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View article: Predicting Predisposition to Tropical Diseases in Female Adults Using Risk Factors: An Explainable-Machine Learning Approach
Predicting Predisposition to Tropical Diseases in Female Adults Using Risk Factors: An Explainable-Machine Learning Approach Open
Malaria, typhoid fever, respiratory tract infections, and urinary tract infections significantly impact women, especially in remote, resource-constrained settings, due to limited access to quality healthcare and certain risk factors. Most …
View article: Developing an Explainable Artificial Intelligence System for the Mobile-Based Diagnosis of Febrile Diseases Using Random Forest, LIME, and GPT
Developing an Explainable Artificial Intelligence System for the Mobile-Based Diagnosis of Febrile Diseases Using Random Forest, LIME, and GPT Open
Objectives: This study proposes a mobile-based explainable artificial intelligence (XAI) platform designed for diagnosing febrile illnesses.Methods: We integrated the interpretability offered by local interpretable model-agnostic explanati…
View article: Predicting Predisposition to Tropical Diseases in Female Adults Using Risk Factors: An Explainable-Machine Learning Approach
Predicting Predisposition to Tropical Diseases in Female Adults Using Risk Factors: An Explainable-Machine Learning Approach Open
Malaria, typhoid fever, respiratory tract infections, and urinary tract infections significantly impact women, especially in remote, resource-constrained settings, due to limited access to quality healthcare and certain risk factors. Most …
View article: Feature Engineering for Agile Requirement Management Using Semantic Analysis
Feature Engineering for Agile Requirement Management Using Semantic Analysis Open
Efficient management and prioritization of software requirements are critical challenges in agile projects, where requirements constantly evolve due to changing user needs, business goals, and regulatory updates. This paper explores the ro…
View article: Enhancing the Interpretability of Malaria and Typhoid Diagnosis with Explainable AI and Large Language Models
Enhancing the Interpretability of Malaria and Typhoid Diagnosis with Explainable AI and Large Language Models Open
Malaria and Typhoid fever are prevalent diseases in tropical regions, and both are exacerbated by unclear protocols, drug resistance, and environmental factors. Prompt and accurate diagnosis is crucial to improve accessibility and reduce m…
View article: Feasibility Testing of an Application to Improve the Diagnosis and Management of Febrile Illnesses by Frontline Health Workers in Low- and Middle-Income Countries
Feasibility Testing of an Application to Improve the Diagnosis and Management of Febrile Illnesses by Frontline Health Workers in Low- and Middle-Income Countries Open
Background The Febra Diagnostica App (Febra App) is an intelligent medical decision support system for diagnosing and managing febrile illnesses among frontline health workers (FHWs). It addresses the global health workforce shortage, espe…
View article: An Integrated Fuzzy-Rule and Case-Based Reasoning System for Enhanced Automobile Maintenance and Repair
An Integrated Fuzzy-Rule and Case-Based Reasoning System for Enhanced Automobile Maintenance and Repair Open
Automated systems have become essential in assisting motorists with vehicle maintenance and repair, yet many still require technician intervention for output validation. This study introduces a novel framework for integrating fuzzy logic w…
View article: Enhancing the Interpretability of Malaria and Typhoid Diagnosis with Explainable AI and Large Language Models
Enhancing the Interpretability of Malaria and Typhoid Diagnosis with Explainable AI and Large Language Models Open
Malaria and Typhoid fever are prevalent diseases in tropical regions, exacerbated by unclear protocols, drug resistance, and environmental factors. Prompt and accurate diagnosis is crucial to improve accessibility and reduce mortality rate…
View article: Febrile disease modeling and diagnosis system for optimizing medical decisions in resource-scarce settings
Febrile disease modeling and diagnosis system for optimizing medical decisions in resource-scarce settings Open
Febrile diseases are highly prevalent in tropical regions due to elevated humidity and high temperatures. These regions, mainly comprising low- and middle-income countries, often face challenges related to inadequate medical infrastructure…
View article: Automated Marking System for Essay Questions
Automated Marking System for Essay Questions Open
The stress of marking assessment scripts of many candidates often results in fatigue that could lead to low productivity and reduced consistency. In most cases, candidates use words, phrases and sentences that are synonyms or related in me…
View article: Multi-criteria decision analysis method for differential diagnosis of tropical febrile diseases
Multi-criteria decision analysis method for differential diagnosis of tropical febrile diseases Open
