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Which model is suitable for monitoring large volumes of IoT sensor data in real time to detect anomalies?
①Recurrent neural networks such as LSTM
②Simple linear regression model
③Naive Bayes classifier
④Only batch training for fully connected neural networks.
⑤k-nearest neighbors method for batch processing