Relevant bibliographies by topics / Intelligent documents

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Intelligent documents'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Intelligent documents"

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Lu, Xiaonan, Saurabh Kataria, William J. Brouwer, James Z. Wang, Prasenjit Mitra, and C. Lee Giles. "Automated analysis of images in documents for intelligent document search." International Journal on Document Analysis and Recognition (IJDAR) 12, no. 2 (2009): 65–81. http://dx.doi.org/10.1007/s10032-009-0081-0.

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Ramesh Pingili. "AI-driven intelligent document processing for healthcare and insurance." International Journal of Science and Research Archive 14, no. 1 (2025): 1063–77. https://doi.org/10.30574/ijsra.2025.14.1.0194.

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Healthcare and insurance industries handle millions of documents daily, leading to administrative bottlenecks, errors, and inefficiencies. This paper explores AI-driven Intelligent Document Processing (IDP) for automating claims, medical records, and regulatory compliance documents. Integrating machine learning (ML), natural language processing (NLP), and RPA, IDP reduces document processing time by 80% and error rates by 90%. Case studies from top hospitals and insurers demonstrate AI’s role in streamlining workflows, enhancing patient care, and accelerating claims processing [1]. This resear
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Sambetbayeva, Madina, Inkarzhan Kuspanova, Aigerim Yerimbetova, Sandugash Serikbayeva, and Shynar Bauyrzhanova. "Development of intelligent electronic document management system model based on machine learning methods." Eastern-European Journal of Enterprise Technologies 1, no. 2(115) (2022): 68–76. http://dx.doi.org/10.15587/1729-4061.2022.251689.

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With the daily increase in document flow, as well as the transition to paperless document management around the world, the demand for electronic document management systems is increasing. This significantly requires optimization of these systems in terms of quality document information retrieval and document management. However, research based on statistical methods cannot effectively handle large amounts of data extracted from electronic documents. In this regard, machine learning methods can effectively solve this problem. This paper presents an approach to building a model of an intelligent
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Madina, Sambetbayeva, Kuspanova Inkarzhan, Yerimbetova Aigerim, Serikbayeva Sandugash, and Bauyrzhanova Shynar. "Development of intelligent electronic document management system model based on machine learning methods." Eastern-European Journal of Enterprise Technologies 1, no. 2(115) (2022): 68–76. https://doi.org/10.15587/1729-4061.2022.251689.

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With the daily increase in document flow, as well as the transition to paperless document management around the world, the demand for electronic document management systems is increasing. This significantly requires optimization of these systems in terms of quality document information retrieval and document management. However, research based on statistical methods cannot effectively handle large amounts of data extracted from electronic documents. In this regard, machine learning methods can effectively solve this problem. This paper presents an approach to building a model of an intelligent
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Movva, Himadeep. "Document Understanding Framework-An Innovative Way to Extract Information from Documents." Journal of Software Engineering and Simulation 9, no. 10 (2023): 34–40. https://doi.org/10.35629/3795-09103440.

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The automation process usually needs input in the form of documents. The information would be extracted from structured, semi-structured, or unstructured documents and ready for a bot to pick up as input data. Using UiPath, we can easily configure rules, including regular expressions, to extract data from digital documents. However, the challenge becomes imminent if the document contains semi-structured, unstructured, or handwritten data. UiPath, with its default features, couldn’t extract reliably content in these cases. UiPath’s document understanding framework is used to extract data from t
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Guo, Zhong Wei, Peng Jiang, Jian Li Zhang, Xiao Song Zhang, and Li Jian Ji. "The Construction of Military Documents Electronic Lexicon." Applied Mechanics and Materials 373-375 (August 2013): 1682–85. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.1682.

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Based on the classification system of modern Chinese words classification system and characteristics of military documents field, the military document words are classified and descripted with morphology, syntax, complex feature, semantic and reference. And a military documents electronic lexicon prototype is designed. This lexicon can meet the requirement of military document intelligent processing well proved by application of military documents electronic lexicon.
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Chiang, Tzu-An, Chun-Yi Wu, Charles Trappey, and Amy J. C. Trappey. "An Intelligent System for Automated Binary Knowledge Document Classification and Content Analysis." JUCS - Journal of Universal Computer Science 17, no. (14) (2011): 1991–2008. https://doi.org/10.3217/jucs-017-14-1991.

