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Journal articles on the topic 'Different Sizes of Documents'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

S., Bourib, and Khennouf S. "Author Identification Using Different Sizes of Documents: A Summary." International Journal of Hidden Data Mining and Scientific Knowledge Discovery 01, no. 01 (2015): 9. https://doi.org/10.5281/zenodo.20363.

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In the present research work, we deal with the problem of authorship attribution of ancient Arabic text documents, which were written by several ancient philosophers. For that purpose, we conducted several authorship attribution experiments applied with different text sizes. A special dataset, called “A4P” (<strong>A</strong>uthorship <strong>A</strong>ttribution for <strong>A</strong>ncient <strong>A</strong>rabic <strong>P</strong>hilosophers), has been constructed by extracting texts of different sizes from the books of those 5 ancient Arabic philosophers, where the genre and to

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Shubert, Serena K., Jan H. Spyridakis, Heather K. Holmback, and Mary B. Coney. "The Comprehensibility of Simplified English in Procedures." Journal of Technical Writing and Communication 25, no. 4 (1995): 347–69. http://dx.doi.org/10.2190/wg69-d74b-4dll-2wbk.

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Anecdotal evidence suggests that using a restricted language called Simplified English (SE) to write procedural documents is the best method to accommodate specific audiences. Providing empirical data to prove or disprove this hypothesis is the point of the experiment reported here. This study examined the effect of document type (SE versus non-SE), passage (Procedure A versus Procedure B), and native language (native versus non-native English speakers) on the comprehensibility, identification of content location, and task completion time of procedure documents for airplane maintenance. This r

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Aissam, Jadli, Mustapha Hain, and Adil Chergui. "Handwritten Documents Validation Using Pattern Recognition and Transfer Learning." International Journal of Web-Based Learning and Teaching Technologies 17, no. 5 (2022): 1–13. http://dx.doi.org/10.4018/ijwltt.20220901.oa1.

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Handwritten documents in an Enterprise Resource Planning (ERP) system can come from different sources and usually have different designs, sizes, and subjects (i.e. bills, checks, invoices, etc.). Given these documents were filled manually, they have to be inspected to detect various kinds of issues (missing signature or stamp, missing name, etc.) before being saved in the ERP system or processed by an OCR engine. In this paper, the authors present a transfer learning approach to detect issues in scanned handwritten documents, using an award-winning deep convolutional neural network (InceptionV

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Nadubeediramesh, Rashmi, and Aryya Gangopadhyay. "Dynamic Document Clustering Using Singular Value Decomposition." International Journal of Computational Models and Algorithms in Medicine 3, no. 3 (2012): 27–55. http://dx.doi.org/10.4018/jcmam.2012070103.

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Incremental document clustering is important in many applications, but particularly so in healthcare contexts where text data is found in abundance, ranging from published research in journals to day-to-day healthcare data such as discharge summaries and nursing notes. In such dynamic environments new documents are constantly added to the set of documents that have been used in the initial cluster formation. Hence it is important to be able to incrementally update the clusters at a low computational cost as new documents are added. In this paper the authors describe a novel, low cost approach

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Teixeira, Paola Cristine, and Juliana Cordeiro Soares Branco. "BNCC: Convergências e Divergências." Revista de Ensino, Educação e Ciências Humanas 22, no. 5 (2021): 693–701. http://dx.doi.org/10.17921/2447-8733.2021v22n5p693-701.

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ResumoO presente artigo problematiza as diversas posições em relação à Base Nacional Comum Curricular (BNCC). Desse modo, tem o objetivo de dialogar acerca da construção da mesma, considerando as versões publicadas do documento e as divergências e convergências diante de sua homologação. A pesquisa foi bibliográfica e documental. Para tal foi realizado um estudo em diversos meios para entender os posicionamentos contraditórios em relação aos documentos estudados. Realizou-se estudo do documento oficial homologado sobre a Base e artigos da área em sites de revistas científicas, Scielo e Anped,

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Ravoori, Divya Teja, and Zhengxin Chen. "Multi-View Meets Average Linkage." International Journal of Information Retrieval Research 5, no. 2 (2015): 26–42. http://dx.doi.org/10.4018/ijirr.2015040102.

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Inspired by the success of a recently developed algorithm MVSC-IR, the authors embed the idea of Multi-Viewpoint Based Similarity Measure for clustering (MVSC) into a hierarchical clustering method, i.e., average linkage clustering, to overcome the problem of initiation with random seeds, resulting in a new algorithm, referred to as MVSC-HAC. The improved performance of this new algorithm encouraged us to further explore the impact of metadata in document clustering. In this paper, after reviewing two existing algorithms, the authors describe their new algorithm and present experimental result

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Pietrzykowski, Jarosław. "Decision support tool for web cache management." Journal of Telecommunications and Information Technology, no. 3 (September 30, 2002): 57–68. http://dx.doi.org/10.26636/jtit.2002.3.132.

