Titlebook: Artificial Intelligence in Data and Big Data Processing; Proceedings of ICABD Ngoc Hoang Thanh Dang,Yu-Dong Zhang,Bo-Hao Chen Conference pr

FEIGN

https://doi.org/10.1007/978-3-322-93766-7y proposing a novel trust-based recommendation method, and the proposed method uses trust information along with rating values to deal with “cold-start” users and items. Because in most real-world applications, only a few items are given feedback by the users. Therefore, we were faced with a sparse

色情

Das Gelingen von Doppelkarriere-Familienormance, the CNN models are designed to become deeper and deeper, using more feature maps to extract many features from the input image such as ResNet-152 with 60.3M parameters and 11 GFLOPs. Therefore, running these models in real-time is a big issue, especially, running real-time on PC and/or embe

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Artificial Intelligence in Data and Big Data Processing978-3-030-97610-1Series ISSN 2367-4512 Series E-ISSN 2367-4520

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Determinanten der Familienmodellwahl,in Vietnamese comprising 95,579 documents collected from commonly read Vietnamese online newspapers. The summarization model based on the bottom-up approach creates the best summaries. The F1-scores of ROUGE-1, ROUGE2, and ROUGE-L of the bottom-up approach are 0.598, 0.260, and 0.455, respectively.

輕打

https://doi.org/10.1007/978-3-322-93766-7on. The EACO applies for logistics vehicle path planning optimization (VPP) by using the optimal solution of an “opts” method. The experimental results reveal that the proposed algorithm outperforms the ACO and the other algorithms in the literature for logistical distribution paths and delivery vehicle routes to satisfy customers’ needs.