Works matching DE "KRIGING"
Results: 3969
MACHINE LEARNING-BASED PREDICTIVE MODELLING OF LAMINATED COMPOSITES.
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- MM Science Journal, 2025, p. 8169, doi. 10.17973/MMSJ.2025_03_2025007
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Method to Establish Intense Rainfall Equations Based in Geoprocessing: Method to Establish Intense Rainfall Equations Based in Geoprocessing: de Almeida et al.
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- Environmental Modeling & Assessment, 2025, v. 30, n. 1, p. 141, doi. 10.1007/s10666-024-09999-1
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Bayesian monitoring of machining processes using non-intrusive sensing and on-machine comparator measurement.
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- International Journal of Advanced Manufacturing Technology, 2025, v. 137, n. 3, p. 1929, doi. 10.1007/s00170-025-15174-x
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A SIMULATION-BASED OPTIMIZATION APPROACH TO ENHANCE DRIVE SHAFT FATIGUE STRENGTH.
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- International Journal of Simulation Modelling (IJSIMM), 2025, v. 24, n. 1, p. 123, doi. 10.2507/IJSIMM24-1-CO1
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Data-driven uncertainty quantification and sensitivity studies in free vibration behavior of bio-inspired helicoidal laminated composite cylindrical shells.
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- Mechanics of Advanced Materials & Structures, 2025, v. 32, n. 5, p. 749, doi. 10.1080/15376494.2024.2355369
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Data-Driven Machine-Learning-Based Seismic Response Prediction and Damage Classification for an Unreinforced Masonry Building.
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- Applied Sciences (2076-3417), 2025, v. 15, n. 4, p. 1686, doi. 10.3390/app15041686
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Leveraging Deep Learning for Automated Experimental Semivariogram Fitting.
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- Atmosphere, 2025, v. 16, n. 2, p. 191, doi. 10.3390/atmos16020191
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A precise and efficient exceedance-set algorithm for detecting environmental extremes: A precise and efficient exceedance-set algorithm for...: T. Suesse, A. Brenning.
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- Computational Statistics, 2025, v. 40, n. 3, p. 1583, doi. 10.1007/s00180-024-01540-y
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Improved Confidence-Interval Estimations Using Uncertainty Measure and Weighted Feature Decisions for Cuff-Less Blood-Pressure Measurements.
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- Bioengineering (Basel), 2025, v. 12, n. 2, p. 131, doi. 10.3390/bioengineering12020131
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Inlet Passage Hydraulic Performance Optimization of Coastal Drainage Pump System Based on Machine Learning Algorithms.
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- Journal of Marine Science & Engineering, 2025, v. 13, n. 2, p. 274, doi. 10.3390/jmse13020274
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Multi-Objective Lightweight Design Method for Lower Control Arms Based on Multi-Axial Random Vibration Fatigue Life.
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- Machines, 2025, v. 13, n. 2, p. 143, doi. 10.3390/machines13020143
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Fast Calculation of Gaussian Process Multiple-Fold Cross-Validation Residuals and their Covariances.
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- Journal of Computational & Graphical Statistics, 2025, v. 34, n. 1, p. 1, doi. 10.1080/10618600.2024.2353633
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An optimized decomposition integration framework for carbon price prediction based on multi-factor two-stage feature dimension reduction.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 1229, doi. 10.1007/s10479-022-04858-2
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Sparse restoration of fractal self-similar data and its application in uranium distribution.
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- Journal of Radioanalytical & Nuclear Chemistry, 2025, v. 334, n. 2, p. 1205, doi. 10.1007/s10967-024-09950-4
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Spatial Estimation of Soil Organic Matter and Total Nitrogen by Fusing Field Vis–NIR Spectroscopy and Multispectral Remote Sensing Data.
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- Remote Sensing, 2025, v. 17, n. 4, p. 729, doi. 10.3390/rs17040729
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Machine Learning to Retrieve Gap-Free Land Surface Temperature from Infrared Atmospheric Sounding Interferometer Observations.
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- Remote Sensing, 2025, v. 17, n. 4, p. 694, doi. 10.3390/rs17040694
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Three-Stage Up-Scaling and Uncertainty Estimation in Forest Aboveground Biomass Based on Multi-Source Remote Sensing Data Considering Spatial Correlation.
