falsehood 发表于 2025-3-26 22:28:42
http://reply.papertrans.cn/23/2295/229410/229410_31.png丰满中国 发表于 2025-3-27 02:08:25
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 发表于 2025-3-27 06:31:46
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.没有希望 发表于 2025-3-27 12:33:45
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 发表于 2025-3-27 13:46:55
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Collaborative Computing: Networking, Applications and Worksharing978-3-030-30146-0Series ISSN 1867-8211 Series E-ISSN 1867-822X变态 发表于 2025-3-28 00:34:25
https://doi.org/10.1007/978-3-030-30146-0artificial intelligence; classification; computer networks; computer systems; data communication systemsneoplasm 发表于 2025-3-28 03:06:52
978-3-030-30145-3ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019厌烦 发表于 2025-3-28 09:15:24
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 发表于 2025-3-28 14:04:56
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