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Titlebook: Artificial Intelligence Applications and Innovations; 16th IFIP WG 12.5 In Ilias Maglogiannis,Lazaros Iliadis,Elias Pimenidis Conference pr

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Conference proceedings 2020nalysis - recommender systems.. .Part II: AI ethics - law; AI constraints; deep learning - LSTM; fuzzy algebra - fuzzy systems; machine learning; medical - health systems; and natural language..*The conference was held virtually due to the COVID-19 pandemic..
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The Ethos of Artificial Intelligence as a Legal Personality in a Globalized Space: Examining the Oveng the conventional standards of law and justice in a globalized world. Recent developments show a precedential growth in the need-perspective of the AI industry, thereby influencing governance and corporate operations and their legal side in cross-cultural avenues. The determinant outlining of arti
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An Introduction of FD-Complete Constraintsmembership constraint or a table constraint). In the past, it stood out, that specialist constraint solvers (like simplex solver or SAT solver) outperform general constraint solvers, for the problems they can handle. The disadvantage of such specialist constraint solvers is that they can handle only
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Deepbots: A Webots-Based Deep Reinforcement Learning Framework for Roboticsators contributes to the acceleration of research on DRL for robotics. However, it is still not straightforward to employ such simulators in the typical DRL pipeline, since their steep learning curve and the enormous amount of development required to interface with DRL methods significantly restrict
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Introducing an Edge-Native Deep Learning Platform for Exergamesighly accurate general purpose pre-trained models, create new opportunities for the interaction of humans with systems and facilitate the development of advanced features for all types of platforms and applications. Research, consumer and industrial applications increasingly integrate deep learning
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Investigating the Problem of Cryptocurrency Price Prediction: A Deep Learning Approachn assist cryptocurrency investors towards right investing decisions and lead to potential increased profits. Additionally, they can also support policy makers and financial researchers in studying cryptocurrency markets behavior. Nevertheless, cryptocurrency price prediction is considered a very cha
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