Corrigendum to “Assessing the Effectiveness of Artificial Neural Networks (Ann) and Multiple Linear Regressions (Mlr) in Forecasting Aqi and Pm10 and Evaluating Health Impacts Through Airq+ (Case Study: Tehran)” [Environ. Pollut., 338 (2023) 122623] (Environmental Pollution (2023) 338, (S0269749123016251), (10.1016/J.Envpol.2023.122623))

Corrigendum to “Assessing the Effectiveness of Artificial Neural Networks (Ann) and Multiple Linear Regressions (Mlr) in Forecasting Aqi and Pm10 and Evaluating Health Impacts Through Airq+ (Case Study: Tehran)” [Environ. Pollut., 338 (2023) 122623] (Environmental Pollution (2023) 338, (S0269749123016251), (10.1016/J.Envpol.2023.122623)) Publisher Pubmed

Summary: Science typo fix? Study corrects “forcasting” to “forecasting” in title/abstract—ensures clarity, no impact on findings. #ResearchErratum #ScienceAccuracy

Shams SR¹ ; Kalantary S² ; Jahani A³ ; Parsa Shams SM⁴ ; Kalantari B⁵ ; Singh D¹ ; Moeinnadini M⁶ ; Choi Y¹

Source: Environmental Pollution Published:2024

Abstract

The authors regret In the title, abstract, and the body of the article, the word “forecasting” has been misspelled. It should be changed from “forcasting” to forecasting. The authors would like to apologise for any inconvenience caused. © 2023 Elsevier Ltd

Corrigendum to “Assessing the Effectiveness of Artificial Neural Networks (Ann) and Multiple Linear Regressions (Mlr) in Forecasting Aqi and Pm10 and Evaluating Health Impacts Through Airq+ (Case Study: Tehran)” [Environ. Pollut., 338 (2023) 122623] (Environmental Pollution (2023) 338, (S0269749123016251), (10.1016/J.Envpol.2023.122623))

Style	Citing Format
MLA	Shams SR, et al.. "Corrigendum to “Assessing the Effectiveness of Artificial Neural Networks (Ann) and Multiple Linear Regressions (Mlr) in Forecasting Aqi and Pm10 and Evaluating Health Impacts Through Airq+ (Case Study: Tehran)” [Environ. Pollut., 338 (2023) 122623] (Environmental Pollution (2023) 338, (S0269749123016251), (10.1016/J.Envpol.2023.122623))." Environmental Pollution, vol. 342, no. , 2024, pp. -.
APA	Shams SR, Kalantary S, Jahani A, Parsa Shams SM, Kalantari B, Singh D, Moeinnadini M, Choi Y (2024). Corrigendum to “Assessing the Effectiveness of Artificial Neural Networks (Ann) and Multiple Linear Regressions (Mlr) in Forecasting Aqi and Pm10 and Evaluating Health Impacts Through Airq+ (Case Study: Tehran)” [Environ. Pollut., 338 (2023) 122623] (Environmental Pollution (2023) 338, (S0269749123016251), (10.1016/J.Envpol.2023.122623)). Environmental Pollution, 342(), -.
Chicago	Shams SR, Kalantary S, Jahani A, Parsa Shams SM, Kalantari B, Singh D, Moeinnadini M, Choi Y. "Corrigendum to “Assessing the Effectiveness of Artificial Neural Networks (Ann) and Multiple Linear Regressions (Mlr) in Forecasting Aqi and Pm10 and Evaluating Health Impacts Through Airq+ (Case Study: Tehran)” [Environ. Pollut., 338 (2023) 122623] (Environmental Pollution (2023) 338, (S0269749123016251), (10.1016/J.Envpol.2023.122623))." Environmental Pollution 342, no. (2024): -.
Harvard	Shams SR et al. (2024) 'Corrigendum to “Assessing the Effectiveness of Artificial Neural Networks (Ann) and Multiple Linear Regressions (Mlr) in Forecasting Aqi and Pm10 and Evaluating Health Impacts Through Airq+ (Case Study: Tehran)” [Environ. Pollut., 338 (2023) 122623] (Environmental Pollution (2023) 338, (S0269749123016251), (10.1016/J.Envpol.2023.122623))', Environmental Pollution, 342(), pp. -.
Vancouver	Shams SR, Kalantary S, Jahani A, Parsa Shams SM, Kalantari B, Singh D, et al.. Corrigendum to “Assessing the Effectiveness of Artificial Neural Networks (Ann) and Multiple Linear Regressions (Mlr) in Forecasting Aqi and Pm10 and Evaluating Health Impacts Through Airq+ (Case Study: Tehran)” [Environ. Pollut., 338 (2023) 122623] (Environmental Pollution (2023) 338, (S0269749123016251), (10.1016/J.Envpol.2023.122623)). Environmental Pollution. 2024;342():-.
BibTex	@article{ author = {Shams SR and Kalantary S and Jahani A and Parsa Shams SM and Kalantari B and Singh D and Moeinnadini M and Choi Y}, title = {Corrigendum to “Assessing the Effectiveness of Artificial Neural Networks (Ann) and Multiple Linear Regressions (Mlr) in Forecasting Aqi and Pm10 and Evaluating Health Impacts Through Airq+ (Case Study: Tehran)” [Environ. Pollut., 338 (2023) 122623] (Environmental Pollution (2023) 338, (S0269749123016251), (10.1016/J.Envpol.2023.122623))}, journal = {Environmental Pollution}, volume = {342}, number = {}, pages = {-}, year = {2024} }
RIS	TY - JOUR AU - Shams SR AU - Kalantary S AU - Jahani A AU - Parsa Shams SM AU - Kalantari B AU - Singh D AU - Moeinnadini M AU - Choi Y TI - Corrigendum to “Assessing the Effectiveness of Artificial Neural Networks (Ann) and Multiple Linear Regressions (Mlr) in Forecasting Aqi and Pm10 and Evaluating Health Impacts Through Airq+ (Case Study: Tehran)” [Environ. Pollut., 338 (2023) 122623] (Environmental Pollution (2023) 338, (S0269749123016251), (10.1016/J.Envpol.2023.122623)) JO - Environmental Pollution VL - 342 IS - SP - EP - PY - 2024 ER -

