[HTML][HTML] Complex methods detect anomalies in real time based on time series analysis

AS Alghawli - Alexandria Engineering Journal, 2022 - Elsevier
Real time anomaly detection is important to performance and efficiency in many areas. This
paper offers a complex method for detecting abnormal telecommunication traffic. The …

Applying visibility graphs to classify time series

L Kirichenko, T Radivilova, V Ryzhanov - Lecture Notes in Computational …, 2022 - Springer
In the work, a study of the characteristics of natural visibility graphs was carried out. The data
for constructing the graphs were model chaotic realizations and realizations of RR intervals …

Prediction of the Occurrence of Threatening Conditions in Individuals as a Problem of Assigning an Object to a Class

O Mulesa, O Yatsyna, O Melnyk… - 2022 IEEE 17th …, 2022 - ieeexplore.ieee.org
The research studies the problem of predicting the appearance of depressive disorders in
individuals. A verbal and mathematical formulation of the task of assigning an object to a …

[HTML][HTML] Cluster Analysis on Locally Asymptotically Self-Similar Processes with Known Number of Clusters

N Rao, Q Peng, R Zhao - Fractal and Fractional, 2022 - mdpi.com
We conduct cluster analysis of a class of locally asymptotically self-similar stochastic
processes with finite covariance structures, which includes Brownian motion, fractional …

Класифікація фрактальних реалізацій методами машинного навчання на основі побудови графів видимості

ВС Рижанов - 2022 - openarchive.nure.ua
Анотація Об'єкт дослідження–фрактальні реалізації. Мета роботи–дослідити метод
візуалізації фрактальних реалізацій за до-помогою якого буде здійснена класифікація …