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View article: Predicting Maternal Outcomes Using Tree-based Methods in Machine Learning
Predicting Maternal Outcomes Using Tree-based Methods in Machine Learning Open
Maternal health, with its global significance for maternal mortality rates, is a paramount concern. This study focuses on leveraging tree-based algorithms to aid healthcare providers in informed decision-making for expectant mothers. Analy…
View article: Meta-Analysis of Predictive Modelling Approaches and Systematic Reviews for Maternal Healthcare Outcomes
Meta-Analysis of Predictive Modelling Approaches and Systematic Reviews for Maternal Healthcare Outcomes Open
Enhancing parental care is of utmost importance in ensuring the well-being of pregnant women throughout theirpregnancy and childbirth journey. Although there have been significant advancements in this area, persistent challenges such as in…
View article: Unlocking Maternal Outcome Prediction Potential: A Comprehensive Analysis of the ConvXGB Model Integrating XGBoost and Deep Learning
Unlocking Maternal Outcome Prediction Potential: A Comprehensive Analysis of the ConvXGB Model Integrating XGBoost and Deep Learning Open
The significance of maternal health cannot be overemphasized, and the ability to predict maternal outcomes accurately is critical to ensuring the well-being of both mothers and infants. This study presents ConvXGB, a novel predictive model…
View article: Unlocking Maternal Outcome Prediction Potential: A Comprehensive Analysis of the ConvXGB Model Integrating XGBoost and Deep Learning” at Evolving Systems.
Unlocking Maternal Outcome Prediction Potential: A Comprehensive Analysis of the ConvXGB Model Integrating XGBoost and Deep Learning” at Evolving Systems. Open
The significance of maternal health cannot be overemphasized, and the ability to predict maternal outcomes accurately is critical to ensuring the well-being of both mothers and infants. This study presents ConvXGB, a novel predictive model…
View article: Enhancing Maternal Outcome Prediction Using Explainable Artificial Intelligence for Women of Childbearing Age
Enhancing Maternal Outcome Prediction Using Explainable Artificial Intelligence for Women of Childbearing Age Open
Our research has identified a significant shift in the utilization of machine learning models for prediction and decision-making. Rather than solely relying on these models, there is now a growing focus on their explainability and interpre…
View article: Elliptic interval Type-2 intuitionistic fuzzy logic system for non-linear system identification
Elliptic interval Type-2 intuitionistic fuzzy logic system for non-linear system identification Open
An elliptic membership function has been proposed in the literature for interval type-2 fuzzy logic system. In this paper, elliptic non- membership function is incorporated into the conventional elliptic membership function model to obtain…
View article: A Dataset-Driven Parameter Tuning Approach for Enhanced K-Nearest Neighbour Algorithm Performance
A Dataset-Driven Parameter Tuning Approach for Enhanced K-Nearest Neighbour Algorithm Performance Open
The number of Neighbours (k) and distance measure (DM) are widely modified for improved kNN performance. This work investigates the joint effect of these parameters in conjunction with dataset characteristics (DC) on kNN performance. Eucli…
View article: Prediction of COVID-19 Time Series – Case Studies of South Africa and Egypt using Interval Type-2 Fuzzy Logic System
Prediction of COVID-19 Time Series – Case Studies of South Africa and Egypt using Interval Type-2 Fuzzy Logic System Open
COVID-19 is a virus known to emanate from Wuhan, China in December 2019. COVID-19 spread widely to nearby countries like Japan and Korea, followed by Europe and America and later to Africa. Particularly, South Africa and Egypt have been wo…
View article: Intuitionistic fuzzy Logic System and its Application to Global Carbon Dioxide Emissions Prediction
Intuitionistic fuzzy Logic System and its Application to Global Carbon Dioxide Emissions Prediction Open
In this study, a Takagi-Sugeno-Kang based intuitionistic fuzzy logic system is proposed for the prediction of global carbon dioxide emission for the first time. The intuitionistic fuzzy logic system is an integration of artificial neural n…
View article: Software Fault Prediction Based on Interval Type-2 Intuitionistic Fuzzy Logic System
Software Fault Prediction Based on Interval Type-2 Intuitionistic Fuzzy Logic System Open
With the continuous expansion and innovations in modern software development, the rate at which defects are present in software is directly proportional to how sophisticated and complex the software tends to be.Software fault prediction th…
View article: Using interval type-2 fuzzy logic to analyze Igbo emotion words
Using interval type-2 fuzzy logic to analyze Igbo emotion words Open
Several attempts had been made to analyze emotion words in the fields of linguistics, psychology and sociology; with the advent of computers, the analyses of these words have taken a different dimension. Unfortunately, limited attempts hav…
View article: Interval Type-2 Intuitionistic Fuzzy Logic System for Time Series and Identification Problems - A Comparative Study
Interval Type-2 Intuitionistic Fuzzy Logic System for Time Series and Identification Problems - A Comparative Study Open
This paper proposes a sliding mode control-based learning of interval type-2 intuitionistic fuzzy logic system for time series and identification problems. Until now, derivative-based algorithms such as gradient descent back propagation, e…
View article: Optimization of Interval Type-2 Fuzzy Logic System for Software Reliability Prediction
