Results 151 to 160 of about 54,146 (282)
Enhancing Transformer-Based Language Models for Hungarian Handwritten Text Recognition. [PDF]
Al-Hitawi MAS, Gyöngyössy NM.
europepmc +1 more source
ABSTRACT Aim Chinese‐speaking immigrants in Australia have a higher risk of type 2 diabetes and face more barriers to accessing quality healthcare compared to non‐culturally and linguistically diverse populations. This study aimed to explore the self‐management experiences of Chinese‐speaking Australians with self‐reported lived experience of ...
Min Zhang +3 more
wiley +1 more source
Automated information extraction from plant specimen labels using OCR and large language models. [PDF]
Wen J.
europepmc +1 more source
‘reportless places’: Janet Malcolm and Collage
Critical Quarterly, EarlyView.
Natalie Ferris
wiley +1 more source
ABSTRACT Aim To explore healthcare professionals', patients', and family members' experiences of managing regular medications across the perioperative pathway in a specialist cancer hospital in Melbourne. Design An exploratory qualitative study using a descriptive‐interpretive approach.
Atefeh Mehrabifar +5 more
wiley +1 more source
Image-Based Recognition of Children's Handwritten Arabic Characters Using a Confidence-Weighted Stacking Ensemble. [PDF]
AlShehri H.
europepmc +1 more source
Vision based handwritten character recognition
ABSTRACT VISION BASED HANDWRITTEN CHARACTER RECOGNITION Özcan Öksüz M.S. in Computer Engineering Supervisor: Asst. Prof. Dr. Uğur Güdükbay September, 2003 Online automatic recognition of handwritten text has been an ongoing research problem for four decades.
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Abstract This article examines the section on European integration in the Joint Declaration by British Prime Minister John Major and his Irish counterpart Taoiseach Albert Reynolds in 1993. The Joint Declaration, also known as the ‘Downing Street Declaration’, was a pivotal moment in the Northern Ireland peace process.
Conor J. Kelly +3 more
wiley +1 more source
ResNet18-ThunderSVM: Hybrid intelligence for handwritten digit recognition by fusing deep spatial features and high-performance classification. [PDF]
Zhang C, Tu C, Wang Z, Cao W, Cao W.
europepmc +1 more source
Multi-script handwritten character recognition
Handwritten character recognition plays an important role in transforming raw visual image data obtained from handwritten documents using for example scanners to a format which is understandable by a computer. It is an important application in the field of pattern recognition, machine learning and artificial intelligence.
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