Data for: Temperature and Temporal Drift Compensation for Al2O3-gate ISFET-based pH Sensor using Machine Learning Techniques

Published: 24 Feb 2020 | Version 1 | DOI: 10.17632/wjdfbdkh5z.1
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Description of this data

This contains the data for ISFET SPICE Macromodel and the CVCC circuit schematic and netlist. It also contains data for various ML techniques and Bayesian inference for temperature and temporal drift compensation.

Experiment data files

This data is associated with the following publication:

Temperature and temporal drift compensation for Al2O3-gate ISFET-based pH sensor using machine learning techniques

Published in: Microelectronics Journal

Latest version

  • Version 1

    2020-02-24

    Published: 2020-02-24

    DOI: 10.17632/wjdfbdkh5z.1

    Cite this dataset

    Sinha, Soumendu; Sahu, Nishad; Sharma, Rishi; Mukhiya, Ravindra; Ahuja, Hitesh; Bhardwaj, Rishabh (2020), “Data for: Temperature and Temporal Drift Compensation for Al2O3-gate ISFET-based pH Sensor using Machine Learning Techniques”, Mendeley Data, v1 http://dx.doi.org/10.17632/wjdfbdkh5z.1

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Categories

Machine Learning, Sensor, Ion Sensitive Field Effect Transistor, Spice, Bayesian Inference, Electrochemical Sensor

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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