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Web caching is the subject of intense research and development since it seems to be very promising area. Web caching means storing copies of frequently used objects (documents) geographically close to users requesting them to reduce network load, servers load and user response times. Cache can be situated in different locations between user and servers with original content. It seems that the most significant improvement can be achieved by using the proxy server -- a dedicated web server. Various parameters affect web cache performance: cache size, limitations on document sizes or documents re

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Sahare, Parul, Jitendra V. Tembhurne, Mayur R. Parate, Tausif Diwan, and Sanjay B. Dhok. "Script-Independent Text Segmentation from Document Images." International Journal of Ambient Computing and Intelligence 13, no. 1 (2022): 1–21. http://dx.doi.org/10.4018/ijaci.313967.

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Document image analysis finds broad application in the digital world for the purpose of information retrieval. This includes optical character recognition (OCR), indexing of digital libraries, web image processing, etc. One of the important steps in this field is text segmentation. This segmentation becomes complicated for the documents containing text of uneven spacing and characters of varying font sizes. In this paper, script-independent text-line segmentation and word segmentation algorithms are presented. Fast marching method is used for text-line segmentation, whereas wavelet transform w

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Hu, Yu. "Neural Network Computing Based Text Mining and its Application." Advanced Materials Research 542-543 (June 2012): 1443–46. http://dx.doi.org/10.4028/www.scientific.net/amr.542-543.1443.

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With the extensive number of documents that firms must process and with the extensive amounts of information available on the Internet, an automated intelligent method is needed to sort through all available documents or sites. It would be beneficial to start with grouping similar documents or sites together based on similarities. Classifying documents and sorting them into categories could be beneficial since in most cases, no one user would be interested in all the different categories of documents at the same time. Classifying a large number of documents would also make it easier to locate

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Zhou, Guo Hong. "Application of Text Mining Based on Neural Network Computing." Applied Mechanics and Materials 278-280 (January 2013): 1972–75. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.1972.

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Today, numbers of documents that firms must process and with the extensive amounts of information available on the Internet, an automated intelligent method is needed to sort through all available documents or sites. It would be beneficial to start with grouping similar documents or sites together based on similarities. Classifying documents and sorting them into categories could be beneficial since in most cases, no one user would be interested in all the different categories of documents at the same time. Classifying a large number of documents would also make it easier to locate a specific

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Jeon, Eunjeong, and Youn-Jeng Choi. "Optimal sample size analysis for LDA topic modeling using news articles about high school credit system." Korean Society for Educational Evaluation 36, no. 3 (2023): 365–404. http://dx.doi.org/10.31158/jeev.2023.36.3.365.

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This study aimed to determine the number of documents suitable for LDA topic modeling analysis. Sample data was created from 7,115 news articles covering the high school credit system until 2022, following the announcement of the introduction of the high school credit system. Four different methods were employed for analysis. First, a total of 120 pieces of sample data, comprising 6 types with 20 pieces, were created, and the analyzed topics and concordance were examined for all documents. Second, through the AUC of the ROC curve, the discriminative power of all documents and the analysis of t

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Girgis, M. R., and A. A. Aly. "A Feature Selection and Classification Technique for Text Categorization." International Journal of Cooperative Information Systems 12, no. 04 (2003): 441–54. http://dx.doi.org/10.1142/s0218843003000826.

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Text categorization is the automated assigning of documents to predefined categories based on their contents. It involves two main tasks — feature selection and document classification. This paper discusses the weak points of the text categorization technique developed by Maron and modified by Lewis. Then, it introduces a technique for text categorization that uses new formulas for feature selection and document classification. These formulas have been formulated to overcome the weak points of Maron's and Lewis' techniques. Also, the paper describes the design of an experimental text categoriz

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Ammari, Faisal T., and Joan Lu. "Enhanced XML Encryption Using Classification Mining Technique for e-Banking Transactions." International Journal of Information Retrieval Research 3, no. 4 (2013): 81–103. http://dx.doi.org/10.4018/ijirr.2013100105.

