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Abderrazzaq Kharroubi, Zouhair Ballouch, Rafika Hajji, Anass Yarroudh and Roland Billen
Railway scene understanding is crucial for various applications, including autonomous trains, digital twining, and infrastructure change monitoring. However, the development of the latter is constrained by the lack of annotated datasets and limitations o...
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Rongke Wei, Haodong Pei, Dongjie Wu, Changwen Zeng, Xin Ai and Huixian Duan
The task of 3D reconstruction of urban targets holds pivotal importance for various applications, including autonomous driving, digital twin technology, and urban planning and development. The intricate nature of urban landscapes presents substantial cha...
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Emanuele Laurenzi
Pág. I - II
Innovation contributes to the economic and societal growth of nations, it creates new jobs, new business models, and new revenue streams as well as allows for the resolution of ever-evolving human needs. Enterprises that aim to thrive in the market must ...
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Marian Bucos and Bogdan Dragulescu
Misinformation poses a significant challenge in the digital age, requiring robust methods to detect fake news. This study investigates the effectiveness of using Back Translation (BT) augmentation, specifically transformer-based models, to improve fake n...
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Yuhai Yang, Xiaodong Liu and Wei Lu
This study is concerned with the imperfect virtual-reality mapping relationship in cyber?physical systems (CPSs) and the challenge faced in knowledge-based decisions. Regarding those problems, a double-layer mapping Petri net (DMPN) model is proposed. By...
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