IMPROVED FEATURE SELECTION AND STREAM TRAFFIC CLASSIFICATION BASED ON MACHINE LEARNING IN SOFTWARE-DEFINED NETWORKS

Improved Feature Selection and Stream Traffic Classification Based on Machine Learning in Software-Defined Networks

Traffic classification (TC) in software-defined networks (SDN) using machine learning (ML) appears to be a viable option for improving network management.TC improves SDN operability, while SDN speeds up the feature selection (FS) process, especially when ML is used as a classification mechanism to extract measurements and related information from i

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Improvement of the process of handling participants in road traf-fic events by the police in the Opole voivodship

The article presents the process of handling participants in road traffic accidents by the police privileged vehicles.The following research tools were used to conduct the study: theoretical (analysis, synthesis, generalization, comparison) and practical (method of ordering, observation, direct interview).The analysis of Raypak ELS 3-Series Heater

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Oblique lateral interbody fusion combined with different internal fixations for the treatment of degenerative lumbar spine disease: a finite element analysis

Abstract Background Little is known about the biomechanical performance of different internal fixations in oblique lumbar interbody fusion (OLIF).Here, finite element (FE) analysis was used to describe the biomechanics of various internal fixations and compare and explore the stability of each fixation.Methods CT scans of a patient with lumbar dege

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