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In this paper a novel approach is presented for securing financial Extensible Markup Language (XML) transactions using classification data mining (DM) algorithms. The authors' strategy defines the complete process of classifying XML transactions by using set of classification algorithms, classified XML documents processed at later stage using element-wise encryption. Classification algorithms were used to identify the XML transaction rules and factors in order to classify the message content fetching important elements within. The authors have implemented two classification algorithms to fetch

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Sarah, Hikmat Khaled, and Prof. Safana H. Abbas Assist. "Braille Character Recognition using Associative Memories." International Journal of Engineering Research and Advanced Technology (IJERAT) 3, no. 1 (2017): 31–45. https://doi.org/10.5281/zenodo.250601.

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In this paper, Braille character recognition (BCR) module is proposed that translates a single side Braille documents into English text and voice signal to help blind peoples saving their documents and hear it whenever they need the module is consisting mainly of two stages: the preprocessing stage and the recognition stage. In the 1st stage different thresholds and mask sizes were tested, and then the preprocessed image will be used in the recognition stage. Modify Multi-Connect Architecture (MMCA) and Modify Bidirectional Associative Memory (MBAM) algorithms were used to get the English docu

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Alodjants, Alexander P., Anna E. Avdyushina, Dmitriy V. Tsarev, Igor A. Bessmertny, and Andrey Yu Khrennikov. "Quantum Approach for Contextual Search, Retrieval, and Ranking of Classical Information." Entropy 26, no. 10 (2024): 862. http://dx.doi.org/10.3390/e26100862.

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Quantum-inspired algorithms represent an important direction in modern software information technologies that use heuristic methods and approaches of quantum science. This work presents a quantum approach for document search, retrieval, and ranking based on the Bell-like test, which is well-known in quantum physics. We propose quantum probability theory in the hyperspace analog to language (HAL) framework exploiting a Hilbert space for word and document vector specification. The quantum approach allows for accounting for specific user preferences in different contexts. To verify the algorithm

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Al-Lahham, Yaser, and Mohammad Hassan. "Scalable self-organizing structured P2P information retrieval model based on equivalence classes." International Arab Journal of Information Technology 11, no. 1 (2013): 78–86. http://dx.doi.org/10.34028/iajit/11/1/1.

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This paper proposes a new autonomous self-organizing content-based node clustering peer to peer Information Retrieval (P2PIR) model. This model uses incremental transitive document-to-document similarity technique to build Local Equivalence Classes (LECes) of documents on a source node. Locality Sensitive Hashing (LSH) scheme is applied to map a representative of each LEC into a set of keys which will be published to hosting node (s). Similar LECes on different nodes form Universal Equivalence Classes (UECes), which indicate the connectivity between these nodes. The same LSH scheme is used to

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Maier, Daniel, Andreas Niekler, Gregor Wiedemann, and Daniela Stoltenberg. "How Document Sampling and Vocabulary Pruning Affect the Results of Topic Models." Computational Communication Research 2, no. 2 (2020): 139–52. http://dx.doi.org/10.5117/ccr2020.2.001.maie.

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Abstract Topic modeling enables researchers to explore large document corpora. Large corpora, however, can be extremely costly to model in terms of time and computing resources. In order to circumvent this problem, two techniques have been suggested: (1) to model random document samples, and (2) to prune the vocabulary of the corpus. Although frequently applied, there has been no systematic inquiry into how the application of these techniques affects the respective models. Using three empirical corpora with different characteristics (news articles, websites, and Tweets), we systematically inve

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Singh, Pawan Kumar, Ram Sarkar, and Mita Nasipuri. "Word-Level Script Identification Using Texture Based Features." International Journal of System Dynamics Applications 4, no. 2 (2015): 74–94. http://dx.doi.org/10.4018/ijsda.2015040105.

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Script identification is an appealing research interest in the field of document image analysis during the last few decades. The accurate recognition of the script is paramount to many post-processing steps such as automated document sorting, machine translation and searching of text written in a particular script in multilingual environment. For automatic processing of such documents through Optical Character Recognition (OCR) software, it is necessary to identify different script words of the documents before feeding them to the OCR of individual scripts. In this paper, a robust word-level h

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Bernardino, Rodrigo, Rafael Dueire Lins, and Ricardo da Silva Barboza. "A Quality, Size and Time Assessment of the Binarization of Documents Photographed by Smartphones." Journal of Imaging 9, no. 2 (2023): 41. http://dx.doi.org/10.3390/jimaging9020041.

