Logo Lanfrica
  • 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.

Detection of Potentially Malicious Domain Names for Ethiopic Script (Amharic language): A Machine Learning Approach

Type de record:

paper
Créateur:
HiwSol
Éditeur:
IEEE
Hôte:

Visit

doi.org

Tasks

text classification

Languages

AmharicGeez

Licenses

https://doi.org/10.15223/policy-029https://doi.org/10.15223/policy-037

Similaires

AMHARIC NAMED ENTITY RECOGNITION IN THE AGRICULTURE DOMAIN USING A MACHINE LEARNING APPROACHAmharic Language Hate Speech Detection Using Machine LearningClassification and Detection of Amharic Language Fake News on Social Media Using Machine Learning ApproachVector Representation of Amharic Idioms for Natural Language Processing Applications Using Machine Learning ApproachLexical Complexity Detection and Simplification in Amharic Text Using Machine Learning ApproachMachine Learning-based Approach for Scam Message Detection in Kiswahili Using Natural Language

AMHARIC NAMED ENTITY RECOGNITION IN THE AGRICULTURE DOMAIN USING A MACHINE LEARNING APPROACH

Amharic Language Hate Speech Detection Using Machine Learning

Classification and Detection of Amharic Language Fake News on Social Media Using Machine Learning Approach

The pervasive idea of web-based media stages brought about a lot of sight and sound information in i

Vector Representation of Amharic Idioms for Natural Language Processing Applications Using Machine Learning Approach

Lexical Complexity Detection and Simplification in Amharic Text Using Machine Learning Approach

Machine Learning-based Approach for Scam Message Detection in Kiswahili Using Natural Language

Scam messages transmitted via SMS and digital platforms present significant cybersecurity threats, p