1,720,952 research outputs found
MANCAPT: Identificação de autores e transcrição de manuscritos
Get PDFEste trabalho explora os desafios da digitalização de documentos manuscritos, com foco na
variabilidade da caligrafia e nas limitações dos sistemas de Reconhecimento Ótico de
Caracteres (OCR) genéricos. Este trabalho consiste na criação de um protótipo designado por
MANCAPT, que apresenta uma solução baseada em tecnologias avançadas, incluindo o
Microsoft AI Document Intelligence, utilizado para a criação de modelos personalizados de
diferentes autorias e transcrição dos manuscritos, e a arquitetura neural InceptionV3, utilizada
para a identificação dos autores dos manuscritos com elevada precisão.
O MANCAPT integra técnicas de pré-processamento como a binarização, remoção de
ruído e normalização da escala, complementadas por data augmentation para criar um conjunto
de treino consistente. Foram utilizadas imagens manuscritas e impressas numa proporção
equilibrada (70% impressas 30% manuscritas), permitindo ao modelo capturar tanto padrões
claros como nuances estilísticas da escrita manual.
Os resultados experimentais demonstraram que a integração do InceptionV3 e do Azure AI
Document Intelligence no sistema aumentou a precisão da identificação de autores para 98% e
reduziu a Taxa de Erro de Caracteres (CER) para 6%, em comparação com o modelo genérico
do Azure AI Document Intelligence, que obteve um CER de 11,3% na transcrição de
manuscritos. A abordagem personalizada do MANCAPT revelou-se crucial para lidar com as
idiossincrasias da escrita, promovendo a eficiência em soluções de OCR.This work explores the challenges of digitizing handwritten documents, focusing on
handwriting variability and the limitations of generic Optical Character Recognition (OCR)
systems. This study involves the creation of a prototype named MANCAPT, which provides a
solution based on advanced technologies, including Microsoft AI Document Intelligence for
the development of customized models for different authors and the transcription of
manuscripts, as well as the neural architecture InceptionV3 for high-precision author
identification.
MANCAPT integrates preprocessing techniques such as binarization, noise removal, and
scale normalization, complemented by data augmentation to create a robust and resilient
training dataset. Handwritten and printed images were used in a balanced proportion (70%
printed, 30% handwritten), allowing the model to capture both clear patterns and stylistic
nuances of manual writing.
Experimental results demonstrated that integrating InceptionV3 with Azure AI Document
Intelligence improved author identification accuracy to 98% and reduced the Character Error
Rate (CER) to 6%, compared to the generic Azure AI Document Intelligence model, which
achieved a CER of 11.3% in manuscript transcription. The personalized approach of
MANCAPT proved crucial in addressing the idiosyncrasies of handwriting, enhancing the
efficiency of OCR solutions
MANCAPT: Identificação de autores e transcrição de manuscritos
Get PDFEste trabalho explora os desafios da digitalização de documentos manuscritos, com foco na
variabilidade da caligrafia e nas limitações dos sistemas de Reconhecimento Ótico de
Caracteres (OCR) genéricos. Este trabalho consiste na criação de um protótipo designado por
MANCAPT, que apresenta uma solução baseada em tecnologias avançadas, incluindo o
Microsoft AI Document Intelligence, utilizado para a criação de modelos personalizados de
diferentes autorias e transcrição dos manuscritos, e a arquitetura neural InceptionV3, utilizada
para a identificação dos autores dos manuscritos com elevada precisão.
O MANCAPT integra técnicas de pré-processamento como a binarização, remoção de
ruído e normalização da escala, complementadas por data augmentation para criar um conjunto
de treino consistente. Foram utilizadas imagens manuscritas e impressas numa proporção
equilibrada (70% impressas 30% manuscritas), permitindo ao modelo capturar tanto padrões
claros como nuances estilísticas da escrita manual.
Os resultados experimentais demonstraram que a integração do InceptionV3 e do Azure AI
Document Intelligence no sistema aumentou a precisão da identificação de autores para 98% e
reduziu a Taxa de Erro de Caracteres (CER) para 6%, em comparação com o modelo genérico
do Azure AI Document Intelligence, que obteve um CER de 11,3% na transcrição de
manuscritos. A abordagem personalizada do MANCAPT revelou-se crucial para lidar com as
idiossincrasias da escrita, promovendo a eficiência em soluções de OCR.This work explores the challenges of digitizing handwritten documents, focusing on
handwriting variability and the limitations of generic Optical Character Recognition (OCR)
systems. This study involves the creation of a prototype named MANCAPT, which provides a
solution based on advanced technologies, including Microsoft AI Document Intelligence for
the development of customized models for different authors and the transcription of
manuscripts, as well as the neural architecture InceptionV3 for high-precision author
identification.
MANCAPT integrates preprocessing techniques such as binarization, noise removal, and
scale normalization, complemented by data augmentation to create a robust and resilient
training dataset. Handwritten and printed images were used in a balanced proportion (70%
printed, 30% handwritten), allowing the model to capture both clear patterns and stylistic
nuances of manual writing.
Experimental results demonstrated that integrating InceptionV3 with Azure AI Document
Intelligence improved author identification accuracy to 98% and reduced the Character Error
Rate (CER) to 6%, compared to the generic Azure AI Document Intelligence model, which
achieved a CER of 11.3% in manuscript transcription. The personalized approach of
MANCAPT proved crucial in addressing the idiosyncrasies of handwriting, enhancing the
efficiency of OCR solutions
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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