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Nothing artificial about intelligence gained through industry internship for SmartSat PhD student

Jordan Shipard is the latest SmartSat PhD student to complete a successful internship, this time within the Australian space industry. A SmartSat PhD student from Queensland University of Technology (QUT), Jordan is no stranger to working in the space industry. During the final year of his undergraduate...

Channel Attention and Normal-Based Local Feature Aggregation Network (CNLNet): A Deep Learning Method for Predisaster Large-Scale Outdoor Lidar Semantic Segmentation

The Influence of Changing Features on the Accuracy of Deep Learning-Based Large-Scale Outdoor Lidar Semantic Segmentation

Large-Scale Building Footprint Extraction and Damage Level Classification: Deep Learning Approaches with Satellite Imagery and LiDAR Data

The Application of Artificial Intelligence for Satellite Enterprise Management

Artificial Intelligence in Space: An Analysis of Responsible AI Principles for the Space Domain