This paper employs the Analytical Hierarchy Process (AHP) to enhance the accuracy of differential diagnosis for febrile diseases, particularly prevalent in tropical regions where misdiagnosis may have severe consequences. The migration of …
View article: Nanomechanical-ferroelastics behavior, and the low-temperature ferroelectric manifestation of BiMnO<sub>3</sub> thin films
Nanomechanical-ferroelastics behavior, and the low-temperature ferroelectric manifestation of BiMnO<sub>3</sub> thin films Open
Ferroelastic-nanomechanical behavior of BiMnO 3 thin films on (100) Nb-doped SrTiO 3 substrate is studied at the nanoscale, for the first time using the theories of depth sensing indentation and finite element analysis. This was to underst…
View article: Sentiment Analysis of Electronic Word of Mouth (E-WoM) on E-Learning
Sentiment Analysis of Electronic Word of Mouth (E-WoM) on E-Learning Open
The proliferation of social media and the internet has given people many opportunities to air their views and to be at liberty to say what they feel without hindrance. This is beneficial to commercial organizations and the general well-bei…
View article: Dynamic analysis of malwarae intrusion in mobile devices using Adaboost Algorithm, KNN and SVM base classifiers
Dynamic analysis of malwarae intrusion in mobile devices using Adaboost Algorithm, KNN and SVM base classifiers Open
Cyber security is becoming more worrisome; malware is spreading by the day through proliferation and distribution of variants of known family signatures using obfuscation techniques. Mobile devices components such as central processing uni…
View article: Explainable AI modelling of Comorbidity in Pregnant Women and Children with Tropical Febrile Conditions
Explainable AI modelling of Comorbidity in Pregnant Women and Children with Tropical Febrile Conditions Open
Febrile diseases often exhibit overlapping symptoms, posing a challenge for their differential diagnosis. This challenge is particularly critical in pregnant women and children, where early and accurate diagnosis is vital to mitigate the e…
View article: An intelligent pattern recognition model for assessment of terrorists’ activities in Nigeria
An intelligent pattern recognition model for assessment of terrorists’ activities in Nigeria Open
Terrorism and its brutal tendencies constitute a major setback to the development process of the Nigerian economy leading to severe loss of lives, destruction of properties, and a decline of interest in investment by both local and foreign…
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: DEVELOPMENT OF A MOBILE APP DIAGNOSTIC SYSTEM FOR TROPICAL FEBRILE DISEASES
DEVELOPMENT OF A MOBILE APP DIAGNOSTIC SYSTEM FOR TROPICAL FEBRILE DISEASES Open
Febrile diseases present confusable symptoms that can be highly challenging to inexperienced physicians during diagnosis. This is in addition to the acute shortage of experienced medical experts in rural communities, especially in
View article: Modelling Differential Diagnosis of Febrile Diseases with Fuzzy Cognitive Map
Modelling Differential Diagnosis of Febrile Diseases with Fuzzy Cognitive Map Open
The report of the World Health Organization (WHO) about the poor accessibility of people living in low-to-middle-income countries to medical facilities and personnel has been a concern to both professionals and nonprofessionals in healthca…
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: Grading Multiple Choice Questions Based On Similarity Measure
Grading Multiple Choice Questions Based On Similarity Measure Open
Recent findings show the poor performances of students in Multiple Choice Questions (MCQ) examinations. This could be attributed to the administration of questions on application of knowledge rather than on fundamental of knowledge. Candid…
View article: A Systematic Review of Applications of Machine Learning and Other Soft Computing Techniques for the Diagnosis of Tropical Diseases
A Systematic Review of Applications of Machine Learning and Other Soft Computing Techniques for the Diagnosis of Tropical Diseases Open
This systematic literature aims to identify soft computing techniques currently utilized in diagnosing tropical febrile diseases and explore the data characteristics and features used for diagnoses, algorithm accuracy, and the limitations …
View article: A Framework for Intelligent Inventory Prediction in Small and Medium- Scale Enterprise
A Framework for Intelligent Inventory Prediction in Small and Medium- Scale Enterprise Open
The aim of this research is to apply an intelligent technique to predict optimal inventory quantity in small and medium-scale enterprise. This is in view of the fact that the conventional models such as the EOQ model use only deterministic…
View article: Analytic Hierarchy Process Model for the Diagnosis of Typhoid Fever
Analytic Hierarchy Process Model for the Diagnosis of Typhoid Fever Open
Typhoid fever is a global health problem, which seems neglected, but is responsible for significant levels of morbidity in many regions of the world, with about 12 million cases annually, and about 600,000 fatalities. Diagnosis of typhoid …