Self-Organizing Maps (SOMs) have emerged as a powerful unsupervised neural-network technique for exploring complex groundwater quality datasets. By projecting high-dimensional water chemistry ...
Accurate gemstone classification is critical in gemology for authentication and identification. This study presents a novel one-class classifier using self-organizing maps (SOMs), combined with Monte ...
A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling energy-efficient self-organizing maps without external arithmetic circuits. Memristors, ...
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