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Smartphones with an in-built camera are omnipresent today in the life of over eighty percent of the world’s population. They are very often used to photograph documents. Document binarization is a key process in many document processing platforms. This paper assesses the quality, file size and time performance of sixty-eight binarization algorithms using five different versions of the input images. The evaluation dataset is composed of deskjet, laser and offset printed documents, photographed using six widely-used mobile devices with the strobe flash off and on, under two different angles and

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Hathout, Basma Badawi, Samy Ghoniemy, and Osman Ibrahim. "A Modified Cloud-Based Cryptographic Agent for Cloud Data Integrity." International Journal of Interactive Mobile Technologies (iJIM) 11, no. 2 (2017): 6. http://dx.doi.org/10.3991/ijim.v11i2.6553.

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In spite of all the advantages delivered by cloud computing, several challenges are hindering the migration of customer software and data into the cloud. On top of the list is the security and privacy concerns arising from the storage and processing of sensitive data on remote machines that are not owned, or even managed by the customers themselves. In this paper, initially a homomorphic encryption-based Cryptographic Agent is proposed. The proposed Cryptographic Agent is based on Paillier scheme, and is supported by user-configurable software protection and data privacy categorization agents,

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Rathi, Dinesh, and Lisa M. Given. "Non-profit organizations’ use of tools and technologies for knowledge management: a comparative study." Journal of Knowledge Management 21, no. 4 (2017): 718–40. http://dx.doi.org/10.1108/jkm-06-2016-0229.

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Purpose This paper aims to present findings from a study conducted with non-profit organizations (NPOs) in Canada and Australia, focusing on the use of tools and technologies for knowledge management (KM). NPOs of different sizes and operating in different sectors were studied in two large-scale national surveys. The paper is useful to both practitioners in NPOs for understanding tool use for KM activities and to scholars to further develop the KM-NPO domain. Design/methodology/approach Two nation-wide surveys were conducted with Canadian and Australian NPOs of different sizes (i.e. very small

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HU, TIANMING, CHEW LIM TAN, YONG TANG, SAM YUAN SUNG, HUI XIONG, and CHAO QU. "CO-CLUSTERING BIPARTITE WITH PATTERN PRESERVATION FOR TOPIC EXTRACTION." International Journal on Artificial Intelligence Tools 17, no. 01 (2008): 87–107. http://dx.doi.org/10.1142/s0218213008003790.

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The duality between document and word clustering naturally leads to the consideration of storing the document dataset in a bipartite. With documents and words modeled as vertices on two sides respectively, partitioning such a graph yields a co-clustering of words and documents. The topic of each cluster can then be represented by the top words and documents that have highest within-cluster degrees. However, such claims may fail if top words and documents are selected simply because they are very general and frequent. In addition, for those words and documents across several topics, it may not

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Vieira Costa, João Paulo, Bruno Lima Maciel, and Li Weigang. "Identifying Document Patterns with Limited Data: A Multimodal Aproach." World Journal of Information Systems 1, no. 2 (2024): 37–52. https://doi.org/10.17013/wjis.v1i2.12.

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Pattern identification in documents plays a crucial role in the banking sector and others, as it is applied in various operations such as document analysis, information retrieval, and anomaly detection. Challenges arise when traditional training methods require vast labeled datasets, which are costly and time-consuming. This requirement imposes limitations on the generalization and practical applicability of the models developed. This study evaluates the performance of models in a limited data scenario, by leveraging multimodal information and transfer learning, it aims for accurate identifica

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Hast, Anders, Lasse Mårtensson, Ekta Vats, and Raphaela Heil. "Creating an Atlas over Handwritten Script Signs." Digital Humanities in the Nordic and Baltic Countries Publications 2, no. 1 (2019): 175–80. http://dx.doi.org/10.5617/dhnbpub.11092.

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A framework for interactive visualization of script characteristics, as present in the form of handwritten letters, is proposed in this work. The basic idea behind this investigation is to lay the foundations for creating a comprehensive atlas over letter forms extracted from a large collection of handwritten documents, with minimal human guidance. The visualization of the results is based on the atlas metaphor and uses the t-SNE visualization method for creating island-like clusters that can be investigated using the proposed visualization framework. By changing a scale parameter one can inve

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Kuzmin, Sergius. "Falsifications as a source of myth-making in the historiography of Baron R.F. Ungern." Vostok. Afro-aziatskie obshchestva: istoriia i sovremennost, no. 3 (2023): 213. http://dx.doi.org/10.31857/s086919080025187-2.

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The article discusses different kinds of falsifications of documents, memoirs and artifacts as one of the sources of making mythologized narratives on the life and activity of Baron R.F. von Ungern-Sternberg (1886–1921), one of well-known warlords during the Civil War in Russia, who restored the independence of Outer Mongolia in the year 1921. Falsifications and hyperbolizations of events became important factors influencing the development of the historiography of Ungern. The most important cause of these falsifications and hyperbolizations was ideologization. Ideological and propagandistic c

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Quvalov, Abbas. "STUDY OF CRUSH FROM CRUSHING DIFFERENT BRANDS OF CRUSHED CONCRETE." Scientific works/Elmi eserler 2 (April 2, 1996): 69–77. http://dx.doi.org/10.58225/sw.2022.2.69-77.

