Measure Method and Metrics for Network Characteristics in Service Systemsservice systemsnetwork characteristic measureservice cooperation relationshipAs the development of Service-oriented architecture and serv
Middleware - Tool designed to help engineering leaders measure and analyze the effectiveness of their teams using the DORA metrics. (Source Code) Apache-2.0 Docker/Python/Nodejs Mixpost - Social media management software to easily create, schedule, publish, and manage social media content in one ...
Statistical based technique, techniques based on Machine Learning, Neural network and other detection approaches or Techniques. The capability and weakness of the detection techniques were pointed out. The metrics for the performance Evaluation of some of the various techniques as well as Data set repo...
Networking is on a fast track with developments in virtualization, mobility, software and other areas. Not all sources are equal, so the interviewer should understand both the candidate's process and resources. Hiring managers should ask job candidates the following network management interview questio...
Metrics Abstract Artificial intelligence (AI) researchers currently believe that the main approach to building more general model problems is the big AI model, where existing neural networks are becoming deeper, larger and wider. We term this the big model with external complexity approach. In this...
We used the Java Programming Language to implement the proposed metrics in one graphical user-interface called ROCONA. This tool simplifies periodic risk measurement and management. Third, the underlying framework of our tool is more advanced with respect to the existing tools and previous research ...
(figure 1 ). in fact, the only metric that we are aware of for comparing segmentation results was created to help evaluate submissions to the diadem challenge. in this paper, we propose efficient and robust metrics for comparing complex interconnected structures. we show that these metrics can ...
Kaur, K., Kaur, P.: Evaluation of sampling techniques in software fault prediction using metrics and code smells. IEEE (2017) Google Scholar Altinger, H., Herboldy, S., Schneemann, F., Grabowskiy, J., Wotawa, F.: Performance tuning for automotive software fault prediction. IEEE (2017...
Journal metrics Journal Impact Factor 4.1 (2023) 5-year Journal Impact Factor 2.8 (2023) Submission to first decision (median) 43 days Downloads 150.6k (2024)Latest articles A Novel Framework for Integrating Blockchain-Driven Federated Learning with Neural Networks in E-Commerce Osama Alshareet...
In addition, an analytical disciplined convex optimization approach, taking into account the performance and complexity metrics, is proposed as comparison. Simulation results demonstrate that the ACO scheme proves to be useful in order to obtain spectral-efficient and energy efficient systems suitable for...