80 citations as recorded by crossref.

1. Sens-BERT: A BERT-Based Approach for Enabling Transferability and Re-Calibration of Calibration Models for Low-Cost Sensors Under Reference Measurements Scarcity M. Narayana et al. 10.1109/JSEN.2024.3362962
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3. Relevance and Reliability of Outdoor SO2 Monitoring in Low-Income Countries Using Low-Cost Sensors R. González Rivero et al. 10.3390/atmos14060912
4. Distributed Multi-Scale Calibration of Low-Cost Ozone Sensors in Wireless Sensor Networks J. Barcelo-Ordinas et al. 10.3390/s19112503
5. Improving data reliability: A quality control practice for low-cost PM2.5 sensor network X. Qiao et al. 10.1016/j.scitotenv.2021.146381
6. Unravelling a black box: an open-source methodology for the field calibration of small air quality sensors S. Schmitz et al. 10.5194/amt-14-7221-2021
7. Examining spatiotemporal variability of urban particulate matter and application of high-time resolution data from a network of low-cost air pollution sensors S. Feinberg et al. 10.1016/j.atmosenv.2019.06.026
8. Establishing A Sustainable Low-Cost Air Quality Monitoring Setup: A Survey of the State-of-the-Art M. Narayana et al. 10.3390/s22010394
9. Field evaluation of low-cost electrochemical air quality gas sensors under extreme temperature and relative humidity conditions R. Papaconstantinou et al. 10.5194/amt-16-3313-2023
10. Improving Data Quality of Low-cost IoT Sensors in Environmental Monitoring Networks Using Data Fusion and Machine Learning Approach N. Okafor et al. 10.1016/j.icte.2020.06.004
11. Distant calibration of low-cost PM and NO2 sensors; evidence from multiple sensor testbeds J. Hofman et al. 10.1016/j.apr.2021.101246
12. Practice of Air Environment Quality Monitoring Data Visualization Technology Based on Adaptive Wireless Sensor Networks F. Yin & X. Ning 10.1155/2022/4160186
13. Low-Cost CO Sensor Calibration Using One Dimensional Convolutional Neural Network S. Ali et al. 10.3390/s23020854
14. Performance evaluation of ozone and particulate matter sensors H. DeWitt et al. 10.1080/10962247.2020.1713921
15. A Statistical Calibration Framework for Improving Non-Reference Method Particulate Matter Reporting: A Focus on Community Air Monitoring Settings S. Commodore et al. 10.3390/atmos11080807
16. Demonstration of a Low-Cost Multi-Pollutant Network to Quantify Intra-Urban Spatial Variations in Air Pollutant Source Impacts and to Evaluate Environmental Justice R. Tanzer et al. 10.3390/ijerph16142523
17. Smart Citizen Kit and Station: An open environmental monitoring system for citizen participation and scientific experimentation G. Camprodon et al. 10.1016/j.ohx.2019.e00070
18. Performance of NO, NO<sub>2</sub> low cost sensors and three calibration approaches within a real world application A. Bigi et al. 10.5194/amt-11-3717-2018
19. On the robustness of field calibration for smart air quality monitors S. De Vito et al. 10.1016/j.snb.2020.127869
20. Mapping pollution exposure and chemistry during an extreme air quality event (the 2018 Kīlauea eruption) using a low-cost sensor network B. Crawford et al. 10.1073/pnas.2025540118
21. The BErkeley Atmospheric CO<sub>2</sub> Observation Network: field calibration and evaluation of low-cost air quality sensors J. Kim et al. 10.5194/amt-11-1937-2018
22. Long-term evaluation of air sensor technology under ambient conditions in Denver, Colorado S. Feinberg et al. 10.5194/amt-11-4605-2018
23. Application of Gaussian Mixture Regression for the Correction of Low Cost PM2.5 Monitoring Data in Accra, Ghana C. McFarlane et al. 10.1021/acsearthspacechem.1c00217
24. EEATC: A Novel Calibration Approach for Low-Cost Sensors M. Narayana et al. 10.1109/JSEN.2023.3304366
25. Air pollution monitoring network using low-cost sensors, a case study in Hanoi, Vietnam T. Nguyen et al. 10.1088/1755-1315/266/1/012017
26. Calibration and assessment of electrochemical low-cost sensors in remote alpine harsh environments F. Dallo et al. 10.5194/amt-14-6005-2021
27. Low-Cost Investigation into Sources of PM2.5 in Kinshasa, Democratic Republic of the Congo D. Westervelt et al. 10.1021/acsestair.3c00024
