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Crater detection via genetic search methods to reduce image features
A machine learning approach to crater detection from topographic data
Trajectory classification in circular restricted three-body problem using support vector machine
A random forest algorithm for nowcasting of intense precipitation events
Automated detection of new impact sites on Martian surface from HiRISE images
Sunspot cycle prediction using Warped Gaussian process regression
GIS-based ensemble soft computing models for landslide susceptibility mapping
A tropical Atlantic dynamics analysis by combining machine learning and satellite data
A gravity assist mapping for the circular restricted three-body problem using Gaussian processes
Does Machine Learning reconstruct missing sunspots and forecast a new solar minimum?
Scaling uncertainties on asteroid characteristics to prepare datasets for machine learning
Machine learning regression models for prediction of multiple ionospheric parameters
Using satellite images of nighttime lights to predict the economic impact of COVID-19 in India
Galactic component mapping of galaxy UGC 2885 by machine learning classification
Forecasting total electron content (TEC) using CEEMDAN LSTM model
Intelligent selection of NEO deflection strategies under uncertainty
Deep learning-based framework for monitoring of debris-covered glacier from remotely sensed images
Intelligent decision support for collision avoidance manoeuvre planning under uncertainty
Multi-objective optimization of low-thrust propulsion systems for multi-target missions using ANNs
Systematic TLE data improvement by neural network for most cataloged resident space objects
Modelling inland Arctic bathymetry from space using cloud-based machine learning and Sentinel-2
Composition and source based aerosol classification using machine learning algorithms
Estimation of grassland height using optical and SAR remote sensing data