Vol. 3 No. 1 (2025): Volume-III, Number-I, 2025
-
AI Autoencoder-Driven Anomaly Detection for Wire Transfer Security
Abstract 49
Wire transfer fraud remains one of the most pressing challenges for the global financial system, with annual losses running into billions of dollars. Traditional fraud detection systems, which often rely on static rules and heuristic models, have consistently struggled to match the agility and sophistication of modern adversaries. Auto encoder-driven anomaly detection, an advanced form of unsup ... read more
-
AI, Data Science, and Quantum Neural Networks in E‑Commerce: Methods, Applications, Risks, and a Research Roadmap
Abstract 50
Ecommerce has matured into a data‑intensive ecosystem where consumer behavior, logistics, pricing, personalization, and fraud detection are driven by large, heterogeneous datasets. Classical AI and data‑science pipelines have delivered major productivity and revenue gains, yet they face limits in modeling combinatorial recommendation spaces, accelerating molecular‑scale cryptography for s ... read more
-
Integrating Quantum Networks with AI Architectures: A Framework for Next-Gen Secure Healthcare Systems
Abstract 58
Secure, privacy-preserving sharing and analysis of health data is foundational to precision medicine, population health, and telehealth services. Emerging quantum networks promise fundamentally new communication primitives (entanglement, quantum key distribution) that when integrated with advanced AI architectures can enable end-to-end secure healthcare systems ... read more