Aniza Mohamed Din

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Artificial immune system can be used to generate schedules in changing environments and it has been proven to be more robust than schedules developed using a genetic algorithm. Good schedules can be produced especially when the number of the antigens is increased. However, an increase in the range of the antigens had somehow affected the fitness of the(More)
There are many factors that could affect the performance of a classifier. One of these factors is having imbalanced datasets which could lead to problem in classification accuracy. In binary classification, classifier often ignores instances in minority class. Resampling technique, specifically, undersampling and oversampling are the techniques that are(More)
Load balancing is one of the critical issues that must be considered in managing a grid computing environment. It is complicated due to the distributed and heterogeneous nature of the resources. An enhanced ant algorithm for load balancing in grid computing is proposed in this paper. The proposed algorithm will determine the best resource to be allocated to(More)
Customer Relationship Management (CRM) System is very important to enhance healthcare services, improve cost-effectiveness, and accessibility of the healthcare. Therefore, study of the adoption of the CRM in healthcare at organizational level is necessary to identify factors that influence the CRM adoption. Hence, this study aims at proposing an extended(More)
Previous research has shown that artificial immune systems can be used to produce robust schedules in a manufacturing environment. The main goal is to develop building blocks (antibodies) of partial schedules that can be used to construct backup solutions (antigens) when disturbances occur during production. The building blocks are created based upon(More)
This study presents a new algorithm based on ant colony optimization for load balancing management in grid computing. The concentration is on improving the way ants search the best resources in terms of minimizing the processing time of each job and at the same time balancing the workload on available resources. An enhanced technique is proposed for the(More)
Focusing on the use of semantic network representation, this paper presents an easy way in understanding concepts discussed in the Holy Quran. The Quran is known as the main source of knowledge and has been a major source reference for all types of problems. However, understanding the issues and the solution from the Quran is difficult due to lack of(More)
Focusing on the use of Semantic Network and Conceptual Graph (CG) representations, this paper presents an easy way in understanding concepts discussed in the Holy Quran. Quran is known as the main source of knowledge and has been a major source reference for all types of problems. However understanding the issues and the solution from the Quran is diffi(More)
Face recognition is one of the most interesting applications in the image processing field. To build a model to recognize the face of different people, we need to do several processes on the image to obtain the most efficient features. In this research a face recognition model is developed. The dataset used is of different face images. Neural Networks(More)