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.

MODELLING AI-DRIVEN METHODS FOR THE PREVENTION OF INJURIES IN SOUTH AFRICAN CONSTRUCTION

Créateur:
Tha
Éditeur:
unp
Hôte:avatar

Visit

doi.orgwww.researchgate.net

Similaires

Nigeria's Cyber Frontier: AI-Driven Threat Prevention for Government Cloud ServicesA SCOPING REVIEW OF THE BENEFITS OF AI ADOPTION IN THE SOUTH AFRICAN CONSTRUCTION INDUSTRYIMPROVING ASSET INFORMATION MANAGEMENT IN THE SOUTH AFRICAN CONSTRUCTION INDUSTRY USING BUILDING INFORMATION MODELLINGIntegrating AI Technologies in Education and AI-driven Teaching and Learning MethodsModelling the Determinant of Digitalization for Effective and Sustainable Construction Workforce Management in South AfricaAI-Driven Counselling Interventions for Predicting and Preventing Xenophobic Attacks Among South African Youths

Nigeria's Cyber Frontier: AI-Driven Threat Prevention for Government Cloud Services

A SCOPING REVIEW OF THE BENEFITS OF AI ADOPTION IN THE SOUTH AFRICAN CONSTRUCTION INDUSTRY

AbstractHistorically, South Africa has been a nation plagued by socio economic disparities that has

IMPROVING ASSET INFORMATION MANAGEMENT IN THE SOUTH AFRICAN CONSTRUCTION INDUSTRY USING BUILDING INFORMATION MODELLING

Integrating AI Technologies in Education and AI-driven Teaching and Learning Methods

Presentation 3 part of the TAM Sphere Workshop "AI in Higher Education", delivered by Diana Andone t

Modelling the Determinant of Digitalization for Effective and Sustainable Construction Workforce Management in South Africa

Workforce management in the construction industry in developing countries like South Africa is still

AI-Driven Counselling Interventions for Predicting and Preventing Xenophobic Attacks Among South African Youths

This study examined AI-driven counselling interventions for predicting and preventing xenophobic att