Label synchronization for Hybrid Federated Learning in manufacturing and predictive maintenance

Assessment of the spatiotemporal prediction capabilities of machine learning algorithms on Sea Surface Temperature data: A comprehensive study

Promises of Deep Kernel Learning for Control Synthesis

The usefulness of artificial intelligence for safety assessment of different transport modes

Using Machine Learning for Agent Specifications in Agent-Based Models and Simulations: A Critical Review and Guidelines

Advancing Design Approaches through Data-Driven Techniques: Patient Community Journey Mapping Using Online Stories and Machine Learning

Driver Profile and Driving Pattern Recognition for Road Safety Assessment: Main Challenges and Future Directions

Design of Artificial Neural Network for predicting the reduction in permeability of porous media as a result of polymer gel injection

Room energy demand and thermal comfort predictions in early stages of design based on the Machine Learning methods

The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems

A Two-Step Feature Extraction Algorithm: Application to deep learning for point cloud classification

Semantic segmentation of historical photographs of the Antarctica peninsula

Verifying Machine Learning conclusions for securing Low Inertia systems

Artificial Intelligence-based short-term forecasting of vessel performance parameters

“What is OUV” revisited: A computational interpretation on the statements of outstanding universal value

AI lifecycle models need to be revised: An exploratory study in Fintech

Investigation of pointnet for semantic segmentation of large-scale outdoor point clouds

Automatic change detection of digital maps using aerial images and point clouds

Co-designing diagnosis: Towards a responsible integration of Machine Learning decision-support systems in medical diagnostics

Ship diesel engine performance modelling with combined physical and machine learning approach