This paper investigates the task scheduling problem for the Earth observation Interferometric Synthetic Aperture Radar (InSAR) satellite system. The mission time window generation method is introduced ...

Laura holds a Master's in Experimental Neuroscience and a Bachelor's in Biology from Imperial College London. Her areas of expertise include health, medicine, psychology, and neuroscience. Laura holds ...

Abstract: This research proposes the development of a mobile educational application based on Augmented Reality (AR) and Artificial Intelligence (AI) to improve the learning of sorting algorithms ...

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Defect detection in micro-motor windings is critical for ensuring product quality and production efficiency. However, the production process often generates varied and unevenly distributed defects.

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As the world races to build artificial superintelligence, one maverick bioengineer is testing how much unprogrammed intelligence may already be lurking in our simplest algorithms to determine whether ...

Children often surprise us with their natural problem-solving skills. A new study shows that they can discover efficient algorithms on their own. Researchers Huiwen Alex Yang, Bill D. Thompson, and ...

Children as young as 4 years old are capable of finding efficient solutions to complex problems, such as independently inventing sorting algorithms developed by computer scientists. The scientists ...

This is a comparison of domain-specific sort algorithms to modern general-purpose hybrid sort algorithms. Bias disclosure: the author of this document is the co-author of ipnsort and driftsort which ...