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Stanley Nwakamma

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Review Open access 2026

Optimizing Regularized Logistic Regression Pipelines on Cleaned Biomarker Datasets: A Leakage-Proof Benchmarking Protocol for Diagnostic and Prognostic Modeling

Logistic regression remains the workhorse of biomarker-based diagnostic and prognostic modeling, and for principled reasons: it yields calibrated probabilities when fitted and validated correctly, its coefficients support biological and clinical interpretation, and its statistical behavior under limited events is thoro...

Stanley Nwakamma, Serif Oyindamola Oyesiji, H. Sankara et al. · 0 citations
Open access Sep 2026

A Hardware-In-The-Loop CI/CD Validation Framework for IoT and Vehicle Embedded Systems Using C# and Azure Devops

Continuous integration and delivery transformed mainstream software engineering, yet embedded development for Internet of Things devices and vehicle systems remains only partially served by it, because the property that matters most, correct behavior of software on real hardware interacting with real signals, is exactl...

Kingsley Chinazaekpere Ndupu, Emmanuel Eniola Ajala, Serif Oyindamola Oyesiji et al. · 0 citations
#edge computing Review Open access Oct 2026

On-Device Multimodal Small Language Models for Privacy- Preserving Edge Intelligence Through Quantization Pruning Distillation and Energy-Efficient Inference

On-device multimodal small language models are emerging as a practical foundation for privacypreserving edge intelligence, enabling devices to interpret and generate language while processing images, audio, video, sensor streams, and contextual signals without continuous cloud dependence. Their deployment can reduce da...

Stanley Nwakamma · 1 citation
Open access Sep 2026

Edge-Optimized YOLO Architectures for Real-Time Autonomous Vehicle Perception: A Hardware-Aware Co-Design Framework

Object detection is the perceptual backbone of autonomous driving, and single-stage detectors of the YOLO family have become the practical default wherever frames must be processed within real-time budgets. Yet the published detection literature optimizes predominantly for benchmark accuracy on server-class accelerator...

H. Sankara, Serif Oyindamola Oyesiji, Emmanuel Eniola Aalaj et al. · 0 citations
Review Open access 2026

Predictive Analytics for Spare Parts Planning in Semiconductor Manufacturing: A Data Engineering Approach to Supply Chain Reliability

This review examined how predictive analytics, supported by modern data engineering, can strengthen spare parts planning and supply chain reliability in semiconductor manufacturing. The study adopted a structured narrative review approach, synthesising evidence on intermittent-demand forecasting, predictive maintenance...

Ayokunle Olamide Ijagbemi, Stanley Nwakamma, Marudi Oyefuga · 0 citations
Review Open access 2022

Supply Chain Visibility in Disrupted Environments: Analytics-Based Strategies for Inventory Accuracy and Lead-Time Resilience

This review examines how analytics-enabled visibility can improve inventory accuracy and lead-time resilience within supply networks exposed to persistent disruption. Its purpose is to integrate conceptual, technological and managerial perspectives in order to explain how organisations can detect emerging risks, preser...

Dominic Feboh, Ayokunle Olamide Ijagbemi, Ogochukwu T. Izuchukwu et al. · 0 citations
Review Open access 2024

Sentiment Analysis and Natural Language Processing for Consumer Insight: A Cross-Industry Framework for Retail Decision Support

The review concludes that sentiment analysis should be embedded within a governed decision-support architecture connecting data acquisition, contextual interpretation, human oversight, managerial action, and continuous feedback to achieve ethical, responsive, and evidence-based consumer insight.

Ayokunle Olamide Ijagbemi, Stanley Nwakamma, Ogochukwu T. Izuchukwu et al. · 0 citations
#software testing Review Open access Sep 2026

Automated Validation in Embedded IoT Development: A Review of Continuous Integration and Delivery across the Fidelity Ladder

The review weighs the empirical evidence on continuous practices in embedded organisations, identifies areas where evidence is thin—benchmarks, cross-level coverage reasoning, and pipeline-scale evaluation—and closes with directions for research and practice.

Serif Oyindamola Oyesiji, Chukwudera Obumneke Anunagba, Stanley Nwakamma et al. · 0 citations
Review 2025

Scalable ETL Pipeline Architectures for Real-Time Transaction Analytics: Bridging Data Engineering and Business Operations

The study concludes that real-time analytical performance must be evaluated through both engineering and operational outcomes, and recommends use-case-driven architectural selection, resilient hybrid deployment, embedded security and governance, automated quality assurance, transparent AI-assisted pipeline management a...

Ogochukwu T. Izuchukwu, Dominic Feboh, Ayokunle Olamide Ijagbemi et al. · 0 citations
Review Open access 2023

Cybersecurity Governance in Smart Campus Environments: Balancing ISO 27001, GDPR, and HIPAA Compliance in University IT Systems

The study concludes that universities require a layered, integrated governance model rather than separate compliance silos, and recommends multidisciplinary oversight, harmonised control catalogues, precise data classification, Zero Trust access, privacy and security by design, recurring impact assessments, supplier ac...

Dominic Feboh, Ayokunle Olamide Ijagbemi, Stanley Nwakamma et al. · 0 citations
Review Open access 2020

Digital Transformation of Facility and Property Management: Integrating Business Intelligence Tools for Cost Reduction in Emerging Markets

The increasing complexity of built-asset operations, rising service costs, and persistent efficiency constraints in emerging economies have intensified the need for more intelligent approaches to facility and property management. This study critically examines how digital systems and business intelligence capabilities...

Ogochukwu T. Izuchukwu, Dominic Feboh, Ayokunle Olamide Ijagbemi et al. · 0 citations

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