A comprehensive review of FET‐based pH sensors: materials, fabrication technologies, and modeling
S Sinha, T Pal - Electrochemical Science Advances, 2022 - Wiley Online Library
The demand for miniaturized point‐of‐care chemical/biochemical sensors has driven the
development of field‐effect transistors (FETs) based pH sensors over the last 50 years. This …
development of field‐effect transistors (FETs) based pH sensors over the last 50 years. This …
AlGaN/GaN high electron mobility transistor for various sensing applications: a review
AlGaN/GaN high electron mobility transistors (HEMTs) demonstrate exceptional properties
desired for sensing regime applications due to their extraordinary chemical stability, non …
desired for sensing regime applications due to their extraordinary chemical stability, non …
Short‐term electric power load forecasting using factor analysis and long short‐term memory for smart cities
V Veeramsetty, DR Chandra… - International Journal of …, 2021 - Wiley Online Library
Electric load estimation is an important activity for electrical power system operators to
operate the system stably and optimally. This paper develops a machine learning model …
operate the system stably and optimally. This paper develops a machine learning model …
Temperature and temporal drift compensation for Al2O3-gate ISFET-based pH sensor using machine learning techniques
This work presents modeling of temperature and temporal drift characteristics of Al 2 O 3-
gate Ion-Sensitive Field-Effect Transistor (ISFET) and performance enhancement of ISFET …
gate Ion-Sensitive Field-Effect Transistor (ISFET) and performance enhancement of ISFET …
Towards development of an ISFET-based smart pH sensor: Enabling machine learning for drift compensation in IoT applications
Monitoring of pH is crucial for several chemical and biochemical processes. ISFET (Ion-
Sensitive Field-Effect Transistors)-based pH sensors are promising candidates for pH …
Sensitive Field-Effect Transistors)-based pH sensors are promising candidates for pH …
A method for temperature error compensation in fiber-optic gyroscope based on machine learning
Y Cao, W Xu, B Lin, Y Zhu, F Meng, X Zhao, J Ding… - Optik, 2022 - Elsevier
This work presents a machine-learning based method for temperature error compensation of
fiber optic gyroscope (FOG). Alternative to existing methods for constructing samples by …
fiber optic gyroscope (FOG). Alternative to existing methods for constructing samples by …
AlGaN/GaN HEMT Based pH Detection Using Atomic Layer Deposition of Al2O3 as Sensing Membrane and Passivation
Herein, we report the design and implementation of planar and circular aluminium gallium
nitride/Gallium nitride high electron mobility transistor (AlGaN/GaN HEMT) designs for pH …
nitride/Gallium nitride high electron mobility transistor (AlGaN/GaN HEMT) designs for pH …
Comprehensive analytical modelling of an absolute pH sensor
In this work, we present a comprehensive analytical model and results for an absolute pH
sensor. Our work aims to address critical scientific issues such as:(1) the impact of the oxide …
sensor. Our work aims to address critical scientific issues such as:(1) the impact of the oxide …
Fabrication and Performance of a Ta2O5 Thin Film pH Sensor Manufactured Using MEMS Processes
Y Guo, Z Zhang, B Yao, J Chai, S Zhang, J Liu, Z Zhao… - Sensors, 2023 - mdpi.com
In this work, a capacitive pH sensor consisting of Ta2O5 functional film is designed and
fabricated by employing MEMS-based procedures. The Ta2O5 thin film has an amorphous …
fabricated by employing MEMS-based procedures. The Ta2O5 thin film has an amorphous …
Prediction of gas concentration using gated recurrent neural networks
Low-cost gas sensors allow for large-scale spatial monitoring of air quality in the
environment. However they require calibration before deployment. Methods such as …
environment. However they require calibration before deployment. Methods such as …