Results 61 to 70 of about 160,627 (312)

Intelligent Character Recognition of Arabic Manuscripts in Africa: a Sample from the Manuscripts of Imam Muhammad ibn Abdul Karim Al-Maghili [PDF]

open access: yesAkofena
: This study experimented with the Zinki application for the intelligent recognition of Arabic letters in the manuscript of Imam Muhammad ibn Abdul Karim al-Maghili.
Ahmed BENDAHO & M’hammed MOULAY
doaj   +1 more source

Arabic text recognition [PDF]

open access: yes, 2004
The issue of handwritten character recognition is still a big challenge to the scientific community. Several approaches to address this challenge have been attempted in the last years, mostly focusing on the English pre-printed or handwritten ...
Haraty, Ramzi
core  

The coelurosaur theropods of the Romualdo formation, early Cretaceous (Aptian) of Brazil: Santanaraptor placidus meets Mirischia asymmetrica

open access: yesThe Anatomical Record, EarlyView.
Abstract The upper carbonate concretion levels of the Romualdo Formation (Aptian, Brazil) have yielded several theropod dinosaur remains, including spinosaurids and the coelurosaurs Santanaraptor placidus and Mirischia asymmetrica, the phylogenetic affinities of which are controversial.
Rafael Delcourt   +4 more
wiley   +1 more source

Towards Robust Recognition of Handwritten Arabic Characters with Diacritics Using an Incremental Learning Approach Based on CNNs

open access: yesEmitter: International Journal of Engineering Technology
Handwritten Arabic text recognition (HATR) presents unique challenges due to complex character shapes, contextual variations, cursive connections, and the presence of diacritical marks.
Fatima Aliyu Shugaba   +4 more
doaj   +1 more source

Offline Handwritten Arabic Character Recognition Using Features Extracted from Curvelet and Spatial Domains

open access: yes, 2015
Arabic character recognition is a challenging problem in several artificial intelligence applications, especially when recognizing connected cursive letters.
Mazen Abdullah Bahashwan and Syed Abd Rahman Abu-Bakar
semanticscholar   +1 more source

A hypothesize-and-verify framework for Text Recognition using Deep Recurrent Neural Networks

open access: yes, 2015
Deep LSTM is an ideal candidate for text recognition. However text recognition involves some initial image processing steps like segmentation of lines and words which can induce error to the recognition system.
Chaudhury, Santanu   +2 more
core   +1 more source

How multilingual is scholarly communication? Mapping the global distribution of languages in publications and citations

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract Language is a major source of systemic inequities in science, particularly among scholars whose first language is not English. Studies have examined scientists' linguistic practices in specific contexts; few, however, have provided a global analysis of multilingualism in science. Using two major bibliometric databases (OpenAlex and Dimensions),
Carolina Pradier   +2 more
wiley   +1 more source

A FUZZY RECOGNITION MODEL FOR ARABIC HANDWRITTEN ALPHABET

open access: yesJournal of Engineering, 2008
A fuzzy recognition model for some handwritten Arabic alphabet is designed. This fuzzy model could be envisaged as an algorithm which is structured over two concepts.
Sami Kadhim Hasan Ar-Ramahi
doaj   +1 more source

Empowering citizens to spontaneously report suspected adverse drug reaction: Systematic literature review of interventions and their impact

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
This systematic literature review aimed to identify and characterize existing interventions designed to empower citizens to spontaneously report adverse drug reactions (ADRs) and to determine which interventions have been shown to be the most effective internationally. The research question was structured using the PICO framework.
Margarida Perdigão   +3 more
wiley   +1 more source

Memory-based vocalization of Arabic [PDF]

open access: yes, 2008
The problem of vocalization, or diacritization, is essential to many tasks in Arabic NLP. Arabic is generally written without the short vowels, which leads to one written form having several pronunciations with each pronunciation carrying its own meaning(
Kübler, Sandra, Mohamed, Emad
core  

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