Ensuring positive user experiences in communication networks is largely dependent on Quality of Experience (QoE) optimization. An extensive overview of methods for QoE optimization in communication networks is provided in this paper. One potential method for modeling and optimizing complex systems with uncertain and nonlinear properties is by ANFIS (adaptive Neuro-fuzzy inference system). ANFIS models provide the flexibility to reflect the inherent uncertainties and complexities of communication networks while offering adaptive learning capabilities by fusing fuzzy logic principles with neural network capabilities. The study highlights how important it is to optimize network characteristics......

KEYWORDS; QoE optimization, network parameters, Neuro-Fuzzy, ANFIS.

This paper describes the procedure for verify the accuracy and the errors of measurements in an analog ammeter, including the calculation of the expanded standard uncertainty; the direct measurement comparation method is used, and the environmental and technical considerations necessary to perform a reliable procedure are mentioned. In addition, the numerical and graphical results, obtained experimentally, are shown for one range of an analog multimeter as a function of direct current ammeter.

KEYWORDS; Accuracy, errors, uncertainty, ammeter, measurement comparation.