The demand of wireless access users is increasing explosively. The 5G network traffic is
increasing exponentially and showing a trend of diversity and heterogeneity, which makes …

Multilayer perceptron neural network is one of the widely used method for load forecasting.
There are hyperparameters which can be used to determine the network structure and used …

The aim of the research is to find the best performance both of logistic regression and linear
discriminant which their threshold uses some various values. The performance tools used …

Forecast of prices of financial assets including gold is of considerable importance for
planning the economy. For centuries, people have been holding gold for many important …

The growth and development of children under five (toddlers) affect their health conditions.
Each region uniquely identifies the main factors influencing the toddler's health condition …

Binary choices, such as success or failure, acceptance or rejection, high or low, heavy or
light, and so on, can always be used to express decision-making. Based on the known …

With the widespread implementation of parallel manipulators particularly for accurate high-
load tasks, reliable parameter calibration has become significantly important. In this article …

Network traffic prediction is an important network monitoring method, which is widely used in
network resource optimization and anomaly detection. However, with the increasing scale of …

Dengue fever is a disease that must be watched out and early preventive measures are
taken so the spread of this disease can be reduced. An early preventive dengue fever can …

The purposes of the paper are to apply a model of Double Seasonal
AutoregressiveIntegrated Moving Average with transfer function (DSARIMAX) on the number …