書目名稱Collaborative Computing: Networking, Applications and Worksharing影響因子(影響力)學(xué)科排名
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書目名稱Collaborative Computing: Networking, Applications and Worksharing網(wǎng)絡(luò)公開度學(xué)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(xué)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(xué)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(xué)科排名
作者: CAPE 時(shí)間: 2025-3-21 23:31 作者: 監(jiān)禁 時(shí)間: 2025-3-22 02:45
Collaborative Computing: Networking, Applications and Worksharing978-3-031-24383-7Series ISSN 1867-8211 Series E-ISSN 1867-822X 作者: 被詛咒的人 時(shí)間: 2025-3-22 06:36 作者: 手榴彈 時(shí)間: 2025-3-22 09:17 作者: Nonporous 時(shí)間: 2025-3-22 16:49 作者: Nonporous 時(shí)間: 2025-3-22 18:51
Russia: Sex, Demographics and LGBT Activism,commend the API to developers to satisfy their Mashup requirements. The existing service recommendation methods based on Graph Neural Network (GNN) usually construct feature interaction graph by the interactions of service features, and regard it as the input of GNN to achieve service prediction and作者: 小故事 時(shí)間: 2025-3-23 00:59
: Sexual Diversity and New Technologies,ectory of users is dynamically changing and different in different districts of a city. This has caused the problem of no bikes at some stations, while others have accumulated bikes. However, most of the research work adds contexts such as spatiotemporal and weather features to the bike flow predict作者: 胖人手藝好 時(shí)間: 2025-3-23 01:25
Sexual Divisions and the Dual Labour Market,orative computing approach, has been receiving widespread attention recently. In this context, many clients collaboratively train a shared global model under the orchestration of a remote server, while keeping the training data localized. To achieve better federated learning performance, the majorit作者: Metastasis 時(shí)間: 2025-3-23 07:27
https://doi.org/10.1007/978-1-349-21191-3ly of limited utility in the Internet of Things (IoT) scenarios, as they either heavily depend on high-quality labeled data or only perform well under idealized conditions, which typically cannot be found in practical applications. As such, a natural problem is how to leverage unlabeled data among m作者: 迅速成長(zhǎng) 時(shí)間: 2025-3-23 12:56 作者: Exonerate 時(shí)間: 2025-3-23 17:24
Self-Negating Policies and Polities, system contains some user private information, how to provide accurate suggestions for cold-start users on the basis of protecting privacy is an important issue. Federated recommendation systems keep user private data on mobile devices to protect user privacy. However, compared to federated single-作者: 歌曲 時(shí)間: 2025-3-23 21:57 作者: 使服水土 時(shí)間: 2025-3-23 22:16 作者: 矛盾 時(shí)間: 2025-3-24 06:25 作者: Crepitus 時(shí)間: 2025-3-24 07:39
Knowledge: The Foundations of Forensics,n containers in a cloud-edge collaborative environment is adopted by more and more enterprise application providers. For users, they care more about application response time and application availability. For application providers, they also need to save deployment costs to the maximum extent. There作者: Ceramic 時(shí)間: 2025-3-24 14:27
Introducing the Subject to Women,users at the edge of the network. However, those edge-based novel applications (e.g., live broadcast, edge cloud game, real-time AR/VR rendering, etc.) are usually bandwidth-consuming, which has made a considerable contribution to the operating costs of edge application providers. Meanwhile, the ban作者: tooth-decay 時(shí)間: 2025-3-24 15:09 作者: placebo-effect 時(shí)間: 2025-3-24 19:06 作者: 扔掉掐死你 時(shí)間: 2025-3-25 01:39
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engihttp://image.papertrans.cn/c/image/229412.jpg作者: Onerous 時(shí)間: 2025-3-25 06:20 作者: Hyperalgesia 時(shí)間: 2025-3-25 11:32
Knowledge: The Foundations of Forensics,ing deployment cost and average response time under availability constraints. Using the real dataset of Shanghai Telecom, the experimental results show that the proposed DP-GA is superior to the existing methods, reducing average response time by about 35% and saving deployment cost by about 15%.作者: placebo 時(shí)間: 2025-3-25 12:23 作者: 音樂會(huì) 時(shí)間: 2025-3-25 18:42
