Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Through Monte Carlo simulations and a break-even analysis, this study monetizes the rising costs of orbital debris and space preservation. This study estimates the costs of allowing space debris to persist and proliferate using existing data and projections from the literature. This study assigns values to NASA’s published space debris mitigation models to calculate the costs of space preservation. Estimating the costs of space debris has been hampered by a lack of information, owing primarily to commercial proprietary information. This study demonstrates how simple-realistic assumptions can transform sparse data into the foundation of a robust analysis. Furthermore, by conducting a break-even analysis of these costs based on defining quantitative variables in models, this study identifies the global cost savings and the likely timeline when the costs of space debris will equal the costs of space preservation. This study uses sensitivity analysis with alternative inputs to identify uncertainties in the costs of orbital debris and space preservation.
Martin K. Zhu. 2026. \u201cMethod of a Break-Even Analysis of Orbital Debris Mitigation and Remediation Costs\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 23 (GJRE Volume 23 Issue J2): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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Total Score: 131
Country: United States
Subject: Global Journal of Research in Engineering - J: General Engineering
Authors: Martin K. Zhu (PhD/Dr. count: 0)
View Count (all-time): 222
Total Views (Real + Logic): 1304
Total Downloads (simulated): 27
Publish Date: 2026 01, Fri
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Neural Networks and Rules-based Systems used to Find Rational and
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Through Monte Carlo simulations and a break-even analysis, this study monetizes the rising costs of orbital debris and space preservation. This study estimates the costs of allowing space debris to persist and proliferate using existing data and projections from the literature. This study assigns values to NASA’s published space debris mitigation models to calculate the costs of space preservation. Estimating the costs of space debris has been hampered by a lack of information, owing primarily to commercial proprietary information. This study demonstrates how simple-realistic assumptions can transform sparse data into the foundation of a robust analysis. Furthermore, by conducting a break-even analysis of these costs based on defining quantitative variables in models, this study identifies the global cost savings and the likely timeline when the costs of space debris will equal the costs of space preservation. This study uses sensitivity analysis with alternative inputs to identify uncertainties in the costs of orbital debris and space preservation.
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