Zobrazeno 1 - 10
of 410
pro vyhledávání: '"Acharki, A."'
Autor:
Ali Raza, Dinesh Kumar Vishwakarma, Siham Acharki, Nadhir Al-Ansari, Fahad Alshehri, Ahmed Elbeltagi
Publikováno v:
Applied Water Science, Vol 14, Iss 7, Pp 1-23 (2024)
Abstract Evapotranspiration plays a pivotal role in the hydrological cycle. It is essential to develop an accurate computational model for predicting reference evapotranspiration (RET) for agricultural and hydrological applications, especially for th
Externí odkaz:
https://doaj.org/article/64432260fcc9495aad2e2627a46559c3
Autor:
Salma Zahraoui, Najlae Benjelloun, Mouna Salihoun, Fatiha Bouhamou, Mohammed Acharki, Ilham Serraj, Nawal Kabbaj
Publikováno v:
SAGE Open Medical Case Reports, Vol 12 (2024)
Bullous pemphigoid is a rare chronic autoimmune dermatologic blistering disease that usually affects elderly patients. Mucosal lesions are present in about 10%–35% of cases and affects most frequently the mucous membranes of the eye or the mouth. E
Externí odkaz:
https://doaj.org/article/d58878fa9b4c42d18f60630fb9fcd772
Autor:
Ali Raza, Neyha Rubab Syed, Romana Fahmeed, Siham Acharki, Taghreed Hamdi Aljohani, Sajjad Hussain, Muhammad Zubair, Syeda Mishal Zahra, Abu Reza Md. Towfiqul Islam, Hussein Almohamad, Hazem Ghassan Abdo
Publikováno v:
Discover Sustainability, Vol 5, Iss 1, Pp 1-12 (2024)
Abstract Monitoring and understanding Land Use/Land Cover (LU/LC) is critical for sustainable development, as it can impact various environmental, social, and economic systems. For example, deforestation and land degradation can lead to soil erosion,
Externí odkaz:
https://doaj.org/article/58c42a8fbc4e4b74aebc5f177e122f0b
Publikováno v:
Geo-spatial Information Science, Pp 1-16 (2024)
In contemporary agriculture and environmental management, the need for precise and accurate crop maps has never been more vital. Although object-based (OB) methods within Google Earth Engine (GEE) improve accuracy and output quality in contrast to pi
Externí odkaz:
https://doaj.org/article/5b8285cd9f1b4e328088967e6c9512f4
Conditional Average Treatment Effects (CATE) estimation is one of the main challenges in causal inference with observational data. In addition to Machine Learning based-models, nonparametric estimators called meta-learners have been developed to esti
Externí odkaz:
http://arxiv.org/abs/2205.14714
Autor:
Veettil, Bijeesh Kozhikkodan, Puri, Vikram, Acharki, Siham, Ward, Raymond D., Khoa, Nguyen Dang
Publikováno v:
In Estuarine, Coastal and Shelf Science June 2024 301
Probabilistic regression models typically use the Maximum Likelihood Estimation or Cross-Validation to fit parameters. These methods can give an advantage to the solutions that fit observations on average, but they do not pay attention to the coverag
Externí odkaz:
http://arxiv.org/abs/2106.05396
Autor:
Ali Raza, Neyha Rubab Syed, Romana Fahmeed, Siham Acharki, Sajjad Hussain, Muhammad Zubair, Hussein Almohamad, Joseph Omeiza Alao, Md. Naimur Rahman, Hazem Ghassan Abdo
Publikováno v:
SN Applied Sciences, Vol 5, Iss 11, Pp 1-16 (2023)
Abstract The current study determined the changes in Land Use/Land Change (LU/LC) and variation in land surface temperature (LST) in the Green Belt (Nasirabad district) area of Balochistan, Pakistan. To achieve this, we used GIS software (ArcMap 10.7
Externí odkaz:
https://doaj.org/article/3b7ddce65be444a0be1e5b211a5280bb
Autor:
Arjdal, Youssef, Mridekh, Abdelaziz, Kili, Malika, Acharki, Siham, El Kanti, Sidi Mokhtar, Taia, Soufiane, Echerfaoui, Hassan, El Mansouri, Bouabid
Publikováno v:
In Marine and Petroleum Geology May 2024 163
Autor:
Arjdal, Youssef, Kili, Malika, Taia, Soufiane, Mridekh, Abdelaziz, Acharki, Siham, El Kanti, Sidi Mokhtar, El Mansouri, Bouabid
Publikováno v:
In Groundwater for Sustainable Development May 2024 25