Improving Long-Term Flood Forecasting Accuracy Using Ensemble Deep Learning Models and an Attention Mechanism-Reference-Cited by-同舟云学术

Improving Long-Term Flood Forecasting Accuracy Using Ensemble Deep Learning Models and an Attention Mechanism

Published:2024-12 Issue:6 Volume:29 Page:
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Kordani Marjan¹,Nikoo Mohammad Reza²^ORCID,Fooladi Mahmood³^ORCID,Ahmadianfar Iman⁴,Nazari Rouzbeh⁵^ORCID,Gandomi Amir H.⁶

Affiliation:

1. Research Assistant, Dept. of Hydrology and Water Resources, Shahid Chamran Univ. of Ahvaz, Ahvaz 6135783151, Iran.

2. Associate Professor, Dept. of Civil and Architectural Engineering, Sultan Qaboos Univ., Muscat 123, Oman (corresponding author). ORCID: .

3. Research Associate, Dept. of Civil Engineering, Isfahan Univ. of Technology, Isfahan 8415683111, Iran. ORCID: .

4. Associate Professor, Dept. of Civil Engineering, Behbahan Khatam Alanbia Univ. of Technology, Behbahan 6361663973, Iran.

5. Chair and Professor, Herff College of Engineering, Dept. of Civil Engineering, The Univ. of Memphis, Memphis, TN 38152. ORCID: .

6. Professor, Dept. of Engineering and I.T., Univ. of Technology Sydney, Ultimo, NSW 2007, Australia; Distinguished Professor, University Research and Innovation Center (EKIK), Óbuda Univ., Budapest 1034, Hungary.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JHYEFF.HEENG-6262

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