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Many companies rely on patent engineers to search patent documents and offer recommendations and advice to R and D engineers. Given the increasing number of patent documents filed each year, new means to effectively and efficiently identify and manage technology specific patent documents are required. This research applies a back-propagation artificial neural network (BPANN), a hierarchical ontology technique, and a normalized term frequency (NTF) method to develop an intelligent system for binary knowledge document classification and content analysis. The intelligent system minimizes inapprop
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Palchunov, D. E., and S. I. Chernyavtseva. "Development of Intelligent Assistant for Automated Generation of Department Documents." Programmnaya Ingeneria 14, no. 8 (2023): 388–400. http://dx.doi.org/10.17587/prin.14.388-400.

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The article is devoted to the development of formal mathematical methods for modeling business processes and the application of these methods to create intelligent assistants. The theory of partial models is used to formalize the workflow at the university department. The problem of creating an intelligent assistant for automated generation of university department documents is considered. To solve this problem, an ontological model of the subject area is developed and document templates are built. The focus is on the problem of automated generation of assuredly correct documents. The generati
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Nagasubramanian, Dhivya. "Intelligent Data Extraction from Image Documents." International Journal of Computer Science and Engineering 11, no. 11 (2024): 25–34. https://doi.org/10.14445/23488387/ijcse-v11i11p104.

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Khadim, Umair, Muhammad Munwar Iqbal, and Muhammad Awais Azam. "An Intelligent Three-Level Digital Watermarking Method for Document Protection." April 2021 40, no. 2 (2021): 323–34. http://dx.doi.org/10.22581/muet1982.2102.07.

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Digital text is the most frequent interchange form of data that could hold sensitive information such as audit firms, banks, and educational institutes. This sensitive information needs to preserve its integrity and originality so that it could not only secure the data but also helps to identify ownership of text documents. This paper presents a novel and invisible digital watermarking approach for the secure exchange of text documents over the internet. Digital watermarking serves from the last decade for detection of forgery and tempering from digital text documents and maintained the copyri
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Dissertations / Theses on the topic "Intelligent documents"

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Arditi, Rocha Luis M. "Intelligent retrieval system for conditions of contract documents in construction." FIU Digital Commons, 1992. http://digitalcommons.fiu.edu/etd/1304.

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The outcome of this research is an Intelligent Retrieval System for Conditions of Contract Documents. The objective of the research is to improve the method of retrieving data from a computer version of a construction Conditions of Contract document. SmartDoc, a prototype computer system has been developed for this purpose. The system provides recommendations to aid the user in the process of retrieving clauses from the construction Conditions of Contract document. The prototype system integrates two computer technologies: hypermedia and expert systems. Hypermedia is utilized to provide a dyna
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Moormann, J., and C. Wilkerling. "Creating value-added services for bank customers using intelligent documents." Thesis, Українська академія банківської справи Національного банку України, 2007. http://essuir.sumdu.edu.ua/handle/123456789/60708.

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This paper presents and examines a new approach for developing valueadding services. These services are based on customer processes and the usage of intelligent documents to provide added value to the customers. Intelligent documents are appropriate means to support customer processes. The Web Mailbox is an element of a comprehensive concept for serving customer needs. Intelligent documents will not replace the individual consultation within this process but will support and strengthen the bank’s relationship to its customers significantly.
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Bauer, Kevin L. "Intelligent Pen: A least cost search approach to Stroke Extraction in Historical Documents." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/5862.

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Extracting strokes from handwriting in historical documents provides high-level features for the challenging problem of handwriting recognition. Such handwriting often contains noise, faint or incomplete strokes, strokes with gaps, overlapping ascenders and descenders and competing lines when embedded in a table or form, making it unsuitable for local line following algorithms or associated binarization schemes. We introduce Intelligent Pen for piece-wise optimal stroke extraction. Extracted strokes are stitched together to provide a complete trace of the handwriting. Intelligent Pen formulate
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Menon, Jithu. "Soar Checkers - an intelligent checkers playing agent in Soar /." Connect to this title online, 2007. http://etd.lib.clemson.edu/documents/1181251081/.

