Stability analyses of slopes are routinely done to identify potential landslide sections. This is
done for applying proper mitigation techniques. The stability of slopes is generally defined …

Medical image segmentation provides rich information in clinical applications for supporting
the advancement in the biomedical knowledge and to guide surgery. This paper reviews the …

This paper demonstrates several optimization techniques which comprise Genetic algorithm
(GA), Ant Colony optimization (ACO) and Particle swarm optimization (PSO). The proposed …

Constructing a prediction model of machining performance is useful to improve its process
efficiency. Artificial neural network (ANN) has been widely used in prediction works, capable …

Rotating machines are very critical equipment in the manufacturing and industrial sectors.
Unexpected failure of these types of equipment can result in huge maintenance costs. To …

This paper presents a method of predicting the machining parameters on the turning
process of low carbon steel using a neural network with back propagation (BP) and particle …

Collaborative learning team building is a fundamental, difficult and time-consuming task in
educational environments. In this paper, we address a collaborative learning team building …

This paper presents an exhaustive review of ANN training algorithms available in the
literature. Though both classical as well as soft computing based search and optimization …

Natural gas (NG) has been widely recognized as a cleaner fuel compared to other fossil
fuels. Reserves of NG are typically located in remote areas, and their conditions and …

Medical imagining is one of the major disciplines for analyzing human tissues non-
invasively. Image segmentation is a sub-process in image processing that divides the given …