The advent of the sixth generation of mobile communications (6G) ushers in an era of
heightened demand for advanced network intelligence to tackle the challenges of an …

Root Cause Analysis (RCA) is becoming increasingly crucial for ensuring the reliability of
microservice systems. However, performing RCA on modern microservice systems can be …

Manufacturing service composition (MSC) is an essential issue in cloud manufacturing,
which streamlines complex manufacturing tasks into manageable subtasks and integrates …

In recent decades, the exponential growth of applications has intensified traffic demands,
posing challenges in ensuring optimal user experiences within modern networks. Traditional …

Due to the high mobility of unmanned aerial vehicles (UAVs), the network topology may
change frequently, making persistent connectivity and fault tolerance difficult. Deep …

With the development of science and technology, high-dimensional global optimization
problems have become increasingly prevalent for scientific research and engineering, such …

This paper presents a novel method for estimating received signal strength (RSS) in indoor
radio propagation using a deep learning approach. The proposed method utilizes a training …

The dynamic reservoir of the randomly generated Echo State Network (ESN) contains
numerous redundant neurons, resulting in collinearity in the high-dimensional state space …

Software-Defined Networking (SDN) enhances network control but faces Distributed Denial
of Service (DDoS) attacks due to centralized control and flow-table constraints in network …

The challenge of link overutilization in networking persists, prompting the development of
load-balancing methods such as multi-path strategies and flow rerouting. However …