This article presents an improved version of Fractional Order Darwinian PSO (IFODPSO) for
segmenting 3D histogram-based color images at multiple levels of Berkley Segmentation …

Rice blast (RB) and Brown spot (BS) are economically important diseases in rice that cause
greater yield losses annually. Both share the same host and produce quite similar lesions …

Multilevel thresholding (MLT) has a significant impact in the realm of image segmentation. It
is a simple and efficient method for image segmentation. However, as the number of …

Thresholding is a frequently used method in image processing because of its consistency
and low computational cost. Kapur's method is an important threshold segmentation method …

Fault diagnosis of the insulator is significant to keep the stable operation of the power
systems. However, the fault point of insulator is hard to detect which makes the fault …

The computing method of the average optimal position is one of the most important factors
that affect the optimization performance of the QPSO algorithm. Therefore, a particle position …

Aiming at the problems of low storage efficiency, high execution cost, and high energy
consumption of traditional regional public management evaluation indexes, a regional …

The computing method of the average optimal position is one of the 10 most important
factors that affect the optimization performance of the QPSO al-11 gorithm. Therefore, a …

This article presents an improved version of Fractional Order Darwinian PSO (IFODPSO) for
segmenting 3D histogrambased color images at multiple levels of Berkley Segmentation …

This paper describes a robust feedback technique involving novel fixed-time-convergent
sliding mode technology (NFTCSMT) using improved quantum particle swarm optimization …