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Computationally Aware Surrogate Models for the Hydrodynamic Response Characterization of Floating Spar-Type Offshore Wind Turbine
Computationally Aware Surrogate Models for the Hydrodynamic Response Characterization of Floating Spar-Type Offshore Wind Turbine
Improving global digital elevation models using space-borne GEDI and ICESat-2 LiDAR altimetry data
Improving global digital elevation models using space-borne GEDI and ICESat-2 LiDAR altimetry data
Paving the road towards automated homogeneous catalyst design
Paving the road towards automated homogeneous catalyst design
Improved drought forecasting in Kazakhstan using machine and deep learning
Improved drought forecasting in Kazakhstan using machine and deep learning: a non-contiguous drought analysis approach
Downscaling MODIS NDSI to Sentinel-2 fractional snow cover by random forest regression
Downscaling MODIS NDSI to Sentinel-2 fractional snow cover by random forest regression
Hydrogen Storage on Porous Carbon Adsorbents
Hydrogen Storage on Porous Carbon Adsorbents: Rediscovery by Nature-Derived Algorithms in Random Forest Machine Learning Model
Exploring the Use of Granger Causality for the Identification of Chemical Exposure Based on Physiological Data
Exploring the Use of Granger Causality for the Identification of Chemical Exposure Based on Physiological Data
Machine Learning Approach for the Prediction of Eutectic Temperatures for Metal-Free Deep Eutectic Solvents
Machine Learning Approach for the Prediction of Eutectic Temperatures for Metal-Free Deep Eutectic Solvents
Anomaly Detection in WAAM Deposition of Nickel Alloys
Anomaly Detection in WAAM Deposition of Nickel Alloys: Single-Material and Cross-Material Analysis
Bicycle Data-Driven Application Framework
Bicycle Data-Driven Application Framework: A Dutch Case Study on Machine Learning-Based Bicycle Delay Estimation at Signalized Intersections Using Nationwide Sparse GPS Data
Unveiling microbial biomarkers of ruminant methane emission through machine learning
Unveiling microbial biomarkers of ruminant methane emission through machine learning
Towards automated video-based assessment of dystonia in dyskinetic cerebral palsy
Towards automated video-based assessment of dystonia in dyskinetic cerebral palsy: A novel approach using markerless motion tracking and machine learning
ELISL: early-late integrated synthetic lethality prediction in cancer
ELISL: early-late integrated synthetic lethality prediction in cancer
Annotation Practices in Societally Impactful Machine Learning Applications
Annotation Practices in Societally Impactful Machine Learning Applications: What are Popular Recommender Systems Models Actually Trained On?
Operationalizing modular autonomous customised buses based on different demand prediction scenarios
Operationalizing modular autonomous customised buses based on different demand prediction scenarios
Machine learning based parameter sensitivity of regional climate models
Machine learning based parameter sensitivity of regional climate models: a case study of the WRF model for heat extremes over Southeast Australia
Advecting Superspecies
Advecting Superspecies: Efficiently Modeling Transport of Organic Aerosol With a Mass-Conserving Dimensionality Reduction Method
Self-Supervised Learning for Enhancing Angular Resolution in Automotive MIMO Radars
Self-Supervised Learning for Enhancing Angular Resolution in Automotive MIMO Radars
Recent advancements of landslide hydrology
Recent advancements of landslide hydrology
Obukhov Length Estimation From Spaceborne Radars
Obukhov Length Estimation From Spaceborne Radars
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