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In this paper, we propose a novel modular architecture for self-supervised multi-sensor anomaly detection and localization. The framework consists of a spatio-temporal encoder for representation learning, a decoder for latent reconstruction, a predictive memory network for sub-sequence pattern...

Purpose This project aims to optimise a secondary agricultural company’s reporting and data lifecycle by providing self-help business intelligence at an optimal price point for all business users. Design/methodology/approach A design for Lean Six Sigma approach utilising the define, measure analyse...