危机
发表于 2025-3-28 16:14:16
,Dependability Analysis for Transaction Processing in On-Demand Computing System, an important in on-demand computing as several jobs or transactions may access the same resource at a time. In order to guarantee the trustworthy of resources, reliability, and performance of services, the system needs to be dependable. In this study, we explore the dependability analysis in on-dem
朝圣者
发表于 2025-3-28 18:54:33
http://reply.papertrans.cn/48/4702/470126/470126_42.png
Diatribe
发表于 2025-3-29 00:50:03
http://reply.papertrans.cn/48/4702/470126/470126_43.png
大包裹
发表于 2025-3-29 04:16:45
http://reply.papertrans.cn/48/4702/470126/470126_44.png
Electrolysis
发表于 2025-3-29 07:31:03
Application of Soft Computing Techniques in Database Intrusion Detection,main, soft computing has already proven to be capable of creating a system capable of detecting and characterizing anomalous behavior which is composed of evolutionary computing tools, artificial neural networks, and fuzzy logic. In this research, a total of five novel approaches have been proposed
nepotism
发表于 2025-3-29 13:41:11
http://reply.papertrans.cn/48/4702/470126/470126_46.png
Figate
发表于 2025-3-29 19:23:51
Self-organized and Self-sustainable Autoscaling for Scientific Workflow Application in Cloud Envirorns capital. The key to effective cloud implementation is the determination of the optimum resource pool size for reservation. This problem can be addressed by the autoscaling function of the cloud for efficient resource utilization. A huge quantity of energy is used by the server in the cloud data
发电机
发表于 2025-3-29 21:46:46
Development of Fuzzy-Based Methodologies for Decision-Making Problem,e studied to solve multi-attribute group decision-making (MAGDM) problems in the framework of P-IVIHFS. We have introduced IVILDFS as an extension of the linear Diophantine fuzzy set (LDFS). Score functions, accuracy functions and aggregation operators are proposed in the framework of IVILDFS and im
Congregate
发表于 2025-3-30 02:22:36
Density-Based Mining Algorithms for Dynamic Data: An Incremental Approach, incremental algorithms (. and .) supporting both insertion and removal of data in batch mode. . obtained a maximum efficiency upto an order of 2.28 (.191 times) maintaining a mean clustering accuracy of around 60.375%. . and . achieved high efficiency upto an order of 3, 4, respectively. The cluste
Adornment
发表于 2025-3-30 07:57:25
nefits from the supports of both the Orange – Ecole Polytechnique – Télécom ParisTech “Innovation and Regulation” Chair and the Dassault Aviation – DCNS – DGA – Thales – Ecole Polytechnique – ENSTA ParisTech – Télécom ParisTech “Complex Systems Engineering” Chair..978-3-319-04312-8978-3-319-04313-5Series ISSN 2194-5357 Series E-ISSN 2194-5365