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

Name: Data for: Temperature and Temporal Drift Compensation for Al2O3-gate ISFET-based pH Sensor using Machine Learning Techniques
Creator: Soumendu Sinha
Published: 2019-11-20T04:23:38.062Z
Keywords: Artificial Neural Networks, Field Effect Transistors, Machine Learning, Sensor, Spice, Bayesian Inference

Sinha, Soumendu; Ahuja, Hitesh; Sharma, Rishi; Bhardwaj, Rishabh; Ratnakumar, Rahul; Sahu, Nishad; Mukhiya, Ravindra

doi:10.17632/gcgdpp4n6z.3

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

Published: 20 November 2019| Version 3 | DOI: 10.17632/gcgdpp4n6z.3

Contributors:

Soumendu Sinha, Hitesh Ahuja, Rishi Sharma, Rishabh Bhardwaj, Rahul Ratnakumar, Nishad Sahu, Ravindra Mukhiya

Description

The folder consists of the SPICE macromodel of ISFET, the readout circuit schematic file, SPICE netlist, the output data for ISFET ROIC which is used to train ML algorithms, and results for temperature and temporal drift compensation and performance evaluation parameters.

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

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