Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Hanan Ahmed Hosni Mahmoud"'
Publikováno v:
Applied Bionics and Biomechanics, Vol 2022 (2022)
In this paper, we are introducing a fast hybrid fuzzy classification algorithm with feature reduction for medical images. We incorporated the quantum-based grasshopper computing algorithm (QGH) with feature extraction using fuzzy clustering technique
Externí odkaz:
https://doaj.org/article/ff172e54e7fc434f81f436933802249c
Publikováno v:
Adsorption Science & Technology, Vol 2022 (2022)
In this paper, we propose a supervised deep learning neural network (D-CNN) approach to predict CO2 adsorption form the textural and compositional features of biomass porous carbon waste and adsorption features. Both the textural and compositional fe
Externí odkaz:
https://doaj.org/article/39d6bd3657624ac78a19df1bbff3d027
Autor:
Hanan Ahmed Hosni Mahmoud
Publikováno v:
Crystals, Vol 13, Iss 1, p 87 (2023)
Deep learning consists of deep convolutional layers and an unsupervised feature selection phase. The feature selection of deep learning on a large size dataset can be employed in correlated prediction models with small size datasets. This methodology
Externí odkaz:
https://doaj.org/article/632bf95c5dd24e0186d78751be17f8f9
Publikováno v:
Crystals, Vol 12, Iss 10, p 1460 (2022)
In materials science, crystal lattice structures are the primary metrics used to measure the structure–property paradigm of a crystal structure. Crystal compounds are understood by the number of various atomic chemical settings, which are associate
Externí odkaz:
https://doaj.org/article/5af0b84404594251b8331d382ffd1f6a
Publikováno v:
Actuators, Vol 11, Iss 10, p 274 (2022)
Localization of suspicious moving objects in dynamic environments requires high accuracy mapping. A deep learning model is proposed to track crossing moving objects in the opposite direction. Moving objects locus measurements are computed from the sp
Externí odkaz:
https://doaj.org/article/0f216df1bc01494d8a7ed11f66da3c9e
Publikováno v:
Crystals, Vol 12, Iss 9, p 1324 (2022)
Detection of defective crystal structures can help in refute such defective structures to decrease industrial defects. In our research, we are concerned with Silicon nitride crystals. There are four types of crystal structure classes, namely no-defec
Externí odkaz:
https://doaj.org/article/7cdce05a94a040f8b63f78fffa040996
Publikováno v:
Behavioral Sciences, Vol 12, Iss 8, p 284 (2022)
Consumer behavior variants are evolving by utilizing advanced packing models. These models can make consumer behavior detection considerably problematic. New techniques that are superior to customary models to be utilized to efficiently observe consu
Externí odkaz:
https://doaj.org/article/548cae7a7bab4de0ba3b83de4e69bb56
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 11, Iss 7, p 379 (2022)
Moving object tracking techniques using machine and deep learning require large datasets for neural model training. New strategies need to be invented that utilize smaller data training sizes to realize the impact of large-sized datasets. However, cu
Externí odkaz:
https://doaj.org/article/42b88c66ff9444c5bcb2727bf7e3ff0d
Publikováno v:
Computers, Materials & Continua. 74:3697-3710
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7dbd2016e65ca0ea7a348e1f6ccd929
https://doi.org/10.32604/cmc.2023.031525
https://doi.org/10.32604/cmc.2023.031525
Publikováno v:
Intelligent Automation & Soft Computing. 35:1423-1439
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24aa72b1485147f4fc291ba904b9ce0f
https://doi.org/10.32604/iasc.2023.028067
https://doi.org/10.32604/iasc.2023.028067