MIHEA in Action: A Reproduction Study and Evaluation on Learning Bayesian Networks from Data

Supporting Decision Making under Deep Uncertainty techniques with hydraulic modeling

Optimizing Database Joins: Cost Models and Benchmarking for CPU and GPU Systems

Graphene Genetics: Designing an Analog-to-Digital Converter in Graphene Utilizing an Evolutionary Algorithm

Solving the Online 3D Bin Packing Problem with Graph-Based Reinforcement Learning

Development of Finite Element Models to study Pavement Widening

Structure Guided Directed Evolution of Enzymes

10th International Airborne Wind Energy Conference (AWEC 2024): Book of Abstracts

An Aircraft-Integrated Control System Based on Bridle Actuation for AWE Machines

An Update on Kitekraft’s Progress

Analysis and Experimental Validation of a Low-Complexity Enhanced Orientation-Based Controller for Tethered Energy Harvesting Systems

Airborne Wind Energy Technology Assessment: Method and Tool

AWE Resources over Spain: Potential Added Value with Respect to Conventional Renewables

Automatic Circular Take–off and Landing of Self–Propelled Kites

A Bayesian Model for the Prediction of Extreme Winds

A Small-Scale and Multipurpose Airborne Wind Energy Prototype

A Parachute-Based Airborne Wind Energy System and Aerodynamic Characteristics

A Discussion on Automatic Take-off and Landing Approaches for Airborne Wind Energy Systems

A Sensor Fusion Approach for Accurate Wind Estimation and System Characterization

Aerodynamic Shape Optimization of Airfoils and Wings for Crosswind Kites