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Abstract. The results of the study of the grain-size composition and the grade of crushability of recycled crushed stone and their dependence on the strength of the original recycled concrete are presented. It is found that recycled crushed stone obtained from the original concrete of classes B20, B25, B30, B40 does not meet the requirements of GOST 8267-93 for total residues on Ø25, Ø20, Ø5 and Ø2.5 sieves. Regardless of the strength of the original concrete, the main fraction of recycled crushed stone is grains with sizes from 12.5 to 20 mm. The strength (grade in terms of crushability) of t

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Vanhuele, Niels, and Dominique Vanneste. "How Significant Are Buffer Zones for Tourism at Urban UNESCO World Heritage Sites?" Heritage 8, no. 3 (2025): 105. https://doi.org/10.3390/heritage8030105.

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While the concept of a ‘buffer zone’ is clear and well defined, the role of the buffer zone is vague, especially because a buffer zone—if any—can take on very different sizes and shapes, while their status in terms of protection and rules is very different locally. In this article, we focus on buffer zones in an urban context and explore if these buffer zones have some tourism dedication. The latter is particularly interesting since many urban World Heritage sites suffer from over-tourism. With this, we enter the field of policy, management and governance. Therefore, we analyzed three urban Wo

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Reuter, Timo, and Philipp Cimiano. "A Systematic Investigation of Blocking Strategies for Real-Time Classification of Social Media Content into Events." Proceedings of the International AAAI Conference on Web and Social Media 6, no. 3 (2021): 8–15. http://dx.doi.org/10.1609/icwsm.v6i3.14349.

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Events play a prominent role in our lives, such that many social media documents describe or are related to some event. Organizing social media documents with respect to events thus seems a promising approach to better manage and organize the ever-increasing amount of user-generated content in social media applications. It would support the navigation of data by events or allow one to get notified about new postings related to the events one is interested in, just to name two applications. A challenge is to automatize this process so that incoming documents can be assigned to their correspondi

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Selvaraj, Suganya, and Eunmi Choi. "Swarm Intelligence Algorithms in Text Document Clustering with Various Benchmarks." Sensors 21, no. 9 (2021): 3196. http://dx.doi.org/10.3390/s21093196.

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Text document clustering refers to the unsupervised classification of textual documents into clusters based on content similarity and can be applied in applications such as search optimization and extracting hidden information from data generated by IoT sensors. Swarm intelligence (SI) algorithms use stochastic and heuristic principles that include simple and unintelligent individuals that follow some simple rules to accomplish very complex tasks. By mapping features of problems to parameters of SI algorithms, SI algorithms can achieve solutions in a flexible, robust, decentralized, and self-o

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Šimek, Pavel, Jiří Vaněk, and Jan Jarolímek. "Quantification of competitive value of documents." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 57, no. 5 (2009): 285–90. http://dx.doi.org/10.11118/actaun200957050285.

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The majority of Internet users use the global network to search for different information using fulltext search engines such as Google, Yahoo!, or Seznam. The web presentation operators are trying, with the help of different optimization techniques, to get to the top places in the results of fulltext search engines. Right there is a great importance of Search Engine Optimization and Search Engine Marketing, because normal users usually try links only on the first few pages of the fulltext search engines results on certain keywords and in catalogs they use primarily hierarchically higher placed

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Bathi, Jejal Reddy, Robert E. Pitt, and Shirley E. Clark. "Polycyclic Aromatic Hydrocarbons in Urban Stream Sediments." Advances in Civil Engineering 2012 (2012): 1–9. http://dx.doi.org/10.1155/2012/372395.

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Polycyclic aromatic hydrocarbons (PAHs) are persistent organic pollutants of high environmental concern with known carcinogenic activity. Although literature documents PAH fate in urban runoff, little is known about their distribution on sediment sizes, which is essential for determining their treatability and fate in receiving waters. This paper has quantified the concentrations of selected PAHs in urban creek sediments and examined possible relationships between sediment PAH content and sediment characteristics, such as particle size, volatile organic content (VOC), and sediment chemical oxy

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SLAVINSKA, ALLA, OKSANA SYROTENKO, VICTORIIA MYTSA, and OKSANA DOMBROVSKA. "CLUSTER ANALYSIS OF PARAMETRIC GRADATION OF CONTROL MEASUREMENTS OF CLOTHING FOR WOMEN OF LARGE SIZES." Herald of Khmelnytskyi National University. Technical sciences 319, no. 2 (2023): 276–83. http://dx.doi.org/10.31891/2307-5732-2023-319-1-276-283.