28. Performance evaluation of light weight gas sensor system suitable for airborne applications against co-location gas analysers over Delhi A. Ahlawat et al. 10.1016/j.scitotenv.2019.134016
29. Graph Learning Techniques Using Structured Data for IoT Air Pollution Monitoring Platforms P. Ferrer-Cid et al. 10.1109/JIOT.2021.3067717
30. Smart Multi-Sensor Calibration of Low-Cost Particulate Matter Monitors E. Villanueva et al. 10.3390/s23073776
31. Air Quality Sensor Networks for Evidence-Based Policy Making: Best Practices for Actionable Insights J. Hofman et al. 10.3390/atmos13060944
32. Outlier detection and gap filling methodologies for low-cost air quality measurements T. Ottosen & P. Kumar 10.1039/C8EM00593A
33. Calibration of SO2 and NO2 Electrochemical Sensors via a Training and Testing Method in an Industrial Coastal Environment S. Ahumada et al. 10.3390/s22197281
34. A novel application of mobile low-cost sensors for atmospheric particulate matter monitoring in open-pit mines A. Zafra-Pérez et al. 10.1016/j.eti.2022.102974
35. Field and laboratory performance evaluations of 28 gas-phase air quality sensors by the AQ-SPEC program A. Collier-Oxandale et al. 10.1016/j.atmosenv.2019.117092
36. Calibrations of Low-Cost Air Pollution Monitoring Sensors for CO, NO2, O3, and SO2 P. Han et al. 10.3390/s21010256
37. An improved low-power measurement of ambient NO<sub>2</sub> and O<sub>3</sub> combining electrochemical sensor clusters and machine learning K. Smith et al. 10.5194/amt-12-1325-2019
38. Air Pollution Monitoring via Wireless Sensor Networks: The Investigation and Correction of the Aging Behavior of Electrochemical Gaseous Pollutant Sensors I. Christakis et al. 10.3390/electronics12081842
39. Utilization of a Low-Cost Sensor Array for Mobile Methane Monitoring J. Silberstein et al. 10.3390/s24020519
40. The Metrological Qualification of Commercial VOC Multisensor Systems: A Mandatory Step Prior to Indoor Air Quality Monitoring M. Verriele et al. 10.1109/JSEN.2024.3368285
41. Deployment, Calibration, and Cross-Validation of Low-Cost Electrochemical Sensors for Carbon Monoxide, Nitrogen Oxides, and Ozone for an Epidemiological Study C. Zuidema et al. 10.3390/s21124214
42. Investigating the Sources of Urban Air Pollution Using Low-Cost Air Quality Sensors at an Urban Atlanta Site L. Yang et al. 10.1021/acs.est.1c07005
43. The Development of a Low-Cost Particulate Matter 2.5 Sensor Calibration Model in Daycare Centers Using Long Short-Term Memory Algorithms H. Jeon et al. 10.3390/atmos14081228
44. Performance characterization of low-cost air quality sensors for off-grid deployment in rural Malawi A. Bittner et al. 10.5194/amt-15-3353-2022
45. Plume analysis from field evaluations of a portable air quality monitoring system J. Marto et al. 10.1080/10962247.2020.1834010
46. Effect of Relative Humidity and Air Temperature on the Results Obtained from Low-Cost Gas Sensors for Ambient Air Quality Measurements A. Samad et al. 10.3390/s20185175
47. Machine learning calibration of low-cost NO<sub>2</sub> and PM<sub>10</sub> sensors: non-linear algorithms and their impact on site transferability P. Nowack et al. 10.5194/amt-14-5637-2021
48. Volterra Graph-Based Outlier Detection for Air Pollution Sensor Networks P. Ferrer-Cid et al. 10.1109/TNSE.2022.3169220
49. The Merits of a Decentralized Pollution-Monitoring System Based on Distributed Ledger Technology M. Lucking et al. 10.1109/ACCESS.2020.3028430
50. A Variational Bayesian Blind Calibration Approach for Air Quality Sensor Deployments G. Li et al. 10.1109/JSEN.2022.3212009
51. The evaluation and optimization of calibration methods for low-cost particulate matter sensors: Inter-comparison between fixed and mobile methods X. Qin et al. 10.1016/j.scitotenv.2020.136791
52. Evaluating and improving the reliability of gas-phase sensor system calibrations across new locations for ambient measurements and personal exposure monitoring S. Vikram et al. 10.5194/amt-12-4211-2019
53. Measurements of PM<sub>2.5</sub> with PurpleAir under atmospheric conditions K. Ardon-Dryer et al. 10.5194/amt-13-5441-2020
