Date: March 25, 2026 at 11:34
Format: APA | Mode: all
Results: 0 validated, 4 suggestions, 1 errors out of 5 total
| # | Code | Similarity | Reference |
|---|---|---|---|
| 1 | SUGGESTION | 100% |
ORIGINAL:
Weissert, L.F.; Alberti, K.; Miskell, G.; Pattinson, W.; Salmond, J.A.; Henshaw, G.; Williams, D.E. Low-cost sensors and microscale land use regression: Data fusion to resolve air quality variations with high spatial and temporal resolution. Atmos. Environ. 2019, 213, 285–295.
FORMATTED (APA):
Weissert, L., Alberti, K., Miskell, G., Pattinson, W., Salmond, J., Henshaw, G., & Williams, D. E. (2019). Low-cost sensors and microscale land use regression: Data fusion to resolve air quality variations with high spatial and temporal resolution. Atmospheric Environment, 213, 285-295. https://doi.org/10.1016/j.atmosenv.2019.06.019 |
| 2 | WRONG_JOURNAL | 100% |
ORIGINAL:
Wang, D.; Wang, H.-W.; Lu, K.-F.; Peng, Z.-R.; Zhao, J. Regional Prediction of Ozone and Fine Particulate Matter Using Diffusion Convolutional Recurrent Neural Network. Int. J. Environ. Res. Public Health 2022, 19, 3988.
FORMATTED (APA):
Wang, D., Wang, H., Lu, K., Peng, Z., & Zhao, J. (2022). Regional Prediction of Ozone and Fine Particulate Matter Using Diffusion Convolutional Recurrent Neural Network. International Journal of Environmental Research and Public Health, 19(7), 3988. https://doi.org/10.3390/ijerph19073988 |
| 3 | SUGGESTION | 100% |
ORIGINAL:
Rosca, C.-M.; Stancu, A. Earthquake Prediction and Alert System Using IoT Infrastructure and Cloud-Based Environmental Data Analysis. Appl. Sci. 2024, 14, 10169.
FORMATTED (APA):
Rosca, C., & Stancu, A. (2024). Earthquake Prediction and Alert System Using IoT Infrastructure and Cloud-Based Environmental Data Analysis. Applied Sciences, 14(22), 10169. https://doi.org/10.3390/app142210169 |
| 4 | SUGGESTION | 100% |
ORIGINAL:
Sekula, P.; Ustrnul, Z.; Bokwa, A.; Bochenek, B.; Zimnoch, M. Random Forests Assessment of the Role of Atmospheric Circulation in PM10 in an Urban Area with Complex Topography. Sustainability 2022, 14, 3388.
FORMATTED (APA):
Sekula, P., Ustrnul, Z., Bokwa, A., Bochenek, B., & Zimnoch, M. (2022). Random Forests Assessment of the Role of Atmospheric Circulation in PM10 in an Urban Area with Complex Topography. Sustainability, 14(6), 3388. https://doi.org/10.3390/su14063388 |
| 5 | SUGGESTION | 100% |
ORIGINAL:
Vu, T.V.; Shi, Z.; Cheng, J.; Zhang, Q.; He, K.; Wang, S.; Harrison, R.M. Assessing the impact of clean air action on air quality trends in Beijing using a machine learning technique. Atmos. Chem. Phys. 2019, 19, 11303–11314.
FORMATTED (APA):
Vu, T. V., Shi, Z., Cheng, J., Zhang, Q., He, K., Wang, S., & Harrison, R. M. (2019). Assessing the impact of clean air action on air quality trends in Beijing using a machine learning technique. Atmospheric Chemistry and Physics, 19(17), 11303-11314. https://doi.org/10.5194/acp-19-11303-2019 |
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