Vol. 3 No. 1 (2025): Volume-III, Number-I, 2025
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Harnessing AI for Real-Time Analysis and Classification of Stem Cell Differentiation Pathways
Abstract 16
Real-time or near-real-time characterization of stem cell differentiation is critical for developmental biology, regenerative medicine, and cell-therapy manufacturing. Advances in single-cell technologies (time-lapse live imaging, live transcriptomics, lineage recording) and machine learning (autoencoders, variational autoencoders, graph and contrastive methods) enable automated detection, clas ... read more
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Quantum-Enhanced Graph Analytics: A Hybrid AI Framework for Seller Fraud Detection in Online Marketplaces
Abstract 25
Fraudulent seller networks in e-commerce platforms exploit relational patterns across buyers, products, and transactions to perpetrate large-scale scams that evade traditional detection systems. Graph Neural Networks (GNNs) provide end-to-end representation learning on graph structures, enabling detection of anomalous subgraphs indicative of fraud rings. Complementing GNNs, TinyML brings on-dev ... read more
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Robotics, Autonomous Vehicles, Data Science, and Quantum Neural Networks for Future Growth
Abstract 13
Robotics and autonomous vehicles (AVs) represent the vanguard of intelligent systems in manufacturing, logistics, and transportation. These domains are increasingly driven by advances in data science big data pipelines, real‐time analytics, and machine learning and by emerging quantum neural networks (QNNs) that promise exponential feature spaces and novel optimization capabilities. This arti ... read more