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Wenqi Gao, Ninghua Chen, Jianyu Chen, Bowen Gao, Yaochen Xu, Xuhua Weng and Xinhao Jiang
Geospatial data, especially remote sensing (RS) data, are of significant importance for public services and production activities. Expertise is critical in processing raw data, generating geospatial information, and acquiring domain knowledge and other r...
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Bohdan Petryshyn, Serhii Postupaiev, Soufiane Ben Bari and Armantas Ostreika
The development of autonomous driving models through reinforcement learning has gained significant traction. However, developing obstacle avoidance systems remains a challenge. Specifically, optimising path completion times while navigating obstacles is ...
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Anderson Carvalho, Daniel Riordan and Joseph Walsh
This study presents a newly developed edge computing platform designed to enhance connectivity between edge devices and the cloud in the agricultural sector. Addressing the challenge of synchronizing a central database across 850 remote farm locations in...
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Irina Kochetkova, Kseniia Leonteva, Ibram Ghebrial, Anastasiya Vlaskina, Sofia Burtseva, Anna Kushchazli and Konstantin Samouylov
Fifth-generation (5G) networks provide network slicing capabilities, enabling the deployment of multiple logically isolated network slices on a single infrastructure platform to meet specific requirements of users. This paper focuses on modeling and anal...
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Edwin Peralta-Garcia, Juan Quevedo-Monsalbe, Victor Tuesta-Monteza and Juan Arcila-Diaz
Structured Query Language (SQL) injections pose a constant threat to web services, highlighting the need for efficient detection to address this vulnerability. This study compares machine learning algorithms for detecting SQL injections in web microservi...
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J. Javier Samper-Zapater, Julián Gutiérrez-Moret, Jose Macario Rocha, Juan José Martinez-Durá and Vicente R. Tomás
The significance of Linked Open Data datasets for traffic information extends beyond just including open traffic data. It incorporates links to other relevant thematic datasets available on the web. This enables federated queries across different data pl...
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Miguel-Ángel Fas-Millán, Andreas Pick, Daniel González del Río, Alejandro Paniagua Tineo and Rubén García García
Within the framework of the European Union?s Horizon 2020 research and innovation program, one of the main goals of the Labyrinth project was to develop and test the Conflict Management services of a U-space-based Unmanned Traffic Management (UTM) system...
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Norbert Lichtenauer, Lukas Schmidbauer, Sebastian Wilhelm and Florian Wahl
Background: Using personal data as Open Data is a pervasive topic globally, spanning various sectors and disciplines. Recent technological advancements, particularly in artificial intelligence and algorithm-driven analysis, have significantly expanded th...
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Alvina Ekua Ntefua Saah, Jurng-Jae Yee and Jae-Ho Choi
The construction industry, characterized by its intricate network of stakeholders and diverse workforce, grapples with the challenge of managing information effectively. This study delves into this issue, recognizing the universal importance of safeguard...
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Kwangseob Kim and Kiwon Lee
This study introduces a multi-cloud model that combines private and public cloud services for processing and managing satellite images. The multi-cloud service is established by incorporating private clouds within organizations and integrating them with ...
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