A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects

AE Ezugwu, AM Ikotun, OO Oyelade… - … Applications of Artificial …, 2022 - Elsevier
Clustering is an essential tool in data mining research and applications. It is the subject of
active research in many fields of study, such as computer science, data science, statistics …

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 …

A novel digital twin approach based on deep multimodal information fusion for aero-engine fault diagnosis

Y Huang, J Tao, G Sun, T Wu, L Yu, X Zhao - Energy, 2023 - Elsevier
Condition monitoring and fault diagnosis play an important role in the safety and reliability of
aero-engine. Digital twin (DT) technology, which can realize the fusion of physical space …

An application of dbscan clustering for flight anomaly detection during the approach phase

K Sheridan, TG Puranik, E Mangortey… - AIAA Scitech 2020 …, 2020 - arc.aiaa.org
Safety is of paramount importance in aviation due to the catastrophic consequences of
accidents. Consequently, efforts have been made over the years to research and improve …

Graph structure embedded with physical constraints-based information fusion network for interpretable fault diagnosis of aero-engine

Y Huang, J Tao, J Zhao, G Sun, K Yin, J Zhai - Energy, 2023 - Elsevier
Fault diagnosis is essential for ensuring the safety and reliability of aero-engines. Current
performance-based fault diagnosis methods typically establish a mapping between …

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 …

Natural language processing based method for clustering and analysis of aviation safety narratives

RL Rose, TG Puranik, DN Mavris - Aerospace, 2020 - mdpi.com
The complexity of commercial aviation operations has grown substantially in recent years,
together with a diversification of techniques for collecting and analyzing flight data. As a …

Recognition of mineralization-related anomaly patterns through an autoencoder neural network for mineral exploration targeting

SAAS Mirzabozorg, M Abedi - Applied Geochemistry, 2023 - Elsevier
In mineral potential mapping, supervised machine learning algorithms have shown great
promise in delineating and prioritizing potential areas. However, since mineralization being …

Critical parameter identification for safety events in commercial aviation using machine learning

HK Lee, S Madar, S Sairam, TG Puranik, AP Payan… - Aerospace, 2020 - mdpi.com
In recent years, there has been a rapid growth in the application of data science techniques
that leverage aviation data collected from commercial airline operations to improve safety …

A survey on the suitability of risk identification techniques in the current networked environment

H Aboutorab, OK Hussain, M Saberi, FK Hussain… - Journal of Network and …, 2021 - Elsevier
Risk management is a necessary consideration in any decision-making activity. In global
supply chains that are increasingly becoming internetworked and data-centric, risk …