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Titlebook: Machine Learning and Data Mining in Aerospace Technology; Aboul Ella Hassanien,Ashraf Darwish,Hesham El-Aska Book 2020 Springer Nature Swi

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Tensor-Based Anomaly Detection for Satellite Telemetry Datas on the ground. Satellites also can view into space better than telescopes at earth’s surface. Development of such artificial satellites which composed of many subsystem, requires a lot of time and money that any deadly failure is unacceptable, the satellite operating in a remote environment, so it
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Formalization, Prediction and Recognition of Expert Evaluations of Telemetric Data of Artificial Satta often contain some symptoms that signal possible fatal system failures. However, the standard methods used cannot always detect these symptoms. The aim of this chapter is to propose formalization, prediction and recognition methods that will help experts to extract important information and not m
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Crop Yield Estimation Using Decision Trees and Random Forest Machine Learning Algorithms on Data froP) and provides employment to 50% of the countrys workforce. Estimation of Crop Yield during the cropping season plays an important role for planners and policymakers for decision making. It is one of the critical parts as it depends on different factors weather, soil and crop Management. Weather pl
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