Zobrazeno 1 - 10
of 118
pro vyhledávání: '"Khabat Khosravi"'
Autor:
Sanjit Kumar, Mayank Agarwal, Vishal Deshpande, James R. Cooper, Khabat Khosravi, Namal Rathnayake, Yukinobu Hoshino, Komali Kantamaneni, Upaka Rathnayake
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract In river research, forecasting flow velocity accurately in vegetated channels is a significant challenge. The forecasting performance of various independent and hybrid machine learning (ML) models are thus quantified for the first time in th
Externí odkaz:
https://doaj.org/article/4aa47c4f17dd4098be1ce80a0e1dbf9d
Autor:
Khabat Khosravi, Nasrin Attar, Sayed M. Bateni, Changhyun Jun, Dongkyun Kim, Mir Jafar Sadegh Safari, Salim Heddam, Aitazaz Farooque, Soroush Abolfathi
Publikováno v:
Heliyon, Vol 10, Iss 20, Pp e37965- (2024)
Accurate prediction of daily river flow (Qt) remains a challenging yet essential task in hydrological modeling, particularly crucial for flood mitigation and water resource management. This study introduces an advanced M5 Prime (M5P) predictive model
Externí odkaz:
https://doaj.org/article/53a053a30e1c46ecaa7b7bada105b288
Autor:
Muhammad Hassan, Khabat Khosravi, Aitazaz A. Farooque, Travis J. Esau, Alaba Boluwade, Rehan Sadiq
Publikováno v:
Smart Agricultural Technology, Vol 9, Iss , Pp 100559- (2024)
In this study, three novel machine learning algorithms of additive regression-random forest (AR-RF), Iterative Classifier Optimizer (ICO-AR-RF), and multi-scheme (MS-RF) were explored for carbon dioxide (CO2) flux rate prediction from three agricultu
Externí odkaz:
https://doaj.org/article/a03aabe6ffbf45c59a38db990d091283
Autor:
Khabat Khosravi, Aitazaz A. Farooque, Sayed M. Bateni, Changhyun Jun, Dorsa Mohammadi, Zahra Kalantari, James R. Cooper
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 18, Iss 1 (2024)
The potential of advanced tree-based models and optimized deep learning algorithms to predict fluvial bedload transport was explored, identifying the most flexible and accurate algorithm, and the optimum set of readily available and reliable inputs.
Externí odkaz:
https://doaj.org/article/d95945a16c494d448d1ad81fbab6a94f
Autor:
Abolghasem Akbari, Majid Rajabi Jaghargh, Azizan Abu Samah, Jonathan Peter Cox, Mojtaba Gholamzadeh, Alireza Araghi, Patricia M. Saco, Khabat Khosravi
Publikováno v:
Meteorological Applications, Vol 31, Iss 4, Pp n/a-n/a (2024)
Abstract The Google Earth Engine (GEE) was used to investigate the performance of the Global Land Data Assimilation System (GLDAS) soil temperature (ST) data against observed ST from 13 synoptic stations over a semiarid region in Iran. Three‐hourly
Externí odkaz:
https://doaj.org/article/061d9d2d009d41a5aa581a8c0187ed91
Autor:
Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, Carla S. S. Ferreira, Georgia Destouni, Zahra Kalantari
Publikováno v:
Earth's Future, Vol 11, Iss 11, Pp n/a-n/a (2023)
Abstract Flooding is one of the most serious and frequent natural hazards affecting human life, property, and the environment. This study develops and tests a deep learning approach for large‐scale spatial flood modeling, using Convolutional Neural
Externí odkaz:
https://doaj.org/article/81d7fbe09c374627954a187faa2e0e3e
Publikováno v:
Journal of Hydraulic Structures, Vol 6, Iss 2, Pp 23-33 (2020)
This study examines the relations of structures and shapes of streambed evolution after dam break floods. A flume was used to simulate dam-break floods with variations of initial upstream water levels and variance, from uniform to graded, of the bed
Externí odkaz:
https://doaj.org/article/762d9c0701244cdcb88a6f6ec6ab0b7a
Autor:
Mahdi Panahi, Khabat Khosravi, Sajjad Ahmad, Somayeh Panahi, Salim Heddam, Assefa M. Melesse, Ebrahim Omidvar, Chang-Wook Lee
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 38, Iss , Pp 100950- (2021)
Externí odkaz:
https://doaj.org/article/4453cc5309e24c8e837d852a49c49ce1
Publikováno v:
Water, Vol 14, Iss 19, p 3011 (2022)
The accurate forecasts and estimations of the amount of sediment transported by rivers are critical concerns in water resource management and soil and water conservation. The identification of appropriate and applicable models or improvements in exis
Externí odkaz:
https://doaj.org/article/f1757f97867f4959a2c1104947778699
Autor:
Mahdi Panahi, Khabat Khosravi, Sajjad Ahmad, Somayeh Panahi, Salim Heddam, Assefa M Melesse, Ebrahim Omidvar, Chang-Wook Lee
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 35, Iss , Pp 100825- (2021)
Study region: Sixteen different sites from two provinces (Lorestan and Illam) in the western part of Iran were considered for the field data measurement of cumulative infiltration, infiltration rate, and other effective variables that affect infiltra
Externí odkaz:
https://doaj.org/article/c06feaff7f2042cf9aa588ef1f8d315f