Explainable AI for operational research: A defining framework, methods, applications, and a research agenda

KW De Bock, K Coussement, A De Caigny… - European Journal of …, 2023 - Elsevier
The ability to understand and explain the outcomes of data analysis methods, with regard to
aiding decision-making, has become a critical requirement for many applications. For …

A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory

A Degas, MR Islam, C Hurter, S Barua, H Rahman… - Applied Sciences, 2022 - mdpi.com
Air Traffic Management (ATM) will be more complex in the coming decades due to the
growth and increased complexity of aviation and has to be improved in order to maintain …

Root cause analysis for microservice systems via hierarchical reinforcement learning from human feedback

L Wang, C Zhang, R Ding, Y Xu, Q Chen… - Proceedings of the 29th …, 2023 - dl.acm.org
In microservice systems, the identification of root causes of anomalies is imperative for
service reliability and business impact. This process is typically divided into two phases:(i) …

The impact of the COVID-19 pandemic on the global web and video conferencing SaaS market

C Tudor - Electronics, 2022 - mdpi.com
The COVID-19 pandemic related government interventions produced rapid decreases in
worldwide economic and social activity, with multifaceted economic and social …

Detecting the hidden asymmetric relationship between crude oil and the US dollar: A novel neural Granger causality method

L Wang, H Ruan, Y Hong, K Luo - Research in International Business and …, 2023 - Elsevier
The relationship between financial series is not always easy to detect due to their underlying
asymmetry and nonlinearity. Both characteristics are not usually considered simultaneously …

[HTML][HTML] Benchmarking the recovery of air travel demands for US airports during the COVID-19 Pandemic

Y Gao - Transportation Research Interdisciplinary Perspectives, 2022 - Elsevier
The aviation industry has gone through numerous ups and downs in the past decades.
Despite the devastating damage caused by the COVID-19 Pandemic, the aviation industry …

TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems

R Ding, C Zhang, L Wang, Y Xu, M Ma, X Wu… - Proceedings of the 31st …, 2023 - dl.acm.org
Root Cause Analysis (RCA) is becoming increasingly crucial for ensuring the reliability of
microservice systems. However, performing RCA on modern microservice systems can be …

Copula ARMA-GARCH modelling of spatially and temporally correlated time series data for transportation planning use

S Shahriari, SA Sisson, T Rashidi - Transportation Research Part C …, 2023 - Elsevier
Time series analysis has been used extensively in transport research in various areas, such
as traffic management and transport planning. Time-series data may contain temporal and …

Airport terminal passenger forecast under the impact of COVID-19 outbreaks: A case study from China

H Tang, J Yu, B Lin, Y Geng, Z Wang, X Chen… - Journal of Building …, 2023 - Elsevier
Passengers significantly affect airport terminal energy consumption and indoor
environmental quality. Accurate passenger forecasting provides important insights for airport …

Forecast of Aviation Traffic in Indonesia Based on Google Trend and Macroeconomic Data using Long Short-Term Memory

MK Khafidli, A Choiruddin - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
The COVID-19 pandemic has impacted many sectors. For example, in the aviation sector,
flight traffic went down drastically with no certainty of being recovered. This calls for a …