Confidence Adimchi, Chinonyerem

AI-Driven Intrusion Detection Systems for Autonomous Internet of things (A-IoT): Trends, Architectures and Evaluation Practices

Abayomi Ibrahim Adeaga, Rona Oneshiorona Sado, Onamudiana Charles Okoruwa, Ezeugwa, Gerrard Nnanyelugo & Confidence Adimchi, Chinonyerem · Asian Journal of Advanced Research and Reports · 2026

This paper is a systematic review of the state of the art of Intrusion Detection Systems proposed for internet of things scenarios. The emphasis was placed on understanding research trends and methodologies and also on understanding the impact of dataset diversity on intrusion de...

Open access Research Article 10.9734/ajarr/2026/v20i21276

Artificial Intelligence-driven Supply Chain Optimization for Sustainable Last-mile Delivery in Smart Cities: An Electric Vehicle Routing Approach

Raphael Popoola, Oghogho Favour Aisosa, Lawal Sulaimon Abiodun, Olayinka Adeolu, David, Paul Oluchukwu Mbamalu, Adeleke, Anuoluwapo Rachael & Confidence Adimchi, Chinonyerem · Asian Journal of Advanced Research and Reports · 2025

There has been a rise in demand for affordable, sustainable last-mile delivery services in smart cities due to the upsurge in e-commerce and urbanization. Aside from many challenges to the traditional logistic infrastructure are environmental pollution, excessive operating costs,...

Open access Research Article 10.9734/ajarr/2025/v19i101165

Integration of Digital Twin Platforms with Machine Learning Models for Early Detection of Project Delays and Cost Overruns

Chijioke George Edeh, Prosper Tanyaradzwa Masakara, Jideofor Chinedu Anyankah, Ridwan Bale, Rufus Fidelis Ojuoluwa, Israel Ejenawo F. Utho, Adebayo Victor Adebayo & Confidence Adimchi, Chinonyerem · Asian Journal of Advanced Research and Reports · 2026

The problem of recurring schedule delays and cost overruns has long been one of the biggest challenges in the management of construction projects. Recent technological developments in Digital Twin and Machine Learning technologies provide project managers with promising opportuni...

Open access Research Article 10.9734/ajarr/2026/v20i11271

Evaluating How Explainable Ai-Driven Financial and Clinical Risk Models Improve Global Maternal, Neonatal and Mental Health Outcomes in Resource-limited Settings

Abayomi Ibrahim Adeaga, Felix Denkyi, Ugwumadu-Ihechi Jovita, Blessing Chinedu Ndubuisi, Ezekiel Oluwagbemileke Ilori, Adegoke Adebayo David, Fatimah Abduljelil, Badmus Monsuru Owolabi, Godwin Pascal Madukwe & Confidence Adimchi, Chinonyerem · Asian Journal of Advanced Research and Reports · 2026

Outcomes associated with maternal, neonatal, and perinatal mental health issues have, unfortunately, remained unacceptably low in resource-limited countries, partly because of inefficient risk factor frameworks and a lack of trust in the use of artificial intelligence-based decis...

Open access Research Article 10.9734/ajarr/2026/v20i21280