Optimization of Interval Type-2 Fuzzy Logic System for Software Reliability Prediction Open
Since real world application is fraught with high amount of uncertainty, such as applicable to software reliability, there should be a method of handling the uncertainty.This paper presents a model to properly handle uncertainty in softwar…
View article: Interval Type-2 Intuitionistic Fuzzy Logic System for Forecasting the Electricity Load
Interval Type-2 Intuitionistic Fuzzy Logic System for Forecasting the Electricity Load Open
A study on load forecasting prediction is important for efficient management of users' demands for any utility such as electricity and gas.Many computational intelligence approaches have been adopted for electricity load forecasts.For inst…
View article: Comparing Performance Potentials of Classical and Intuitionistic Fuzzy Systems in Terms of <i>Sculpting the State Space</i>
Comparing Performance Potentials of Classical and Intuitionistic Fuzzy Systems in Terms of <i>Sculpting the State Space</i> Open
This paper provides new application-independent perspectives about the performance potential of an intuitionistic (I-) fuzzy system over a (classical) TSK fuzzy system. It does this by extending sculpting the state space works from a TSK f…
View article: Interval type-2 Atanassov-intuitionistic fuzzy logic for uncertainty modelling
Interval type-2 Atanassov-intuitionistic fuzzy logic for uncertainty modelling Open
This thesis investigates a new paradigm for uncertainty modelling by employing a new class of type-2 fuzzy logic system that utilises fuzzy sets with membership and non-membership functions that are intervals. Fuzzy logic systems, employin…
View article: Hybrid Learning for Interval Type-2 Intuitionistic Fuzzy Logic Systems as Applied to Identification and Prediction Problems
Hybrid Learning for Interval Type-2 Intuitionistic Fuzzy Logic Systems as Applied to Identification and Prediction Problems Open
This paper presents a novel application of a hybrid learning approach to the optimisation of membership and nonmembership functions of a newly developed interval type-2 intuitionistic fuzzy logic system (IT2 IFLS) of a Takagi-Sugeno-Kang (…
View article: An Intelligent Call Admission Controller for Guaranteed QoS in 4G Mobile Networks Full Text
An Intelligent Call Admission Controller for Guaranteed QoS in 4G Mobile Networks Full Text Open
Call admission control (CAC), a resource management function, is required to regulate network access to provide the required levels of QoS to emerging services in Fourth Generation (4G) mobile networks. However, CAC is one of the challengi…
View article: An Intelligent Call Admission Controller for Guaranteed QoS in 4G Mobile Networks
An Intelligent Call Admission Controller for Guaranteed QoS in 4G Mobile Networks Open
Call admission control (CAC), a resource management function, is required to regulate network access to provide the required levels of QoS to emerging services in Fourth Generation (4G) mobile networks. However, CAC is one of the challengi…
View article: Interval Type-2 A-Intuitionistic Fuzzy Logic for Regression Problems
Interval Type-2 A-Intuitionistic Fuzzy Logic for Regression Problems Open
This paper presents an approach to prediction based on a new interval type-2 Atanassov-intuitionistic fuzzy logic system (IT2AIFLS) of Takagi-Sugeno-Kang (TSK) fuzzy inference with neural network learning capability. The gradient descent (…
View article: Extended Kalman filter-based learning of interval type-2 intuitionistic fuzzy logic system
Extended Kalman filter-based learning of interval type-2 intuitionistic fuzzy logic system Open
Fuzzy logic systems have been extensively applied for solving many real world application problems because they are found to be universal approximators and many methods, particularly, gradient descent (GD) methods have been widely adopted …
View article: Machine learning and statistical approaches to classification – a case study
Machine learning and statistical approaches to classification – a case study Open
The advent of information technology has led to the proliferation of data in disparate databases. Organisations have become data rich but knowledge poor. Users need efficient analysis tools to help them understand their data, predict futur…
View article: An Interval Type-2 Fuzzy Logic Based Framework for Call Admission Control in 4G Mobile Networks
An Interval Type-2 Fuzzy Logic Based Framework for Call Admission Control in 4G Mobile Networks Open
This paper presents a technique to control based on interval type-2 fuzzy logic system (IT2FLS) of Mamdani fuzzy inference, employed to model connection admission control in FourthGeneration (4G) Networks in order to improve quality of ser…
View article: Time series forecasting with interval type-2 intuitionistic fuzzy logic systems
Time series forecasting with interval type-2 intuitionistic fuzzy logic systems Open
Conventional fuzzy time series approaches make use of type-1 or type-2 fuzzy models. Type-1 models with one index (membership grade) cannot fully handle the level of uncertainty inherent in many real world applications. The type-2 models w…
View article: 3D segmentation of the whole heart vasculature using improved multi-threshold Otsu and white top-hat scale space hessian based vessel filter
3D segmentation of the whole heart vasculature using improved multi-threshold Otsu and white top-hat scale space hessian based vessel filter Open
Quantification of vessel density helps to know the stage of the disease during diagnosis and patient's response to treatment. However, this requires presence of all vessels in the image. The available segmentation techniques that are manua…