- Assessing the Evolution of Customer Ethics and Building Trust in FinTechby oxjournalThis research paper explores the ethical issues of financial technology, emphasising the importance of safeguarding customer data, complying with data protection laws and avoiding making ethical mistakes that threaten a company’s trust.
- How Can AI-Driven Algorithms Improve Fraud Detection and Market Surveillance on the London Stock Exchange Over the Next Five Years (2025-2030)?by oxjournalThis paper evaluates the effectiveness of machine learning and pattern-recognition models in monitoring trading activity on the London Stock Exchange by comparing their performance with traditional surveillance methods.
- eVTOLs as Aerial Taxis in London: Engineering the Optimal Passenger-Centric eVTOL Designby oxjournalThis paper looks at how an eVTOL could be designed as an aerial taxi in London. It covers propulsion options, noise reduction, battery and hydrogen-fuel-cell systems, how eVTOLs fit into London’s airspace and the basic structural features needed.
- Digital Banking and the Future of Embedded Finance: How Will AI-Powered Fraud Detection and Algorithmic Credit Scoring in Cross-Border Rails Reshape Systemic Risk?by oxjournalThis report investigates the convergence of embedded finance, real-time cross-border payments and artificial intelligence. Specifically, it examines how graph neural networks in fraud detection and algorithmic cash-flow underwriting in credit scoring are enhancing financial inclusion and operational efficiency.
- Exploring the Differences and Similarities Between Breast Cancer and Brain Cancer: To What Extent Should AI Be Used Within the Healthcare Industry?by oxjournalArtificial intelligence (AI) has emerged as a promising clinical tool in oncology, though its maturity and applicability differ substantially between diseases. This review explores the differences and similarities in AI applications for breast cancer and brain cancer diagnosis and treatment.
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