Ernest Mnkandla
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View article: Optimizing DNA Sequence Classification via a Deep Learning Hybrid of LSTM and CNN Architecture
Optimizing DNA Sequence Classification via a Deep Learning Hybrid of LSTM and CNN Architecture Open
This study addresses the performance of deep learning models for predicting human DNA sequence classification through an exploration of ideal feature representation, model architecture, and hyperparameter tuning. It contrasts traditional m…
View article: Spatio-temporal; Artificial Intelligence; Multi-Hazard Risk Mapping; Renewable Energy Sitting; Multi-objective Optimization
Spatio-temporal; Artificial Intelligence; Multi-Hazard Risk Mapping; Renewable Energy Sitting; Multi-objective Optimization Open
The siting of renewable energy systems (RES) in regions vulnerable to multiple climate hazards presents a critical challenge for sustainable infrastructure planning. Traditional approaches, primarily driven by static assessments of solar a…
View article: Harnessing Ensemble Deep Learning for DNA Sequence Classification: Evaluating CNN, BiLSTM, and GRU Architectures
Harnessing Ensemble Deep Learning for DNA Sequence Classification: Evaluating CNN, BiLSTM, and GRU Architectures Open
In this paper, we present a comprehensive analysis of ensemble deep learning models for DNA sequence classification. We explore the performance of three standalone models: Convolutional Neural Networks (CNN), Bidirectional Long Short-Term …
View article: Active Contours Connected Component Analysis Segmentation Method of Cancerous Lesions in Unsupervised Breast Histology Images
Active Contours Connected Component Analysis Segmentation Method of Cancerous Lesions in Unsupervised Breast Histology Images Open
Automatic segmentation of nuclei on breast cancer histology images is a basic and important step for diagnosis in a computer-aided diagnostic approach and helps pathologists discover cancer early. Nuclei segmentation remains a challenging …
View article: Automatic Blob Detection Method for Cancerous Lesions in Unsupervised Breast Histology Images
Automatic Blob Detection Method for Cancerous Lesions in Unsupervised Breast Histology Images Open
The early detection of cancerous lesions is a challenging task given the cancer biology and the variability in tissue characteristics, thus rendering medical image analysis tedious and time-inefficient. In the past, conventional computer-a…
View article: Predicting Residential Energy Consumption in South Africa Using Ensemble Models
Predicting Residential Energy Consumption in South Africa Using Ensemble Models Open
This study presents ensemble machine learning (ML) models for predicting residential energy consumption in South Africa. By combining the best features of individual ML models, ensemble models reduce the drawbacks of each model and improve…
View article: Investigation of Deep Learning Techniques Used in Medicinal Plants Identification and Classification
Investigation of Deep Learning Techniques Used in Medicinal Plants Identification and Classification Open
View article: A review of practices suitable for ethics-aware software engineering
A review of practices suitable for ethics-aware software engineering Open
View article: Automatic Watershed Segmentation of Cancerous Lesions in Unsupervised Breast Histology Images
Automatic Watershed Segmentation of Cancerous Lesions in Unsupervised Breast Histology Images Open
Segmentation of nuclei in histology images is key in analyzing and quantifying morphology changes of nuclei features and tissue structures. Conventional diagnosis, segmenting, and detection methods have relied heavily on the manual-visual …
View article: PdM-FSA: predictive maintenance framework with fault severity awareness in Industry 4.0 using machine learning
PdM-FSA: predictive maintenance framework with fault severity awareness in Industry 4.0 using machine learning Open
Predictive maintenance contributes to Industry 4.0, as it enables a decrease in maintenance costs and downtime while aiming to increase production and return on investment. Despite the increasing utilization of machine learning techniques …
View article: Predictive Model of Energy Consumption Using Machine Learning: A Case Study of Residential Buildings in South Africa
Predictive Model of Energy Consumption Using Machine Learning: A Case Study of Residential Buildings in South Africa Open
The recurrent load shedding crisis in South Africa has highlighted the need to accurately predict electricity consumption for residential buildings. This has significant ramifications for daily life and economic productivity. To address th…
View article: Using the PMO to enforce and standardize the attention of software project managers to needs of software project teams
Using the PMO to enforce and standardize the attention of software project managers to needs of software project teams Open
Software project teams (SPTs) are critical stakeholders. Their contribution in successful delivery of software projects is unquestionable. However, the empirical evidence of their importance seems to exist on paper only, as software projec…
View article: SYSTEMATIC LITERATURE REVIEW OF IOT METRICS
SYSTEMATIC LITERATURE REVIEW OF IOT METRICS Open
The Internet of Things (IoT) touches almost every aspect of modern society and has changed the way people live, work, travel and, do business. Because of its importance, it is essential to ensure that an IoT system is performing well, as d…
View article: Evaluation of IoT Measurement Solutions from a Metrology Perspective
Evaluation of IoT Measurement Solutions from a Metrology Perspective Open
To professionally plan and manage the development and evolution
\nof the Internet of Things (IoT), researchers have proposed several IoT performance
\nmeasurement solutions. IoT performance measurement solutions
\ncan be very valuable for …
