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Xiaojuan Wang and Weilan Wang
As there is a lack of public mark samples of Tibetan historical document image characters at present, this paper proposes an unsupervised Tibetan historical document character recognition method based on deep learning (UD-CNN). Firstly, using the Tibetan...
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Dyan ApriyaniGiri Kurnia Widyasari
Pág. 143 - 151
The construction of the character has long been echoed by the first president of the Republic of Indonesia, Ir. Sukarno in 1961. Bung Karno said: this nation must be built by prioritizing character building, because this character building will make Indo...
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nunung nuryati
Pág. 232 - 238
Early childhood is a golden age called golden age. At this time the growth and development of children is very rapid and closely interconnected with each other such as physical growth, motor, emotional social, cognitive, language, and art. Character of c...
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Nazmus Saqib, Khandaker Foysal Haque, Venkata Prasanth Yanambaka and Ahmed Abdelgawad
Neural networks have made big strides in image classification. Convolutional neural networks (CNN) work successfully to run neural networks on direct images. Handwritten character recognition (HCR) is now a very powerful tool to detect traffic signals, t...
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Dwi Hayantina Sunarni
Pág. 319 - 327
Having children who has a good character is every parent wish. For having this good character its need to be done from early age. All the parents has an important role on building this character to their children. Children as a good imitators will do wha...
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Zsolt Csikor, Éva Pusztai, Gábor Barátossy
Pág. 450?456
nalytical data of 260 sensory evaluated wine samples have been statistically examined. All samples had been classified by at least one taster of the five member jury as having "Brett character". Wines have been finally judged as "Good", having "Other def...
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Walter Craig and Jonathon Stone
Information in phylogenetic systematic analysis has been conceptualized, defined, quantified, and used differently by different authors. In this paper, we start with the Shannon Uncertainty Measure information measure I, applying it to cladograms contain...
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Maria Plotnikova
Pág. 946 - 958
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Nurgali Kadyrbek, Madina Mansurova, Adai Shomanov and Gaukhar Makharova
This study is devoted to the transcription of human speech in the Kazakh language in dynamically changing conditions. It discusses key aspects related to the phonetic structure of the Kazakh language, technical considerations in collecting the transcribe...
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Zepeng Wang, Yuan Chen and Juwei Zhang
In practical applications, the accuracy of domain terminology translation is an important criterion for the performance evaluation of domain machine translation models. Aiming at the problem of phrase mismatch and improper translation caused by word-by-w...
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Stanislav Campelj
Rheological measurements under an applied magnetic field were used to investigate the changes to the internal structure and stability of an aqueous ferrofluid. The ferrofluid was prepared by dispersing 1.8 wt.% of maghemite nanoparticles with a size of d...
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Ahmad Nur Budi Utama, Agus Syarif
Pág. 231 - 236
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Rediawan Miharja
Pág. 198 - 204
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Yuchen Liang, Yanan Cheng, Zhaoxin Zhang, Tingting Chai and Chao Li
Detecting and controlling illegal websites (gambling and pornography sites) through illegal domain names has been an unsolved problem. Therefore, how to mine and discover potential illegal domain names in advance has become a current research hotspot. Th...
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Everistus Zeluwa Orji, Ali Haydar, Ibrahim Ersan and Othmar Othmar Mwambe
This paper comprehensively assesses the application of active learning strategies to enhance natural language processing-based optical character recognition (OCR) models for image-to-LaTeX conversion. It addresses the existing limitations of OCR models a...
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Qianwen Zhou, Changqing Zhu and Na Ren
With the increasing ease of building information modeling data usage, digital watermarking technology has become increasingly crucial for BIM data copyright protection. In response to the problem that existing robust watermarking methods mainly focus on ...
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Safiullah Faizullah, Muhammad Sohaib Ayub, Sajid Hussain and Muhammad Asad Khan
Optical character recognition (OCR) is the process of extracting handwritten or printed text from a scanned or printed image and converting it to a machine-readable form for further data processing, such as searching or editing. Automatic text extraction...
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Cunxiang Xie, Limin Zhang and Zhaogen Zhong
In practical application, there are different knowledge graphs in different fields, such as financial graph, commodity graph, medical graph, and so on. Entity alignment technique can be applied to the fusion of multiple knowledge graphs in different doma...
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Gabriella Monteiro, Leonardo Camelo, Gustavo Aquino, Rubens de A. Fernandes, Raimundo Gomes, André Printes, Israel Torné, Heitor Silva, Jozias Oliveira and Carlos Figueiredo
Recent advancements in Artificial Intelligence (AI), deep learning (DL), and computer vision have revolutionized various industrial processes through image classification and object detection. State-of-the-art Optical Character Recognition (OCR) and obje...
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Qing Zhao, Honglei Wei and Xianyi Zhai
The proposed method for tire specification character recognition based on the YOLOv5 network aimed to address the low efficiency and accuracy of the current character recognition methods. The approach involved making three major modifications to the YOLO...
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