Titlebook: Advances in Machine Learning/Deep Learning-based Technologies; Selected Papers in H George A. Tsihrintzis,Maria Virvou,Lakhmi C. Jain Book

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Advances in Machine Learning/Deep Learning-based Technologies978-3-030-76794-5Series ISSN 2662-3447 Series E-ISSN 2662-3455

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Energy Efficiency Projects that Move Slowly, on one hand, AI/ML researchers can generate large, in-the-wild datasets of human affective activity, player behaviour (i.e. actions within the game world), commercial behaviour, interaction with graphical user interface elements or messaging with other players, while games can utilise intelligent a

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A Representative Energy Efficiency Project,r equipment damages. Such a task becomes even harder for universities offering distance education, as their students visit less often their lab facilities and may have limited opportunities to become familiar with the respective instruments and equipment. For this purpose, the Hellenic Open Universi

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https://doi.org/10.1007/978-1-4471-4516-5from educational data and enhancing the quality of learning. Predicting student learning outcomes is one of the most significant problems facing these fields. Addressing effectively a predictive problem comprises the training of a supervised learning algorithm on a given set of labeled data. The dif

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A Representative Energy Efficiency Project,hnologies that can detect hidden nuclear material before its use. The process of detecting and identifying nuclear materials for non-reported purposes is under the umbrella of nuclear security. Among several areas that contribute to the security and safeguards of nuclear materials, radiation data an