Divine Iloh Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Little Rock

unknown

1 h-index 4 pubs 7 cited

Research Areas

Advanced Neural Network Applications Machine Learning Applications Network Security and Intrusion Detection Financial Markets and Investment Strategies Natural Language Processing Techniques Topic Modeling Data Mining Techniques

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OverviewAI-generated summary

Divine Iloh's research focuses on the application of advanced machine learning and deep learning techniques across various domains. Recent publications explore algorithmic trading and market prediction, generative synthetic student data for learning analytics, adaptive cybersecurity architectures utilizing agentic AI, and optimized deep learning frameworks for malware classification. Iloh's work integrates methodologies like Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNN) to enhance predictive capabilities and classification accuracy in these areas.

This research leverages computational approaches to address challenges in financial markets, educational data analysis, cybersecurity, and threat detection. Iloh has a recent publication record extending into 2025, indicating ongoing activity in these fields. The researcher collaborates with Oluwatomiwa Ajiferuke from the University of Arkansas at Little Rock, with whom they have co-authored one publication.

Metrics

  • h-index: 1
  • Publications: 4
  • Citations: 7

Selected Publications

  • Generative Private Synthetic Student Data for Learning Analytics: An Empirical Study (2025) DOI

Collaborators

Researchers in the database who share publications

Oluwatomiwa Ajiferuke University of Arkansas at Little Rock 1 shared publication

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