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Rational design of hybrid sensor arrays combined synergistically with machine learning for rapid response to a hazardous gas leak environment in chemical plants

Wonseok Ku, Geonhee Lee, Ju‐Yeon Lee, Ju‐Yeon Lee, Do‐Hyeong Kim, Ki‐Hong Park, Jongtae Lim, Donghwi Cho, Seung-Chul Ha, Byung-Gil Jung, Heesu Hwang, Wooseop Lee, Huisu Shin, Ha Seon Jang, Wooseop Lee, Huisu Shin, Jin‐Ha Hwang, Jeong-O Lee, Jeong-O Lee, Jin‐Ha Hwang

2024Journal of Hazardous Materials62 citationsDOI

Topics & Concepts

Electrochemical gas sensorSensor arrayGas leakGas detectorStack (abstract data type)LeakHazardous wasteAnalyteComputer scienceDetectorEngineeringChemistryElectrical engineeringMachine learningProgramming languageEnvironmental engineeringOrganic chemistryPhysical chemistryElectrodeWaste managementElectrochemistryGas Sensing Nanomaterials and SensorsAdvanced Chemical Sensor TechnologiesAir Quality Monitoring and Forecasting
Rational design of hybrid sensor arrays combined synergistically with machine learning for rapid response to a hazardous gas leak environment in chemical plants | Litcius