To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

Abstract: Creating real-time indoor environment digital twins (DTs) is challenging when integrating diverse datasets with Building Information Models (BIMs). This study compares four machine learning ...

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...

Abstract: The control of pneumatic soft robotics is challenging due to nonlinearites arising from many factors including pneumatic system components and material properties of the soft actuator.

ST. PAUL — Artificial intelligence has been getting a lot of attention lately, both for its increasing abilities and its risks of exploitation. Its downfalls dominated the conversation Wednesday, Feb.