25 citations as recorded by crossref.

1. Hierarchical ZnO/CuO nanostructures for room temperature detection of carbon dioxide S. Keerthana & K. Rathnakannan 10.1016/j.jallcom.2021.162988
2. A fast calibration algorithm for Non-Dispersive Infrared single channel carbon dioxide sensor based on deep learning K. Mao et al. 10.1016/j.comcom.2021.08.003
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4. Metrology for low-cost CO<sub>2</sub> sensors applications: the case of a steady-state through-flow (SS-TF) chamber for CO<sub>2</sub> fluxes observations R. Curcoll et al. 10.5194/amt-15-2807-2022
5. On Data-Driven Self-Calibration for IoT-Based Gas Concentration Monitoring Systems Y. You et al. 10.1109/JIOT.2022.3144934
6. A Review of Gas Measurement Practices and Sensors for Tunnels J. Cepa et al. 10.3390/s23031090
7. Room temperature operated carbon dioxide sensor based on silver doped zinc oxide/cupric oxide nanoflowers S. Keerthana & K. Rathnakannan 10.1016/j.snb.2022.133181
8. Observed decreases in on-road CO<sub>2</sub> concentrations in Beijing during COVID-19 restrictions D. Liu et al. 10.5194/acp-21-4599-2021
9. Research overview of urban carbon emission measurement and future prospect for GHG monitoring network T. Xiong et al. 10.1016/j.egyr.2023.04.047
10. Carbon Dioxide Sensing—Biomedical Applications to Human Subjects E. Dervieux et al. 10.3390/s22010188
11. Critical method needs in measuring greenhouse gas fluxes D. Bastviken et al. 10.1088/1748-9326/ac8fa9
12. Indoor air quality monitoring and source apportionment using low-cost sensors C. Higgins et al. 10.1088/2515-7620/ad1cad
13. A portable low-cost device to quantify advective gas fluxes from mofettes into the lower atmosphere: First application to Starzach mofettes (Germany) Y. Büchau et al. 10.1007/s10661-023-12114-8
14. Cost-Efficient measurement platform and machine-learning-based sensor calibration for precise NO2 pollution monitoring A. Pietrenko-Dabrowska et al. 10.1016/j.measurement.2024.115168
15. Statistical data pre-processing and time series incorporation for high-efficacy calibration of low-cost NO2 sensor using machine learning S. Koziel et al. 10.1038/s41598-024-59993-6
16. Machine-learning-based precise cost-efficient NO2 sensor calibration by means of time series matching and global data pre-processing S. Koziel et al. 10.1016/j.jestch.2024.101729
17. Challenges in Monitoring Atmospheric CO2 Concentrations in Seoul Using Low-Cost Sensors C. Park et al. 10.1007/s13143-020-00213-2
18. Time-Adaptive Expectation Maximization Learning Framework for HMM Based Data-Driven Gas Sensor Calibration Y. You & T. Oechtering 10.1109/TII.2022.3215960
19. On Memory-Based Precise Calibration of Cost-Efficient NO2 Sensor Using Artificial Intelligence and Global Response Correction S. Koziel et al. 10.1016/j.knosys.2024.111564
20. Compact Non-Dispersive Infrared Multi-Gas Sensing Platform for Large Scale Deployment with Sub-ppm Resolution B. Wastine et al. 10.3390/atmos13111789
21. The Berkeley Environmental Air-quality and CO<sub>2</sub> Network: field calibrations of sensor temperature dependence and assessment of network scale CO<sub>2</sub> accuracy E. Delaria et al. 10.5194/amt-14-5487-2021
22. Evaluation of low-cost formaldehyde sensors calibration M. Justo Alonso et al. 10.1016/j.buildenv.2022.109380
23. On the Large Variation in Atmospheric CO2 Concentration at Shangdianzi GAW Station during Two Dust Storm Events in March 2021 X. Li et al. 10.3390/atmos14091348
24. Evaluation of Low-Cost CO2 Sensors Using Reference Instruments and Standard Gases for Indoor Use Q. Cai et al. 10.3390/s24092680
25. Calibrations of Low-Cost Air Pollution Monitoring Sensors for CO, NO2, O3, and SO2 P. Han et al. 10.3390/s21010256