Zobrazeno 1 - 10
of 609
pro vyhledávání: '"Abdelrahman Kamal"'
Publikováno v:
Water Science, Vol 38, Iss 1, Pp 1-20 (2024)
ABSTRACTThis study utilized machine learning models to predict the discharge coefficient for a sharp-crested triangular side orifice (TSO). The chosen models were the Artificial Neural Network (ANN) and Gene Expression Programming (GEP). Development
Externí odkaz:
https://doaj.org/article/41ae976da53e4f04a1af90048a80d676
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-26 (2024)
Abstract Concrete compressive strength (CS) is a crucial performance parameter in concrete structure design. Reliable strength prediction reduces costs and time in design and prevents material waste from extensive mixture trials. Machine learning tec
Externí odkaz:
https://doaj.org/article/867cd2da4e6f4f9ebc1578d511e7c220
Autor:
Pham Luan Thanh, Oliveira Saulo Pomponet, Abdelrahman Kamal, Gomez-Ortiz David, Nguyen Dat Viet, Vo Quynh Thanh, Eldosouky Ahmed M.
Publikováno v:
Open Geosciences, Vol 16, Iss 1, Pp 4883-95 (2024)
Euler deconvolution is widely used for interpreting magnetic anomalies as it estimates the edges and depths of magnetic sources. Since this method was proposed, there has been an intensive effort to mitigate its primary deficiencies, namely, the gene
Externí odkaz:
https://doaj.org/article/38efe5cd9ee94b4082a4c6e28b27d1c7
Publikováno v:
Open Geosciences, Vol 14, Iss 1, Pp 462-480 (2022)
The estimation of the Curie point depth (CPD) and heat flow (HF) from magnetic data is useful for geothermal and tectonic studies. However, the methodology of estimating these values is still controversial as numerous studies have used different type
Externí odkaz:
https://doaj.org/article/210aafa5f4254a6b9e03923f9ed89a99
Autor:
Eldosouky Ahmed M., Ekwok Stephen E., Akpan Anthony E., Achadu Ogiji-Idaga M., Pham Luan Thanh, Abdelrahman Kamal, Gómez-Ortiz David, Alarifi Saad S.
Publikováno v:
Open Geosciences, Vol 14, Iss 1, Pp 331-340 (2022)
Structural lineaments of Southeast Nigeria were delineated using high-resolution aeromagnetic data. Advanced methods such as enhanced horizontal gradient amplitude (EHGA) involving a 3D model and tilt depth method (TDM) were used in this study. The s
Externí odkaz:
https://doaj.org/article/a8609cb0177f497cbfbb075632b0cce4
Autor:
Orabi Orabi H., Eldosouky Ahmed M., Abdelrahman Kamal, El Gammal Reda M., Nallamuthu Malarkodi, Fnais Mohammed S., Andráš Peter
Publikováno v:
Open Geosciences, Vol 15, Iss 1, Pp p. 377-86 (2023)
During the Late Campanian, sea-level fluctuation occurred in the form of two chert bands and the topmost conglomeratic phosphate beds (CF8a zone). A great transgression event occurred associated with the global warming (CF8b zone) trend indicated by
Externí odkaz:
https://doaj.org/article/f7a9c7d38544462da7e12b6e970d9a56
Autor:
Pham Luan Thanh, Eldosouky Ahmed M., Gómez-Ortiz David, Duong Van-Hao, Abdelrahman Kamal, Alzahrani Hassan
Publikováno v:
Open Geosciences, Vol 13, Iss 1, Pp 1689-1700 (2021)
Estimating the density interface depth is an important task when interpreting gravity data. A range of techniques can be applied for this. Here we compare the effectiveness of the wavenumber and spatial domain techniques for inverting gravity data wi
Externí odkaz:
https://doaj.org/article/30f1fe1f61e744e5962dea2870e6838b
Autor:
El-Raouf Amr Abd, Iqbal Ibrar, Meister Julia, Abdelrahman Kamal, Alzahrani Hassan, Badran Osman M.
Publikováno v:
Open Geosciences, Vol 13, Iss 1, Pp 1328-1344 (2021)
In this study, we investigated the stability and reactivation of preexisting Tonghua landslide deposits in China, including the adjacent stable slope. We used an integrated approach, combining a multichannel analysis of surface waves (MASW) and elect
Externí odkaz:
https://doaj.org/article/c7b49d59ff06431385d21abdace06d9c
Autor:
Kumar, Sachin, Rana, Surinder Singh, Abdelrahman, Kamal, Uddin, Md Galal, Fnais, Mohammed S., Abioui, Mohamed
Publikováno v:
In Energy 15 November 2024 309
Autor:
Singha, Chiranjit, Bhattacharjee, Ishita, Sahoo, Satiprasad, Abdelrahman, Kamal, Uddin, Md Galal, Fnais, Mohammed S., Govind, Ajit, Abioui, Mohamed
Publikováno v:
In Journal of Environmental Management November 2024 370