Ajala Funmilola Alaba

Ajala Funmilola Alaba
Ladoke Akintola University of Technology · Department of Computer Science and Engineering

PhD Computer Science

About

24
Publications
25,962
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264
Citations

Publications

Publications (24)
Article
Access control systems are crucial for securing sensitive data and system components by allowing authorized access while blocking unauthorized entities. Traditional unimodal biometric systems, make use of a single physiological or behavioral trait, have limitations such as susceptibility to spoofing and environmental constraints, leading to reduced...
Research
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Securing medical images on the internet, in public or local networks is very important because they contain sensitive information about the well-being of patients and help health personnel to carry out diagnoses easily. Data Encryption Standard (DES) has been a popular algorithm used for image encryption due to its low memory consumption and good t...
Conference Paper
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Predicting a price variance rather than a specific value is more realistic and attractive in many real-world applications. Price prediction can be thought of as a classification issue in this situation. However, the House Price Index (HPI) is a common tool for estimating the inconsistencies of house prices. Since housing prices are closely correlat...
Article
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In recent years, researchers from both medical and computer sciences have combined their knowledge and efforts to diagnose brain tumor diseases using intelligent algorithms. However, existing brain tumor classification techniques produce high levels of misclassification which in turn cause inaccurate diagnosis of brain tumor. In this paper, we clas...
Article
Full-text available
Mobile agent as an internetworking paradigm has not being implemented from a security point of view using the Open Systems Interconnection (OSI) reference model. Hence, this work developed a security model using two levels (layers) of the OSI reference model namely: application and network. The two-level security was enhanced by an additional one-l...
Article
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Image segmentation still remains an important task in image processing and analysis. Sequel to any segmentation process, preprocessing activities carried out on the images have a great effect on the accuracy of the segmentation task. This paper therefore laid emphasis on the preprocessing stage of brain Magnetic Resonance Imaging (MRI) images Small...
Article
Full-text available
Security is a significant concern for mobile agent-based computing as mobile agents are vulnerable to malicious hosts and rogue agents. Existing models developed to secure agents, were not essentially evaluated to guarantee the desired level of security. Hence, this work aimed at implementing a cybersecurity approach for evaluating mobile agents us...
Article
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INTRODUCTION The erythrocytes are the most numerous blood cells in the human body, and it also called red blood cells. The red blood cell functions as a carrier of oxygen throughout our body. [1] The normal red blood cell in our body is divided into four categories of ages, which are newborn, children, women and men. The average amount of red blood...
Article
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Artificial neural networks are one of the widely used automated techniques. Though they yield high accuracy, most of the neural networks are computationally heavy due to their iterative nature. Hence, there is a significant requirement for a neural classifier which is computationally efficient and highly accurate. To this effect, a modified Counter...
Article
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Corn grains were fermented for three days and later drained and dried at 60 0 C, 65 0 C and 70 0 C in a convective hot air dryer. Kinetics of drying was investigated using Fick's second law. Drying pattern was observed to be in the falling rate period. Non linear regression analysis software (SPSS), was used to fit in the experimental data and the...
Article
Full-text available
Segmentation is an aspect of computer vision that deals with partitioning of an image into homogeneneous region. Medical image segmentation is an indispensable tool for medical image diagnoses. Geometric active contour (GAC) segmentation is one of the outstanding model used in machine learning community to solve the problem of medical image segment...
Article
Medical image segmentation is an initiative with tremendous usefulness. Biomedical and anatomical information are made easy to obtain as a result of success achieved in automating image segmentation. More research and work on it has enhanced more effectiveness as far as the subject is concerned. Several methods are employed for medical image segmen...

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