Stimulant
发表于 2025-3-21 19:53:39
书目名称Computer Supported Cooperative Work and Social Computing影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0233944<br><br> <br><br>书目名称Computer Supported Cooperative Work and Social Computing影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0233944<br><br> <br><br>书目名称Computer Supported Cooperative Work and Social Computing网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0233944<br><br> <br><br>书目名称Computer Supported Cooperative Work and Social Computing网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0233944<br><br> <br><br>书目名称Computer Supported Cooperative Work and Social Computing被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0233944<br><br> <br><br>书目名称Computer Supported Cooperative Work and Social Computing被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0233944<br><br> <br><br>书目名称Computer Supported Cooperative Work and Social Computing年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0233944<br><br> <br><br>书目名称Computer Supported Cooperative Work and Social Computing年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0233944<br><br> <br><br>书目名称Computer Supported Cooperative Work and Social Computing读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0233944<br><br> <br><br>书目名称Computer Supported Cooperative Work and Social Computing读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0233944<br><br> <br><br>
谷物
发表于 2025-3-21 22:32:03
Decentralized Predictive Enterprise Resource Planning Framework on Private Blockchain Networks Using models, we introduce neural networks combine with a private Blockchain network. In addition, we design an algorithm to train the neural networks that combine the loss function from each local model to achieve the smallest global level validation loss. Finally, we implement the experiments to prove
一瞥
发表于 2025-3-22 01:17:08
Fine-Grained Diagnosis Method for Microservice Faults Based on Hierarchical Correlation Analysisis designed to infer the root cause of the fault and provide effective diagnosis information for administrators. Experimental results show that the mechanism can quickly locate the fault location and infer the root cause of microservice failure in a more fine-grained way.
懒鬼才会衰弱
发表于 2025-3-22 04:34:22
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esculent
发表于 2025-3-22 08:50:05
Modeling Method for Function Trees Guided by the Symmetric Quintuple Implicational Controller modeling, a new fuzzy and/or/not function tree establishing method has been put forward by using the symmetric quintuple implicational controller as the core. Finally, the whole process of functional tree modeling is demonstrated through an application example, and the validity of the scheme is ver
草率女
发表于 2025-3-22 15:39:35
Fog Computing Federated Learning System Framework for Smart Healthcare the system, an improved election algorithm and detection mechanism are proposed to improve the security of data interaction. Ensure the normal operation of the system. In this way, the problem of “data islands” and resource imbalance in the medical field can be solved. Using real cardiovascular dat
草率女
发表于 2025-3-22 17:14:15
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amyloid
发表于 2025-3-22 22:05:26
A Novel Traversal Search-Based D2D Collaborative Offloading Approach for Workflow Application in Dyncode the feasible offloading strategy in a rough order of cost, and then perform Fibonacci traversal to fast approximate the optimal offloading strategy. In the remaining iterations, a uniform traversal is performed in the neighborhood of the optimal offloading strategy. Finally, the best offloading
minion
发表于 2025-3-23 03:08:41
https://doi.org/10.1057/9780230514058 models, we introduce neural networks combine with a private Blockchain network. In addition, we design an algorithm to train the neural networks that combine the loss function from each local model to achieve the smallest global level validation loss. Finally, we implement the experiments to prove
Feedback
发表于 2025-3-23 05:36:40
The Royal Humane Society: The Methodis designed to infer the root cause of the fault and provide effective diagnosis information for administrators. Experimental results show that the mechanism can quickly locate the fault location and infer the root cause of microservice failure in a more fine-grained way.