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- Remote Sensing, 2025, v. 17, n. 4, p. 671, doi. 10.3390/rs17040671
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Impacts of Reference Precipitation on the Assessment of Global Precipitation Measurement Precipitation Products.
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- Remote Sensing, 2025, v. 17, n. 4, p. 624, doi. 10.3390/rs17040624
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An Assessment of Local Geometric Uncertainties in Polysilicon MEMS: A Genetic Algorithm and POD-Kriging Surrogate Modeling Approach.
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- Micromachines, 2025, v. 16, n. 2, p. 127, doi. 10.3390/mi16020127
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Efficient Online Controller Tuning for Omnidirectional Mobile Robots Using a Multivariate-Multitarget Polynomial Prediction Model and Evolutionary Optimization.
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- Biomimetics (2313-7673), 2025, v. 10, n. 2, p. 114, doi. 10.3390/biomimetics10020114
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Exploring Walking Path Quality as a Factor for Urban Elementary School Children's Active Transport to School.
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- Journal of Physical Activity & Health, 2013, v. 10, n. 3, p. 323, doi. 10.1123/jpah.10.3.323
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Analysis of heavy metal concentrations in soil using Kriging technique using remote sensing data.
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- Multimedia Tools & Applications, 2024, v. 83, n. 25, p. 65913, doi. 10.1007/s11042-023-17799-0
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Prediction and Conditional Simulation of a 2D Lognormal Diffusion Random Field.
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- Methodology & Computing in Applied Probability, 2007, v. 9, n. 3, p. 413, doi. 10.1007/s11009-007-9029-3
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A fast method of estimating the gravitational acceleration of asteroids with irregular shapes.
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- Celestial Mechanics & Dynamical Astronomy, 2023, v. 135, n. 1, p. 1, doi. 10.1007/s10569-022-10117-0
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Machine learning methods applied to combined Raman and LIBS spectra: Implications for mineral discrimination in planetary missions.
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- Journal of Raman Spectroscopy, 2023, v. 54, n. 11, p. 1353, doi. 10.1002/jrs.6611
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3-D geometric design of microwaveable food products for optimal heating uniformity based on machine learning-supervised multiphysics models.
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- Food & Bioproducts Processing: Transactions of the Institution of Chemical Engineers Part C, 2024, v. 147, p. 393, doi. 10.1016/j.fbp.2024.07.017
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Optimal weighted combinatorial forecasting model of QT dispersion of ECGs in Chinese adults.
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- International Journal of Biometeorology, 2016, v. 60, n. 7, p. 1089, doi. 10.1007/s00484-015-1102-y
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Spatial and temporal modeling of daily pollen concentrations.
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- International Journal of Biometeorology, 2012, v. 56, n. 1, p. 183, doi. 10.1007/s00484-011-0412-y
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A non-uniform spatiotemporal kriging interpolation algorithm for landslide displacement data.
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- Bulletin of Engineering Geology & the Environment, 2019, v. 78, n. 6, p. 4153, doi. 10.1007/s10064-018-1388-1
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Using geostatistical simulation to determine optimal grout injection pressure in dam foundation based on geomechanical characteristics.
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- Bulletin of Engineering Geology & the Environment, 2019, v. 78, n. 4, p. 2253, doi. 10.1007/s10064-018-1289-3
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Combination of Kriging methods and multi-fractal analysis for estimating spatial distribution of geotechnical parameters.
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- Bulletin of Engineering Geology & the Environment, 2016, v. 75, n. 1, p. 413, doi. 10.1007/s10064-015-0742-9
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Implementation of stacking regressor model on the flow induced by TiO<sub>2</sub>‐H<sub>2</sub>O and Ti<sub>6</sub>Al<sub>4</sub>V‐H<sub>2</sub>O nanofluid with waste discharge concentration.
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- ZAMM -- Journal of Applied Mathematics & Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 2024, v. 104, n. 12, p. 1, doi. 10.1002/zamm.202300796
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Comparing sampling strategies for aerodynamic Kriging surrogate models.
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- ZAMM -- Journal of Applied Mathematics & Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 2012, v. 92, n. 11/12, p. 852, doi. 10.1002/zamm.201100112
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Polls, Context, and Time: A Dynamic Hierarchical Bayesian Forecasting Model for US Senate Elections.
