Results 81 to 90 of about 2,737 (252)

Handwritten Text Recognition for Croatian Glagolitic

open access: yesSlovo, 2021
The paper presents and discusses recent advances in Handwritten Text Recognition (HTR) technologies for handwritten and early printed texts in Croatian Glagolitic script. After elaborating on the general principles of training HTR models with respect to the Transkribus platform used for these experiments, the characteristics of the models trained are ...
openaire   +1 more source

AI‐powered nursing handoffs: Introducing and evaluating the patient report template

open access: yesLearning Health Systems, EarlyView.
Abstract Purpose To understand (1) if nurses view the individual components of the Patient Report Template as useful in their day‐to‐day workflow, and (2) understand the perceptions of nurses related to artificial intelligence use in their day‐to‐day work.
Gabriel Vald   +3 more
wiley   +1 more source

Ancient Yi Script Handwriting Sample Repository

open access: yesScientific Data
The ancient Yi script has been used for over 8000 years, which can be ranked with Oracle,Sumerian,Egyptian,Mayan and Harappan,and is one of the six ancient scripts in the world.
Xiaojuan Liu   +4 more
doaj   +1 more source

Synergistic efforts in specimen digitisation, curation and cataloguing of Brazil's megadiverse flora and funga

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
The advancement of digital technologies has brought a rapid global information exchange, impacting all areas of our lives. This also applies to science. Knowledge, conservation and scientific innovation on global biodiversity are being strengthened and disseminated at unprecedented scales.
Ana Flávia Alves Versiane   +9 more
wiley   +1 more source

Repositories of biocultural diversity: Toward best practices for empowering ethnobotany in digital herbaria

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Societal Impact Statement As herbaria digitize millions of plant specimens, ethnobotanical information associated with them is becoming increasingly accessible. These biocultural data include plant uses, names, and/or management practices of Indigenous Peoples and Local Communities (IPLCs).
Robbie Hart   +23 more
wiley   +1 more source

Enhanced Offline Writer Recognition System Employing Blended Multi-Input CNN and Bi-LSTM Model on Diverse Handwritten Texts [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences
Since author’s writing styles are often ambiguous, writer recognition is an appealing research problem for handwritten manuscript investigation. Pattern identification allows for recognizing the author of a handwritten work.
Naresh Purohit , Subhash Panwar
doaj   +1 more source

Digitization connects scattered specimens and enables new historical research: Plants from the Lady Franklin Bay Expedition (1881–1884)

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Widespread museum digitization initiatives have made the world's herbaria more accessible than ever, launching a renaissance of specimen use. We highlight the value of digitization to bolster both scientific and historical research using the specimens from the Lady Franklin Bay Expedition (1881–1884) to the Canadian arctic, remembered for its tragedy ...
J. Mason Heberling, Jackson P. Wright
wiley   +1 more source

Detection of Text Lines of Handwritten Arabic Manuscripts using Markov Decision Processes

open access: yesInternational Journal of Interactive Multimedia and Artificial Intelligence, 2016
In a character recognition systems, the segmentation phase is critical since the accuracy of the recognition depend strongly on it. In this paper we present an approach based on Markov Decision Processes to extract text lines from binary images of Arabic
Youssef Boulid   +2 more
doaj   +1 more source

Handwritten Text Recognition in Machine Learning

open access: yesInternational Journal of Advanced Research in Science, Communication and Technology
In this machine learning project, we will recognize handwriting text (single English alphabet) this we are going to achieve by modelling a neural network that will have to be trained over a dataset containing images of alphabets.
null Prof. Rupa Lichode   +4 more
openaire   +1 more source

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