Developing an effective memetic algorithm that integrates the Particle Swarm Optimization (PSO)
algorithm and a local search method is a difficult task. The challenging issues include …

This paper presents a comparison between data from single modality and fusion methods to
classify Tualang honey as pure or adulterated using Linear Discriminant Analysis (LDA) …

Human skin detection is an essential step in most human detection applications, such as
face detection. The performance of any skin detection system depends on assessment of two …

A two-stage hybrid model for data classification and rule extraction is proposed. The first stage
uses a Fuzzy ARTMAP (FAM) classifier with Q-learning (known as QFAM) for incremental …

This study is based on the opinions of selected Iraqi extension workers, regarding the type
and amount of training they need, given their experience in the field. The Borich Needs …

This paper examines the training needs of extension agents in Iraq agriculture, specifically,
the practice of different extension approaches, activities, methods and principal problems of …

In this paper, a novel fuzzy support vector machine (FSVM) coupled with a memetic particle
swarm optimization (MPSO) algorithm is introduced. Its application to a license plate …

The objective of this study is to examine the training needs of agricultural extension workers
in various provinces of Iraq. Validate them and develop a method of identification of training …

This paper presents the ripeness classification of oil palm fresh fruit bunch (FFB) using
artificial neural network (ANN). ANN method was used to automate the decision of grading oil …

From the environmental conservation perspective, warm mix asphalt is more preferable
compared to hot mix asphalt. This is because warm mix asphalt can be produced and paved in …