Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Amira S. Mahmoud"'
Autor:
Sayed A. Sayed, Amira S. Mahmoud, Eslam Farg, Amany M. Mohamed, Ahmed M. Saleh, Mohamed A. E. AbdelRahman, Marwa Moustafa, Hisham M. AbdelSalam, Sayed M. Arafat
Publikováno v:
Journal of Electrical Systems and Information Technology, Vol 10, Iss 1, Pp 1-20 (2023)
Abstract The Egyptian economy relies heavily on the agricultural sector. As the population grows, arable land will diminish in the next decades. This makes food supply a priority. Big data could help the agriculture sector to address food security, e
Externí odkaz:
https://doaj.org/article/eb54e58800634ad9bb36d7497354be41
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Cellulose and Nanocellulose acetate (NCA) have attractive novel properties like excellent mechanical properties, rich hydroxyl groups for modification, and natural properties with environmental friendliness. Cellulose was extracted from rice
Externí odkaz:
https://doaj.org/article/70e0df7fdf4d4c6ba7ce90ec8fffc211
Autor:
Sayed Ahmed, Amira S. Mahmoud, Eslam Farg, Amany M. Mohamed, Marwa S. Moustafa, Khaled Abutaleb, Ahmed M. Saleh, Mohamed A.E. AbdelRahman, Hisham M. AbdelSalam, Sayed M. Arafat
Publikováno v:
Heliyon, Vol 9, Iss 2, Pp e13339- (2023)
The agriculture sector in Egypt faces several problems, such as climate change, water storage, and yield variability. The comprehensive capabilities of Big Data (BD) can help in tackling the uncertainty of food supply occurs due to several factors su
Externí odkaz:
https://doaj.org/article/41fa3ac0a2b14b7a8821f76c9369306d
Autor:
Amira S. Mahmoud, Sayed A. Mohamed, Marwa S. Moustafa, Reda A. El-Khorib, Hisham M. Abdelsalam, Ihab A. El-Khodary
Publikováno v:
IEEE Access, Vol 9, Pp 90366-90378 (2021)
Change Detection (CD) is a hot remote sensing topic where the change zones are highlighted by analyzing bi-temporal or multi-temporal images. Recently, Deep learning (DL) paved the road to implement various reliable change detection approaches that o
Externí odkaz:
https://doaj.org/article/83a00db3778e49af994052a9cc5b5250
Publikováno v:
Polymers, Vol 14, Iss 22, p 4924 (2022)
The rising significance of the field of biopolymers has driven the rapid progress of this distinctive class of polymeric materials in the past decades. Biodegradable polymers have acquired much attention because they play an essential role in humans
Externí odkaz:
https://doaj.org/article/049cbb5821df42d5a929c61a3779ad7e
Autor:
Ekram Rewehel, Li Jianqiang, Amal Hamed, Hatem M. Keshk, Amira S. Mahmoud, Sayed A. Sayed, Ehab Samir, Hind H. Zeyada, Marwa S. Mostafa, Ayman Nasr, Ashraf Helmy
Publikováno v:
Journal of Environmental & Earth Sciences. 5:33-64
Undeniably, Deep Learning (DL) has rapidly eroded traditional machine learning in Remote Sensing (RS) and geoscience domains with applications such as scene understanding, material identification, extreme weather detection, oil spill identification,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fad3712e244ed18cfe143d1c414a053
https://doi.org/10.30564/jees.v5i1.5232
https://doi.org/10.30564/jees.v5i1.5232
Autor:
Amira S. Mahmoud, Sayed A. Mohamed, Reda A. El-Khoriby, Hisham M. AbdelSalam, Ihab A. El-Khodary
Publikováno v:
Journal of the Indian Society of Remote Sensing. 51:121-133
Oil spills cause tremendous damage to marine, coastal environments, and ecosystems. Previous deep learning-based studies have addressed the task of detecting oil spills as a semantic segmentation problem. However, further improvement is still require
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46cca76ab252fc6842d34d37bbfaf52b
https://doi.org/10.1007/s12524-022-01624-6
https://doi.org/10.1007/s12524-022-01624-6
Autor:
Mohamad Abd Elkodous, Hesham A. Hamad, Mohamad I. A. Abdel Maksoud, Gomaa A. M. Ali, Mouna El Abboubi, Ahmed G. Bedir, Ahmed A. Eldeeb, Abdelmoneim A. Ayed, Zineb Gargar, Fatma S. Zaki, Dina A. M. Farage, Atsunori Matsuda, Marina R. Abdelnour, Bassant A. Sabra, Ali Elsayed, Taghreed A. Abdelrazek, Salma T. Abdelhameed, Mohamed A. Gharieb, Maisara M. Rabee, Sahar A. Aboeldiar, Nadeen A. Abdo, Abdullah M. Elwakeel, Amira S. Mahmoud, Moustafa M. M. Elsaid, Wafaa M. Omar, Rinad Abu Hania, Nouran G. Mahmoud, Ahmed S. S. Elsayed, Tarek M. Mohamed, Muhamed A. Sewidan, Mostafa A. M. Sayed, Abdulrahman A. Abbas, Ahmed H. Elsayed, Alaa Marouf Alazab, Mohamed A. Basyooni, Mona Magdy, Eman A. Mashaly, Omnia M. Salem, Suzan Saber, Ahmad Ali Hafez, Wai Kian Tan, Go Kawamura
Publikováno v:
Nanotechnology Reviews. 11:2215-2294
Agriculture and industrial wastes (AIWs) have attracted much attention because of their huge environmental, economic, and social impacts. AIWs have been considered a crucial link of a closed-loop for the fabrication of nanomaterials and composites wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f30f9b5ca7e866f3275569ade751c273
https://doi.org/10.1515/ntrev-2022-0129
https://doi.org/10.1515/ntrev-2022-0129
1,2-Dichloroethane(DCE) is one of the maximum critical chlorinated unstable natural pollution in waste liquid and has been indexed as a tough pollutant via way of means of numerous regulatory groups global. It is substantially used as a precursor wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb13de5888c7320a595fa81cc22422d8
https://doi.org/10.21203/rs.3.rs-1902759/v1
https://doi.org/10.21203/rs.3.rs-1902759/v1
Autor:
Marwa Moustafa, Hisham M. Abdelsalam, Amira S. Mahmoud, Sayed A. Mohamed, Reda A. El-Khorib, Ihab A. El-Khodary
Publikováno v:
IEEE Access, Vol 9, Pp 90366-90378 (2021)
Change Detection (CD) is a hot remote sensing topic where the change zones are highlighted by analyzing bi-temporal or multi-temporal images. Recently, Deep learning (DL) paved the road to implement various reliable change detection approaches that o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e1254ccb416ea66ba13bf6c15b473cc
https://ieeexplore.ieee.org/document/9456864/
https://ieeexplore.ieee.org/document/9456864/