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Low-power adaptive sampling electronic nose system with a Radon transform-based convolutional neural network for optimized gas recognition

Zhuoheng Li, Tao Wang, Jianhua Yang, Yudi Zhu, Wangze Ni, Xiuwei Li, Hongyi Fang, Min Zeng, Nantao Hu, Zhi Yang

2024Sensors and Actuators B Chemical6 citationsDOI

Topics & Concepts

Electronic noseConvolutional neural networkRadonComputer scienceSampling (signal processing)Artificial neural networkPower (physics)Adaptive samplingPattern recognition (psychology)Artificial intelligenceRadon transformEnvironmental scienceComputer visionPhysicsMathematicsFilter (signal processing)StatisticsMonte Carlo methodQuantum mechanicsAdvanced Chemical Sensor TechnologiesInsect Pheromone Research and ControlGas Sensing Nanomaterials and Sensors
Low-power adaptive sampling electronic nose system with a Radon transform-based convolutional neural network for optimized gas recognition | Litcius