Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mohamed Abdelnafea"'
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 103555- (2024)
The most significant challenge in the solar energy industry is the increase in PV temperature. Typically, the wavelength range throughout the terrestrial spectrum of the sun is 250 to 2500 nm, while that of the C-Si PV has a response between 750 and
Externí odkaz:
https://doaj.org/article/e0bd80562856474c815805a319f41da0
Autor:
Samia Heshmat, Mohamed AbdElNafea
Publikováno v:
Document Analysis and Recognition – ICDAR 2021 Workshops ISBN: 9783030861971
ICDAR Workshops (1)
ICDAR Workshops (1)
Developing an online handwriting recognition system for Arabic script used in pen-based devices plays an important role in making these devices available and usable for Arabic society. This paper is carried out for Arabic script to overcome the diffi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a6ec253bf0f3f788dbb727edfcbde9e
https://doi.org/10.1007/978-3-030-86198-8_21
https://doi.org/10.1007/978-3-030-86198-8_21
Autor:
Samia Heshmat, Mohamed AbdElNafea
Publikováno v:
2020 International Conference on Innovative Trends in Communication and Computer Engineering (ITCE).
Inthis paper, novel databases for Arabic handwriting recognition, we call them Aswan online Arabic handwritten (AOLAH) databases, are presented. They are designed to help researchers in the field of online Arabic handwriting recognition. The first pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcc74b5bd2c35b219eb8109f411f8e41
https://doi.org/10.1109/itce48509.2020.9047778
https://doi.org/10.1109/itce48509.2020.9047778
Autor:
Samia Heshmat, Mohamed AbdElNafea
Publikováno v:
2019 International Conference on Innovative Trends in Computer Engineering (ITCE).
Developing an online handwriting recognition system for Arabic script used in pen-based devices plays an important role in making these devices available and usable for the Arabic society. This paper develops a preprocessing algorithm for strokes wri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f8e42a5f73b0838b289c47b20ce06f0
https://doi.org/10.1109/itce.2019.8646643
https://doi.org/10.1109/itce.2019.8646643