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Muhamed Abdulhadi Obied, Fayed F. M. Ghaleb, Aboul Ella Hassanien, Ahmed M. H. Abdelfattah and Wael Zakaria
Satellite telemetry data plays an ever-important role in both the safety and the reliability of a satellite. These two factors are extremely significant in the field of space systems and space missions. Since it is challenging to repair space systems in ...
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Linfeng Li, Weidong Liu, Le Li, Huifeng Jiao, Junqi Qu and Gongwu Sun
In order to solve the problem that the cesium optical pump magnetometer is disturbed by the carrier?s interference magnetic field during magnetic field anomaly detection, an interference magnetic field compensation method based on an improved mayfly opti...
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Suhwan Lee, Marco Comuzzi and Nahyun Kwon
The development of models for process outcome prediction using event logs has evolved in the literature with a clear focus on performance improvement. In this paper, we take a different perspective, focusing on obtaining interpretable predictive models f...
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Diogo Ribeiro, Luís Miguel Matos, Guilherme Moreira, André Pilastri and Paulo Cortez
Within the context of Industry 4.0, quality assessment procedures using data-driven techniques are becoming more critical due to the generation of massive amounts of production data. In this paper, we address the detection of abnormal screw tightening pr...
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Fernando H. O. Abreu, Amilcar Soares, Fernando V. Paulovich and Stan Matwin
With the recent increase in the use of sea transportation, the importance of maritime surveillance for detecting unusual vessel behavior related to several illegal activities has also risen. Unfortunately, the data collected by surveillance systems are o...
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Luca Frau, Gian Antonio Susto, Tommaso Barbariol and Enrico Feltresi
In oil and gas production, it is essential to monitor some performance indicators that are related to the composition of the extracted mixture, such as the liquid and gas content of the flow. These indicators cannot be directly measured and must be infer...
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Alexander Scheinker
Machine learning (ML) is growing in popularity for various particle accelerator applications including anomaly detection such as faulty beam position monitor or RF fault identification, for non-invasive diagnostics, and for creating surrogate models. ML ...
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Yibing Xie, Nichakorn Pongsakornsathien, Alessandro Gardi and Roberto Sabatini
Advances in the trusted autonomy of air-traffic management (ATM) systems are currently being pursued to cope with the predicted growth in air-traffic densities in all classes of airspace. Highly automated ATM systems relying on artificial intelligence (A...
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Salvatore Carta, Alessandro Sebastian Podda, Diego Reforgiato Recupero and Roberto Saia
The dramatic increase in devices and services that has characterized modern societies in recent decades, boosted by the exponential growth of ever faster network connections and the predominant use of wireless connection technologies, has materialized a ...
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William Hurst, Aaron Boddy, Madjid Merabti and Nathan Shone
Hospital critical infrastructures have a distinct threat vector, due to (i) a dependence on legacy software; (ii) the vast levels of interconnected medical devices; (iii) the use of multiple bespoke software and that (iv) electronic devices (e.g., laptop...
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