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Manos Garefalakis, Zacharias Kamarianakis and Spyros Panagiotakis
As it concerns remote laboratories (RLs) for teaching microcontroller programming, the related literature reveals several common characteristics and a common architecture. Our search of the literature was constrained to papers published in the period of ...
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Feiyang Ye, Liang Huang, Senjie Liang and KaiKai Chi
Named entity recognition (NER) in a few-shot setting is an extremely challenging task, and most existing methods fail to account for the gap between NER tasks and pre-trained language models. Although prompt learning has been successfully applied in few-...
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Muzi Cui, Hao Jiang and Chaozhuo Li
Image inpainting aims to synthesize missing regions in images that are coherent with the existing visual content. Generative adversarial networks have made significant strides in the development of image inpainting. However, existing approaches heavily r...
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Huagang Li and Bo Liu
Web texts typically undergo the open-ended growth of new relations. Traditional relation extraction methods lack automatic annotation and perform poorly on new relation extraction tasks. We propose an open-domain relation extraction system (ORES) based o...
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Marten Franke, Vaishnavi Gopinath, Danijela Ristic-Durrant and Kai Michels
This paper presents a novel method for generation of synthetic images of obstacles on and near rail tracks over long-range distances. The main goal is to augment the dataset for autonomous obstacle detection (OD) in railways, by inclusion of synthetic im...
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Flavia Grignaffini, Francesco Barbuto, Lorenzo Piazzo, Maurizio Troiano, Patrizio Simeoni, Fabio Mangini, Giovanni Pellacani, Carmen Cantisani and Fabrizio Frezza
Skin cancer (SC) is one of the most prevalent cancers worldwide. Clinical evaluation of skin lesions is necessary to assess the characteristics of the disease; however, it is limited by long timelines and variety in interpretation. As early and accurate ...
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Stylianos Mystakidis, Eleni Berki and Juri-Petri Valtanen
Deep and meaningful learning (DML) in distant education should be an essential outcome of quality education. In this literature review, we focus on e-learning effectiveness along with the factors and conditions leading to DML when using social virtual re...
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Moulay A. Akhloufi, Sebastien Arola and Alexandre Bonnet
Unmanned aerial vehicles (UAVs) are very popular and increasingly used in different applications. Today, the use of multiple UAVs and UAV swarms are attracting more interest from the research community, leading to the exploration of topics such as UAV co...
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Marta Masdéu, Josep Fuses
Pág. 6 - 23
Nowadays, the professional practice is undergoing changes that are affecting the work of architects. Architectural studios and engineering consultancies are reinventing themselves to adapt to social, technological and productive needs. However, despite t...
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Dennis Rittle,Linda Diehl
Pág. 149 - 155
The educational community is seizing the opportunity to link interdependent members from distant locations. Universities, colleges, and other adult education media are supplementing traditional classroom settings with virtual classrooms thereby broadenin...
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