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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Solomon Doe Adjaottor

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Review Open access Aug 2026

The Evolution of Spatiotemporal Hotspot Prediction in Public Health: Emerging Paradigms from Spatial Epidemiology to GeoAI and Foundation Models

Spatiotemporal hotspot prediction has become essential for proactive public health surveillance and intervention. Over several decades, analytical approaches in this field have evolved from classical spatial epidemiology through Bayesian modeling, machine learning, deep learning, GeoAI, and more recently, foundation mo...

G. Wayoe, G. Apaflo, S. Adjaottor · 0 citations
Review Open access Sep 2026

Machine Learning in Corporate Financial Decision-Making: A Critical Narrative Review of Predictive Models for Investment, Valuation, and Risk Assessment

Machine learning is increasingly applied to support corporate financial decisions under conditions of high dimensionality, nonlinearity, and rapid information change. This critical narrative review examines how predictive models have been used across three core domains: investment decision-making, valuation, and risk a...

Shingai Tamia Kamoto, G. Apaflo, S. Adjaottor · 0 citations
Review Open access Sep 2026

A Comprehensive Review of Predictive Analytics in Audit Risk Assessment for Advancing Data-Driven Decision-Making and Financial Transparency

Audit risk assessment remains a foundational element of the financial statement audit, yet traditional approaches that rely primarily on professional judgment and sampling face growing limitations. Rising volumes of transactional data, increasing complexity in financial reporting, and more sophisticated forms of fraud...

S. Adjaottor, E. Afriyie, G. Apaflo · 0 citations
Review Open access Sep 2026

Emerging Technologies in Auditing, Fraud Detection, and Internal Controls: A Review of AI, Data Analytics, Blockchain, and Continuous Monitoring Systems in U.S. Organizations

Emerging technologies, including Artificial Intelligence (AI), data analytics, blockchain, robotic process automation (RPA), and continuous monitoring systems, are transforming auditing, fraud detection, and internal controls across U.S. organisations. This review synthesises literature on how these tools are reshaping...

Sewando Erick Mkuchu, Eniola Yewande Fajimi, C. Amoakoh et al. · 0 citations
Open access Jul 2026

Analysis of systems-level ethical AI compliance architecture for U.S. corporations: Integrating governance, risk management, and automated accountability

The study found that integrated ethical AI compliance architectures are critical for innovation in the responsible application of cutting-edge technologies, organizational sustainability, stakeholder trust, and long-term corporate resilience as businesses operate in an increasingly technology-driven environment.

Joy Oluchi Nwachukwu, Thaddaeuse Odhiambo, Dorcas Akorkor Apaflo et al. · 0 citations
Open access Jul 2026

Data Governance, Bias Mitigation, And Legal Risk: A Holistic AI Compliance Framework for U.S. Companies in High Stakes Sectors

It is concluded that a holistic AI compliance framework integrating data governance, bias mitigation strategies, legal oversight, cybersecurity, and ethical accountability is essential for ensuring responsible and trustworthy AI deployment in high-stakes environments.

Joy Oluchi Nwachukwu, Thaddaeuse Odhiambo, Dorcas Akorkor Apaflo et al. · 0 citations

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