Aircraft flight regime recognition with deep temporal segmentation neural network

J Wu, C Hu, C Sun, X Chen, R Yan - Engineering Applications of Artificial …, 2023 - Elsevier
Timely and effective flight regime recognition is one of the key tasks for structural usage
monitoring, it can provide early warning to the dangerous regime. However, existing …

Classification of manifold learning based flight fingerprints of UAVs in air traffic

Ü Çelik, H Eren - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
As the number of UAVs (Unmanned Aerial Vehicles) and the market size have been
expanding rapidly in recent years, projects such as NextGen and SESAR aim to include …

Intelligent temporal detection network for boundary-sensitive flight regime recognition

C Hu, J Wu, C Sun, X Chen, R Yan - Engineering Applications of Artificial …, 2023 - Elsevier
Flight regime recognition is critical in guaranteeing flight safety, making informed
maintenance decisions for key components, and evaluating flight quality. However, previous …

Time-dependent effect of advanced driver assistance systems on driver behavior based on connected vehicle data

Y Chen, Y **e, C Wang, L Yang, N Zheng… - Analytic Methods in …, 2025 - Elsevier
This paper proposes a novel functional data analysis approach to investigate the time-
dependent effect of advanced driver assistance systems (ADAS), specifically forward …

Data engineering for predictive machine learning of stormwater infrastructure conditions

N Roberts, M Smith, J Qi - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Culverts are stormwater structures that require ongoing condition assessment and proactive
maintenance for optimal performance to reduce flooding, especially in urban areas …

Enhancing Flight Condition Recognition Performance through Functional Similarity

J Leoni, E Villa, G Cazzulani, A Baldi… - … on Aerospace and …, 2024 - ieeexplore.ieee.org
Flight Condition Recognition (FCR) is pivotal for aviation safety, enabling the recognition of
the real usage spectrum and thus adapting and optimizing the maintenance schedule …

Data-Driven Model to Predict Aircraft Vibration Environment

S Février, S Nachar, L Mathelin, F Giordano, B Podvin - AIAA Journal, 2023 - arc.aiaa.org
Vibration levels that onboard equipment must be able to withstand throughout their lives for
correct operation are mainly determined experimentally because predicting the dynamic …

A critical review of energy consumption and optimization strategies in the Nigerian aviation sector: challenges and prospects

OF Orikpete, NM Gungura, E Ehimare… - Bulletin of the National …, 2023 - Springer
Background The global aviation industry plays a crucial role in socioeconomic
advancement. However, its notable energy consumption has garnered attention due to the …

Summarization of Flight Data for Maintenance

AM Spexet, N Breen - AIAA AVIATION FORUM AND ASCEND 2024, 2024 - arc.aiaa.org
Data summarization is a process to reduce and segment data. The summarization itself can
be the end product, or a step towards subsequent calculations on more refined, relevant, or …

Data-Driven Analytics Tools to Support Prioritized Management of Stormwater Infrastructure

N Barclay, M Smith, J Qi - 2023 - repository.lib.ncsu.edu
Maintenance of aging underground infrastructure compounded with urbanization
encroachment and economic pressures have caused a number of challenges for municipal …