Titlebook: Advanced Information Networking and Applications; Proceedings of the 3 Leonard Barolli,Farookh Hussain,Tomoya Enokido Conference proceeding

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Bev?lkerung · Individuum Gesellschaftrt Vector Machine (SVM) are introduced. The performance of our proposed system is tested on public databases (RWTH-Boston-50 and RWTH-Boston-104) with signer-independent condition and outperformed the recent existing works.

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https://doi.org/10.1007/978-3-322-93524-3a recent overview of published work on the development of IUIs, initially through ML techniques and then, analyze only those based on DNN models. The ultimate goal is to provide researchers with concrete support to be able to develop IUI projects and to be able to inform them about the latest developments on . (AI) models used in this field.

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Advanced Information Networking and Applications978-3-030-99619-2Series ISSN 2367-3370 Series E-ISSN 2367-3389

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Lecture Notes in Networks and Systemshttp://image.papertrans.cn/a/image/145689.jpg

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Harald Wright M.A.,Melchior Palyimation at the device level can lead to energy savings, modern smart meters can only provide useful data for the whole house with low accuracy. Therefore, machine learning applied to the problem of energy disaggregation has gained wide attention. In this paper, an intelligent and optimized recurrent

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Bev?lkerung · Individuum Gesellschaftng technologies. An important element in reducing student dropout rates in a virtual learning is to understand the degree of engagement and satisfaction experienced by students in meaningful activities. The major novel contribution of this study is the combination of network Quality of Service (QoS)