Bibliografías temáticas / Automatic data structuring

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Literatura académica sobre el tema "Automatic data structuring"

Autor: Grafiati
Publicado: 23 de noviembre de 2024
Última modificación: 31 de julio de 2025

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Artículos de revistas sobre el tema "Automatic data structuring"

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Duval, Erik, Henk Olivié, and Nick Scherbakov. "Contained Hypermedia." JUCS - Journal of Universal Computer Science 1, no. (10) (1995): 687–705. https://doi.org/10.3217/jucs-001-10-0687.

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We propose a new hypermedia data model, called CHM for Contained HyperMedia. Our model is based on set-oriented data structuring, with a strong emphasis on automatic maintenance of link integrity. In this paper, the CHM model is presented in detail: both data structuring, navigational facilities and authoring support are presented. We will also explain how we have integrated support for the CHM model in Home, our Hypermedia Object Management Environment, publicly accessible through the World-Wide Web.
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Yermukhanbetova, Sharbanu, and Gulnara Bektemyssova. "AUTOMATIC MERGING AND STRUCTURING OF DATA FROM DIFFERENT CATALOGS." JP Journal of Heat and Mass Transfer, Special (June 4, 2020): 7–11. http://dx.doi.org/10.17654/hmsi120007.

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Xiong, Wei, Chung-Mong Lee, and Rui-Hua Ma. "Automatic video data structuring through shot partitioning and key-frame computing." Machine Vision and Applications 10, no. 2 (1997): 51–65. http://dx.doi.org/10.1007/s001380050059.

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Pryhodinuk, V. V., Yu A. Tymchenko, M. V. Nadutenko, and A. Yu Gordieiev. "Automated data processing for evaluation the hydrophysical state of the Black Sea water areas." Oceanographic Journal (Problems, methods and facilities for researches of the World Ocean), no. 2(13) (April 22, 2020): 114–29. http://dx.doi.org/10.37629/2709-3972.2(13).2020.114-129.

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The article explores the issues of collecting, structuring and displaying oceanographic information from spatially distributed sources. The aim of the work was to develop services for an intelligent information system (IIS) designed to assess the hydrophysical state of the Black Sea waters by creating a library of ontological descriptions of the processing and displaying information in the IIS software environment. Article describes approaches to the creation of an automated data processing system for the assessment of the hydrophysical state of the Black Sea using the method of recursive redu
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Yu, Haiyang, Shuai Yang, Zhihai Wu, and Xiaolei Ma. "Vehicle trajectory reconstruction from automatic license plate reader data." International Journal of Distributed Sensor Networks 14, no. 2 (2018): 155014771875563. http://dx.doi.org/10.1177/1550147718755637.

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Using perception data to excavate vehicle travel information has been a popular area of study. In order to learn the vehicle travel characteristics in the city of Ruian, we developed a common methodology for structuring travelers’ complete information using the travel time threshold to recognize a single trip based on the automatic license plate reader data and built a trajectory reconstruction model integrated into the technique for order preference by similarity to an ideal solution and depth-first search to manage the vehicles’ incomplete records phenomenon. In order to increase the practic
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Dovgal, Sofiia, Egor Mukhaev, Marat Sabitov, and Lyubov' Adamcevich. "Development of a web service for processing data from electronic images of urban plans of land plots." Construction and Architecture 11, no. 1 (2023): 17. http://dx.doi.org/10.29039/2308-0191-2022-11-1-17-17.

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The article gives an idea of the content of urban planning plans for land plots (UPPLP), their purpose, as well as the relevance of developing a service for automatic recognition of data from an electronic image of a document. The existing services for automatic processing of documents are analyzed, and a technical solution developed by the authors is presented in the form of a web service for parsing and structuring electronic images of UPPLP. The description of the structure and operation of the web service, as well as the data conversion algorithm implemented in the solution is given.
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Tang, Shi, Takamasa Bito, and Kazuya Shide. "Automatic Classification of BIM Object Based on IFC Data Using the Uniclass Classification Standard." Buildings 15, no. 13 (2025): 2347. https://doi.org/10.3390/buildings15132347.

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Classification of BIM objects is critical for enhancing information interoperability and standardization within construction projects; however, research on automated BIM object classification based on standardized classification systems remains limited. Therefore, this study proposes an automated method to classify BIM objects using IFC data under the Uniclass system, aiming to enhance standardization, semantic clarity, and practical applicability. The proposed method first assigns Uniclass codes to 8715 BIM objects, then extracts 13 types of IFC-derived feature variables—including semantic, s
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Kopyrin, Andrey Sergeevich, and Irina Leonidovna Makarova. "Algorithm for preprocessing and unification of time series based on machine learning for data structuring." Программные системы и вычислительные методы, no. 3 (March 2020): 40–50. http://dx.doi.org/10.7256/2454-0714.2020.3.33958.

