Theoretical basis for identification and measurement of air contaminants using an array of sensors having partly overlapping selectivities-Reference-Cited by-同舟云学术

Theoretical basis for identification and measurement of air contaminants using an array of sensors having partly overlapping selectivities

Published:1984-12 Issue:4 Volume:6 Page:225-243
ISSN:0250-6874
Container-title:Sensors and Actuators
language:en
Short-container-title:Sensors and Actuators

Author:

Zaromb S.,Stetter J.R.

Publisher

Elsevier BV

Subject

General Engineering

Reference20 articles.

1. Portable gas detection: enhancement of semiconducor capabilities by microcomputer control and signal processing;Tuma,1979

2. Microcomputer control and information processing technology for semiconductor gas sensors;Tuma,1979

3. Portable device for detecting and identifying hazardous vapors;Stetter,1984

4. J. R. Stetter et al., Selective monitoring of hazardous chemicals in emergency situations, Proc. JANNAF Safety and Environmental Protection Subcommittee, Chemical Propulsion Information Agency, Laurel, Md., in press.

5. Portable instrument for the detection and identification of air pollutants;Stetter;Extended Abstracts of the 4th National Symposium on Recent Advances in Pollutant Monitoring of Ambient Air and Stationary Sources, U.S. Environmental Protection Agency, Raleigh, N.C.,8101984

Cited by 94 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ultralow-Power Single-Sensor-Based E-Nose System Powered by Duty Cycling and Deep Learning for Real-Time Gas Identification;ACS Sensors;2024-06-10

2. First-Order Individual Gas Sensors as Next Generation Reliable Analytical Instruments;Applied Spectroscopy;2023-08

3. Portable electronic nose system with elastic architecture and fault tolerance based on edge computing, ensemble learning, and sensor swarm;Sensors and Actuators B: Chemical;2023-01

4. Biomass-derived carbon decorated by gold nanoparticles as efficient methanol electrochemical sensor;Materials Science in Semiconductor Processing;2022-08

5. Target discrimination, concentration prediction, and status judgment of electronic nose system based on large-scale measurement and multi-task deep learning;Sensors and Actuators B: Chemical;2022-01