Udoinyang G. Inyang
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View article: Deep neural network analysis of coronavirus disease historical cases
Deep neural network analysis of coronavirus disease historical cases Open
COVID-19 represents a contemporary pandemic driven by highly contagious severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2. Nigeria had a share in this pandemic as the disease ravaged most parts of the country, leading to serious …
View article: Cross-Encoder-Based Semantic Evaluation of Extractive and Generative Question Answering in Low-Resourced African Languages
Cross-Encoder-Based Semantic Evaluation of Extractive and Generative Question Answering in Low-Resourced African Languages Open
Efficient language analysis techniques and models are crucial in the artificial intelligence age for enhancing cross-lingual question answering. Transfer learning with state-of-the-art models has been beneficial in this regard, but the per…
View article: Mathematical Modelling and Computational Dynamics of the impact of Quasi-Lockdown Policy in Control of COVID-19 in Akwa Ibom State, Nigeria
Mathematical Modelling and Computational Dynamics of the impact of Quasi-Lockdown Policy in Control of COVID-19 in Akwa Ibom State, Nigeria Open
Determining the impact of a local control strategy, implemented to curtail the spread of COVID-19 has become obligatory to enable policy makers to combat the so-called long covid. This research used a deterministic SEIAHR-model, incorporat…
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: Computational Nonlinear Dynamics: Analysis and Assessment in Optimal Control of COVID-19 in Akwa Ibom State, Nigeria
Computational Nonlinear Dynamics: Analysis and Assessment in Optimal Control of COVID-19 in Akwa Ibom State, Nigeria Open
World Health Organization(WHO) instigates a continuous alertness and preparation to contain re emergence of other variants of corona viruses. In the same vein, public welfare managements in allocating health related resources require predi…
View article: Probabilistic Population Modeling with Interactions between Species
Probabilistic Population Modeling with Interactions between Species Open
The probabilistic population model with interactions between species will be developed. We use predator-prey interaction to come up with a system of probabilistic differential equations. By accepting a series of assumptions that may govern…
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: The Use of Machine Learning in Oil Well Petrophysics and Original Oil in Place Estimation: A Systematic Literature Review Approach
The Use of Machine Learning in Oil Well Petrophysics and Original Oil in Place Estimation: A Systematic Literature Review Approach Open
Machine learning is a form of artificial intelligence that is applicable in all fields of study. It incorporates many algorithms used in carrying out various tasks such as classification, predictions, estimations, comparisons, approximatio…
View article: A Comparison of Two Machine Learning Techniques for the Prediction of Initial Oil in Place in the Niger Delta Region
A Comparison of Two Machine Learning Techniques for the Prediction of Initial Oil in Place in the Niger Delta Region Open
Conventionally, the knowledge of experts on the drilling features of a potential oil well is practically used to predict the volume of initial oil in place. Experts used different knowledge-based models such as volumetric, material balanci…
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: Homogenous Multiple Classifier System for Software Quality Assessment Based on Support Vector Machine
Homogenous Multiple Classifier System for Software Quality Assessment Based on Support Vector Machine Open
In today's society, almost all human endeavours depend on software products. Lack of quality software is one of the software industry's most important problems. Hence, it would be beneficial to access the quality of software to imp…
View article: A Hybrid Computational Framework for Intelligent Inter- continent SARS-CoV-2 Sub-strains Characterization and Prediction
A Hybrid Computational Framework for Intelligent Inter- continent SARS-CoV-2 Sub-strains Characterization and Prediction Open
Whereas accelerated attention beclouded early stages of the coronavirus spread, knowledge of actual pathogenicity and origin of possible sub-strains remained unclear. By harvesting the Global initiative on Sharing All Influenza Data (GISAI…
View article: Real Time Viral Sub-Strains Discovery in Emerging Infectious Disease Situation – The African Perspective
Real Time Viral Sub-Strains Discovery in Emerging Infectious Disease Situation – The African Perspective Open
Background: The increased number of accessible genomes has prompted large-scale comparative studies for decerning evolutionary knowledge of infectious diseases, but challenges such as non-availability of close reference sequence(s), incomp…
View article: Real Time Viral Sub-Strains Discovery in Emerging Infectious Disease Situation – The African Perspective
Real Time Viral Sub-Strains Discovery in Emerging Infectious Disease Situation – The African Perspective Open
Background: The increased number of accessible genomes has prompted large-scale comparative studies for discerning evolutionary knowledge of infectious diseases, but challenges such as non-availability of close reference sequence(s), incom…
