Predicting Vessel Motions: A Comparative Analysis of Machine Learning and Conventional Approaches

Label synchronization for Hybrid Federated Learning in manufacturing and predictive maintenance

Towards Automatic Principles of Persuasion Detection Using Machine Learning Approach

A Hybrid Reinforcement Learning and Tree Search Approach for Network Topology Control

Daily Life Activity Recognition with a Head Mounted IMU on Older Adults: Which Features to Extract?

Federated Learning with Rebalanced Dataset

Design of a Spacecraft Pose Estimation System Using Convolutional Neural Networks

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

Diagnosis Methodology for STT-MRAM: Defect Identification and Classification

Prediction of Discharges from Polders to ‘Boezem’ Canals with a Random Forest and an LSTM Model: Improving Inputs of the Decision Support System of the Hoogheemraadschap van Delfland

Development and validation of a Machine Learning-Based Pharmacodynamic Model Of Rocuronium induced neuromuscular block during general anesthesia: Using the Leiden Data Logger

Design of Ferritic-Bainitic High Strength Steels: A Physical Metallurgy Guided Machine Learning

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

In silico exploration of post-burn contraction using uncertainty quantification

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