Colorectal cancer (CRC) is one of the most common malignant cancers worldwide. To reduce mortality, early diagnosis and treatment are essential in leading to a greater improvement survival length patients. In this paper, hybrid feature selection technique (RF-GWO) based on random forest (RF) algorithm gray wolf optimization (GWO) was proposed for handling high dimensional redundant datasets col...

Abstract Considering the complexities and challenges in classification of multiclass imbalanced fault conditions, this study explores systematic combination unsupervised supervised learning by hybridising clustering (CLUST) optimised multi-layer perceptron neural network with grey wolf algorithm (GWO-MLP). The hybrid technique was meticulously examined on a historical hydraulic system dataset f...

In recent years, finding the optimal solution for image segmentation has become more important in many applications. The whale optimization algorithm (WOA) is a metaheuristic technique that advantage of achieving global while also being simple to implement and solving real-time problems. If complexity problem increases, WOA may stick local optima rather than optima. This could be an issue obtai...

Metal bending tube is widely used in industry while its forming defects extremely affect the quality. Among all defects, bending-inside wrinkling caused by non-uniform compressive stress a zero-tolerated defect, particularly when for transportation. However, current detection approach, suffering from lack of insight into mechanism, normally posteriori. To obtain priori condition certain go-to-b...

Accurate identification of lithology is the basis and key process fine logging interpretation evaluation. However, reservoirs formed by different sedimentary environments tectonic movements generally have characteristics complex diverse strong heterogeneity, which brings great difficulty to reservoir lithology. This paper proposes an automatic technology for based on GWO-SVM algorithm model. Th...

It is a challenging task to accurately track the global maximum power point (GMPP) in changing environment widely used photovoltaic (PV) systems. So far, variety of (MPP) tracking algorithms have been solar PV The classical algorithm simple and fast speed effectively constant environment, but it can get stuck at an extreme variable environment. In this paper, variable-step incremental conductan...