Results 1 to 10 of about 1,783 (100)
Advances in deep space exploration via simulators & deep learning [PDF]
New Astronomy, 2021 The StarLight program conceptualizes fast interstellar travel via small wafer satellites (wafersats) that are propelled by directed energy. This process is wildly different from traditional space travel and trades large and slow spacecraft for small, fast, inexpensive, and fragile ones. The main goal of these wafer satellites is to gather useful images
Bird, James +3 more
openaire +4 more sources
Strategy of deep space exploration [PDF]
SCIENTIA SINICA Technologica, 2020 This paper elaborates on eleven hot scientific objectives and three scientific application problems in lunar, planetary, and solar exploration on the basis of a comprehensive overview on the development history, research status, and main trend of international deep space explorations, combined with the requirements of the long-term sustainable ...
JiZhong LIU +6 more
openaire +1 more source
Exploring Deep Registration Latent Spaces [PDF]
, 2021 Explainability of deep neural networks is one of the most challenging and interesting problems in the field. In this study, we investigate the topic focusing on the interpretability of deep learning-based registration methods. In particular, with the appropriate model architecture and using a simple linear projection, we decompose the encoding space ...
Estienne, Théo +10 more
openaire +3 more sources
Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 2016 6 pages, RecSys 2016 RSDL ...
Vuurens, J.B.P. +2 more
openaire +3 more sources
Science Progress, 2022 The rotating component is an important part of the modern mechanical equipment, and its health status has a great impact on whether the equipment can safely operate.
Yuqing Li +4 more
doaj +1 more source
Frontiers in Astronomy and Space Sciences, 2023 Dust electrostatic migration is one of the primary causes of dust events on the surface of airless celestial bodies, which can result in multiple dust phenomena, including lunar horizon glow and dust pools, and also offer crucial insights into the ...
Hong Gan +7 more
doaj +1 more source
BioSentinel: A Biological CubeSat for Deep Space Exploration [PDF]
Astrobiology, 2023 BioSentinel is the first biological CubeSat designed and developed for deep space. The main objectives of this NASA mission are to assess the effects of deep space radiation on biological systems and to engineer a CubeSat platform that can autonomously support and gather data from model organisms hundreds of thousands of kilometers from Earth.
Sofia, Massaro Tieze +3 more
openaire +2 more sources
Numerical Simulation of the Lunar Polar Environment: Implications for Rover Exploration Challenge
Aerospace, 2023 The lunar polar regions are key areas for future exploration due to the long-term continuous illumination and persistently shadowed regions that can cold trap abundant water and other volatiles.
Hong Gan +6 more
doaj +1 more source
Health care for deep space explorers [PDF]
Annals of the ICRP, 2020 [Formula: see text] There is a growing desire amongst space-faring nations to venture beyond the Van Allen radiation belts to a variety of intriguing locations in our inner solar system. Mars is the ultimate destination. In two decades, we hope to vicariously share in the adventure of an intrepid crew of international astronauts on the first voyage ...
openaire +2 more sources
IEEE Access, 2020 In recent years, Convolutional neural networks (CNNs) have achieved start-of-art performance in the fault diagnosis field. If there is no available information on the unseen operating conditions, the model trained on the seen operating condition cannot ...
Yuantao Yang +5 more
doaj +1 more source