IEEE

Computational Guidance Using Model Predictive Static Programming for Challenging Space Missions: An Introductory Tutorial with Example Scenarios

Abstract: Several essential services, such as cellular phones, the Internet, television, navigation, weather prediction, and remote sensing, rely on satellites in low-Earth orbits, the technology for ...
IEEE

Tutorial: Choosing what to model — Conceptual modeling for simulation

Abstract: Conceptual modeling is the abstraction of a simulation model from the real world system that is being modeled; in other words, choosing what to model, and what not to model. This is ...
Queen Mary University of London

School of Electronic Engineering and Computer Science

Find out more about undergraduate study at the School of Electronic Engineering and Computer Science.
GitHub

WGAST: Weakly-Supervised Generative Network for Daily 10 m Land Surface Temperature Estimation via Spatio-Temporal Fusion

WGAST (Weakly-Supervised Generative Network for Daily 10 m Land Surface Temperature Estimation via Spatio-Temporal Fusion) is a novel deep learning framework for spatio-temporal fusion of satellite ...
University of Guelph

Department of Physics

The Department of Physics at the University of Guelph is a dynamic and research-intensive academic unit within the College of Computational, Mathematical, and Physical Sciences. It offers a ...
GitHub

U-Net: Semantic segmentation with PyTorch

Customized implementation of the U-Net in PyTorch for Kaggle's Carvana Image Masking Challenge from high definition images. This model was trained from scratch with 5k images and scored a Dice ...