[HTML][HTML] Advancements and challenges in handwritten text recognition: A comprehensive survey

W AlKendi, F Gechter, L Heyberger, C Guyeux - Journal of Imaging, 2024 - mdpi.com
Handwritten Text Recognition (HTR) is essential for digitizing historical documents in
different kinds of archives. In this study, we introduce a hybrid form archive written in French …

[PDF][PDF] Automatic speech recognition: a review

SJ Arora, RP Singh - International Journal of Computer Applications, 2012 - Citeseer
This paper attempts to describe a literature review of Automatic Speech Recognition. It
discusses past years advances made so as to provide progress that has been accomplished …

A modified LSTM model for continuous sign language recognition using leap motion

A Mittal, P Kumar, PP Roy… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Sign language facilitates communication between hearing impaired peoples and the rest of
the society. A number of sign language recognition (SLR) systems have been developed by …

A unified framework for multioriented text detection and recognition

C Yao, X Bai, W Liu - IEEE Transactions on Image Processing, 2014 - ieeexplore.ieee.org
High level semantics embodied in scene texts are both rich and clear and thus can serve as
important cues for a wide range of vision applications, for instance, image understanding …

“FabNER”: information extraction from manufacturing process science domain literature using named entity recognition

A Kumar, B Starly - Journal of Intelligent Manufacturing, 2022 - Springer
The number of published manufacturing science digital articles available from scientific
journals and the broader web have exponentially increased every year since the 1990s. To …

Bootstrapped training of score-conditioned generator for offline design of biological sequences

M Kim, F Berto, S Ahn, J Park - Advances in Neural …, 2024 - proceedings.neurips.cc
We study the problem of optimizing biological sequences, eg, proteins, DNA, and RNA, to
maximize a black-box score function that is only evaluated in an offline dataset. We propose …

Solving distribution problems in content-based recommendation system with gaussian mixture model

N Van Dat, P Van Toan, TM Thanh - Applied Intelligence, 2022 - Springer
Recommendation systems play an important role in boosting purchasing consumption for
many manufacturers by helping consumers find the most appropriate items. Furthermore …

[HTML][HTML] Enhancing Levenshtein's edit distance algorithm for evaluating document similarity

S Rani, J Singh - Computing, Analytics and Networks: First International …, 2018 - Springer
The content directly taken from pre-published sources is called plagiarized text. Plagiarism
is considered to be a major challenge in contemporary research manuscripts. It is very easy …

Fast and slow planning

F Fabiano, V Pallagani, MB Ganapini, L Horesh… - arXiv preprint arXiv …, 2023 - arxiv.org
The concept of Artificial Intelligence has gained a lot of attention over the last decade. In
particular, AI-based tools have been employed in several scenarios and are, by now …

Identifikasi kesalahan penulisan kata (typographical error) pada dokumen berbahasa Indonesia menggunakan metode N-gram dan Levenshtein Distance

AI Fahma, I Cholissodin, RS Perdana - … Teknologi Informasi dan Ilmu …, 2018 - j-ptiik.ub.ac.id
Teks merupakan salah satu media komunikasi dan sumber informasi dalam kehidupan
manusia. Hal yang menjadi krusial dalam pembuatan teks adalah kesalahan dalam …