National Open University of Nigeria

Type

Education

Country

Nigeria

NG

ROR

009tveq15

not unique to one org

OpenAlex

I52605992

the anchor

Documents

97

through any edge

Papers

97

authorship edges

Awards made

Named as funder

Papers

Documents in the 44B Library with National Open University of Nigeria on the authorship, newest first.

2026-06-22 · 4 authors here

Federated Learning for Intrusion Detection in Internet of Medical Things (IoMT): A PRISMA-Based Systematic Literature Review

2026-06-16 · 3 authors here

A System for the Prediction of election results using Vader and hybridized machine learning model

2026-06-01 · 3 authors here

Medical Authority in the Age of Influencers: Examining Source Credibility and Health Message Adoption among Nigerian Undergraduates

2026-05-26 · 2 authors here

Learners’ perspective on integrating advanced AI technology in the National Open University of Nigeria learning platform

2026-05-06 · 2 authors here

An End-to-End Machine Learning System for Real-Time Credit Card Fraud Detection with Interactive Deployment

2026-05-06 · 2 authors here

An End-to-End Machine Learning System for Real-Time Credit Card Fraud Detection with Interactive Deployment

2026-05-04 · 1 authors here

Pathformer: a hierarchical vision transformer for pan-cancer grade classification, survival prediction, and biomarker status inference from whole-slide histopathology images

2026-03-30 · 2 authors here

Comparative Analysis of Machine Learning Algorithms for Fake News Detection on Social Media: A Systematic Literature Review

2026-03-29 · 1 authors here

MACHINE LEARNING-BASED SENTIMENT ANALYSIS OF NIGERIAN TWITTER REACTIONS TO THE PETER OBI-OYEDEPO POST-ELECTION CONTROVERSY

2026-03-20 · 2 authors here

Benchmarking Self-Supervised Speech Models on Multilingual Nigerian Speech

2026-03-02 · 3 authors here

Revolutionizing the Travel Industry: Leveraging Artificial Intelligence for Personalized Offers and a Global Game-Changing Experience

2026-02-27 · 3 authors here

Systematic Literature Review on CNN-LSTM Model for Smishing Detection in Hausa and English Messages

2026-02-07 · 3 authors here

A Comparative Analysis of Machine Learning and Deep Learning Models Incorporating Attention Mechanisms for Asthma Prediction

2026-01-07 · 1 authors here

Artificial Intelligence and Organisational Performance: An Examination of the Factors Influencing Customers’ Perspectives towards Selected Deposit Money Banks in Abuja, Nigeria

2026-01-01 · 2 authors here

Yahoo Boys vs. Crypto Bros: Algorithmic amplification patterns of financial disinformation and fraud on X and Facebook

2026-01-01 · 2 authors here

Comparative Evaluation of Uncertainty Measures in Traditional Regression and Supervised Machine Learning Models

2026-01-01 · 3 authors here

Designing Explainable AI Based Marketing Automation Architectures for Healthcare and Financial Applications

2026-01-01 · 6 authors here

AI-Driven Identity Theft and Fraud Detection in FinTech Systems: A Systematic Literature Review (2016–2025)

2025-12-29 · 1 authors here

Bridging the Gap Between Accuracy and Interpretability: A Hybrid LSTM Approach with SHAP for ICU Mortality Prediction Using EHR Data

2025-12-15 · 8 authors here

Assessing Metadata Quality: Analysis of Bibliographic Entries in Librarianship Literature Generated by ChatGPT-5

2025-12-13 · 1 authors here

Contextual Integrity and Immigration Information Systems in Nigeria

2025-12-13 · 1 authors here

Contextual Integrity and Immigration Information Systems in Nigeria

2025-12-09 · 6 authors here

AI-Powered Tutoring Systems for Personalised Learning Feedback in Developing Secondary Education Contexts

2025-12-01 · 3 authors here

Daily Product Purchase Predictions with E-commerce Recommendations Using a Continual Learning Neural Network System

2025-11-25 · 2 authors here

Artificial Intelligence for Fraud Detection and Portfolio Optimization: Insights from UK Financial Institutions

Showing 25 of 97 on record.

Funding

Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.

Who funds this work

Funders named on the papers above. The record holds no recipient field, so this is reached through the documents themselves — and the two columns are two different claims, kept apart.

Under a named grant

funding_awards — the award carries a grant number

Nothing on record.

© 2026 NYSGPTLast Updated: August 5, 2026