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Alam, Aftab. "Analytical and intelligent techniques for dynamcally [sic] secure dispatches." Connect to this title online, 2007. http://etd.lib.clemson.edu/documents/1181251728/.

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Anjuman, Tahera. "Evaluation of an online intelligent transportation system (ITS) asset management system." Connect to this title online, 2009. http://etd.lib.clemson.edu/documents/1263410148/.

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Khalil, Hussein. "A hybrid NLP & semantic knowledge-base approach for the intelligent exploration of Arabic documents." Thesis, Nottingham Trent University, 2017. http://irep.ntu.ac.uk/id/eprint/32938/.

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In the contemporary era, a colossal amount of information is published daily on the Web in the form of articles, documents, reviews, blogs and social media posts. As most of this data is available in the form of unstructured documents, it makes it challenging and timeconsuming to extract non-trivial, previously unknown, and potentially useful knowledge from the published documents. Hence, extracting useful knowledge from unstructured text, i.e., Information Extraction, is becoming an increasingly significant aspect of knowledge discovery. This work focuses on Information Extraction form Arabic
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Elayeb, Bilel. "SARIPOD : Système multi-Agent de Recherche Intelligente POssibiliste de Documents Web." Phd thesis, Toulouse, INPT, 2009. http://oatao.univ-toulouse.fr/7840/1/elayeb.pdf.

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La présente thèse de doctorat en informatique propose un modèle pour une recherche d'information intelligente possibiliste des documents Web et son implémentation. Ce modèle est à base de deux Réseaux Petits Mondes Hiérarchiques (RPMH) et d'un Réseau Possibiliste (RP) : Le premier RPMH consiste à structurer les documents retrouvés en zones denses de pages Web thématiquement liées les unes aux autres. Nous faisons ainsi apparaître des nuages denses de pages qui traitent d'un sujet et des sujets connexes (assez similaires sémantiquement) et qui répondent toutes fortement à une requête. Le second
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Krichen, Omar. "Conception d'un système tutoriel intelligent orienté stylet pour l'apprentissage de la géométrie basé sur une interprétation à la volée de la production manuscrite de figures." Thesis, Rennes, INSA, 2020. http://www.theses.fr/2020ISAR0006.

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Cette thèse s’inscrit dans le cadre du projet national « e-Fran » dénommé ACTIF et porte sur la conception du système tutoriel intelligent IntuiGeo pour l’apprentissage de la géométrie au collège sur tablette orientée stylet.Les contributions de cette thèse s'inscrivent dans deux axes.Le premier porte sur la conception d’un moteur de reconnaissance permettant l’interprétation à la volée de figures géométriques. Il est basé sur un formalisme grammatical générique, GMC-PC (Grammaire Multi-ensembles à Contraintes Pilotée par le Contexte). Le deuxième axe adresse l’aspect tutoriel du système. Nous
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Šprta, Vlastimil. "Inteligentní dokument." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219662.

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This diploma thesis, interested in intelligent documents, covers, in its introductory chapters, the basic problematics of inteligent documents. The major part of major part of these theorethical chapters is devoted to the analysis of possible practical applications of certain parts of knowledge management. The second part of the thesis, focused more on a practical usage of intelligent documents, includes the proposition of the actual structure and the realization of the specific intelligent document. This part also includes the evaluation and the examples of the differences between an ordinary
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Books on the topic "Intelligent documents"

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Chabane, Djeraba, ed. Multimedia mining: A highway to intelligent multimedia documents. Kluwer Academic Publishers, 2003.

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Troup, K. Columbus electronic freight management evaluation: Achieving business benefits with EFM technologies. U.S. Dept. of Transportation, Federal Highway Administration, 2009.

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Jacoby, Russell. The bell curve debate: History, documents, opinions. Times Books, 1995.