P. William McLaughlin,Gregory Merrick preferentially selecting the node with a larger degree and reconnecting the edge according to the eigenvector criterion. The experimental results show that our solution is effective that can solve the network synchronization problem well by improving network topology.作者: blithe 時(shí)間: 2025-3-25 20:35 作者: 是他笨 時(shí)間: 2025-3-26 02:44
System Completion Time Minimization with?Edge Server Onboard Unmanned Vehicleime minimization, we propose an SQP-based iterative algorithm, which can generate feasible stopping points by using quadratic programming. V-edge travel time minimization problem can be converted to a TSP problem and thus can be solved by some existing methods. Finally, experiments are conducted to verify the usability of the proposed approach.作者: 實(shí)現(xiàn) 時(shí)間: 2025-3-26 07:25 作者: 比賽用背帶 時(shí)間: 2025-3-26 11:19
https://doi.org/10.1057/9780230610071n reliable and effective service orchestration results between different datacenter environments. The simulation results demonstrate that the proposed orchestration method reaches convergence faster and has a significant performance in terms of improving service reliability.作者: Outspoken 時(shí)間: 2025-3-26 16:42
A Reliable Service Function Chain Orchestration Method Based on?Federated Reinforcement Learningn reliable and effective service orchestration results between different datacenter environments. The simulation results demonstrate that the proposed orchestration method reaches convergence faster and has a significant performance in terms of improving service reliability.作者: 青石板 時(shí)間: 2025-3-26 18:05
Conference proceedings 2022and application; Edge Computing and Collaborative working; Blockchain applications; Security and Privacy Protection; Deep Learning and application; Collaborative working; Images processing and recognition..作者: 皺痕 時(shí)間: 2025-3-27 00:13
1867-8211 Learning and application; Edge Computing and Collaborative working; Blockchain applications; Security and Privacy Protection; Deep Learning and application; Collaborative working; Images processing and recognition..978-3-031-24382-0978-3-031-24383-7Series ISSN 1867-8211 Series E-ISSN 1867-822X 作者: labile 時(shí)間: 2025-3-27 04:44 作者: 摻和 時(shí)間: 2025-3-27 05:47
Collaborative Computing: Networking, Applications and Worksharing18th EAI Internation作者: plasma-cells 時(shí)間: 2025-3-27 09:44
https://doi.org/10.1007/978-3-658-35721-4strategy through the pooling operation; then, the samples are used in GNN-based recommender systems to obtain more accurate user and service embedding representations; next, calculate the inner product score embedded by the user and the service, and recommend high inner product score services to use作者: 使閉塞 時(shí)間: 2025-3-27 14:45 作者: Cholagogue 時(shí)間: 2025-3-27 19:42
Sexual Diversity and the Sochi 2014 Olympicsed vote scores respectively. Furthermore, based on the representations of expert and target question, a multi-task learning model is adopted to predict the most suitable expert and his/her potential vote score, which could provide the intuitive explanation that why routes the question to the expert.作者: Frenetic 時(shí)間: 2025-3-28 00:13
Russia: Sex, Demographics and LGBT Activism,ements and API services is performed, and the correlation between API services is calculated based on the label and description document of the API services and used as a basis for recommending API services to Mashup requirements. Secondly, edge prediction component is used to extract beneficial fea作者: Rheumatologist 時(shí)間: 2025-3-28 04:30
: Sexual Diversity and New Technologies,o capture the dependence relationship between time series. Using the Attention Mechanism to obtain key features can reduce prediction errors. We propose the context-based prediction model of the number of bike-sharing on the station with LSTM and Attention Mechanism (C-LSTMAM). This model can specif作者: Tremor 時(shí)間: 2025-3-28 07:03 作者: nullify 時(shí)間: 2025-3-28 13:29 作者: GROVE 時(shí)間: 2025-3-28 16:01 作者: CREEK 時(shí)間: 2025-3-28 21:18
