Abstract: Financial transactions' growing quantities and complexity require improved anomaly detection techniques to fight fraud. This paper looks at the application of self-enclosure neural networks ...
Abstract: Data-driven soft sensing is widely adopted for real-time quality variable detection due to rapid advancements in machine learning. Industrial process data typically exhibit high ...
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