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Published in 2022 at "IEEE Computer Graphics and Applications"
DOI: 10.1109/mcg.2022.3149550
Abstract: Classical algorithms typically contain domain-specific insights. This makes them often more robust, interpretable, and efficient. On the other hand, deep-learning models must learn domain-specific insight from scratch from a large amount of data using gradient-based…
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Keywords:
visual computing;
differentiable visual;
challenges opportunities;
computing challenges ... See more keywords
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Published in 2017 at "IEEE Internet Computing"
DOI: 10.1109/mic.2017.26
Abstract: This article presents a detailed description of fog computing (also known as edge computing) and explores its research challenges and problems. Based on the authors' understanding of these challenges and problems, they propose a flexible…
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Keywords:
software architecture;
computing challenges;
fog computing;