View article: Real Time Viral Sub-Strains Discovery in Emerging Infectious Disease Situation – The African Perspective
Real Time Viral Sub-Strains Discovery in Emerging Infectious Disease Situation – The African Perspective Open
BackgroundThe increased number of accessible genomes has prompted large-scale comparative studies for decerning evolutionary knowledge of infectious diseases, but challenges such as non-availability of close reference sequence(s), incomple…
View article: A Hybrid Computational Framework for Intelligent Inter-continent SARS-CoV-2 Sub-strains Characterization and Prediction
A Hybrid Computational Framework for Intelligent Inter-continent SARS-CoV-2 Sub-strains Characterization and Prediction Open
Whereas accelerated attention beclouded early stages of the coronavirus spread, knowledge of actual pathogenicity and origin of possible sub-strains remained unclear. By harvesting the Global initiative on Sharing All Influenza Data (GISAI…
View article: A Hybrid Computational Framework for Intelligent Inter-continent SARS-CoV-2 Sub-strains Characterization and Prediction
A Hybrid Computational Framework for Intelligent Inter-continent SARS-CoV-2 Sub-strains Characterization and Prediction Open
Whereas accelerated attention beclouded early stages of the coronavirus spread, knowledge of actual pathogenicity and origin of possible sub-strains remained unclear. By harvesting the Global initiative on Sharing All Influenza Data (GISAI…
View article: Comparative Analytics of Classifiers on Resampled Datasets for Pregnancy Outcome Prediction
Comparative Analytics of Classifiers on Resampled Datasets for Pregnancy Outcome Prediction Open
The main challenges of predictive analytics revolve around the handling of datasets, especially the disproportionate distribution of instances among classes in addition to classifier-suitability issues. This unequal spread causes imbalance…
View article: Interval Type-2 Fuzzy Logic for Fire Outbreak Detection
Interval Type-2 Fuzzy Logic for Fire Outbreak Detection Open
This paper employed an Interval Type-2 Fuzzy Logic (IT2FL) in the detection of fire outbreak using environmental parameters.Fire outbreak data capturing device (FODCD) is developed and used in capturing environmental parameter values.The F…
View article: Unsupervised Characterization and Visualization of Students’ Academic Performance Features
Unsupervised Characterization and Visualization of Students’ Academic Performance Features Open
The large nature of students’ dataset has made it difficult to find patterns associated with students’ academic performance (AP) using conventional methods. This has increased the rate of drop-outs, graduands with weak class of…
View article: Design of a hybrid intelligent system for the management of flood disaster risks
Design of a hybrid intelligent system for the management of flood disaster risks Open
The frequency of occurrence and intensity of floods is a huge threat to environment, human existence, critical infrastructure and economy. Flood risk assessments depend on probabilistic approaches and suffer from non-existence of appropria…
View article: A Formal Ontology-based Framework Towards an Intelligent Temporal Scheduler
A Formal Ontology-based Framework Towards an Intelligent Temporal Scheduler Open
Time scheduling as seen in timetabling processes with few and/or competing resources has exposed complex interoperable time scheduling.Attempts to resolving these time scheduling processes has been undertaken, using several classical metho…
View article: Current prevalence of falciparum malarial infection among HIV patients on highly active antiretroviral therapy in university of Uyo teaching hospital, Uyo Nigeria
Current prevalence of falciparum malarial infection among HIV patients on highly active antiretroviral therapy in university of Uyo teaching hospital, Uyo Nigeria Open
Background: Malaria and HIV remain two leading causes of morbidity and mortality to patients in developing African countries. Both infectious diseases have been documented to account for an enormous morbidity and mortality in Sub-Saharan A…
View article: Wireless LAN Service Quality Optimization in Academic Environments
Wireless LAN Service Quality Optimization in Academic Environments Open
This paper targets optimized service quality (SQ) – a metric that compares the perceived performance by users with the expected performance – sufficient to satisfy users’ quality of experience (QoE). The perceived performance was obtained …
View article: Unsupervised Learning Framework for Customer Requisition and Behavioral Pattern Classification
Unsupervised Learning Framework for Customer Requisition and Behavioral Pattern Classification Open
Maintaining healthy organization-customers relationship has positive influence on customers’ behavioral tendencies as regards preference to products and services, buying behavior, loyalty, satisfaction, and so on. To achieve this, an in-de…
View article: Discrete event based hybrid framework for petroleum products pipeline activities classification
Discrete event based hybrid framework for petroleum products pipeline activities classification Open
The importance of timely detection, classification and response to anomalies on petroleum products pipeline (PPP) have attracted pragmatic researches in recent times. There is need for efficient monitoring and detection of activities on PP…