Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Wafa' Za'al Alma'aitah"'
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:6505-6523
Autor:
Ammar Almasri, Wafa’ Za’al Alma’aitah, Nawaf Farhan Funkur Alshdaifat, Rami S. Alkhawaldeh, Moatsum Alawida
Publikováno v:
Neural Computing and Applications. 34:705-719
Recognising handwritten digits or characters is a challenging task due to noisy data that results from different writing styles. Numerous applications essentially motivate to build an effective recognising model for such purposes by utilizing recent
Publikováno v:
Multimedia Tools and Applications. 80:12175-12194
Digital resource objects (DRO) are among the most valuable resources that store the accumulated knowledge of humankind. Nowadays, many organisations aim to make these resources available to users. Basically, Dirichlet smoothing (DS) model is widely u
Publikováno v:
Information Processing & Management. 60:103140
Publikováno v:
Artificial Intelligence Review. 53:3621-3646
Machine processable data that narrate digital/non-digital resources are termed as metadata. Different metadata standards exist for describing various types of digital objects. Several researches have reported on how to address issues related to acces
Autor:
Wafa’ Za’al Alma’aitah
Publikováno v:
International Journal of Advanced Trends in Computer Science and Engineering. 8:17-22
Publikováno v:
Lecture Notes on Data Engineering and Communications Technologies ISBN: 9783030707125
Rapid growth of digital resource objects (DRO) and the valuable contents in such resources have increased the availability of these resources to the users. In attempting to enhance the accessibility of these resources, it is necessary to cater the ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fa61b02330dae94655635fcdd06be1a
https://doi.org/10.1007/978-3-030-70713-2_40
https://doi.org/10.1007/978-3-030-70713-2_40