Titlebook: Collaborative Computing: Networking, Applications and Worksharing; 15th EAI Internation Xinheng Wang,Honghao Gao,Geyong Min Conference proc

falsehood

豐滿中國

An Approach for Item Recommendation Using Deep Neural Network Combined with the Bayesian Personalize the Movielens 20M dataset, the results of the SDAE-BPR, a traditional item-based collaborative filtering model and a user-based collaborative filtering model are compared. It is shown that the SDAE-BPR has higher accuracy. This method improves the accuracy of parameter estimation and the efficiency of model training.

BARB

An Edge Computing-Based Framework for Marine Fishery Vessels Monitoring Systemsjectory Transmission Model (ATTM) is presented in this paper. The experimental results illustrate the efficiency of the proposed EC-VMS, with the average communication time significantly decreased in a typical scenario. Moreover, EC-VMS improves the real-time performance of the system.

沒有希望

A Mobile and Web-Based Approach for Targeted and Proactive Participatory Sensingase the performance of our proposed system and studied the performance of the caching algorithm for different real-world scenarios on different mobile phones. We observed that prefetching data improves the performance to some extent; however, it starts to degrade after a certain point depending upon the number of nearby AOIs.

Multiple

青少年

Collaborative Computing: Networking, Applications and Worksharing978-3-030-30146-0Series ISSN 1867-8211 Series E-ISSN 1867-822X

變態(tài)

https://doi.org/10.1007/978-3-030-30146-0artificial intelligence; classification; computer networks; computer systems; data communication systems

neoplasm

978-3-030-30145-3ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

厭煩

https://doi.org/10.1007/978-3-031-46626-7s more efficient and faster solutions than traditional virtual machines, offering good scalability, flexibility, and multi-tenancy. They are capable of serving in a heterogeneous and dynamic environment across multiple domains, including IoT, cloud, fog, and multi-access edge computing. In this pape

大火

Daniel T. Wilcox,Alan Kessedjianimage recognition. In crowdsourcing systems, requesters publish tasks that are answered by workers. However, the responses collected from the crowd are ambiguous as the workers on internet with unknown and very diverse abilities, skills, interests and knowledge background. In order to ensure the qua