- Computationally Aware Surrogate Models for the Hydrodynamic Response Characterization of Floating Spar-Type Offshore Wind Turbine
- Improved drought forecasting in Kazakhstan using machine and deep learning: a non-contiguous drought analysis approach
- Evaluating the Impact of Assignment Group and Category Classification Prediction of Incoming Service Requests on the Perceived Service Quality: A Quasiexperimental Study in the Enterprise Software Industry
- Bicycle Data-Driven Application Framework: A Dutch Case Study on Machine Learning-Based Bicycle Delay Estimation at Signalized Intersections Using Nationwide Sparse GPS Data
- Annotation Practices in Societally Impactful Machine Learning Applications: What are Popular Recommender Systems Models Actually Trained On?
- Advecting Superspecies: Efficiently Modeling Transport of Organic Aerosol With a Mass-Conserving Dimensionality Reduction Method
- Explainable Artificial Intelligence to Investigate the Contribution of Design Variables to the Static Characteristics of Bistable Composite Laminates