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Jul 25, 2018 · Inspired by the principles of deep learning, we have proposed a universal deep neural model (DNM) for making multiple attributes QoS prediction ...
Inspired by the principles of deep learning, we have proposed a universal deep neural model. (DNM) for making multiple attributes QoS prediction with contexts.
Inspired by the principles of deep learning, we have proposed a universal deep neural model (DNM) for making multiple attributes QoS prediction with contexts.
Inspired by the principles of deep learning, a universal deep neural model (DNM) is proposed for making multiple attributes QoS prediction with contexts ...
We will propose a multi-layered neural network (as showed in Fig. 2) for context-aware multi-attributes QoS prediction.
Inspired by the principles of deep learning, we have proposed a universal deep neural model (DNM) for making multiple attributes QoS prediction with contexts.
Nov 28, 2023 · To this end, this paper proposes a new QoS PRediction method based on a Multi-Scale convolutional neural Network, i.e., QPRMSN. For each service ...
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Quality of service (QoS) has been mostly applied to represent non-functional properties of web services and differentiate those with the same functionality.
Guided by these, we propose two general neural models (STCA-1 and STCA-2) for the task of spatio-temporal context-aware collaborative QoS prediction by ...
Apr 6, 2022 · We propose a novel deep learning based approach called DeepTSQP to perform the task of temporal-aware service QoS prediction by feature integration.