Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Hanieh Shabanian"'
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 103250- (2024)
Groundwater level prediction is critical for environmental protection and agricultural planning. Accurate predictions help manage risks associated with excessive groundwater extraction and land subsidence. This study introduces a novel model combinin
Externí odkaz:
https://doaj.org/article/ae459bfa8df24998af68af00a0738b35
Publikováno v:
Environmental Sciences Europe, Vol 36, Iss 1, Pp 1-22 (2024)
Abstract Monitoring water resources requires accurate predictions of rainfall data. Our study introduces a novel deep learning model named the deep residual shrinkage network (DRSN)—temporal convolutional network (TCN) to remove redundant features
Externí odkaz:
https://doaj.org/article/1054675a85534cb8afdfe23cedfdf451
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 3, Pp 102510- (2024)
Water pollution threatens human health, agriculture, and ecosystems. Accurate prediction of water quality parameters is crucial for effective protection. We suggest a novel hybrid deep learning model that enhances the efficiency of Support Vector Mac
Externí odkaz:
https://doaj.org/article/79cb6928c11741b49b63c20bfb90ad4c
Autor:
Mohammad Ehteram, Hanieh Shabanian
Publikováno v:
Energy Reports, Vol 10, Iss , Pp 3402-3417 (2023)
The world is increasingly embracing cleaner and more sustainable energy sources, with solar energy playing a crucial role in mitigating greenhouse gas emissions and addressing climate change. Accurate solar radiation predictions are vital for optimiz
Externí odkaz:
https://doaj.org/article/f4f01f7879394ef8a0dd62a7115bc519
Autor:
Marzieh Khosravi, Bushra Monowar Duti, Munshi Md Shafwat Yazdan, Shima Ghoochani, Neda Nazemi, Hanieh Shabanian
Publikováno v:
Eng, Vol 4, Iss 3, Pp 1933-1950 (2023)
Implementing multivariate predictive analysis to ascertain stream-water (SW) parameters including dissolved oxygen, specific conductance, discharge, water level, temperature, pH, and turbidity is crucial in the field of water resource management. Thi
Externí odkaz:
https://doaj.org/article/6aed9d8cc4bf448fb2c4de777990dbe1
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-17 (2022)
Abstract Dense disparities among multiple views are essential for estimating the 3D architecture of a scene based on the geometrical relationship between the scene and the views or cameras. Scenes with larger extents of homogeneous textures, differin
Externí odkaz:
https://doaj.org/article/b1224cdccc9c400fa64098de54460316
Publikováno v:
Applied Sciences, Vol 12, Iss 22, p 11760 (2022)
Optical Character Recognition (OCR) is a system of converting images, including text,into editable text and is applied to various languages such as English, Arabic, and Persian. While these languages have similarities, their fundamental differences c
Externí odkaz:
https://doaj.org/article/30b5f8998b6e41b3857760fd50e76722
Publikováno v:
Hydrology, Vol 9, Iss 11, p 202 (2022)
River flow prediction is a pivotal task in the field of water resource management during the era of rapid climate change. The highly dynamic and evolving nature of the climatic variables, e.g., precipitation, has a significant impact on the temporal
Externí odkaz:
https://doaj.org/article/c76b89673f1946928ca50f43b8297dfa
Autor:
Marzieh Khosravi, Bushra Monowar Duti, Munshi Md Shafwat Yazdan, Shima Ghoochani, Neda Nazemi, Hanieh Shabanian
Multivariate predictive analysis of the Stream-Water (SW) parameters (discharge, water level, temperature, dissolved oxygen, pH, turbidity, and specific conductance) is a pivotal task in the field of water resource management during the era of rapid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0acd766f8ef8fb4f7bf4a9acf0c833ef
https://doi.org/10.20944/preprints202302.0086.v2
https://doi.org/10.20944/preprints202302.0086.v2
Autor:
Wisdom Akatu, Marzieh Khosravi, Md Abdullah Al Mehedi, Jones Mantey, Hamed Tohidi, Hanieh Shabanian
The dynamics of suspended sediment involves inherent non-linearity and complexity as a result of the presence of both spatial variability of the basin characteristics and temporal climatic patterns. As a result of this complexity, the conventional se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a31da7b9620fb5c10632ee3275571a4