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1934-, Leary William M., ed. The Central Intelligence Agency, history and documents. University of Alabama Press, 1988.

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United States. Congress. House. Permanent Select Committee on Intelligence. United States counterintelligence and security concerns--1986: Report. U.S. G.P.O., 1987.

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United States. Congress. House. Committee on Government Operations. Government Information, Justice, and Agriculture Subcommittee. Counterintelligence and national security information: Hearing before a subcommittee of the Committee on Government Operations, House of Representatives, Ninety-ninth Congress, first session, June 17, 1985. U.S. G.P.O., 1986.

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United States. Congress. Senate. Select Committee on Intelligence. Meeting the espionage challenge: A review of United States counterintelligence and security programs : report of the Select Committee on Intelligence, United States Senate. U.S. G.P.O., 1986.

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Horst, Bunke, Wang Patrick S-P, and Baird Henry S, eds. Document image analysis. World Scientific, 1994.

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United States. Central Intelligence Agency, ed. CIA DOCUMENTS ON THE CUBAN MISSLE CRISIS... CENTRAL INTELLIGENCE AGENCY 1962. s.n., 1999.

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William, Langford. Somme intelligence: Fourth Army HQ 1916 : prisoner interrogations and captured documents. Pen & Sword Military, 2013.

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Book chapters on the topic "Intelligent documents"

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Anan, Sabiha, Nazneen Islam, Mohammed Nadir Bin Ali, et al. "Automatic Document Summarization of Unilingual Documents: A Review." In Intelligent Computing and Optimization. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-50327-6_36.

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Tsoi, Ah Chung, Markus Hagenbuchner, Milly Kc, and ShuJia Zhang. "Learning Structural Representations of Text Documents in Large Document Collections." In Intelligent Systems Reference Library. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36657-4_14.

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Oldham, Joseph D., Victor W. Marek, and Mirosław Truszczyński. "Intelligent computation of presentation documents." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63614-5_54.

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Lalmas, Mounia, Thomas Rölleke, and Norbert Fuhr. "Intelligent Retrieval of Hypermedia Documents." In Intelligent Exploration of the Web. Physica-Verlag HD, 2003. http://dx.doi.org/10.1007/978-3-7908-1772-0_20.

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Aragy, Roberto, Eraldo Rezende Fernandes, and Edson Norberto Caceres. "Rhetorical Role Identification for Portuguese Legal Documents." In Intelligent Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91699-2_38.

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Duc, Vu Minh, and Tran Ngoc Thang. "Text Spotting in Vietnamese Documents." In Intelligent Systems and Networks. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3394-3_17.

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Patil, Pushpa B., and Dakshayani M. Ijeri. "Classification of Text Documents." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3514-7_51.

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Maroua, Nouioua, Alti Adel, and Zouari Belhassen. "Document Business Process Model Extension for Modeling Secure Ubiquitous Documents." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44038-1_58.

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Král, Jaroslav, Petr Novák, and Michal Žemlička. "A System Based on Intelligent Documents." In Computational Science and Its Applications – ICCSA 2017. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62407-5_12.

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Ahn, Byung Ryul, Won-gyum Kim, Won Young Yu, and Moon-Hyun Kim. "Korean Documents Copy Detection Based on Ferret." In Advanced Intelligent Computing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24728-6_60.

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Conference papers on the topic "Intelligent documents"

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Liu, Ting, Mingjiang Wang, Qingchao Lv, and Qun Zhang. "Artificial Intelligence Based Visual Review Technology of Engineering Safety Design Documents." In 2024 4th International Symposium on Artificial Intelligence and Intelligent Manufacturing (AIIM). IEEE, 2024. https://doi.org/10.1109/aiim64537.2024.10934548.

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Joshi, Raghav, Yash Bubna, M. Sahana, and A. Shruthiba. "An Approach to Intelligent Information Extraction and Utilization from Diverse Documents." In 2024 8th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS). IEEE, 2024. https://doi.org/10.1109/csitss64042.2024.10816908.

