Several reviews have been made regarding the methods and application of multi-objective
optimization (MOO). There are two methods of MOO that do not require complicated …

Feature selection has gained much consideration from scholars working in the domain of
machine learning and data mining in recent years. Feature selection is a popular problem in …

The coverage problem in wireless sensor networks (WSNs) can be generally defined as a
measure of how effectively a network field is monitored by its sensor nodes. This problem …

The rapid uptake of residential photovoltaic (PV) systems is causing serious power quality
issues such as significant voltage fluctuation and unbalance that are restricting the ability of …

The tradeoff between economic growth and environmental protection has been a critical
issue in facilitating eco-industrial park development in China. As the principal contributors to …

Creation of a Smart Grid provides utilities and their customers a significant improvement in
power reliability and services. To date, Smart Grid has attracted various researchers from …

High-frequency electromechanical impedance measured from the piezoelectric transducer
has been recognized as an effective indicator to infer minor damage occurrence. Over the …

Statistical inference is a mature research area, but distributed inference problems that arise
in the context of modern wireless sensor networks (WSNs) have new and unique features …

Recently the authors presented a single-agent Centralized Replicator Controller (CRC) and
a decentralized Multi-Agent Replicator Controller (MARC) for vibration control of high-rise …

Adaptive equalization is crucial in mitigating distortions and compensating for frequency
response variations in communication systems. It aims to enhance signal quality by …