Vol. 4 No. 3 (2025): Volume-IV, Number-III, 2025
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Artificial Intelligence for Compliance and Regulatory Reporting - Automating Anti-Money Laundering (AML) Detection in Financial Services
Abstract 10
Anti-Money Laundering (AML) detection is a critical regulatory and operational function for financial institutions. Traditional rule-based systems capture known typologies but produce high false positive rates, operational burden, and limited adaptive capacity against evolving threats. Recent advances in artificial intelligence (AI) and machine learning (ML) including supervised classifiers, un ... read more
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Biometric Authentication and Robot Access Control for Secure Health Devices
Abstract 7
Medical devices and healthcare robots are increasingly networked, making robust authentication and fine-grained access control essential to patient safety, privacy, and regulatory compliance. This article provides an extended, interdisciplinary review of biometric authentication modalities and access-control mechanisms for robotic and Internet-of-Medical-Things (IoMT) devices, synthesizes the t ... read more
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Machine Learning for Dynamic Pricing Strategies and Optimization in Retail E-commerce
Abstract 11
Dynamic pricing the real-time adjustment of prices in response to market conditions, demand signals, inventory, and customer attributes has become a core capability for modern retail e-commerce platforms. Machine learning (ML) enables firms to estimate demand elasticities from heterogeneous data, to forecast micro-demand, and to optimize pricing policies that balance immediate revenue with long ... read more
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Quantum Neural Network (QNN) Architectures and Their Potential in High-Dimensional Medical Image Classification
Abstract 23
The rapid expansion of medical imaging modalities (high-resolution CT, MRI, whole-slide histopathology, and multi-omics image representations) stresses current classical deep-learning pipelines with rising dimensionality, complex feature manifolds, and often limited labeled data. Quantum neural networks (QNNs) an umbrella term for quantum-native and hybrid variational models offer new represent ... read more
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Telerobotics and Artificial Intelligence for Remote Diagnostics and Consultation in Rural Medicine
Abstract 4
Rural populations worldwide face persistent barriers to timely, specialist medical care due to workforce shortages, geographic isolation, and constrained infrastructure. Recent advances in telerobotics combined with artificial intelligence (AI) present a promising path toward bridging this gap by enabling remote diagnostics and real-time specialist consultation. This article synthesizes current ... read more