Accueil
Atlas
Analyses
Documentation
Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Phishing URL Detection Under Sub-Saharan African Context with Neural Networks: A Large-Scale Study

Domaine:

digital infrastructure

Type de record:

paper

Créateur:

Hon

Éditeur:

unp

Hôte:

Visit

Tasks

text classification

Similaires

Context-Aware Ghanaian Phishing Indicators (CGPI): A Ghana-Contextualised URL Feature Taxonomy for Phishing Detection in Higher EducationLeveraging Compact Satellite Embeddings and Graph Neural Networks for Large-Scale Poverty MappingDeclining trends in vaccine confidence across sub-Saharan Africa: A large-scale cross-sectional modeling studySchool Governance and Learner Performance in Sub-Saharan Africa: A Neural Networks ApproachEvaluating the Generalisability of Convolutional Neural Networks for Diabetic Retinopathy Detection in Latin America and Sub-Saharan AfricaLarge-Scale Building Thermal Modeling Based on Artificial Neural Networks: Application to Smart Energy Management

Context-Aware Ghanaian Phishing Indicators (CGPI): A Ghana-Contextualised URL Feature Taxonomy for Phishing Detection in Higher Education

This deposit describes the 15 Context-Aware Ghanaian Phishing Indicators (CGPI) engineered for the G

Leveraging Compact Satellite Embeddings and Graph Neural Networks for Large-Scale Poverty Mapping

Accurate, fine-grained poverty maps remain scarce across much of the Global South. While Demographic

Declining trends in vaccine confidence across sub-Saharan Africa: A large-scale cross-sectional modeling study

Current WHO/UNICEF estimates of routine childhood immunization coverage reveal the largest sustai

School Governance and Learner Performance in Sub-Saharan Africa: A Neural Networks Approach

International audience The aim of this paper is to analyse the impact of school gover

Evaluating the Generalisability of Convolutional Neural Networks for Diabetic Retinopathy Detection in Latin America and Sub-Saharan Africa

Diabetic retinopathy is a leading cause of vision loss worldwide, particularly impacting individuals

Large-Scale Building Thermal Modeling Based on Artificial Neural Networks: Application to Smart Energy Management

International audience This chapter focuses specifically on the development of a smar