Fagbola Temitayo M.

Federal University Oye-Ekiti · Computer Science

The concerns for a potential future climate jeopardy has steered actions by youths globally to call the governments to immediately address challenges relating to climate change. In this paper, using natural language processing techniques in data science domain, we analyzed twitter micro-blogging streams to detect emotions and sentiments that surrou...

The human eye is a vital organ of vision useful for most daily activities. However, there are many diseases, including cataracts, glaucoma, diabetic retinopathy, age-related macular degeneration, and retinoblastoma, which affect the human eye and can lead to blindness when not diagnosed early for treatment. The advent of digital health techniques h...

Image compression refers to the reduction of digital image data to store or transmit images with less rate of distortion. It is the reduction of the quantity of graphical data required to represent a digital image. Medical images play an important role in providing detailed information about patient injuries, fractures and other critical issues rel...

The recurring global security insurgence has posed new opportunities for massive deployment of Video Surveillance Systems (VSS). However, videos captured by such systems suffer characterized Low Resolution (LR), varying illumination and pose challenges of subjects present in the videos. Consequently to manage these limitations, most existing Featur...

The increasing capability of AI-powered systems, including self-aware and unmanned systems, at automating simple to sophisticated tasks and their wide areas of real-world interventions in boosting productivity and enhancing competitiveness has offered transformative potentials leading to better quality of life. These systems have lately become an i...

Online social networks have been widely engaged as rich potential platforms to predict election outcomes' in several countries of the world. The vast amount of readily-available data on such platforms, coupled with the emerging power of natural language processing algorithms and tools, have made it possible to mine and generate foresight into the p...

News article classification is a recently growing area of interest in text classification because of its associated multiple matching categories. However, the weak reliability indices and ambiguities associated with state-of-the-art classifiers often employed make success in this domain very limited. Also, the high sensitivity and large disparity i...

Reconstruction Techniques are of great importance for reconstructing Low Resolution (LR) images to High Resolution (HR) images which are image reconstruction techniques constitute high image distortion which consequently increased their reconstruction error and reduced peak signal to noise ratio. This research developed a Disc Algebraic Back Projec...

Student performance modelling (SPM) is a critical step to assessing and improving students performances in their learning discourse. However, most existing SPM are based on statistical approaches, which on one hand are based on probability, depicting that results are based on estimation; and on the other hand, actual influences of hidden factors th...

The sudden rise in rural-to-urban migration has been a key challenge threatening food security and most especially the survival of Rabbit Farming and Production (RFP) in Sub-Saharan Africa. Currently, significant knowledge of RFP is going into extinction as evident by the drastic fall in commercial rabbit farming and production indices. Hence, the...

Sorting is a data structure operation involving a rearrangement of an unordered set of elements with witnessed real life applications for load balancing and energy conservation in distributed, grid and cloud computing environments. However, the rearrangement procedure often used by sorting algorithms differs and significantly impacts on their compu...

Vehicle Routing Problem with Time Windows (VRPTW) involves traversing a coordinated set of vehicular paths such that a set of customers is visited once within a given time-stamped boundary. VRPTW poses a great challenge to logistics distribution and supply chain management systems, due to its characterized stochastic and NP-hard combinatorial prope...

Resource allocation is a major problem being faced in most logistic economies in which managing the trade-off among distribution of a limited number of resources with largely varying demands pose a great challenge. This in turn has reduced the productivity and effectiveness of production companies due to increasing complexity of the resource alloca...

This paper presents a comparison between Iterative Back Projection (IBP) and Discrete Algebraic Reconstruction Technique (DART). In this experiment, images were acquired using a digital camera of 5Mega Pixel (MP). A total of 50 images were used. The Images were degraded by introducing noise, blur and shift in angle. DART and IBP were used to recons...

Student performance modelling (SPM) is a critical step to assessing and improving students’ performances in their learning discourse. However, most existing SPM are based on statistical approaches, which on one hand are based on probability, depicting that results are based on estimation; and on the other hand, actual influences of hidden factors t...

he academic performance of higher institution students in programming courses, especially in developing countries, has been observed to be poor. However, the fundamental factors that affect students’ performance in programming courses have not been exhaustively investigated. This paper investigates the factors influencing the performance of student...

Difficulties inherent in human face recognition from unconstrained and motion characterized scenes are usually accounted for due to varying illumination and pose of subjects in the scenes. However, a number of technical approaches have been developed to manage these nuisance factors to make recognition possible and optimal. In this paper, a review...

