Computer Science
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An assessment of the component-based view for metaheuristic research.
(2023)Several authors have recently pointed to a crisis within the metaheuristic research field, particularly the proliferation of metaphor-inspired metaheuristics. Common problems identified include using non-standard ... -
Policy optimisation and generalisation for reinforcement learning agents in sparse reward navigation environments.
(2021)Sparse reward environments are prevalent in the real world and training reinforcement learning agents in them remains a substantial challenge. Two particularly pertinent problems in these environments are policy optimisation ... -
A patch-based convolutional neural network for localized MRI brain segmentation.
(2020)Accurate segmentation of the brain is an important prerequisite for effective diagnosis, treatment planning, and patient monitoring. The use of manual Magnetic Resonance Imaging (MRI) segmentation in treating brain medical ... -
Irenbus - a real-time machine learning based public transport management system.
(2020)The era of Big Data and the Internet of Things is upon us, and it is time for developing countries to take advantage of and pragmatically apply these ideas to solve real-world problems. As the saying goes, "data is the ... -
Structure based partial solution search for the examination timetabling problem.
(2021)The aim of this work is to present a new approach, namely, Structure Based Partial Solution Search (SBPSS) to solve the Examination Timetabling Problem. The success of the Developmental Approach in this problem domain ... -
Optimized deep learning model for early detection and classification of lung cancer on CT images.
(2022)Recently, researchers have shown an increased interest in the early diagnosis and detection of lung cancer using the characteristics of computed tomography (CT) images. The accurate classification of lung cancer assists ... -
Possible Models Diagrams - a new approach to teaching propositional logic.
(1994)Abstract available in PDF. -
Tuberculosis diagnosis from pulmonary chest x-ray using deep learning.
(2022)Tuberculosis (TB) remains a life-threatening disease, and it is one of the leading causes of mortality in developing countries. This is due to poverty and inadequate medical resources. While treatment for TB is possible, ... -
Addressing traffic congestion and throughput through optimization.
(2021)Traffic congestion experienced in port precincts have become prevalent in recent years for South Africa and internationally [1, 2, 3]. In addition to the environmental impacts of air pollution due to this challenge, ... -
Automatic dental caries detection in bitewing radiographs.
(2022)Dental Caries is one of the most prevalent chronic disease around the globe. Distinguishing carious lesions has been a challenging task. Conventional computer aided diagnosis and detection methods in the past have heavily ... -
Facial expression recognition and intensity estimation.
(2022)Facial Expression is one of the profound non-verbal channels through which human emotion state is inferred from the deformation or movement of face components when facial muscles are activated. Facial Expression Recognition ... -
The adoption of Web 2.0 tools in teaching and learning by in-service secondary school teachers: the Mauritian context.
(2018)With the current rapid increase in use of Web 2.0 tools by students, it is becoming necessary for teachers to understand what is happening in this social networking phenomenon, so that they can better understand the new ... -
Network intrusion detection using genetic programming.
(2018)Network intrusion detection is a real-world problem that involves detecting intrusions on a computer network. Detecting whether a network connection is intrusive or non-intrusive is essentially a binary classification ... -
Automated design of genetic programming of classification algorithms.
(2018)Over the past decades, there has been an increase in the use of evolutionary algorithms (EAs) for data mining and knowledge discovery in a wide range of application domains. Data classification, a real-world application ... -
An evaluation of depth camera-based hand pose recognition for virtual reality systems.
(2018)Camera-based hand gesture recognition for interaction in virtual reality systems promises to provide a more immersive and less distracting means of input than the usual hand-held controllers. It is unknown if a camera ... -
Hybrid component-based face recognition.
(2018)Facial recognition (FR) is the trusted biometric method for authentication. Compared to other biometrics such as signature; which can be compromised, facial recognition is non-intrusive and it can be apprehended at a ... -
An analysis of algorithms to estimate the characteristics of the underlying population in Massively Parallel Pyrosequencing data.
(2011)Massively Parallel Pyrosequencing (MPP) is a next generation DNA sequencing technique that is becoming ubiquitous because it is considerably faster, cheaper and produces a higher throughput than long established ... -
The enhanced best performance algorithm for global optimization with applications.
(2016)Abstract available in PDF file. -
Improved techniques for phishing email detection based on random forest and firefly-based support vector machine learning algorithms.
(2014)Electronic fraud is one of the major challenges faced by the vast majority of online internet users today. Curbing this menace is not an easy task, primarily because of the rapid rate at which fraudsters ...
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