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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

A. Ampomah-Britwum

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2 papers indexed here

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Review Open access Sep 2026

Real-Time Anomaly Detection in Distributed Financial Transaction Streams Using Machine Learning: From Statistical Detection to Operational Reliability

Financial transaction monitoring is increasingly expected to identify anomalous and potentially fraudulent activity while transactions are still operationally actionable. This requirement is more demanding than conventional offline classification because the detector is embedded in an unbounded, distributed stream in w...

John Kwesi Erbynn, Doreen Appiah, A. Ampomah-Britwum · 0 citations
#federated learning Review Open access Oct 2026

ARTIFICIAL INTELLIGENCE IN FINANCIAL STATEMENT FRAUD DETECTION: A CRITICAL SYNTHESIS OF EMERGING TRENDS, METHODOLOGIES, AND FUTURE DIRECTIONS FOR U.S. PUBLICLY TRADED COMPANIES

Financial statement fraud causes systemic damage to U.S. capital markets, investor confidence, and the credibility of public company disclosures. Artificial intelligence (AI) offers promising new detection capabilities, yet its evidence base and operational readiness remain unevenly developed across the literature. Thi...

Daniel Adu Boateng, A. Ampomah-Britwum, Valerie Colley et al. · 0 citations

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