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
Resonant mixed fractional-order p-Laplacian boundary value problem on the half-line
This study aims at establishing the solvability of a fractional-order p-Laplacian boundary value problem involving both the left Caputo and right Riemann-Liouville fractional derivatives on digiweigh digital pocket scale the half-line.In order to overcome the nonlinearity of the fractional differential thd deliclin? soap operator, we apply the Ge a
Location Optimization Based on Improved 3D DV-HOP Algorithm in Wireless Sensor Networks
The Distance Vector Hop (DV-HOP) localization algorithm, as a non ranging node localization algorithm, its operation is simple, does not ad24ce require additional measurement equipment support, with low cost.But wireless sensor network is generally used in three-dimensional complex environment.In response to the low positioning accuracy of this alg