‐ES: Adaptive optimized Kriging combining efficient sampling for structural reliability analysis.
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- Quality & Reliability Engineering International, 2024, v. 40, n. 4, p. 1502, doi. 10.1002/qre.3493
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- Article
Estimating Forest Aboveground Biomass Using a Combination of Geographical Random Forest and Empirical Bayesian Kriging Models.
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- Remote Sensing, 2024, v. 16, n. 11, p. 1859, doi. 10.3390/rs16111859
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Mitigating Measurement Inaccuracies in Digital Twins of Construction Machinery through Multi-Objective Optimization.
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- Sensors (14248220), 2024, v. 24, n. 11, p. 3347, doi. 10.3390/s24113347
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Sequential metamodel‐based approaches to level‐set estimation under heteroscedasticity.
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- Statistical Analysis & Data Mining, 2024, v. 17, n. 3, p. 1, doi. 10.1002/sam.11697
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Prediction in regression models with continuous observations.
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- Statistical Papers, 2024, v. 65, n. 4, p. 1985, doi. 10.1007/s00362-023-01465-6
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- Article
Borehole‐Based Interval Kriging for 3D Lithofacies Modeling.
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- Water Resources Research, 2024, v. 60, n. 6, p. 1, doi. 10.1029/2023WR035020
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An interpretable online prediction method for remaining useful life of lithium-ion batteries.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-63160-2
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Advancing Energy Performance Efficiency in Residential Buildings for Sustainable Design: Integrating Machine Learning and Optimized Explainable AI (AIX).
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- International Journal of Energy Research, 2024, v. 2024, p. 1, doi. 10.1155/2024/6130634
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Forecasting wholesale prices of yellow corn through the Gaussian process regression.
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- Neural Computing & Applications, 2024, v. 36, n. 15, p. 8693, doi. 10.1007/s00521-024-09531-2
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- Article
Prediction of Individual Gas Yields of Supercritical Water Gasification of Lignocellulosic Biomass by Machine Learning Models.
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- Molecules, 2024, v. 29, n. 10, p. 2337, doi. 10.3390/molecules29102337
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Hybrid Machine Learning and Geostatistical Methods for Gap Filling and Predicting Solar-Induced Fluorescence Values.
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- Remote Sensing, 2024, v. 16, n. 10, p. 1707, doi. 10.3390/rs16101707
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- Article
Coupling Global Parameters and Local Flow Optimization of a Pulsed Ejector for Proton Exchange Membrane Fuel Cells.
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- Sustainability (2071-1050), 2024, v. 16, n. 10, p. 4170, doi. 10.3390/su16104170
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Reverse engineering morphogenesis through Bayesian optimization of physics-based models.
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- NPJ Systems Biology & Applications, 2024, v. 10, n. 1, p. 1, doi. 10.1038/s41540-024-00375-z
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TOI-1135 b: A young hot Saturn-size planet orbiting a solar-type star.
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- Astronomy & Astrophysics / Astronomie et Astrophysique, 2024, v. 685, p. 1, doi. 10.1051/0004-6361/202349016
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Analysis of Flight Loads during Symmetric Aircraft Maneuvers Based on the Gradient-Enhanced Kriging Model.
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- Aerospace (MDPI Publishing), 2024, v. 11, n. 5, p. 334, doi. 10.3390/aerospace11050334
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Improving Wheat Leaf Nitrogen Concentration (LNC) Estimation across Multiple Growth Stages Using Feature Combination Indices (FCIs) from UAV Multispectral Imagery.
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- Agronomy, 2024, v. 14, n. 5, p. 1052, doi. 10.3390/agronomy14051052
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Contribution to advancing aquifer geometric mapping using machine learning and deep learning techniques: a case study of the AL Haouz-Mejjate aquifer, Marrakech, Morocco.
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- Applied Water Science, 2024, v. 14, n. 5, p. 1, doi. 10.1007/s13201-024-02162-x
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Research on Statistical Characteristics and Prediction Methods of Ferronickel Slag Pervious Concrete Performance with Different Sizes of Aggregate and Mixtures.
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- Buildings (2075-5309), 2024, v. 14, n. 5, p. 1255, doi. 10.3390/buildings14051255
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A dual Kriging-XGBoost model for reconstructing building seismic responses using strong motion data.
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- Bulletin of Earthquake Engineering, 2024, v. 22, n. 7, p. 3563, doi. 10.1007/s10518-023-01624-y
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- Article