Label synchronization for Hybrid Federated Learning in manufacturing and predictive maintenance

Towards Automatic Principles of Persuasion Detection Using Machine Learning Approach

AI-Assisted Design & Optimization for Predictive Maintenance: A Case Study using Deep Learning and Search Metaheuristics for Structural Health Monitoring in Aviation

In silico exploration of post-burn contraction using uncertainty quantification

Machine learning and randomness in mechanical metamaterials

On Safety in Machine Learning

Improving satellite remote sensing methodologies for analyzing landscape dynamics in arid environments with focus on Egypt

Anomaly Detection and Synthetic Data Generation for Power Systems Using Autoencoder Neural Networks

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

Searching for Quality: Genetic Algorithms and Metamorphic Testing for Software Engineering ML

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

Mapping Urban Heritage Images with Social Media Data and Artificial Intelligence, A Case Study in Testaccio, Rome

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

Regularised Learning with Selected Physics for Power System Dynamics

MNEMOSENE++: Scalable Multi-Tile Design with Enhanced Buffering and VGSOT-MRAM based Compute-in-Memory Crossbar Array

Brain Activity Recognition using Deep Electroencephalography Representation

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