Recent advances in gas and environmental sensing: From micro/nano to the era of self-powered and artificial intelligent (AI)-enabled device

Zhu, Jianxiong; Wen, Haiying; Yang, Fan; Yang, Xiuli; Zhang, Hui; Wu, Wenyu; Zhou, Yijun; Hu, Haibing

doi:10.1016/j.microc.2022.107833

Cited by 9 publications

(2 citation statements)

References 78 publications

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“…228 and managing intricate, multidimensional datasets. 267,268 Advanced articial intelligence techniques, including machine learning (ML), could help to boost the performance of this kind of sensors for medical applications, 269 nanotoxicology, 270 neural prosthesis, 271 wireless technology, 272 smart agriculture, 273 environmental monitoring, 274 and advanced medical manufacturing technologies. 275 ML is a pivotal category within the realm of informatics, offering methodologies that enable machines to learn from data autonomously.…”

Section: Applications Of Machine Learning In the Nanosensors Fieldmentioning

confidence: 99%

“…1,266 These challenges include detecting analyte concentrations at ultralow levels (down to parts per billion or nanomolar levels), coping with complex sample matrices containing numerous interfering species, addressing issues related to differentiating isomers and structural analogs, and managing intricate, multidimensional datasets. 267,268 Advanced artificial intelligence techniques, including machine learning (ML), could help to boost the performance of this kind of sensors for medical applications, 269 nanotoxicology, 270 neural prosthesis, 271 wireless technology, 272 smart agriculture, 273 environmental monitoring, 274 and advanced medical manufacturing technologies. 275…”

Section: Applications Of Machine Learning In the Nanosensors Fieldmentioning

confidence: 99%

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