Feature Extraction Feature extraction is extremely significant in every chemo-sensory application [ 24 ], which could be described as a reflection of the sensor response under the lower-dimensional space, which preserves the most meaningful portion of the information that can be contained in the original sensor signals.
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Sensor Drift Compensation Based on the Improved LSTM and SVM Multi-Class Ensemble Learning Models.
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