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Ujwal Sharma, Uma Shankar Medasetti, Taher Deemyad, Mustafa Mashal and Vaibhav Yadav
This review paper addresses the escalating operation and maintenance costs of nuclear power plants, primarily attributed to rising labor costs and intensified competition from renewable energy sources. The paper proposes a paradigm shift towards a techno...
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Changhao Wu, Siyang He, Zengshan Yin and Chongbin Guo
Large-scale low Earth orbit (LEO) remote satellite constellations have become a brand new, massive source of space data. Federated learning (FL) is considered a promising distributed machine learning technology that can communicate optimally using these ...
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Eleonora Bernasconi, Miguel Ceriani, Davide Di Pierro, Stefano Ferilli and Domenico Redavid
In the era of big data, linked data interfaces play a critical role in enabling access to and management of large-scale, heterogeneous datasets. This survey investigates forty-seven interfaces developed by the semantic web community in the context of the...
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Pierstefano Bellani, Andrea Picardi, Federica Caruso, Flora Gaetani, Fausto Brevi, Venanzio Arquilla and Giandomenico Caruso
With the rapid advancement of autonomous vehicles, a transformative transportation paradigm is emerging in the automotive industry, necessitating a re-evaluation of how users engage with and utilize these evolving settings. This research paper introduces...
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Yiming Sun and Tatsuo Nakajima
Technology anxiety contributes to an increased cognitive load and reduces user adoption of novel technologies. An illustrative example of this phenomenon is observed in the field of smart homes.To address this issue, we have identified an interaction par...
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Yunjing Huang, Shuyun Luo and Weiqiang Xu
As a promising paradigm, the Industrial Internet of Things (IIoT) provides a wide range of intelligent services through the interconnection and interaction of heterogeneous networks. The quality of these services depends on how the bandwidth is shared am...
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Naomi Y. Mbelekani and Klaus Bengler
Learnability in Automated Driving (LiAD) is a neglected research topic, especially when considering the unpredictable and intricate ways humans learn to interact and use automated driving systems (ADS) over the sequence of time. Moreover, there is a scar...
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Gang Wang, Gang Ren, Xinye Hong, Xun Peng, Wenbin Li and Eamonn O?Neill
Augmented reality (AR) technologies can blend digital and physical space and serve a variety of applications intuitively and effectively. Specifically, wearable AR enabled by optical see-through (OST) AR head-mounted displays (HMDs) might provide users w...
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Andrea Sanna, Federico Manuri, Jacopo Fiorenza and Francesco De Pace
Human?robot collaboration (HRC) is a new and challenging discipline that plays a key role in Industry 4.0. Digital transformation of industrial plants aims to introduce flexible production lines able to adapt to different products quickly. In this scenar...
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Lijun Wei, Yuhan Yang, Jing Wu, Chengnian Long and Yi-Bing Lin
As an emerging paradigm of service infrastructure, social internet of things (SIoT) applies the social networking aspects to the internet of things (IoT). Each object in SIoT can establish the social relationship without human intervention, which will en...
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