Style

Citing Format

MLA

Shams SR, et al.. "Corrigendum to “Assessing the Effectiveness of Artificial Neural Networks (Ann) and Multiple Linear Regressions (Mlr) in Forecasting Aqi and Pm10 and Evaluating Health Impacts Through Airq+ (Case Study: Tehran)” [Environ. Pollut., 338 (2023) 122623] (Environmental Pollution (2023) 338, (S0269749123016251), (10.1016/J.Envpol.2023.122623))." Environmental Pollution, vol. 342, no. , 2024, pp. -.

APA

Shams SR, Kalantary S, Jahani A, Parsa Shams SM, Kalantari B, Singh D, Moeinnadini M, Choi Y (2024). Corrigendum to “Assessing the Effectiveness of Artificial Neural Networks (Ann) and Multiple Linear Regressions (Mlr) in Forecasting Aqi and Pm10 and Evaluating Health Impacts Through Airq+ (Case Study: Tehran)” [Environ. Pollut., 338 (2023) 122623] (Environmental Pollution (2023) 338, (S0269749123016251), (10.1016/J.Envpol.2023.122623)). Environmental Pollution, 342(), -.

Chicago

Shams SR, Kalantary S, Jahani A, Parsa Shams SM, Kalantari B, Singh D, Moeinnadini M, Choi Y. "Corrigendum to “Assessing the Effectiveness of Artificial Neural Networks (Ann) and Multiple Linear Regressions (Mlr) in Forecasting Aqi and Pm10 and Evaluating Health Impacts Through Airq+ (Case Study: Tehran)” [Environ. Pollut., 338 (2023) 122623] (Environmental Pollution (2023) 338, (S0269749123016251), (10.1016/J.Envpol.2023.122623))." Environmental Pollution 342, no. (2024): -.

Harvard

Shams SR et al. (2024) 'Corrigendum to “Assessing the Effectiveness of Artificial Neural Networks (Ann) and Multiple Linear Regressions (Mlr) in Forecasting Aqi and Pm10 and Evaluating Health Impacts Through Airq+ (Case Study: Tehran)” [Environ. Pollut., 338 (2023) 122623] (Environmental Pollution (2023) 338, (S0269749123016251), (10.1016/J.Envpol.2023.122623))', Environmental Pollution, 342(), pp. -.

Vancouver

Shams SR, Kalantary S, Jahani A, Parsa Shams SM, Kalantari B, Singh D, et al.. Corrigendum to “Assessing the Effectiveness of Artificial Neural Networks (Ann) and Multiple Linear Regressions (Mlr) in Forecasting Aqi and Pm10 and Evaluating Health Impacts Through Airq+ (Case Study: Tehran)” [Environ. Pollut., 338 (2023) 122623] (Environmental Pollution (2023) 338, (S0269749123016251), (10.1016/J.Envpol.2023.122623)). Environmental Pollution. 2024;342():-.

BibTex

@article{ author = {Shams SR and Kalantary S and Jahani A and Parsa Shams SM and Kalantari B and Singh D and Moeinnadini M and Choi Y}, title = {Corrigendum to “Assessing the Effectiveness of Artificial Neural Networks (Ann) and Multiple Linear Regressions (Mlr) in Forecasting Aqi and Pm10 and Evaluating Health Impacts Through Airq+ (Case Study: Tehran)” [Environ. Pollut., 338 (2023) 122623] (Environmental Pollution (2023) 338, (S0269749123016251), (10.1016/J.Envpol.2023.122623))}, journal = {Environmental Pollution}, volume = {342}, number = {}, pages = {-}, year = {2024} }

RIS

TY - JOUR
AU - Shams SR
AU - Kalantary S
AU - Jahani A
AU - Parsa Shams SM
AU - Kalantari B
AU - Singh D
AU - Moeinnadini M
AU - Choi Y
TI - Corrigendum to “Assessing the Effectiveness of Artificial Neural Networks (Ann) and Multiple Linear Regressions (Mlr) in Forecasting Aqi and Pm10 and Evaluating Health Impacts Through Airq+ (Case Study: Tehran)” [Environ. Pollut., 338 (2023) 122623] (Environmental Pollution (2023) 338, (S0269749123016251), (10.1016/J.Envpol.2023.122623))
JO - Environmental Pollution
VL - 342
IS -
SP -
EP -
PY - 2024
ER -

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Abstract