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LSTMCNnet is an LSTM based framework for time-series anomaly detection. The framework consists of 2 modules, a prediction module and a detection module. Prediction module is based on long short term memory neural networks (LSTM) and convolutional neural networks (CNN). Dynamic time warping alogorithm (DTW) is used in detection module .