Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications
that solve problems and enable automation in diverse domains. Primarily, this is due to the …

The importance of cellular networks continuously increases as we assume ubiquitous
connectivity in our daily lives. As a result, the underlying core telecom systems have very …

This research paper introduces an innovative approach to predicting failures in Local Area
Network (LAN) switches, combining Double Exponential Smoothing (DES) with a suite of …

digital forensic tools are used to unravel criminal acts and prove crime in the court of law.
However, the area, task and/or functions digital forensic tools are being applied in may not …

Wireless mesh networks (WMNs) are the only costeffective networks that support seamless
connectivity, wide area network (WAN) coverage, and mobility features. However, the rapid …

The diagnosis of telecommunication networks remains a challenging task, mainly due to the
large variety and volume of data from which the root causes have to be inferred. Expert …

The faults in today's telecommunication systems happen frequently. The reason is simply the
complexity of the telecommunication networks and other supported hardware. Various parts …

Cellular network faults prediction models using mobile intelligent agent are presented in this
paper. Cellular networks are uncertain and dynamic in their behaviours and therefore we …

Increasing numbers of pipeline breakdown experienced by utilities undoubtedly raise
alarms concerning the anticipated failure consequences. Seemingly mild, these …

Both natural computing and fuzzy method exhibit human-like mental processing. Natural
computing is the field of research that works with computational techniques inspired in part …