標題: Titlebook: Collaborative Computing: Networking, Applications and Worksharing; 15th EAI Internation Xinheng Wang,Honghao Gao,Geyong Min Conference proc [打印本頁] 作者: Lactase 時間: 2025-3-21 17:14
書目名稱Collaborative Computing: Networking, Applications and Worksharing影響因子(影響力)
書目名稱Collaborative Computing: Networking, Applications and Worksharing影響因子(影響力)學科排名
書目名稱Collaborative Computing: Networking, Applications and Worksharing網絡公開度
書目名稱Collaborative Computing: Networking, Applications and Worksharing網絡公開度學科排名
書目名稱Collaborative Computing: Networking, Applications and Worksharing被引頻次
書目名稱Collaborative Computing: Networking, Applications and Worksharing被引頻次學科排名
書目名稱Collaborative Computing: Networking, Applications and Worksharing年度引用
書目名稱Collaborative Computing: Networking, Applications and Worksharing年度引用學科排名
書目名稱Collaborative Computing: Networking, Applications and Worksharing讀者反饋
書目名稱Collaborative Computing: Networking, Applications and Worksharing讀者反饋學科排名
作者: interlude 時間: 2025-3-21 21:30 作者: 辯論 時間: 2025-3-22 01:55 作者: 付出 時間: 2025-3-22 07:38 作者: BUMP 時間: 2025-3-22 08:53
A Dynamic Planning Framework for QoS-Based Mobile Service Composition Under Cloud-Edge Hybrid Enviroormed. Different from the traditional cloud service, the cloud-edge hybrid environment has the characteristics of limited resource storage, limited energy at the edge and uncertain users who move frequently. Dynamic reconfiguration in this mode is challenging. QoS is an important indicator of servic作者: defray 時間: 2025-3-22 16:43
A Security Framework to Protect Edge Supported Software Defined Internet of Things Infrastructuref centralized network management has been considered as an optimal choice to manage IoT. Edge computing brings cloud recourses near the IoT to localize the cloud demands. Consequently, SDN, IoT, and edge computing can be combined into a framework to create a resourceful SDIoT-Edge architecture to ef作者: defray 時間: 2025-3-22 17:18 作者: 凝視 時間: 2025-3-22 23:58 作者: neutrophils 時間: 2025-3-23 04:48 作者: intangibility 時間: 2025-3-23 06:35 作者: 注射器 時間: 2025-3-23 11:14 作者: 吞吞吐吐 時間: 2025-3-23 15:29
Itinerary Recommendation for User Groups in Temporary Social Networkwith common interests or purposes in the same area. When a user attends an event or conference in a new city, he/she can join the temporary social networks with his/her social account. Users who attend the same academic conference or activity may have similar interests and time schedules, so they ar作者: 帶來墨水 時間: 2025-3-23 18:08
An Integrated and Intelligent Dental Healthcare System with Mobile Serviceserience in a hospital. In this paper, we design and implement an integrated and intelligent healthcare system with mobile services, specific to dental healthcare. The developed system contains four components, including WeChat official account, intelligent question and answering (Q&A) system, mobile作者: 休息 時間: 2025-3-23 22:10
An Edge Computing-Based Framework for Marine Fishery Vessels Monitoring Systemsvity. Real-time communication and interaction between fishing vessels and shore-based systems is a weakness of traditional vessel monitoring systems. This paper proposes a novel framework of edge computing-based VMS (EC-VMS). The framework of EC-VMS mainly consists of four layers. An edge computing 作者: 關心 時間: 2025-3-24 03:00
A Mobile and Web-Based Approach for Targeted and Proactive Participatory Sensingarticipatory sensing applications is the uneven coverage of areas, i.e., some areas might be covered by multiple participants while there is no data for other areas. In this paper, we design mobile and web-based infrastructure to enable domain scientists to effectively acquire crowd-sensed data from作者: 騷動 時間: 2025-3-24 07:12 作者: 閃光東本 時間: 2025-3-24 13:40 作者: CLAP 時間: 2025-3-24 16:35 作者: Medley 時間: 2025-3-24 20:15 作者: CHART 時間: 2025-3-25 02:24
Conference proceedings 2019nd Worksharing, CollaborateCom 2019, held in London, UK, in August 2019.?The 40 full papers, 8 short papers and 6 workshop presented were carefully reviewed and selected from 121 submissions.?The papers reflect the conference sessions as follows: cloud, IoT and edge computing, collaborative IoT serv作者: 燒瓶 時間: 2025-3-25 04:07 作者: 弄皺 時間: 2025-3-25 11:35
Candice Christiansen,Meg Martinez-Dettamantiommended list and . is the time horizon. This regret upper bound matches the theoretical guarantee for UCB-like algorithm in the same settings. We also conduct a set of simulations comparing .-TS with the state-of-the-art algorithms. The empirical results demonstrate the advantage of our algorithm over existing works.作者: 停止償付 時間: 2025-3-25 15:41
Nicholas Blagden,Jake Jones,Kirsten Wilsonosts (e.g., renting and oil costs). Thus, we propose a group-wise itinerary planning framework to minimize the travel costs for each user in a temporary social network. Experimental results conducted on real-world data sets confirm the efficiency and effectiveness of our proposed framework.作者: Factual 時間: 2025-3-25 16:12
Collaborative Contextual Combinatorial Cascading Thompson Samplingommended list and . is the time horizon. This regret upper bound matches the theoretical guarantee for UCB-like algorithm in the same settings. We also conduct a set of simulations comparing .-TS with the state-of-the-art algorithms. The empirical results demonstrate the advantage of our algorithm over existing works.作者: DRILL 時間: 2025-3-25 23:50 作者: Transfusion 時間: 2025-3-26 01:09 作者: 思想上升 時間: 2025-3-26 06:22