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Khattak, Asad Masood, Jibran Mustafa, Nabeel Ahmed, Khalid Latif, and Sharifullah Khan. "Intelligent Search in Digital Documents." In 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology. IEEE, 2008. http://dx.doi.org/10.1109/wiiat.2008.208.

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Rusu, Laura Irina, Wenny Rahayu, and David Taniar. "Intelligent Dynamic XML Documents Clustering." In 22nd International Conference on Advanced Information Networking and Applications (aina 2008). IEEE, 2008. http://dx.doi.org/10.1109/aina.2008.122.

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Pally, Joseph, and Salih Yurttas. "Intelligent immersive omni-functional documents." In 2009 First International Conference on Networked Digital Technologies (NDT). IEEE, 2009. http://dx.doi.org/10.1109/ndt.2009.5272155.

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Veres, S. M., and L. Molnar. "Documents for Intelligent Agents in English." In Artificial Intelligence and Applications. ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.674-122.

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Strauß, Oliver, and Holger Kett. "Documents as Intelligent Agents: An Approach to Optimize Document Representations in Semantic Search." In 19th International Conference on Web Information Systems and Technologies. SCITEPRESS - Science and Technology Publications, 2023. http://dx.doi.org/10.5220/0012239200003584.

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Izo, Flavio, Luis Enrique Santos Prado Vereau, Juliana Pinheiro Campos Pirovani, Elias Oliveira, and Claudine Badue. "An Intelligent Report Generator for Chemical Documents." In SBSI '23: XIX Brazilian Symposium on Information Systems. ACM, 2023. http://dx.doi.org/10.1145/3592813.3592915.

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Xexéo, Geraldo, Jano de Souza, Patrícia F. Castro, and Wallace A. Pinheiro. "Using Wavelets to Classify Documents." In 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology. IEEE, 2008. http://dx.doi.org/10.1109/wiiat.2008.221.

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Schönhofen, Peter. "Annotating Documents by Wikipedia Concepts." In 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology. IEEE, 2008. http://dx.doi.org/10.1109/wiiat.2008.56.

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Reports on the topic "Intelligent documents"

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Willson. L51756 State of the Art Intelligent Control for Large Engines. Pipeline Research Council International, Inc. (PRCI), 1996. http://dx.doi.org/10.55274/r0010423.

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Computers have become a vital part of the control of pipeline compressors and compressor stations. For many tasks, computers have helped to improve accuracy, reliability, and safety, and have reduced operating costs. Computers excel at repetitive, precise tasks that humans perform poorly - calculation, measurement, statistical analysis, control, etc. Computers are used to perform these type of precise tasks at compressor stations: engine / turbine speed control, ignition control, horsepower estimation, or control of complicated sequences of events during startup and/or shutdown. For other task
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Rochelle, Jeremy. Review of Guidance from Seven States on AI in Education. Digital Promise, 2024. http://dx.doi.org/10.51388/20.500.12265/204.

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As Artificial Intelligence within education becomes increasingly important, Digital Promise reviewed the guidance documents released by seven states—California, North Carolina, Ohio, Oregon, Virginia, Washington state, and West Virginia—on how to approach artificial intelligence (AI) in education. Throughout this report we summarize the overall themes and considerations that each guidance document covers.
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Gautrais, Vincent, Anne Tchiniaev, and Émilie Guiraud. Guide des bonnes pratiques en intelligence artificielle : sept principes pour une utilisation responsable des données. Observatoire international sur les impacts sociétaux de l'IA et du numérique, 2023. http://dx.doi.org/10.61737/tuac9741.

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Ce document cherche à traduire juridiquement les centaines de documents à saveur éthique à travers un guide de bonnes pratiques susceptible d’accroitre la diligence des prestataires offrant de tels outils technologiques.
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Ross, Grant, Martin Skelly, Chris Lim, Andrew Cook, Amy Rogers, and Suzanne Zaremba. A workshop about health futures by Futures Collective Dundee. University of Dundee, 2025. https://doi.org/10.20933/100001410.

