Embedded Artificial Intelligence Approach for Gas Recognition in Smart Agriculture Applications Using Low Cost MOX Gas Sensors-Reference-Cited by-同舟云学术

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Embedded Artificial Intelligence Approach for Gas Recognition in Smart Agriculture Applications Using Low Cost MOX Gas Sensors

Published:2021-04-27 Issue: Volume: Page:
ISSN:
Container-title:2021 Smart Systems Integration (SSI)
language:
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Author:

Bruno Claudia,Licciardello Antonella,Nastasi Giuseppe Antonio Maria,Passaniti Fabio,Brigante Carmen,Sudano Francesco,Faulisi Alessandro,Alessi Enrico

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9466933/9466951/09467029.pdf?arnumber=9467029

Cited by 9 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. Detection of Volatile Organic Compounds through Spectroscopic Signatures in Nanoporous Fabry–Pérot Optical Microcavities;ACS Applied Materials & Interfaces;2024-05-06

2. A New Technique of Soluble NPK Nutrient Detection System Using Deep Learning-Based Recurrent Neural Networks (RNN);2024 12th International Electrical Engineering Congress (iEECON);2024-03-06

3. TinyML-based Event Detection: An Edge-Cloud Approach for Smart Agriculture over LoRa WSNs;2023 8th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM);2023-11-10

4. An Algorithm Based on Transformer and Temporal Convolution Network for Early Identification of Ternary Gas Mixture;IEEE Sensors Journal;2023-10-01

5. Near‐Infrared InGaAs Intelligent Spectral Sensor by 3D Heterogeneous Hybrid Integration;Advanced Photonics Research;2023-06-20

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