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The preservation of the functional properties of the sewing product is regulated by technical regulatory documentation. The insufficient filling of the market with an assortment of clothes for women of large sizes is explained by the complexity of the geometry of the body surface, which is regulated by different approaches to the classification of sizes in the current anthropometric standards. The study of the dimensional variability of the range of large-sized figures in clusters of the main and additional dimensions of outerwear was carried out taking into account the synchronization of comp

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Ankur. "Using Machine Learning Methods for Evaluating Quality of Techincal Documents." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 5387–91. http://dx.doi.org/10.22214/ijraset.2024.61193.

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Abstract: In the context of an increasingly networked world, the availability of high quality transla-tions is critical for success in the context of the growing international competition. Large international companies as well as medium sized companies are required to provide welltranslated, high quality technical documentation for their customers not only to be suc- cessful in the market but also to meet legal regulations and to avoid lawsuits. Therefore, this thesis focuses on the evaluation of translation quality, specifically con- cerning technical documentation, and answers two central qu

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Dixon, Jose, and Md Rahman. "Statistical Analysis of Imbalanced Classification with Training Size Variation and Subsampling on Datasets of Research Papers in Biomedical Literature." Machine Learning and Knowledge Extraction 5, no. 4 (2023): 1953–78. http://dx.doi.org/10.3390/make5040095.

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The overall purpose of this paper is to demonstrate how data preprocessing, training size variation, and subsampling can dynamically change the performance metrics of imbalanced text classification. The methodology encompasses using two different supervised learning classification approaches of feature engineering and data preprocessing with the use of five machine learning classifiers, five imbalanced sampling techniques, specified intervals of training and subsampling sizes, statistical analysis using R and tidyverse on a dataset of 1000 portable document format files divided into five label

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Marton, Christine F. "Salton and Buckley’s Landmark Research in Experimental Text Information Retrieval." Evidence Based Library and Information Practice 6, no. 4 (2011): 169. http://dx.doi.org/10.18438/b87032.

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Objectives – To compare the performance of the vector space model and the probabilistic weighting model of relevance feedback for the overall purpose of determining the most useful relevance feedback procedures. The amount of improvement that can be obtained from searching several test document collections with only one feedback iteration of each relevance feedback model was measured.  Design – The experimental design consisted of 72 different tests: 2 different relevance feedback methods, each with 6 permutations, on 6 test document collections of various sizes. A residual collect

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Yaseen, Rasty, and Hossein Hassani. "Kurdish Optical Character Recognition." UKH Journal of Science and Engineering 2, no. 1 (2018): 18–27. http://dx.doi.org/10.25079/ukhjse.v2n1y2018.pp18-27.

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Currently, no offline tool is available for Optical Character Recognition (OCR) in Kurdish. Kurdish is spoken in different dialects and uses several scripts for writing. The Persian/Arabic script is widely used among these dialects. The Persian/Arabic script is written from Right to Left (RTL), it is cursive, and it uses unique diacritics. These features, particularly the last two, affect the segmentation stage in developing a Kurdish OCR. In this article, we introduce an enhanced character segmentation based method which addresses the mentioned characteristics. We applied the method to text-o

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Amygdalou, Kalliopi. "Déjà Vu at the Archive: Photography, National Narratives, and the Multiple Histories of the Smyrna Fire." International Journal of Islamic Architecture 9, no. 2 (2020): 315–36. http://dx.doi.org/10.1386/ijia_00016_1.

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Abstract As original primary sources remain central to history writing, researchers strive to find new, unpublished documents. Each archival discovery is perceived to increase the importance and contribution of the research work, but like any other discovery, it is assumed to happen only once. Should the document be encountered by the researcher a second time, elsewhere, in a different archive or collection, the encounter often does not acquire the same significance, and the document might be bypassed easily. Visual documents in particular, which at times have been perceived as too unreliable

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Ilyashenko, A.S. "The impact of social upheavals on the demographics of some countries." Humanity space. International almanac 12, no. 3 (2023): 278–93. https://doi.org/10.24412/2226-0773-2023-12-3-278-293.

