Enhancing pH prediction accuracy in Al2O3 gated ISFET using XGBoost regressor and stacking ensemble learning
Abstract An ion-sensitive field-effect transistor (ISFET) is widely used in environmental and biomedical applications due to its rapid response, miniaturization, and cost-effectiveness. In this study, a numerical model of an Al₂O₃-gated ISFET was developed to detect pH levels. The effects of gate di...
Saved in:
| Main Authors: | Ashirbad Panda, Rishikesh Datar, Shreyas Deshpande, Gautam Bacher |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-04530-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Design and Performance Analysis of ISFET Using Various Oxide Materials for Biosensing Applications
by: Sankararao Majji, et al.
Published: (2024-01-01) -
Enhanced Oil and Gas Production Forecasting Through Stacked generalization Ensemble Learning Technique
by: Azhar Alyahya, et al.
Published: (2025-06-01) -
Health Risk Classification Using XGBoost with Bayesian Hyperparameter Optimization
by: Syaiful Anam, et al.
Published: (2025-06-01) -
Quasi-synchronous thermocompensation for ISFET-based ionometric devices. Part 2: Implementation
by: Alexey Pavluchenko, et al.
Published: (2021-12-01) -
Quasi-synchronous thermocompensation for ISFET-based ionometric devices. Part 1: Theory and simulation
by: Alexey Pavluchenko, et al.
Published: (2021-09-01)