Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Rolla Almodfer"'
Autor:
Jifei Zhao, Chenfan Du, Yi Li, Mohammed Mudhsh, Dawei Guo, Yuqian Fan, Xiaoying Wu, Xinfa Wang, Rolla Almodfer
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Pomegranate is an important fruit crop that is usually managed manually through experience. Intelligent management systems for pomegranate orchards can improve yields and address labor shortages. Fast and accurate detection of pomegranates i
Externí odkaz:
https://doaj.org/article/66f2d10d6a4341c1bef8f4dd728ab536
Publikováno v:
Agronomy, Vol 14, Iss 8, p 1733 (2024)
Accurately recognizing apples in complex environments is essential for automating apple picking operations, particularly under challenging natural conditions such as cloudy, snowy, foggy, and rainy weather, as well as low-light situations. To overcom
Externí odkaz:
https://doaj.org/article/cfd8fe8493374810bd299809c7058d6d
Publikováno v:
IET Image Processing, Vol 17, Iss 10, Pp 2838-2854 (2023)
Abstract Plant leaf classification is a crucial task in the field of computer vision and pattern recognition, with various applications such as plant species identification and disease diagnosis. In this paper, the authors introduce the Pyramid Blurr
Externí odkaz:
https://doaj.org/article/b3370a56327646cabe3bb4cc7a62994d
Publikováno v:
Data in Brief, Vol 50, Iss , Pp 109468- (2023)
Machine learning and deep learning have grown very rapidly in recent years and are widely used in agriculture. Neat and clean datasets are a major requirement for building accurate and robust machine learning models and minimizing misclassification i
Externí odkaz:
https://doaj.org/article/f7520b17a1984f6fa1d793006a9ad795
Autor:
Mohammed Mudhsh, Emad M.S. El-Said, Ahmad O. Aseeri, Rolla Almodfer, Mohamed Abd Elaziz, Samir M. Elshamy, Ammar H. Elsheikh
Publikováno v:
Case Studies in Thermal Engineering, Vol 49, Iss , Pp 103294- (2023)
The study of the fluid flow in heat exchangers and its related mass and heat transfer processes is a very complicated research subject. Modeling of coupled fluid flow and heat transfer processes using numerical and analytical approaches are cumbersom
Externí odkaz:
https://doaj.org/article/3d0c062890a64c2e8550fe70b54b4e4c
Autor:
Rolla Almodfer, Mohammed Mudhsh, Samah Alshathri, Dalia Yousri, Laith Abualigah, Osama Farouk Hassan, Mohamed Abd Elaziz
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
PV cell/module/characteristic array accuracy is mainly influenced by their circuit elements, based on established circuit characteristics, under varied radiation and temperature operating conditions. As a result, this study provides a modified access
Externí odkaz:
https://doaj.org/article/ab85f149f1a14d9aac3f3cd0b8d3cfea
Autor:
Rolla Almodfer, Mohammed Mudhsh, Samah Alshathri, Laith Abualigah, Mohamed Abd Elaziz, Khurram Shahzad, Mohamed Issa
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
In this study, we proposed an alternative method to determine the parameter of the proton exchange membrane fuel cell (PEMFC) since there are multiple variable quantities with diverse nonlinear characteristics included in the PEMFC design, which is s
Externí odkaz:
https://doaj.org/article/c722bc6d69ff4fcd87a59c35c6d3be44
Autor:
Rolla Almodfer, Mohamed E. Zayed, Mohamed Abd Elaziz, Moustafa M. Aboelmaaref, Mohammed Mudhsh, Ammar H. Elsheikh
Publikováno v:
Case Studies in Thermal Engineering, Vol 31, Iss , Pp 101797- (2022)
In this study, the performance of a solar thermoelectric air-conditioning system (STEACS) is predicted using advanced optimized artificial intelligence models. A STEACS powered by solar PV panels is experimentally tested under different cooling loads
Externí odkaz:
https://doaj.org/article/8ddf948297964bb8a88814137b73703e
Autor:
MohammedAli Mudhsh, Rolla Almodfer
Publikováno v:
Information, Vol 8, Iss 3, p 105 (2017)
The traditional algorithms for recognizing handwritten alphanumeric characters are dependent on hand-designed features. In recent days, deep learning techniques have brought about new breakthrough technology for pattern recognition applications, espe
Externí odkaz:
https://doaj.org/article/e10324c3dc9d432da7c359ae87ceca62
Autor:
Rolla Almodfer, Mohammed Mudhsh
Publikováno v:
SSRN Electronic Journal.