54. Data reconstruction applications for IoT air pollution sensor networks using graph signal processing P. Ferrer-Cid et al. 10.1016/j.jnca.2022.103434
55. Air Quality in Puerto Rico in the Aftermath of Hurricane Maria: A Case Study on the Use of Lower Cost Air Quality Monitors R. Subramanian et al. 10.1021/acsearthspacechem.8b00079
56. Design and Implementation of SEMAR IoT Server Platform with Applications Y. Panduman et al. 10.3390/s22176436
57. Modular Air Quality Calibration and Forecasting Method for Low-Cost Sensor Nodes Y. Hashmy et al. 10.1109/JSEN.2023.3233982
58. State-of-the-Art Low-Cost Air Quality Sensors, Assemblies, Calibration and Evaluation for Respiration-Associated Diseases: A Systematic Review H. Tariq et al. 10.3390/atmos15040471
59. A proposed population-health based metric for evaluating representativeness of air quality monitoring in cities: Using Hong Kong as a demonstration T. Hohenberger et al. 10.1371/journal.pone.0252290
60. Design and testing of a low-cost sensor and sampling platform for indoor air quality J. Tryner et al. 10.1016/j.buildenv.2021.108398
61. Distributed colorimetric interferometer for mapping the pressure distribution in a complex microfluidics network X. Zhu et al. 10.1039/D0LC00960A
62. Stationary and portable multipollutant monitors for high-spatiotemporal-resolution air quality studies including online calibration C. Buehler et al. 10.5194/amt-14-995-2021
63. Evaluation of Low-cost Air Quality Sensor Calibration Models K. Aula et al. 10.1145/3512889
64. Field comparison of electrochemical gas sensor data correction algorithms for ambient air measurements Y. Liang et al. 10.1016/j.snb.2020.128897
65. Multisensor Data Fusion Calibration in IoT Air Pollution Platforms P. Ferrer-Cid et al. 10.1109/JIOT.2020.2965283
66. Low-cost sensors as an alternative for long-term air quality monitoring X. Liu et al. 10.1016/j.envres.2020.109438
67. Impact of Multi-Sensor Technology for Enhancing Global Security in Closed Environments Using Cloud-Based Resources S. Altowaijri et al. 10.3390/jsan8010004
68. A Comparative Study of Calibration Methods for Low-Cost Ozone Sensors in IoT Platforms P. Ferrer-Cid et al. 10.1109/JIOT.2019.2929594
69. Inferring Aerosol Sources from Low-Cost Air Quality Sensor Measurements: A Case Study in Delhi, India D. Hagan et al. 10.1021/acs.estlett.9b00393
70. Poisoning effects of sulfur dioxide in an air stream on spatial proton exchange membrane fuel cell performance T. Reshetenko et al. 10.1016/j.jpowsour.2019.226949
71. A Survey on Sensor Calibration in Air Pollution Monitoring Deployments B. Maag et al. 10.1109/JIOT.2018.2853660
72. Augmenting the Standard Operating Procedures of Health and Air Quality Stakeholders With NASA Resources B. Duncan et al. 10.1029/2021GH000451
73. Evaluation of low-cost gas sensors to quantify intra-urban variability of atmospheric pollutants A. Baruah et al. 10.1039/D2EA00165A
74. Impacts of Modifiable Factors on Ambient Air Pollution: A Case Study of COVID-19 Shutdowns R. Tanzer-Gruener et al. 10.1021/acs.estlett.0c00365
75. Low Cost Sensor With IoT LoRaWAN Connectivity and Machine Learning-Based Calibration for Air Pollution Monitoring S. Ali et al. 10.1109/TIM.2020.3034109
76. Development of a general calibration model and long-term performance evaluation of low-cost sensors for air pollutant gas monitoring C. Malings et al. 10.5194/amt-12-903-2019
77. In search of an optimal in-field calibration method of low-cost gas sensors for ambient air pollutants: Comparison of linear, multilinear and artificial neural network approaches D. Topalović et al. 10.1016/j.atmosenv.2019.06.028
78. A Smart Rig for Calibration of Gas Sensor Nodes M. Benammar et al. 10.3390/s20082341
79. Use of electrochemical sensors for measurement of air pollution: correcting interference response and validating measurements E. Cross et al. 10.5194/amt-10-3575-2017
80. A machine learning calibration model using random forests to improve sensor performance for lower-cost air quality monitoring N. Zimmerman et al. 10.5194/amt-11-291-2018