https://doi.org/10.1007/978-94-017-6004-1utational complexity of the IoT Device Management Service Selection problem, an alternative heuristic-based approach called GA4MSS is proposed. Two series of experiments have been conducted and the experimental results show the performance of our approaches.作者: 災難 時間: 2025-3-26 10:07
https://doi.org/10.1007/978-3-030-49068-3 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.作者: Erythropoietin 時間: 2025-3-26 13:10 作者: 多節(jié) 時間: 2025-3-26 19:04
https://doi.org/10.1007/978-3-319-74479-7ase 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.作者: falsehood 時間: 2025-3-26 22:28 作者: 豐滿中國 時間: 2025-3-27 02:08
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.作者: BARB 時間: 2025-3-27 06:31
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.作者: 沒有希望 時間: 2025-3-27 12:33
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.作者: Multiple 時間: 2025-3-27 13:46 作者: 青少年 時間: 2025-3-27 17:54
Collaborative Computing: Networking, Applications and Worksharing978-3-030-30146-0Series ISSN 1867-8211 Series E-ISSN 1867-822X 作者: 變態(tài) 時間: 2025-3-28 00:34
https://doi.org/10.1007/978-3-030-30146-0artificial intelligence; classification; computer networks; computer systems; data communication systems作者: neoplasm 時間: 2025-3-28 03:06
978-3-030-30145-3ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019作者: 厭煩 時間: 2025-3-28 09:15
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作者: 大火 時間: 2025-3-28 14:04
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作者: Ccu106 時間: 2025-3-28 16:18 作者: 媽媽不開心 時間: 2025-3-28 21:42
https://doi.org/10.1007/978-94-017-6004-1lity of service (QoS) requirements. Recently, IoT device management service (MS) providers are arising to serve device owners. Device owners can now easily manage their devices by using IoT device MSs. It is critical to select suitable MSs from numerous candidates for devices. An optimal service sel作者: 語言學 時間: 2025-3-29 02:40
https://doi.org/10.1007/978-3-319-74823-8ormed. Different from the traditional cloud service, the cloud-edge hybrid environment has the characteristics of limited resource storage, limited energy at the edge and uncertain users who move frequently. Dynamic reconfiguration in this mode is challenging. QoS is an important indicator of servic作者: Forehead-Lift 時間: 2025-3-29 05:49
Helen Elliott,Kerensa Hocken,Phil Banyardf centralized network management has been considered as an optimal choice to manage IoT. Edge computing brings cloud recourses near the IoT to localize the cloud demands. Consequently, SDN, IoT, and edge computing can be combined into a framework to create a resourceful SDIoT-Edge architecture to ef作者: 泛濫 時間: 2025-3-29 07:51
Sexual Crime and Intellectual Functioninges, implies the state of urban operation, insight into the development trend. Due to the multidimensional characteristics and diverse analysis needs of spatial-temporal data, data analysis based on spatial-temporal data must take into account the large capacity, diversity and frequent changes of dat作者: ordain 時間: 2025-3-29 13:54
Lorraine Perry,Simon Duff,Lisa Wrightnterest in the recent years. Enterprise knowledge graph is a common tool of data integration and knowledge discovery and it has become a backbone to APIs that demand access to structured knowledge. A piece which was previously unnoticed in building enterprise knowledge graph, is adding an abstract l作者: 最高峰 時間: 2025-3-29 16:44 作者: Ballerina 時間: 2025-3-29 23:42 作者: OGLE 時間: 2025-3-30 03:41 作者: airborne 時間: 2025-3-30 08:03 作者: Banquet 時間: 2025-3-30 10:51
Nicholas Blagden,Jake Jones,Kirsten Wilsonerience in a hospital. In this paper, we design and implement an integrated and intelligent healthcare system with mobile services, specific to dental healthcare. The developed system contains four components, including WeChat official account, intelligent question and answering (Q&A) system, mobile作者: 表皮 時間: 2025-3-30 12:38 作者: 膠狀 時間: 2025-3-30 19:59
https://doi.org/10.1007/978-3-319-74479-7articipatory sensing applications is the uneven coverage of areas, i.e., some areas might be covered by multiple participants while there is no data for other areas. In this paper, we design mobile and web-based infrastructure to enable domain scientists to effectively acquire crowd-sensed data from作者: 拋媚眼 時間: 2025-3-30 21:39 作者: incite 時間: 2025-3-31 04:07 作者: grovel 時間: 2025-3-31 05:07 作者: Freeze 時間: 2025-3-31 12:19
A Dynamic Planning Framework for QoS-Based Mobile Service Composition Under Cloud-Edge Hybrid Enviroion indicator during dynamic reconfiguration. Then, attributes such as energy consumption, traffic and moving track are considered. A cost-reward mechanism is constructed to calculate the cost and reward of the service when it is invoked. The reasonable restriction conditions are added for controlli作者: 減至最低 時間: 2025-3-31 13:44 作者: 山頂可休息 時間: 2025-3-31 19:12
SMART: A Service-Oriented Statistical Analysis Framework on Spatio-Temporal Big Data (Short Paper)e tool to implement spatio-temporal data services on Hadoop. In order to prove the applicability of our method, we demonstrate the effectiveness of our work through a practical application-based study.
