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Stardust Final Conference

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Cover of 'Stardust Final Conference'

Table of Contents

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    Book Overview
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    Chapter 1 Optimization of Asteroid Capture Missions Using Earth Resonant Encounters
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    Chapter 2 Evaluating Proximity Operations Through High-Fidelity Asteroid Deflection Evaluation Software (Hades)
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    Chapter 3 Prediction of Orbital Parameters for Undiscovered Potentially Hazardous Asteroids Using Machine Learning
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    Chapter 4 Exploring Sensitivity of Orbital Dynamics with Respect to Model Truncation: The Frozen Orbits Approach
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    Chapter 5 A Parametric Study of the Orbital Lifetime of Super GTO and SSTO Orbits Based on Semi-analytical Integration
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    Chapter 6 On the Use of Positive Polynomials for the Estimation of Upper and Lower Expectations in Orbital Dynamics
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    Chapter 7 Trajectory Generation Method for Robotic Free-Floating Capture of a Non-cooperative, Tumbling Target
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    Chapter 8 Taxonomy of LEO Space Debris Population for ADR Capture Methods Selection
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    Chapter 9 Remote Sensing for Planar Electrostatic Characterization Using the Multi-Sphere Method
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    Chapter 10 Active Debris Removal and Space Debris Mitigation using Hybrid Propulsion Solutions
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    Chapter 11 The Puzzling Case of the Deep-Space Debris WT1190F: A Test Bed for Advanced SSA Techniques
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    Chapter 12 Development of a Debris Index
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    Chapter 13 A Multi-disciplinary Approach of Demisable Tanks’ Re-entry
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    Chapter 14 Design-for-Demise Analysis using the SAM Destructive Re-Entry Model
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    Chapter 15 Low-Fidelity Modelling for Aerodynamic Characteristics of Re-Entry Objects
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    Chapter 16 Re-entry Predictions of Potentially Dangerous Uncontrolled Satellites: Challenges and Civil Protection Applications
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    Chapter 17 Uncertainty Quantification for Destructive Re-Entry Risk Analysis: JAXA Perspective
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    Chapter 18 HDMR-Based Sensitivity Analysis and Uncertainty Quantification of GOCE Aerodynamics Using DSMC
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Title
Stardust Final Conference
Published by
Springer International Publishing, February 2018
DOI 10.1007/978-3-319-69956-1
ISBNs
978-3-31-969955-4, 978-3-31-969956-1
Editors

Vasile, Massimiliano, Minisci, Edmondo, Summerer, Leopold, McGinty, Peter

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Student > Bachelor 2 29%
Student > Doctoral Student 1 14%
Student > Master 1 14%
Professor 1 14%
Other 0 0%
Readers by discipline Count As %
Engineering 3 43%
Physics and Astronomy 3 43%
Earth and Planetary Sciences 1 14%