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Social upheavals, such as, for example, civil war, war with an external enemy, economic crisis, repression, famine, lead to severe demographic losses. In some cases, documents containing objective data on losses have not been preserved. In such a situation, losses can be estimated with some accuracy by calculation. Of course, the absolute values of losses are important, but they are not enough to get a plausible picture. For example, the losses of five people out of a thousand and five out of ten are equal, but the proportion of losses varies, and the scale of the impact on others also differs

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Ivanovic, Marko, and Vukan Lavadinovic. "Analysis of hunting management and reliability of variable sizes in calculations of wild boar population dynamics." Bulletin of the Faculty of Forestry, no. 124 (2021): 9–24. http://dx.doi.org/10.2298/gsf2124009i.

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The analysis performed in this study focused on the hunting management of wild boar in the hunting ground "Dulenska reka", as well as on the impact of knowledge of the species and its monitoring in the field, which can lead to an incredible difference in hunting management The aim of this study was to analyze wild boar management and determine the differences between the variables used to calculate population dynamics. For the purposes of the analysis, data from planning documents and professional literature were used, and the calculations of population dynamics were performed in Excel. The re

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Barkovska, Olesia, Viktor Khomych, and Oleksandr Nastenko. "RESEARCH OF THE TEXT PROCESSING METHODS IN ORGANIZATION OF ELECTRONIC STORAGES OF INFORMATION OBJECTS." Innovative Technologies and Scientific Solutions for Industries, no. 1 (19) (April 26, 2022): 5–12. http://dx.doi.org/10.30837/itssi.2022.19.005.

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The subject matter of the article is electronic storage of information objects (IO) ordered by specified rules at the stage of accumulation of qualification thesis and scientific work of the contributors of the offered knowledge exchange system provided to the system in different formats (text, graphic, audio). Classified works of contributors of the system are the ground for organization of thematic rooms for discussion to spread scientific achievements, to adopt new ideas, to exchange knowledge and to look for employers or mentors in different countries. The goal of the work is to study the

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Alnaasan, Manar, and Sungho Kim. "Handwritten Multi-Scale Chinese Character Detector with Blended Region Attention Features and Light-Weighted Learning." Sensors 23, no. 4 (2023): 2305. http://dx.doi.org/10.3390/s23042305.

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Character-level detection in historical manuscripts is one of the challenging and valuable tasks in the computer vision field, related directly and effectively to the recognition task. Most of the existing techniques, though promising, seem not powerful and insufficiently accurate to locate characters precisely. In this paper, we present a novel algorithm called free-candidate multiscale Chinese character detection FC-MSCCD, which is based on lateral and fusion connections between multiple feature layers, to successfully predict Chinese characters of different sizes more accurately in old docu

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Dubravskaya, E. I. "Informal Employment Impact on Social and Economic Development of Russian Federation Entities." Vestnik of the Plekhanov Russian University of Economics 18, no. 1 (2021): 73–86. http://dx.doi.org/10.21686/2413-2829-2021-1-73-86.

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To make managerial decisions on labour market regulation on the regional level it is necessary to have an objective statistic estimation of interconnection between informal employment and indicators of social and economic development. The article describes preconditions of forming a complex system of indicators on the basis of documents of strategic planning and analysis of works by Russian and overseas researchers dealing with issues of informal employment. Informal employment is an independent field of research that attracts scientists from different spheres and disciplines: from economics a

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Hua, Shaowen. "What Makes Underwriting and Non-Underwriting Clients of Brokerage Firms Receive Different Recommendations?" International Journal of Finance & Banking Studies (2147-4486) 5, no. 3 (2016): 42–56. http://dx.doi.org/10.20525/ijfbs.v5i3.278.

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I explore company characteristics which explain the difference in analysts’ recommendations for companies that were underwritten (affiliated) versus non-underwritten (unaffiliated) by analysts’ brokerage firms. Prior literature documents that analysts issue more optimistic recommendations to underwriting clients of analysts’ brokerage employers. Extant research uses regression models to find general associations between recommendations and financial qualities of companies, with or without underwriting relationship. However, regression models cannot identify the qualities that cause the most di

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Cable, James K. "Changing the Shape and Location of Pavement Load Transfer Devices." Transportation Research Record: Journal of the Transportation Research Board 1907, no. 1 (2005): 95–101. http://dx.doi.org/10.1177/0361198105190700111.

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Load transfer is an important aspect of portland cement concrete joint design. To date, aggregate interlock and round steel dowels have been used to accomplish load transfer. Research was done to examine the use of steel dowels of alternative shapes to provide load transfer. A field research project in Iowa has used two elliptical bars of different sizes at three spacings and numbers of bars per joint. Test sections included bars across the entire joint and sections using bars only in the wheelpaths. The impact of cut, fill, and transition sections was also factored into the experimental desig

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Srilakshmi, V., K. Anuradha, and C. Shoba Bindu. "Optimized deep belief network and entropy-based hybrid bounding model for incremental text categorization." International Journal of Web Information Systems 16, no. 3 (2020): 347–68. http://dx.doi.org/10.1108/ijwis-03-2020-0015.