View article: Application of Artificial Neural Network into Manufacturing Processes
Application of Artificial Neural Network into Manufacturing Processes Open
The neural network model is an advanced and effective tool aims at simulating the manufacturing operations. An important number of researchers have utilized artificial neural network (ANN) to optimising multiple response metrics in manufac…
View article: A Theoretical Artificial Intelligence Framework for Electricity Generation Life Cycle
A Theoretical Artificial Intelligence Framework for Electricity Generation Life Cycle Open
The global economic growth heavily lies on the manufacturing sector. However, over the past decade, manufacturing sector in general has been facing a serious production downturn, hence, operating below its capacity mostly due to its ineffi…
View article: The role of the PMO in enforcing and standardizing attendance to the needs of software project teams by project managers
The role of the PMO in enforcing and standardizing attendance to the needs of software project teams by project managers Open
Despite their critical role in project success, software project teams (SPTs) remain the most neglected key stakeholder group by software project managers (SPMs) and researchers in the project management field. The needs and interests of S…
View article: Manufacturing Industry in the Age of Fourth Industrial Revolution using a Dematel Approach
Manufacturing Industry in the Age of Fourth Industrial Revolution using a Dematel Approach Open
View article: A Theoretical Artificial Intelligence Framework for Electricity Generation Life Cycle
A Theoretical Artificial Intelligence Framework for Electricity Generation Life Cycle Open
View article: A model for assisting software project managers to treat project teams as key stakeholders: What do experts say?
A model for assisting software project managers to treat project teams as key stakeholders: What do experts say? Open
Project teams (PTs) are critical resources in the success of projects in the Information and Communication Technology (ICT) sector, as projects in this sector are highly dependent on human resources. Numerous researchers have written about…
View article: Adult First-time User of Handheld Computer System: Challenges
Adult First-time User of Handheld Computer System: Challenges Open
View article: A Novel Lightweight Solo Software Development Methodology With Optimum Security Practices
A Novel Lightweight Solo Software Development Methodology With Optimum Security Practices Open
The diffusion of software into all areas of life and all forms of business, increases the demand for high-quality and secure software products. Software development methodologies are designed to improve the quality of software by incorpora…
View article: Computer Usability: Interactive Challenges Faced by Less Experienced Computer Users in South Africa
Computer Usability: Interactive Challenges Faced by Less Experienced Computer Users in South Africa Open
View article: Adult First-Time User of Handheld Computing Systems: Assessing Ux
Adult First-Time User of Handheld Computing Systems: Assessing Ux Open
The advent of computing systems has changed many aspects of our daily lives and routines; including the way we communicate, entertain, navigate, travel, study, generate knowledge, seek medical help, and relax. Initially, computer systems d…
View article: Evaluating UX using a Metric Model: the Case of a Handheld Computing System in South Africa
Evaluating UX using a Metric Model: the Case of a Handheld Computing System in South Africa Open
For most experienced graphical user interface (GUI) and interactive designers, succeeding in acquiring, maintaining, and guiding potential high-level user engagement and user experience (UX) at the first attempt is often a dream. It often …
View article: Good Or Poor Design: Comprehending Ux From an Interactive Designer Perspective, the Case of Handheld Devices
Good Or Poor Design: Comprehending Ux From an Interactive Designer Perspective, the Case of Handheld Devices Open
The terms “system interaction”, “system design”, “interface development”, and “GUI design” may sound different, but in reality could well mean the same thing. A computing system is a set of algorithms which are computer-readable only and w…
View article: Factors that contribute significantly to Scrum adoption
Factors that contribute significantly to Scrum adoption Open
Scrum is the most adopted Agile methodology.The research conducted on Scrum adoption is mainly qualitative and there is therefore a need for a quantitative study on Scrum adoption challenges.The primary objective of this paper is to presen…
View article: Agile methodology perceived success and its use: The moderating effect of perceived compatibility
Agile methodology perceived success and its use: The moderating effect of perceived compatibility Open
This article investigated the moderating effect of the perceived compatibility of agile methodologies in determining the actual success of a methodology. The researchers conceptualised the agile methodology perceived success by using cost,…
View article: Scrum Adoption Challenges Detection Model: SACDM
Scrum Adoption Challenges Detection Model: SACDM Open
Scrum has been the most widely adopted Agile methodology over the past decade with Scrum and Scrum variants offering alternatives to the old software development methods.While Scrum plays an important role in the success of Agile developme…
View article: El uso de redes sociales en el aprendizaje a distancia: metasíntesis
El uso de redes sociales en el aprendizaje a distancia: metasíntesis Open
La aceptación de las redes sociales en el aprendizaje en línea supone el final de la educación a distancia como la conocemos en la educación superior, aunque en apariencia han tenido un impacto mínimo en la forma en que las instituciones d…