Statistics and machine learning in aviation environmental impact analysis: A survey of recent progress

Z Gao, DN Mavris - Aerospace, 2022 - mdpi.com
The rapid growth of global aviation operations has made its negative environmental impact
an international concern. Accurate modeling of aircraft fuel burn, emissions, and noise is the …

Multi-level aircraft feature representation and selection for aviation environmental impact analysis

Z Gao, SI Kampezidou, A Behere, TG Puranik… - … Research Part C …, 2022 - Elsevier
A wholesome understanding of aviation's environmental impacts is indispensable to the
realization of a sustainable future of aviation. An accurate assessment of aircraft features …

Develo** virtual acoustic terrain for Urban Air Mobility trajectory planning

Z Gao, A Porcayo, JP Clarke - … Research Part D: Transport and Environment, 2023 - Elsevier
Abstract Urban Air Mobility (UAM) is a transformative concept that must operate
harmoniously within the constraints imposed by societal impacts. Noise-aware flight …

Revealing the compound interrelationships toward sustainable transition in semiconductor supply chain: A sensitivity analysis

H Qiu, SW Tseng, X Zhang, C Huang, KJ Wu - International Journal of …, 2024 - Elsevier
This study provides specific guidelines for allocating resources by determining the positive
and negative interrelationships as well as the sensitive criteria and factors of the …

Improved Aircraft Environmental Impact Segmentation via Metric Learning

Z Gao, A Behere, DN Mavris - Journal of Air Transportation, 2025 - arc.aiaa.org
Accurate modeling of aircraft environmental impact is pivotal to the design of operational
procedures and policies to mitigate negative aviation environmental impact. Aircraft …

Noise-Aware and Equitable Urban Air Traffic Management: An Optimization Approach

Z Gao, Y Yu, Q Wei, U Topcu, JP Clarke - ar** 3D Virtual Safety Risk Terrain for UAS Operations in Complex Urban Environments
Z Gao, JP Clarke, J Mardanov, K Marais - arxiv preprint arxiv:2310.12349, 2023 - arxiv.org
Unmanned Aerial Systems (UAS), an integral part of the Advanced Air Mobility (AAM) vision,
are capable of performing a wide spectrum of tasks in urban environments. The societal …

Aircraft Environmental Impact Segmentation via Metric Learning

Z Gao, DN Mavris - arxiv preprint arxiv:2306.13830, 2023 - arxiv.org
Metric learning is the process of learning a tailored distance metric for a particular task. This
advanced subfield of machine learning is useful to any machine learning or data mining task …