This study used the measured data in the Kenting Spring Scream activity region, the mean
cell range corresponding to each MCS was 0.39 km~ 1.99 km from MCS (0) to MCS (28) …

In this article, we focus on constructing a multicategory railway defect detection method,
which is important in both railway operation and railway maintenance. We designed a deep …

With the purpose of detecting the turnout fault without label data and fault data timely, this
paper proposes a hybrid deep learning framework com-bining the DDAE (Deep Denoising …

The growing subscriber Quality of Experience demands are posing significant challenges to
the mobile cellular network operators. One such challenge is the autonomic detection of …

The internet's exponential growth has transformed industries, connected the world, and
empowered individuals with unprecedented access to knowledge. Despite the widespread …

With rising capacity demand in mobile networks, the infrastructure is also becoming
increasingly denser and more complex. This results in collection of larger amount of raw …

The increase in demand of high-speed mobile internet has become a significant challenge
towards mobile telecommunication service provider. The evolution from 3G to 4G mobile …

Effective base station (BS) evaluation can assist telecom operators to find problematic cells
and optimize the system performance. This paper proposes a data mining based joint BS …

In order to reduce the loss of information of the majority class samples in the resampling
process, combining the distribution of class samples and the characteristics of ensemble …

PCI (Physical Cell Identity) is a configuration of cell identity used to regulate the neighboring
system of each cell that correspond a unique combination of PSS (Primary Synchronization …