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Nicole Etchart,Lo?c ComolliAN LTD companies themselves, completely free of charge. To all those Graham & Trotman Ltd, a member of the Kluwer Academic companies, which assisted us in our research operation, we Publishers Group, is a publishing organisation specialising in express grateful thanks. To all those individuals who gave us the978-94-010-4995-5978-94-011-2244-3

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kalso presents empirical validation of the proposed framework to show how a community-driven blended learning platform can mobilize the dormant knowledge capital of domain experts to teach underprivileged rural978-981-33-6740-1978-981-33-6738-8

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978-3-7985-0605-3Dr. Dietrich Steinkopff Verlag, GmbH & Co. KG, Darmstadt 1982

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Iterative Transfer Knowledge Distillation and?Channel Pruning for?Unsupervised Cross-Domain Compress the labels of testing data are insufficient. To address these problems, unsupervised domain adaptation (UDA) based transfer learning has gained significant attention. However, advanced deep learning models of UDA are too complex for real-time and resource-constrained applications. In this paper, we

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