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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Confidence Adimchi Chinonyerem

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4 papers indexed here

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Open access Oct 2026

AI-Driven Predictive Quality Control for Real-Time Defect Detection and Process Optimization in Smart Manufacturing

Smart manufacturing requires quality-control systems capable of detecting defects and responding to process deviations in real time. This study develops an AI-driven predictive quality-control framework that integrates machine vision, sensor-based monitoring, sequential process modelling, and closed-loop multi-objectiv...

Chidera Anastacia Ezeh, Ayomide Oladele, Ahmed Idowu Agbelejoye et al. · 0 citations
Open access Sep 2026

AI-driven Digital Twin Framework for Predictive Maintenance, Asset Integrity Management, and Energy Optimization in Smart Oil and Gas Industrial Systems

Advances in AI, physics-informed modelling, and Digital Twin technologies offer the potential to enhance predictive maintenance, asset-integrity assessment, and energy management within oil and gas processing systems. However, these frameworks are most useful when they are based on a common data source, use a consisten...

Henry Inkum, C. Ezeh, Vanessa Grant et al. · 0 citations
Open access Aug 2026

AI-Driven Automation and Digital Twin Framework for Smart Transportation Systems and Predictive Infrastructure Maintenance

With the accelerated pace of urbanisation and growing transport demand, traffic congestion has worsened, while transportation infrastructure has increasingly deteriorated, particularly in rapidly growing metropolises such as Lagos, Nigeria. Traditional transportation management systems rely on reactive maintenance stra...

Henry Inkum, C. Ezeh, Georgina Fiyinfoluwa Leramo et al. · 0 citations
#explainable ai Open access Sep 2026

Integrating Artificial Intelligence and Data Science for Financial Decision-making and Business Performance Optimization

Artificial Intelligence (AI) and Data Science are increasingly used to support corporate financial decision-making, yet uncertainty remains regarding how analytical maturity and AI adoption translate into measurable business performance. This study developed and evaluated an integrated decision-support framework using...

Patricia Ugochi Uzoma, Kehinde Akinwale, Blessing Itodo et al. · 0 citations

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