Electronic Tongue based Classification of Mineral Water Samples using Gramian Angular Field and Deep SAE

Author:

Damarla Seshu Kumar1ORCID

Affiliation:

1. Chemical and Materials Engineering, University of Alberta, Canada

Publisher

ACM

Reference5 articles.

1. Sensor arrays for liquid sensing – electronic tongue systems

2. The e-tongue-based classification and authentication of mineral water samples using cross-correlation-based PCA and Sammon's nonlinear mapping

3. Classification of Tea Samples using Learning Vector Quantization Neural Network

4. Zhiguang Wang and Tim Oates . 2015 . Imaging time-series to improve classification and imputation . In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina Zhiguang Wang and Tim Oates. 2015. Imaging time-series to improve classification and imputation. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina

5. David Paper . 2021. State-of-the-art deep learning models in Tensorflow: Modern Machine Learning in the Google Colab Ecosystem . APress , USA. David Paper. 2021. State-of-the-art deep learning models in Tensorflow: Modern Machine Learning in the Google Colab Ecosystem. APress, USA.

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