Short period prediction is a relevant task for many network applications. Tuning the
parameters of the prediction model is very crucial to achieve accurate prediction. This work …

Traffic prediction constitutes a hot research topic of network metrology. This work focuses on
the design and the empirical evaluation of the behaviour of training-based models for …

Predicting and modeling network traffic is always an important subject in network capability
studying. The aim of this article is to explore a new network model in order to describe and …

Following the performance and force limitation method of the ISO/TS 15066 standard, safety
of a human–robot collaboration task is assessed for critical situations assuming quasi-static …

Internet traffic prediction plays a fundamental role in network design, management, control,
and optimization. The self-similar and non-linear nature of network traffic makes highly …

Accurate Internet traffic predictions can provide support to network operators for applications
such as traffic engineering, bandwidth allocation, anomaly detection, etc. We apply and …

Following the performance and force limitation method of the ISO/TS 15066 standard,
human safety is evaluated in a quasi-static impact situation in a human-robot collaboration …

Many modern machine learning tools are inefficient due to the pronounced nonlinearity of
traffic changes and nonstationarity. For this, the task of predicting the signs of increments …

As a crucial issue in computer network security, anomaly detection is receiving more and
more attention from both application and theoretical point of view. In this paper, a novel …

Статья представляет собой попытку некоторого упорядочения и категоризации
огромного потока публикаций по современным методам, техникам и моделям …