Deep learning for the industrial internet of things (iiot): A comprehensive survey of techniques, implementation frameworks, potential applications, and future directions

S Latif, M Driss, W Boulila, ZE Huma, SS Jamal… - Sensors, 2021 - mdpi.com
The Industrial Internet of Things (IIoT) refers to the use of smart sensors, actuators, fast
communication protocols, and efficient cybersecurity mechanisms to improve industrial …

Tackling uncertainties in aircraft maintenance routing: A review of emerging technologies

HL Ma, Y Sun, SH Chung, HK Chan - Transportation Research Part E …, 2022 - Elsevier
Aircraft maintenance routing (AMR) is crucial for both passenger airlines and cargo airlines
to maintain flight operations efficiency, meanwhile it ensures that aircraft fulfill the civil …

A CNN-LSTM framework for flight delay prediction

Q Li, X Guan, J Liu - Expert Systems with Applications, 2023 - Elsevier
Flight delay prediction has become one of the most critical topics in intelligent aviation
systems due to its essential role in flight scheduling, airline planning, and airport operation …

A data-driven approach to improve customer churn prediction based on telecom customer segmentation

T Zhang, S Moro, RF Ramos - Future Internet, 2022 - mdpi.com
Numerous valuable clients can be lost to competitors in the telecommunication industry,
leading to profit loss. Thus, understanding the reasons for client churn is vital for …

A novel parallel series data-driven model for IATA-coded flight delays prediction and features analysis

WA Khan, SH Chung, AEE Eltoukhy… - Journal of Air Transport …, 2024 - Elsevier
Predicting and analysing flight delays is essential for successful air traffic management and
control. We propose a novel parallel-series model and novel adaptive bidirectional extreme …

Day-ahead aircraft routing with data-driven primary delay predictions

S Birolini, A Jacquillat - European Journal of Operational Research, 2023 - Elsevier
Flight delays are major sources of disruptions in airline operations. To mitigate them, day-
ahead aircraft routing aims to create flight sequences that can absorb delays and minimize …

Social ski driver conditional autoregressive-based deep learning classifier for flight delay prediction

DB Bisandu, I Moulitsas, S Filippone - Neural Computing and Applications, 2022 - Springer
The importance of robust flight delay prediction has recently increased in the air
transportation industry. This industry seeks alternative methods and technologies for more …

Deep learning in air traffic management (ATM): a survey on applications, opportunities, and open challenges

EC Pinto Neto, DM Baum, JR Almeida Jr… - Aerospace, 2023 - mdpi.com
Currently, the increasing number of daily flights emphasizes the importance of air
transportation. Furthermore, Air Traffic Management (ATM) enables air carriers to operate …

Prediction of flight departure delays caused by weather conditions adopting data-driven approaches

S Kim, E Park - Journal of Big Data, 2024 - Springer
In this study, we utilize data-driven approaches to predict flight departure delays. The
growing demand for air travel is outpacing the capacity and infrastructure available to …

Game-theoretic analysis of the impact of crew overnight hotel cost on airlines' fleet assignment and crew pairing

C Ding, X Chen, W Wu, W Wei, Z Xin - Journal of Air Transport …, 2023 - Elsevier
Crew costs account for a high proportion of the total operational costs of an airline. The cost
of overnight stay for the crew at a hotel is an important additional cost. To address this …