Energy and security are major challenges in a wireless sensor network, and they work
oppositely. As security complexity increases, battery drain will increase. Due to the limited …

With the rapid growth in foreign trade business and the continuous expansion of customs
functions, the amount of data obtained by customs monitoring systems has drastically …

This paper proposes an innovative tuning approach for fuzzy control systems (CSs) with a
reduced parametric sensitivity using the Grey Wolf Optimizer (GWO) algorithm. The CSs …

This article describes design and application of feed-forward, fully-connected, three-layer
perceptron neural network model for computing the water quality index (WQI) 1 for Kinta …

The circulating fluidized bed boiler is an advanced clean energy technology that has
received much attention in the power industry due to its fuel flexibility. In this study, a deep …

Fuzzy control has long been applied to industry with several important theoretical results
and successful results. Originally introduced as model-free control design approach, model …

Most existing evolutionary search strategies are not so efficient when directly handling the
decision space of large-scale multiobjective optimization problems (LMOPs). To enhance …

Sliding-mode control (SMC) has been studied extensively for over 50 years and widely used
in practical applications due to its simplicity and robustness against parameter variations …

Conventional model-based data processing methods are computationally expensive and
require experts' knowledge for the modelling of a system. Neural networks are a model-free …

Road network extraction is one of the significant assignments for disaster emergency
response, intelligent transportation systems, and real-time updating road network. Road …