Review and Mapping of Search-Based Approaches for Program Synthesis

Learning Graph Configuration Spaces to Support Road Network Design Optimisation

Millimeter-Wave MIMO Array with Low Interactions Between its Antenna Elements for Fifth Generation Wireless Communication Networks

Machine Learning Approaches to Code Similarity Measurement: A Systematic Review

EPCNet: Implementing an ‘Artificial Fovea’ for More Efficient Monitoring Using the Sensor Fusion of an Event-Based and a Frame-Based Camera

Efficient object detection is crucial to real-time monitoring applications such as autonomous driving or security systems. Modern RGB cameras can produce high-resolution images for accurate object detection. However, increased resolution results in increased network latency and power consumption. To minimise this latency, Convolutional Neural Networks (CNNs) often have a resolution limitation, requiring images to be...

On the limit: Estimating round baler torque for grass harvesting scenarios

This paper introduces a novel, cost-effective approach to measure loading torque on an agricultural baler implement. Round balers gather grass fodder and form cylindrical bales, which are subsequently used for feeding livestock. As fodder accumulates within the bale chamber, the torque on the drive shaft increases, necessitating an increase in input power. The operator must...

Benford’s Law in Basic RNN and Long Short-Term Memory and Their Associations

Analysing Software Quality of AI-Translated Code:: A Comparative Study of Large Language Models Using Static Analysis

Beyond aggregate fairness: intersectional auditing across the AI fairness pipeline

Applying Graph Neural Networks to Learn Graph Configuration Spaces

The configuration process for feature-oriented product lines is well-researched for Boolean and numerical feature configurations. However, in several engineering fields, we encounter the challenge of finding the optimal graph structure to describe a product configuration. Optimising complex graph structures towards multiple objectives within numerous constraints requires a deep understanding of the graph configuration space and...