Recently Network Fault Prediction (NFP) has arisen new scientific interest. The ability to
predict network equipment failure is increasingly identified as an effective tool to improve …

Predicting Local Area Network (LAN) equipment failure is of utmost importance to ensure the
uninterrupted operation of modern communication networks. This study explores the use of …

Modern microwave networks must cope with strict Quality of Services (QoS) requirements,
such as low latency, high bandwidth and high availability. As network failures can affect …

Nowadays people are becoming increasingly dependent on networks. Taking precautions
before failure of networks is becoming more and more important. Compared with detection …

In this paper, we present a multivariate recurrent neural network model for short-time
prediction of the number of failures that are expected to be reported by users of a broadband …

Telecommunication networks play a major role in today's society as they support the
transmission of information between businesses, governments, and individuals. Hence …

Very high reliability/availability at affordable cost requires a proactive approach to system
faults and failures. This calls for sophisticated fault detection algorithms that ultimately could …

Maintaining and managing ever more complex telecommunication networks is an
increasingly difficult task, which often challenges the capabilities of human experts. There is …

This paper proposes a pragmatic deep learning-based method to not only analyze the root
cause of network failure, but also predict possible failures in the microwave (MW) network …

Good quality network connectivity is ever more important. For hybrid fiber coaxial (HFC)
networks, searching for upstream high noise in the past was cumbersome and time …