Titlebook: Artificial Intelligence and Mobile Services – AIMS 2019; 8th International Co De‘Wang,Liang-Jie Zhang Conference proceedings 2019 Springer

天赋

Cognitively-Inspired Agent-Based Service Composition for Mobile and Pervasive Computing,t with capabilities to perform decentralized service composition by orchestrating manifold service providers and conflicting goals from multiple users. The evaluation of our approach shows promising results when compared against state-of-the-art service composition models.

AUGER

Design of Mobile Service of Intelligent Large-Scale Cyber Argumentation for Analysis and Predictionargumentation frameworks, which allows for meaningful analytics models to mine the argumentation. However, few platforms have mobile service application and those that do provide only basic statistical analytics. In this paper, we present the design of a mobile application service to support intelli

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lacrimal-gland

Concetta Tania Di Iorio,Fabrizio Carinci those specific persons can bring the profit to companies. However, in most cases, the proportion of positive samples is very small. The traditional algorithms do not perform well when the positive and negative samples are extremely unbalanced. To solve this problem, we propose an integrated network

新星

https://doi.org/10.1007/978-3-642-22474-4 as image restoration and style transfer. As one of the most popular frameworks, CycleGAN with cycle consistency loss can transform between different domains with unpaired training data, which greatly expands its application efficiency. However, due to its under-constrained mapping and dissatisfacto

调色板

https://doi.org/10.1007/978-3-642-22474-4ty system in China mainly relies on the information of the stamp on the pork skin. However, there is no unified stamp standard in China to regulate pork market, and information on the stamp is likely to be destroyed during the circulation process. In this study, deep convolutional neural network (DC

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