Self-Negating Policies and Polities,tems embeddings are divided into common and private. The common embeddings are shared by all users, and we train a meta-network to generate private embeddings for each user. The mapping stage learns to transfer user embeddings from source domain to target domain. In order to alleviate the negative i作者: modest 時(shí)間: 2025-3-29 01:37
https://doi.org/10.1007/978-3-031-13650-4s the task scheduling scheme in detail, including its architecture, metadata and data management, context-aware scheduling algorithm, and task offloading. We evaluate the feasibility and effectiveness of the proposed approach on a dataset of taxi trajectories in a city. The results illustrate that t作者: 使絕緣 時(shí)間: 2025-3-29 03:29 作者: Culmination 時(shí)間: 2025-3-29 07:48
Introducing the Subject to Women,roach, shorts for EBA. It firstly employs a network flow-based heuristic to find a feasible initial solution quickly. Then, an adaptive large neighborhood search-based method is utilized to perform iterative optimization, which contains hill climbing and simulated annealing mechanisms. Therefore, th作者: 模范 時(shí)間: 2025-3-29 13:16
A Negative Sampling-Based Service Recommendation Methodstrategy through the pooling operation; then, the samples are used in GNN-based recommender systems to obtain more accurate user and service embedding representations; next, calculate the inner product score embedded by the user and the service, and recommend high inner product score services to use作者: 母豬 時(shí)間: 2025-3-29 16:33 作者: 提名 時(shí)間: 2025-3-29 21:58
Expertise-Oriented Explainable Question Routinged vote scores respectively. Furthermore, based on the representations of expert and target question, a multi-task learning model is adopted to predict the most suitable expert and his/her potential vote score, which could provide the intuitive explanation that why routes the question to the expert.作者: AWL 時(shí)間: 2025-3-30 03:55 作者: Chipmunk 時(shí)間: 2025-3-30 06:41 作者: 芭蕾舞女演員 時(shí)間: 2025-3-30 10:26 作者: colony 時(shí)間: 2025-3-30 13:48 作者: 拘留 時(shí)間: 2025-3-30 20:28
Edge Federated Learning for?Social Profit Optimality: A Cooperative Game Approach benefit of the cooperative system. First, we propose a method of Shapley Value contribution degree estimated by Integrated Gradients based on the method of cooperative game (IG-Shapley Value). This method can quantitatively evaluate the contribution that edge devices provide to the model at each ro作者: 大雨 時(shí)間: 2025-3-30 22:35 作者: BRAVE 時(shí)間: 2025-3-31 03:18
A Context-Aware Approach to?Scheduling of?Multi-Data-Source Tasks in?Mobile Edge Computings the task scheduling scheme in detail, including its architecture, metadata and data management, context-aware scheduling algorithm, and task offloading. We evaluate the feasibility and effectiveness of the proposed approach on a dataset of taxi trajectories in a city. The results illustrate that t作者: recede 時(shí)間: 2025-3-31 05:02 作者: 耕種 時(shí)間: 2025-3-31 10:29 作者: thrombus 時(shí)間: 2025-3-31 17:11
A Negative Sampling-Based Service Recommendation Methodt, the collaborative filtering technology based on graph neural network has achieved good results in service recommendation. However, these methods ignore the influence of negative sample neighbor nodes. Therefore, we propose a service recommendation method based on negative sampling, which uses the作者: 冥想后 時(shí)間: 2025-3-31 20:02
Knowledge Graph Enhanced Web API Recommendation via?Neighbor Information Propagation for?Multi-servit. Currently, the number of Web APIs on the Internet is huge and growing exponentially. To enable accurate and fast Web API selection for developers, researchers have proposed a variety of Web API recommendation methods. However, existing methods cannot solve the inherent data sparsity problem well.
