Bhargavi Adusumilli
Indian Institute of Technology, Kharagpur (IIT Kharagpur)
In-flight turbulence poses a significant challenge to aviation safety and passenger comfort. Accurate quantification of turbulence data is crucial for predicting turbulence events and ensuring a smooth flight experience. This project aims to employ advanced time series analysis methods to quantify in-flight turbulence data, enhancing our understanding of turbulence patterns and improving aviation safety protocols. The problem statement revolves around the need for precise turbulence quantification methods to enhance aviation safety. The primary research question is: How can time series analysis methods effectively quantify in-flight turbulence data, leading to accurate predictions and improved safety measures?
Master Thesis Project - Autumn Semester 2023-24 (4) |
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Indian Institute of Technology, Kharagpur (IIT Kharagpur)
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The EUREC4A turbulence dataset derived from... |
Early Detection of Atmospheric Turbulence... |
MACHINE LEARNING ENABLED TURBULENCE... |
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