Corrigendum to “Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations: Spatiotemporal outdoor air quality interpolation using geographic data” (Building and Environment (2024) 263, (S0360132324007480), (10.1016/j.buildenv.2024.111906))

Sang Youn Kim; Shahzeb Tariq; Roberto Chang; Usama Ali; Abdulrahman H. Ba-Alawi; Sung Ku Heo; Chang Kyoo Yoo

doi:10.1016/j.buildenv.2024.112220

Corrigendum to “Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations: Spatiotemporal outdoor air quality interpolation using geographic data” (Building and Environment (2024) 263, (S0360132324007480), (10.1016/j.buildenv.2024.111906))

Sang Youn Kim
, Shahzeb Tariq
, Roberto Chang
, Usama Ali
, Abdulrahman H. Ba-Alawi
, Sung Ku Heo
, Chang Kyoo Yoo

Research output: Contribution to journal › Comment/debate

Abstract

The authors regret that they added the second corresponding author to this paper during the paper review process without informing the editors. They violated the journal policy on corresponding authorship. They would like to remove the corresponding authorship of SungKu Heo, who should be only a co-author. The authors would like to apologise for any inconvenience caused.

Original language	English
Article number	112220
Journal	Building and Environment
Volume	267
DOIs	https://doi.org/10.1016/j.buildenv.2024.112220
Publication status	Published - 1 Jan 2025

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Publisher Copyright:
© 2024 Elsevier Ltd

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Kim, S. Y., Tariq, S., Chang, R., Ali, U., Ba-Alawi, A. H., Heo, S. K., & Yoo, C. K. (2025). Corrigendum to “Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations: Spatiotemporal outdoor air quality interpolation using geographic data” (Building and Environment (2024) 263, (S0360132324007480), (10.1016/j.buildenv.2024.111906)). Building and Environment, 267, Article 112220. https://doi.org/10.1016/j.buildenv.2024.112220

Kim, Sang Youn ; Tariq, Shahzeb ; Chang, Roberto et al. / Corrigendum to “Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations : Spatiotemporal outdoor air quality interpolation using geographic data” (Building and Environment (2024) 263, (S0360132324007480), (10.1016/j.buildenv.2024.111906)). In: Building and Environment. 2025 ; Vol. 267.

@article{2214fc08abd0457a8e05b343a07e5f9d,

title = "Corrigendum to “Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations: Spatiotemporal outdoor air quality interpolation using geographic data” (Building and Environment (2024) 263, (S0360132324007480), (10.1016/j.buildenv.2024.111906))",

abstract = "The authors regret that they added the second corresponding author to this paper during the paper review process without informing the editors. They violated the journal policy on corresponding authorship. They would like to remove the corresponding authorship of SungKu Heo, who should be only a co-author. The authors would like to apologise for any inconvenience caused.",

author = "Kim, \{Sang Youn\} and Shahzeb Tariq and Roberto Chang and Usama Ali and Ba-Alawi, \{Abdulrahman H.\} and Heo, \{Sung Ku\} and Yoo, \{Chang Kyoo\}",

note = "Publisher Copyright: {\textcopyright} 2024 Elsevier Ltd",

year = "2025",

month = jan,

day = "1",

doi = "10.1016/j.buildenv.2024.112220",

language = "English",

volume = "267",

journal = "Building and Environment",

issn = "0360-1323",

publisher = "Elsevier B.V.",

}

Kim, SY, Tariq, S, Chang, R, Ali, U, Ba-Alawi, AH, Heo, SK & Yoo, CK 2025, 'Corrigendum to “Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations: Spatiotemporal outdoor air quality interpolation using geographic data” (Building and Environment (2024) 263, (S0360132324007480), (10.1016/j.buildenv.2024.111906))', Building and Environment, vol. 267, 112220. https://doi.org/10.1016/j.buildenv.2024.112220

Corrigendum to “Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations: Spatiotemporal outdoor air quality interpolation using geographic data” (Building and Environment (2024) 263, (S0360132324007480), (10.1016/j.buildenv.2024.111906)). / Kim, Sang Youn; Tariq, Shahzeb; Chang, Roberto et al.
In: Building and Environment, Vol. 267, 112220, 01.01.2025.

Research output: Contribution to journal › Comment/debate

TY - JOUR

T1 - Corrigendum to “Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations

T2 - Spatiotemporal outdoor air quality interpolation using geographic data” (Building and Environment (2024) 263, (S0360132324007480), (10.1016/j.buildenv.2024.111906))

AU - Kim, Sang Youn

AU - Tariq, Shahzeb

AU - Chang, Roberto

AU - Ali, Usama

AU - Ba-Alawi, Abdulrahman H.

AU - Heo, Sung Ku

AU - Yoo, Chang Kyoo

PY - 2025/1/1

Y1 - 2025/1/1

N2 - The authors regret that they added the second corresponding author to this paper during the paper review process without informing the editors. They violated the journal policy on corresponding authorship. They would like to remove the corresponding authorship of SungKu Heo, who should be only a co-author. The authors would like to apologise for any inconvenience caused.

AB - The authors regret that they added the second corresponding author to this paper during the paper review process without informing the editors. They violated the journal policy on corresponding authorship. They would like to remove the corresponding authorship of SungKu Heo, who should be only a co-author. The authors would like to apologise for any inconvenience caused.

UR - https://www.scopus.com/pages/publications/85207803094

U2 - 10.1016/j.buildenv.2024.112220

DO - 10.1016/j.buildenv.2024.112220

M3 - Comment/debate

AN - SCOPUS:85207803094

SN - 0360-1323

VL - 267

JO - Building and Environment

JF - Building and Environment

M1 - 112220

ER -

Kim SY, Tariq S, Chang R, Ali U, Ba-Alawi AH, Heo SK et al. Corrigendum to “Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations: Spatiotemporal outdoor air quality interpolation using geographic data” (Building and Environment (2024) 263, (S0360132324007480), (10.1016/j.buildenv.2024.111906)). Building and Environment. 2025 Jan 1;267:112220. doi: 10.1016/j.buildenv.2024.112220

Corrigendum to “Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations: Spatiotemporal outdoor air quality interpolation using geographic data” (Building and Environment (2024) 263, (S0360132324007480), (10.1016/j.buildenv.2024.111906))

Abstract

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