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Ismail Shahin, Ali Bou Nassif, Rameena Thomas and Shibani Hamsa
Modern developments in machine learning methodology have produced effective approaches to speech emotion recognition. The field of data mining is widely employed in numerous situations where it is possible to predict future outcomes by using the input se...
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Fengxu Guan, Siqi Lu, Haitao Lai and Xue Du
Underwater optical imaging devices are often affected by the complex underwater environment and the characteristics of the water column, which leads to serious degradation and distortion of the images they capture. Deep learning-based underwater image en...
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Pavlos Nikolaidis
Renewable energy sources are constantly increasing in the modern power systems. Due to their intermittent and uncertain potential, increased spinning reserve requirements are needed to conserve the reliability. On the other hand, each action towards effi...
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Vasilios Patsias, Petros Amanatidis, Dimitris Karampatzakis, Thomas Lagkas, Kalliopi Michalakopoulou and Alexandros Nikitas
Task allocation in edge computing refers to the process of distributing tasks among the various nodes in an edge computing network. The main challenges in task allocation include determining the optimal location for each task based on the requirements su...
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Yirong Pan, Xiao Li, Yating Yang and Rui Dong
Benefitting from the rapid development of artificial intelligence (AI) and deep learning, the machine translation task based on neural networks has achieved impressive performance in many high-resource language pairs. However, the neural machine translat...
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Ke Tian,Mamoru Endo,Mayu Urata,Katsuhiro Mouri,Takami Yasuda
Pág. pp. 11 - 18
Understanding solar movement (e.g., solar diurnal motion) is difficult for those are beginning to learn about astronomy. Previous research has revealed that observation-based learning can help make astronomical phenomena clearer to understand for such le...
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Noriko Uosaki,Hiroaki Ogata,Mengmeng Li,Bin Hou,Kousuke Mouri
Pág. pp. 44 - 53
This paper describes implementation guidelines for ubiquitous seamless mobile learning featuring the learning-log system named SCROLL (System for Capturing and Reminding of Learning Log). This system helps users to share and remind ubiquitous learning ex...
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