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Purpose This paper aims to model a technique that categorizes the texts from huge documents. The progression in internet technologies has raised the count of document accessibility, and thus the documents available online become countless. The text documents comprise of research article, journal papers, newspaper, technical reports and blogs. These large documents are useful and valuable for processing real-time applications. Also, these massive documents are used in several retrieval methods. Text classification plays a vital role in information retrieval technologies and is considered as an

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Lu, Bing-Qiang, and Ying-Jie Zhu. "One-dimensional hydroxyapatite materials: preparation and applications." Canadian Journal of Chemistry 95, no. 11 (2017): 1091–102. http://dx.doi.org/10.1139/cjc-2017-0144.

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As one of the biominerals, hydroxyapatite (HAP) plays important roles in biology, and inspires researchers to investigate HAP-based materials for the applications in various biomedical fields. Among them, one-dimensional (1-D) micro-/nanostructured HAP materials have attracted great interest in the last decades. This review summarizes the preparation and applications of 1-D HAP materials, and discusses different aspects of 1-D HAP materials. Various synthetic methods have been developed to prepare 1-D HAP materials with different morphologies, sizes, surface properties and crystallinities. In

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Sun, Yufeng, Fengbao Yang, Xiaoxia Wang, and Hongsong Dong. "Automatic Generation of the Draft Procuratorial Suggestions Based on an Extractive Summarization Method: BERTSLCA." Mathematical Problems in Engineering 2021 (June 16, 2021): 1–12. http://dx.doi.org/10.1155/2021/3591894.

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The automatic generation of the draft procuratorial suggestions is to extract the description of illegal facts, administrative omission, description of laws and regulations, and other information from the case documents. Previously, the existing deep learning methods mainly focus on context-free word embeddings when addressing legal domain-speciﬁc extractive summarization tasks, which cannot get a better semantic understanding of the text and in turn leads to an adverse summarization performance. To this end, we propose a novel deep contextualized embeddings-based method BERTSLCA to conduct th

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Md, Ziaul Haque, and Omar Mohd. "Handwritten Hindi Character Recognition using MultipleClassifiers in Machine Learning." International Journal of Innovative Science and Research Technology 7, no. 7 (2022): 1071–76. https://doi.org/10.5281/zenodo.6982395.

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Hindi is a national language of India spoken in many states in our countries, like Bihar, Uttar Pradesh, Madhya Pradesh, Jharkhand, and Delhi. The Hindi language is 3rd most popular language globally, which is the script of Devanagari. It consists of 36 primary alphabets and ten digits. We present sophisticated handwritten Hindi character recognition (2HCR) using machine learning techniques to implement Hindi characters and digits. A dataset consists of Ninety-Two Thousand images of 46 different types of characters and digits in the Hindi language segmented from handwritten documents. Nowadays

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Loda, Liubov, and Iryna Pigel. "Diagnosis and Consectory Monitoring State of Preservation Documents from the Shevchenko Scientific Society Library in Lviv." Proceedings of Vasyl Stefanyk National Scientific Library of Ukraine in Lviv, no. 14(30) (December 2022): 212–28. http://dx.doi.org/10.37222/2524-0315-2022-14(30)-9.

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The article analyzes the results of consistent monitoring of the state of preservation of collection of manuscripts and document sfrom the Shevchenko Scientific Society Library in Lviv, which are now stored in the V. Stefanyk LNNBU. Сonducted a comprehensive analysis of the key areas of formation of the NTSh Library fund and the results of qualimetric research in the field of preservation of its manuscript heritage. On the basis of studying the state of preservation of the manuscript fund and processing the results of qualimetric research, the analysis of the operational state of the whole col

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F., Rafel Varón Hernández, and Orozco Legaza Vega. "Identificación de yacimientos arqueológicos en Álava a través de la teledetección (Asparrena / Lantaron / San Millán / Valdegovía)." Arkeoikuska 2022 (December 1, 2023): 247. https://doi.org/10.5281/zenodo.10648941.

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This text present the results obtained from applying remote detection and Landscape Archaeology tecniques to different sites in the province of Álava (Basque Country, Spain). The project included the gathering and proccesing o diferent historical, archaeological and cartographic documents, as well as aerial photos; and new documents have been generated thanks to the use of drones.

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