- Paving the way for the integration of synthesis, assessment, and design tools within an ontological framework
- Explainable Artificial Intelligence to Investigate the Contribution of Design Variables to the Static Characteristics of Bistable Composite Laminates
- Machine Learning for Detecting Virus Infection Hotspots Via Wastewater-Based Epidemiology: The Case of SARS-CoV-2 RNA
- Simulated Design-Build-Test-Learn Cycles for Consistent Comparison of Machine Learning Methods in Metabolic Engineering
- Contestable Camera Cars: A Speculative Design Exploration of Public AI That Is Open and Responsive to Dispute
- Hydrogen Storage on Porous Carbon Adsorbents: Rediscovery by Nature-Derived Algorithms in Random Forest Machine Learning Model
- The Human Activity Radar Challenge: Benchmarking based on the ‘Radar signatures of human activities’ dataset from Glasgow University
- High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations
- Towards automated video-based assessment of dystonia in dyskinetic cerebral palsy: A novel approach using markerless motion tracking and machine learning
- Machine Learning Approach for the Prediction of Eutectic Temperatures for Metal-Free Deep Eutectic Solvents
- Radar Sensing in Healthcare: Challenges and Achievements in Human Activity Classification & Vital Signs Monitoring