One-class classification aims to identify if an example belongs to the same distribution as the training data. There are several applications of one-class classification, such as anomaly detection or outlier detection, where we learn a classifier that distinguishes the anomaly/outlier data without access toAdvanced Management Accounting Case: Harwood Medical Instruments PLC (HMI), based just outside ofBirmingham, England, manufactured specialty medical instruments andsold them in market niches that were becoming increasinglycompetitive and price sensitive because of pressures toreducehealth care costs.One-class classification problem has been investigated thoroughly for past decades. Among one of the most effective neural network approaches for one-class classification, autoencoder has been successfully applied for many applications. 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