336
Publications
1035
Auteurs uniques
3
Pays représentés
Afrique du SudGhanaÉthiopie
Publications
336 publication(s) trouvée(s)
Article scientifique
Tax Evasion Prediction Using Financial Ratios and Machine Learning: A Hybrid Model Based on MLP, Naive Bayes, SVM, and Harmony Search Optimization
Article scientifique
From chaos to clarity: unraveling credit card fraud with BGVOA-LS
Abstract Credit card fraud (CCF) continues to cause significant financial losses worldwide, costs institutions and consumers billions of dollars each …
Article scientifique
A Python Toolkit for Simulated Fall Risk Assessment Using Synthetic Wearable Sensor Data
Abstract Background Falls are a leading cause of injury and reduced mobility, particularly among prosthetic users, older adults, and individuals …
Article scientifique
Intelligent QSAR Approaches: Harnessing Machine Learning for Early Detection of Carcinogenic Agents
Article scientifique
A Systematic Literature Review on securing Beyond 5G Network Slicing through Machine Learning and Blockchain
Article scientifique
Enhancing DDoS Attacks Detection using Machine Learning Algorithms with Feature Selection based on Mutual Information
Article scientifique
The African Breast Imaging Dataset for Equitable Cancer Care: Protocol for an Open Mammogram and Ultrasound Breast Cancer Detection Dataset
Abstract Introduction Breast cancer is one of the most common cancers globally. Its incidence in Africa has increased sharply, surpassing …
Article scientifique
SpyShield: a Spyfall inspired defense mechanism against poisoning attacks in federated learning
Traditional machine learning (ML) relies on a centralized architecture, which makes it unsuitable for applications where data privacy is critical. …
Article scientifique
Regularizing quantum loss landscapes by noise injection
The difficulty of training variational quantum algorithms and quantum machine learning models is well established. In particular, quantum loss landscapes …
Article scientifique
Predicting student performance academic using Automated Machine Learning (AutoML): in medical academic institutions
Abstract Educational institutions seek to increase distinguished educational programs, and these programs increase costs and expenses of these institutions consuming …
Article scientifique
Acute lymphoblastic leukemia diagnosis using machine learning techniques based on selected features
Cancer is considered one of the deadliest diseases worldwide. Early detection of cancer can significantly improve patient survival rates. In …
Article scientifique
Optimal Predictive Maintenance Scheduling for Photovoltaic Systems Using Weather Features and Hybrid Machine Learning: A Case Study of the 10 MW Tozeur PV Power Plant
Article scientifique
Feature representation in analysing childhood vaccination defaulter risk predictors: A scoping review of studies in low-resource settings
Childhood vaccination saves millions of lives yearly, yet over a million children in low-and middle-income countries die from vaccine-preventable diseases …
Article scientifique
Advanced Anomaly Detection in Mobile Networks: A Hybrid Approach Based on Statistical and Machine Learning Techniques
Network traffic analysis (NTA) is a technique used by network administrators to monitor network activity, ensure availability, and detect unusual …
Article scientifique
Enhancing anomaly detection in IoT-driven factories using Logistic Boosting, Random Forest, and SVM: A comparative machine learning approach
Three machine learning algorithms-Logistic Boosting, Random Forest, and Support Vector Machines (SVM)-were evaluated for anomaly detection in IoT-driven industrial environments. …
Article scientifique
Mitigating Online Banking Fraud Using Machine Learning and Anomaly Detection
Online banking fraud has become increasingly prevalent with the widespread adoption of digital financial services, necessitating advanced security solutions capable …
Article scientifique
A New Ontology-Based Recommender System for Academic Guidance in Paramedical Studies
This paper presents NurSHT-RS (Nursing Sciences and Health Techniques-Recommender System). The purpose is to help students choose study options within …
Article scientifique
A Framework for Forecasting Demand of General Time Series Data Using Regression Models and Machine Learning
Article scientifique
VTGAN based proactive VM consolidation in cloud data centers using value and trend approaches
Reducing energy consumption and optimizing resource usage are essential goals for researchers and cloud providers managing large cloud data centers. …
Article scientifique
Comprehensive review of federated learning challenges: a data preparation viewpoint
Abstract Machine learning model accuracy, generalization, and reliability are greatly affected by the training data quality. High-quality data-characterized by completeness, …