Publications

Evaluating Centralised and Federated Learning YOLOv8-Based Object Detection for Intelligent Transportation Systems

Chijiuka Fortune Akuma

CI²A 2026 — Akal University, Punjab, India

Comparative evaluation of centralised and federated YOLOv8 object detection for ITS, analysing performance, accuracy, and privacy trade-offs.

Initialisation Strategies and Convergence Behaviour in Federated YOLOv8-Based Object Detection for Intelligent Transportation Systems

Chijiuka Fortune Akuma

CI²A 2026 — Akal University, Punjab, India

Investigates initialisation strategies and convergence behaviour in federated YOLOv8 training for ITS, identifying optimal distributed learning configurations.

A Comprehensive Review of Predicting Vaccine Side Effects with AI

Chijiuka Fortune Akuma

ICRITO 2025 — Amity University, Noida, India

Reviews AI methods for predicting vaccine side effects, analysing datasets, model architectures, and clinical implications for public health decision-making.

AI Agents: A Comprehensive Review of Evolution, Architectures, Applications, and Future Directions

Chijiuka Fortune Akuma

ICRITO 2025 — Amity University, Noida, India

Comprehensive review of AI agent evolution from reactive systems to autonomous multi-agent frameworks, covering architectures, applications, and future research directions.

Forecasting Nigerian Inflation: A SARIMAX and Granger Causality Analysis of Exchange Rate and Crude Oil Price Impacts

Chijiuka Fortune Akuma

International Journal of Data Management (IJDM)

Applied SARIMAX modelling and Granger causality analysis to investigate exchange rate and crude oil price impacts on Nigerian inflation, providing actionable economic forecasts.

Decentralized Perception: A Systematic Review of Federated Learning for Privacy-Preserving Detection of Mixed Road Users in Intelligent Transportation Systems

Chijiuka Fortune Akuma

International Journal of Data Management (IJDM)

A systematic review of federated learning for privacy-preserving detection of mixed road users in intelligent transportation systems, covering decentralised perception methods.

Conceptual Expert System Software Framework for Nutritional Analysis and Diet-Related Diseases in Nigeria

Chijiuka Fortune Akuma

International Journal of Data Management (IJDM)

Developed a theoretical expert system for personalised nutritional guidance and disease prevention, showcasing an interdisciplinary approach to public health informatics.

Blockchain-Enabled Conceptual Framework for Enhancing Academic Transcript Issuance and Authentication in the Nigerian Educational System

Chijiuka Fortune Akuma

International Journal of Data Management (IJDM)

Proposed a novel blockchain framework to address challenges in academic credential verification, contributing to enhanced security and trustworthiness in educational systems in Nigeria.