Albedometer Design: Improving the Accuracy, Functionality and Usability of the TUDelft Spectrally Resolved Albedometer

Home Energy Management System: A Machine Learning Approach

Data-Driven Wind Turbine Power Anomaly Detection Using SCADA

Meta-learning for few-shot on-chip sequence classification

Probabilistic Regression of wind turbine loads using Conditional Generative Adversarial Networks

Land Cover Change and Hydroclimatic Deviation: A Detailed Examination within the Budyko Framework

Positive Eating: Fostering Wellbeing in Healthy Eating Experiences Supported by AI-Driven Systems

Application of the Non-Intrusive Reduced-Basis Method in Magnetotellurics for High-Temperature Geothermal Systems

Control of Dynamical Systems via Deep Kernel Learning

Anomaly Detection in WAAM Deposition of Nickel Alloys: Single-Material and Cross-Material Analysis

Prediction of Post-induction Hypotension by Machine Learning

Test Program-Based Generative Fuzzing for Differential Testing of the Kotlin Compiler

Preoperative assessment of the histopathological growth patterns of colorectal liver metastasis on CT using artificial intelligence

Blockchain-Based Verifiable and Privacy-Preserving Machine Learning Inference

Machine Learning and Causal Inference for the estimation of the effect of tacrolimus on kidney rejections

Machine Learning Driven PV-Climate Classification

Leveraging Related Datasets to Improve Model Performance on an Underrepresented Target Population

Predictive Analysis of Anti-NMDA-Receptor Encephalitis: using a Random Forest Classifier on EEG Data

A Methodology for Damage Detection Using Unsupervised Learning in the Field of Structural Health Monitoring: Based on Gaussian Mixture Modeling

Feature extraction and classification on heart rate time series for cardiovascular diseases