Large variation in facial appearances of the same individual makes most baseline Aging-Invariant Face Recognition Systems (AI-FRS) suffer from high automatic misclassification of faces. However, some Aging-Invariant Feature Extraction Techniques (AI-FET) for AI-FRS are emerging to help achieve good recognition results when compared to some baseline...

Mobile agent is a software object that migrates through many nodes of a heterogeneous network of computers under its own control in order to perform task using resources of these nodes, during the past several years, mobile agent has received significant attention. Not only in the wide range of commercial and law enforcement applications, but also...

A mobile agent is a software entity that migrates from one host to another, performing data collection and software configuration tasks on behalf of users in distributed networks. However, studies have shown that the existing pull – all data strategy of mobile agent migration pattern moves data from one host to the next host along with the mobile a...

Virtual patient (VP) systems are interactive computer simulations of real-life clinical scenarios for the purpose of medical training, education and assessment. There are limitations with the existing foreign VP systems which make them unsuitable for training indigenous Nigerian medical students. In this study, an Aboriginal Virtual Patient (AVP) s...

This study investigates the impact and challenges of the adoption of cloud computing by public universities in the Southwestern part of Nigeria. A sample size of 100 IT staff, 50 para-IT staff and 50 students were selected in each university using stratified sampling techniques with the aid of well-structured questionnaires. Microsoft excel was use...

The inadequacies inherent in the current defense mechanism of the mobile enterprise led to the development of new breed of security systems known as mobile intrusion detection system. The major worry of mobile / ubiquitous device users is the issue of data security since no mobile security application is 100% efficient. Existing studies conducted o...

In machine learning, feature selection is a problem of global combinatorial optimization resulting in poor predictions and high computational overhead due to irrelevant and redundant features in the dataset. The Support Vector Machine (SVM) is a classifier suitable to deal with feature problems but cannot efficiently handle large e-mail dataset. In...

The sporadic influx of mobile phones has posed new opportunities for the proliferation of robust user-centric applications for mobile users. Review of existing research works in herbal medicine reveals that the potential of mobile platforms has not been exploited to aid herbal medicine survival. In light of this, a mobile-oriented decision support...

Proliferation of robust user-centric applications has gained a significant growth due to widespread influx of mobile and web-enabled service-oriented devices. Today, a number of electronic prescribing applications (EPAs) are available on mobile and web platforms but user acceptability and satisfaction of the platform to access such applications is...

As flexible and online learning mediated by ICT becomes more pervasive, there is a growing need for educators to consider modes of assessment using similar tools. Computer Based Test (CBT) is an effective solution for mass education evaluation. Though, a variety of e-assessment approaches and systems have been developed in recent times, yet lack of...

Image analysis is a process of deriving object description from its image. It is of great theoretical and practical importance in the pattern recognition and image-based security systems domain. Image clustering is the partitioning of an image into the meaningful regions (image classes), based upon the properties of the pixel images, tone and textu...

The currently recurring and alarming global security challenges have led to the development and use of biometric modalities for access control and human recognition. Though a number of biometrics have been proposed, researched and evaluated for human recognition and access control applications; it becomes evident that each biometrics has its streng...

Feature selection is a problem of global combinatorial optimization in machine learning in which subsets of relevant features are selected to realize robust learning models. The inclusion of irrelevant and redundant features in the dataset can result in poor predictions and high computational overhead. Thus, selecting relevant feature subsets can h...

Visualization is the graphical or semi-graphical representation of information that aids human comprehension of and reasoning about that information. Visualization tools are critically important for creating, querying, visualizing and validating Semantic Web Data. Semantic Web, an efficient infrastructure that enhances visibility of knowledge on th...

The availability, accessibility and use of Information and Communication Technology tools for health care service delivery has been observed as the steering agents that facilitate the realization of major health care system objectives including accessibility, availability, affordability and quality of health care which are principal determinants of...

This work details the performance evaluation of simulated annealing (SA) and genetic algorithm (GA) in terms of their software complexity measurement and simulation time in solving a typical University examination timetabling problem (ETP). Preparation of a timetable consists basically of allocating a number of events to a finite number of time per...

To investigate the similarities and differences between cloud and ubiquitous computing systems, we carried out an exploratory study on the two computing paradigms. Cloud computing provides the next generation of internet based, highly scalable distributed computing systems in which computational resources are offered as a service. It is a new compu...