Towards Purpose-aware Privacy-Preserving Techniques for Predictive Applications

Flood Risk Modeling Aided by Machine Learning Techniques: Using a Treed Gaussian Process for a Case Study in Charleston, South Carolina

Go With The Flow: Fault-Tolerant Decentralized Training of Large Language Models: Decentralised Training of Large Language Models

General Tree Evaluation for AlphaZero

Optimizing Square Plates with Symmetrically Reinforced Circular Cutouts for Shear Buckling: A Bayesian Optimization Approach to Minimum Weight Design

Application of machine learning in the structural design process of bascule bridges: Using an artificial neural network to generate structural bascule bridge designs in Grasshopper

Proof-of-concept of personalized CIED-derived modeling for ambulatory heart failure monitoring

Cost Estimation for Factorized Machine Learning

Machine Learning Aided Reliability Analysis for Spatially Varying Slopes in 2D and 3D

Automated Detection of Patient-Ventilator Asynchrony in Mechanically Ventilated Patients

A Domain Decompositionbased CNN Architecture for High-Resolution Image Segmentation

Interactive Intelligence: Multimodal AI for Real-Time Interaction Loop towards Attentive E-Reading

Clustering Learning Curves in Machine Learning using K-Means Algorithm: Can patterns be identified amongst learning curves after the application of the K-Means algorithm using point and statistical vectors?

Learning Curve Extrapolation using Machine Learning: Benefits and Limitations of using LCPFN for Learning Curve Extrapolation

Assimilating ASCAT normalized backscatter and slope into the land surface model ISBA-A-gs using a Deep Neural Network as the observation operator: Case studies at ISMN stations in western Europe

A review on machine learning in flexible surgical and interventional robots: Where we are and where we are going

A multi-step fast charging-based battery capacity estimation framework of real-world electric vehicles

Advancing railway track health monitoring: Integrating GPR, InSAR and machine learning for enhanced asset management

Prediction of soil compaction parameters through the development and experimental validation of Gaussian process regression models

Artificial intelligence combined with high-throughput calculations to improve the corrosion resistance of AlMgZn alloy