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Futo Ueda, Hiroto Tanouchi, Nobuyuki Egusa and Takuya Yoshihiro
River water-level prediction is crucial for mitigating flood damage caused by torrential rainfall. In this paper, we attempt to predict river water levels using a deep learning model based on radar rainfall data instead of data from upstream hydrological...
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Lav Kumar Gupta, Manish Pandey, P. Anand Raj and Jaan H. Pu
Scouring around the bridge pier is a natural and complex phenomenon that results in bridge failure. Failure of bridges have potential devastation and public safety and economic loss, which lead to political consequences and environmental impacts. Therefo...
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Meelan Thondoo, Daniel H. De Vries, David Rojas-Rueda, Yashila D. Ramkalam, Ersilia Verlinghieri, Joyeeta Gupta and Mark J. Nieuwenhuijsen
Background: Conducting health impact assessments (HIAs) is a growing practice in various organizations and countries, yet scholarly interest in HIAs has primarily focused on the synergies between exposure and health outcomes. This limits our understandin...
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Saeed H. Alsamhi, Ou Ma, M. Samar Ansari and Sachin Kumar Gupta
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Ehsan H. Chowdhury, Quazi K. Hassan, Gopal Achari and Anil Gupta
The lower Athabasca River watershed is one of the most important regions for Alberta and elsewhere due to fact that it counts for the third largest oil reserve in the world. In order to support the oil and gas extraction, Athabasca River provides most of...
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T.-H. Hubert Chan, Kedar Dhamdhere, Anupam Gupta, Jon Kleinberg, and Aleksandrs Slivkins
Pág. 2303 - 2329
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Scott A. Neslin, Sunil Gupta, Wagner Kamakura, Junxiang Lu, and Charlotte H. Mason
Anja Lambrecht and Bernd Skiera
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Gupta, H.; Mumick, I.S.
Pág. 24 - 43
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Shen, H. Machineni, S. Gupta, C. Papandreou-Suppappola, A.
Pág. 497 - 500
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Gupta, K. C. Ramadoss, R. Zhang, H.
Pág. 1306 - 1311
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