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This publication documents Health Futures, a speculative co-design project led by Futures Collective Dundee in collaboration with young people across the city. Through a series of creative workshops, participants aged between early teens and young adulthood were invited to imagine, design, and prototype health innovations for the year 2049. The project employed speculative design methods—including futurecasting, artefact creation, and scenario-based thinking—to support meaningful youth engagement in health technology research. Outputs included a range of conceptual artefacts, such as robotic c
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Brunet, Luc. Elements by artificial Intelligence. Rd mediation, 2022. http://dx.doi.org/10.17601/rdmediation.2022.9.1.

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Sylvester, Prem, Wendy Hui Kyong Chun, Anikó Hannák, et al. Global Approaches to Auditing Artificial Intelligence: A Literature Review. Edited by Danaë Metaxa, Jack Bandy, Luis Adrián Castro-Quiroa, et al. International Panel on the Information Environment (IPIE), 2024. https://doi.org/10.61452/bwym7397.

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This Synthesis Report is a literature review outlining the regulatory, industry, and academic approaches to AI audits. We review 78 articles published in peer-reviewed journals and as preprints, 21 documents from industry associations and standard-setting organizations, and national policy documents and regulations from 20 countries. Based on this review, we identify three key takeaways about the landscape of AI auditing: 1. To accurately assess the potential risks, and impacts of AI systems, we need a trustworthy audit ecosystem with complementary approaches from internal, external, and commu
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Vargas, Fernando, and Arturo Muente. Artificial Intelligence Framework for the Inter-American Development Group. Inter-American Development Bank, 2025. https://doi.org/10.18235/0013377.

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Artificial intelligence (AI) has the potential to become a transformative general-purpose technology, reshaping economic, social, and institutional frameworks globally. The Inter-American Development Bank Group (IDBG) recognizes the urgency of fostering AI adoption in Latin America and the Caribbean to catalyze productivity, inclusion, and sustainable development. This document provides a high-level strategic framework to guide IDBGs interventions in advancing AI adoption and responsible use across the region. The document reviews key challenges facing the three dimensions of AI institutions a
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Deng, Zhuohang, Zhiliang Luo, Neil Hockaday, Ahmed Farid, and Anurag Pande. Evaluation of Left Shoulder as Part-Time Travel Lane Design Alternatives and Transportation Management Center Staff Training Module Development. Mineta Transportation Institute, 2023. http://dx.doi.org/10.31979/mti.2023.2153.

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Permanent capacity expansion, such as adding new lanes, is no longer a viable strategy to address traffic congestion in California; hence, ITS (Intelligent Transportation System) strategies, such as part-time use of the shoulder as a travel lane, need to be explored. The use of the shoulder as a travel lane during peak traffic hours has limited applications in the US, and most use the right shoulder as a part-time travel lane even though either the right or left shoulder (but not both) may be used. Caltrans District 5 is exploring the use of Left Shoulder as a Part-time Travel Lane (LSPTTL) as
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Clement, Michael, Sage Broderick, and Marty Garton. Toxic Industrial Chemical / Material Intelligence Tool (TICMINT) user guide. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47924.

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The Toxic Industrial Chemical / Material Intelligence Tool (TICMINT) is a web application that provides critical chemical and toxicological information to users quickly and efficiently for the purpose of enacting safe maneuvers in areas of operations. It provides an in-depth look at the makeup, properties, and hazardous effects of nearly 400 toxic chemicals of interest. It also provides background on the chemical makeup of a bevy of building materials, enabling soldiers in areas of operation to determine the toxicological risks associated with the combustion of those materials in their environ
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King, Wayne. Barriers to Adoption of Artificial Intelligence in Metal Additive Manufacturing. SAE International, 2025. https://doi.org/10.4271/epr2025001.

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<div class="section abstract"><div class="htmlview paragraph">Artificial intelligence (AI) is poised to significantly impact metal additive manufacturing (AM). Understanding how one might use AI in AM is challenging because AM experts are not AI experts, nor the other way around. This document introduces AI in AM and guides researchers in accessing relevant literature. It also discusses the hype surrounding AI in AM, the rush to publish peer-reviewed papers that use AI in AM, and the resulting uneven quality of the literature. Conclusions regarding the application of AI in both lar
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