Deep neuro-fuzzy systems (DNFSs) have been successfully applied to real-world problems
using the efficient learning process of deep neural networks (DNNs) and reasoning aptitude …

The paper proposes optimization of square split-ring resonator (SRR) metamaterial unit cell
using modified hybrid bacterial foraging–particle swarm optimization (BF-PSO). Optimized …

Abrasive waterjet (AWJ) is a promising method for machining titanium alloy, which is widely
used in the aerospace field, but the various process parameters of AWJ make it difficult to …

This paper proposes a hybridized machine-learning framework called Extreme Learning
Machine using self-adaptive multi-population-based Jaya algorithm for forecasting the …

To solve optimization problems, in the field of engineering optimization, an optimal value of
a specific function must be found, in a limited time, within a constrained or unconstrained …

This study discusses various permanent magnet synchronous motorspeed controlstrategies.
As opposed to other motors used in drives, permanent magnet synchronous motor is …

Load forecasting plays an essential role in the power systemenergy management system.
Important factors that are crucial for short-termload forecasting (STLF) are unit commitment …

Electrodischarge machining (EDM) is a popular non-conventional material removal process
because it can machine conducting materials. EDM processing conditions are vital for the …