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- Political Analysis, 2023, v. 31, n. 1, p. 113, doi. 10.1017/pan.2021.42
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Geological and geostatistical analysis for equivalent uranium and thorium mineralization, Gattar-V Eastern Desert, Egypt.
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- Mining of Mineral Deposits, 2023, v. 17, n. 4, p. 18, doi. 10.33271/mining17.04.018
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A Comparison of Four Spatial Interpolation Methods for Modeling Fine-Scale Surface Fuel Load in a Mixed Conifer Forest with Complex Terrain.
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- Fire (2571-6255), 2023, v. 6, n. 6, p. 216, doi. 10.3390/fire6060216
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Optimización de hiperparámetros de regresión del proceso gaussiano para predecir problemas financieros.
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- Retos, Revista de Ciencias Administrativas y Económicas, 2023, v. 13, n. 26, p. 273, doi. 10.17163/ret.n26.2023.06
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A Two-State-Based Hybrid Model for Degradation and Capacity Prediction of Lithium-Ion Batteries with Capacity Recovery.
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- Batteries, 2023, v. 9, n. 12, p. 596, doi. 10.3390/batteries9120596
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Adaptation of Deep Network in Transfer Learning for Estimating State of Health in Electric Vehicles during Operation.
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- Batteries, 2023, v. 9, n. 11, p. 547, doi. 10.3390/batteries9110547
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Predicting the Cycle Life of Lithium-Ion Batteries Using Data-Driven Machine Learning Based on Discharge Voltage Curves.
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- Batteries, 2023, v. 9, n. 8, p. 413, doi. 10.3390/batteries9080413
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Prediction of the Heat Generation Rate of Lithium-Ion Batteries Based on Three Machine Learning Algorithms.
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- Batteries, 2023, v. 9, n. 3, p. 165, doi. 10.3390/batteries9030165
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A Method for Abnormal Battery Charging Capacity Diagnosis Based on Electric Vehicles Operation Data.
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- Batteries, 2023, v. 9, n. 2, p. 103, doi. 10.3390/batteries9020103
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State of Health Trajectory Prediction Based on Multi-Output Gaussian Process Regression for Lithium-Ion Battery.
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- Batteries, 2022, v. 8, n. 10, p. N.PAG, doi. 10.3390/batteries8100134
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Comparison of stochastic and deterministic methods for mapping groundwater level spatial variability in sparsely monitored basins.
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- Environmental Monitoring & Assessment, 2013, v. 185, n. 1, p. 1, doi. 10.1007/s10661-012-2527-y
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Spatial assessment of soil salinity in the Harran Plain using multiple kriging techniques.
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- Environmental Monitoring & Assessment, 2013, v. 185, n. 1, p. 777, doi. 10.1007/s10661-012-2591-3
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Estimation of nested spatial patterns and seasonal variation in the longitudinal distribution of Sicyopterus japonicus in the Datuan Stream, Taiwan by using geostatistical methods.
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- Environmental Monitoring & Assessment, 2011, v. 178, n. 1-4, p. 1, doi. 10.1007/s10661-010-1666-2
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Indicator and probability kriging methods for delineating Cu, Fe, and Mn contamination in groundwater of Najafgarh Block, Delhi, India.
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- Environmental Monitoring & Assessment, 2011, v. 176, n. 1-4, p. 663, doi. 10.1007/s10661-010-1611-4
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Groundwater depth and elevation interpolation by kriging methods in Mohr Basin of Fars province in Iran.
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- Environmental Monitoring & Assessment, 2010, v. 166, n. 1-4, p. 387, doi. 10.1007/s10661-009-1010-x
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Application and evaluation of kriging and cokriging methods on groundwater depth mapping.
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- Environmental Monitoring & Assessment, 2008, v. 138, n. 1-3, p. 357, doi. 10.1007/s10661-007-9803-2
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Using decision trees to predict benthic communities within and near the German Exclusive Economic Zone (EEZ) of the North Sea.
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- Environmental Monitoring & Assessment, 2008, v. 136, n. 1-3, p. 313, doi. 10.1007/s10661-007-9687-1
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