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The subject of the research is the process of collecting and preliminary preparation of data from heterogeneous sources. Economic information is heterogeneous and semi-structured or unstructured in nature. Due to the heterogeneity of the primary documents, as well as the human factor, the initial statistical data may contain a large amount of noise, as well as records, the automatic processing of which may be very difficult. This makes preprocessing dynamic input data an important precondition for discovering meaningful patterns and domain knowledge, and making the research topic relevant.Data
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Willot, L., D. Vodislav, L. De Luca, and V. Gouet-Brunet. "AUTOMATIC STRUCTURING OF PHOTOGRAPHIC COLLECTIONS FOR SPATIO-TEMPORAL MONITORING OF RESTORATION SITES: PROBLEM STATEMENT AND CHALLENGES." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-2/W1-2022 (February 25, 2022): 521–28. http://dx.doi.org/10.5194/isprs-archives-xlvi-2-w1-2022-521-2022.

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Abstract. Over the last decade, a large number of digital documentation projects have demonstrated the potential of image-based modelling of heritage objects in the context of documentation, conservation, and restoration. The inclusion of these emerging methods in the daily monitoring of the activities of a heritage restoration site (context in which hundreds of photographs per day can be acquired by multiple actors, in accordance with several observation and analysis needs) raises new questions at the intersection of big data management, analysis, semantic enrichment, and more generally autom
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Galauskis, Maris, and Arturs Ardavs. "The Process of Data Validation and Formatting for an Event-Based Vision Dataset in Agricultural Environments." Applied Computer Systems 26, no. 2 (2021): 173–77. http://dx.doi.org/10.2478/acss-2021-0021.

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Abstract In this paper, we describe our team’s data processing practice for an event-based camera dataset. In addition to the event-based camera data, the Agri-EBV dataset contains data from LIDAR, RGB, depth cameras, temperature, moisture, and atmospheric pressure sensors. We describe data transfer from a platform, automatic and manual validation of data quality, conversions to multiple formats, and structuring of the final data. Accurate time offset estimation between sensors achieved in the dataset uses IMU data generated by purposeful movements of the sensor platform. Therefore, we also ou
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Tesis sobre el tema "Automatic data structuring"

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Blettery, Emile. "Structuring heritage iconographic collections : from automatic interlinking to semi-automatic visual validation." Electronic Thesis or Diss., Université Gustave Eiffel, 2024. http://www.theses.fr/2024UEFL2001.

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Cette thèse explore des approches de structuration automatique et semi-automatique pour les collections de contenus iconographiques patrimoniaux. La structuration et l'exploitation de tels contenus pourrait s'avérer bénéfique pour de nombreuses applications, du tourisme virtuel à un accès facilité pour les chercheurs et le grand public. Cependant, l'organisation "en silo" inhérente à ces collections entrave les approches de structuration automatique et toutes les applications subséquentes.La communauté de la vision par ordinateur a proposé de nombreuses méthodes automatiques pour l'indexation
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Cheon, Saehoon. "Experimental Frame Structuring For Automated Model Construction: Application to Simulated Weather Generation." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/195473.

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The source system is the real or virtual environment that we are interested in modeling. It is viewed as a source of observable data, in the form of time-indexed trajectories of variables. The data that has been gathered from observing or experimenting with a system is called the system behavior data base. The time indexed trajectories of variables provide an important clue to compose the DEVS (discrete event specification) model. Once event set is derived from the time indexed trajectories of variable, the DEVS model formalism can be extracted from the given event set. The process must not be
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Hiot, Nicolas. "Construction automatique de bases de données pour le domaine médical : Intégration de texte et maintien de la cohérence." Electronic Thesis or Diss., Orléans, 2024. http://www.theses.fr/2024ORLE1026.

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La construction automatique de bases de données dans le domaine médical représente un défi majeur pour garantir une gestion efficace de l'information et faciliter les prises de décision. Ce projet de recherche se concentre sur l'utilisation des bases de données graphes, une approche qui offre une représentation dynamique et une interrogation efficace des données et en particulier de leur topologie. Notre projet explore la convergence entre les bases de données et le traitement automatique du langage, avec deux objectifs centraux. Tout d'abord, notre attention se porte sur le maintien de la coh
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Capítulos de libros sobre el tema "Automatic data structuring"

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Mierswa, Ingo, Katharina Morik, and Michael Wurst. "Handling Local Patterns in Collaborative Structuring." In Successes and New Directions in Data Mining. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-645-7.ch008.

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Media collections in the internet have become a commercial success and the structuring of large media collections has thus become an issue. Personal media collections are locally structured in very different ways by different users. The level of detail, the chosen categories, and the extensions can differ completely from user to user. Can machine learning be of help also for structuring personal collections? Since users do not want to have their hand-made structures overwritten, one could deny the benefit of automatic structuring. We argue that what seems to exclude machine learning, actually
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Koshman, Varvara, Anastasia Funkner, and Sergey Kovalchuk. "An Unsupervised Approach to Structuring and Analyzing Repetitive Semantic Structures in Free Text of Electronic Medical Records." In pHealth 2021. IOS Press, 2021. http://dx.doi.org/10.3233/shti210579.

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Electronic Medical Records (EMR) contain a lot of valuable data about patients, which is however unstructured. There is a lack of labeled medical text data in Russian and there are no tools for automatic annotation. We present an unsupervised approach to medical data annotation. Morphological and syntactical analyses of initial sentences produce syntactic trees, from which similar subtrees are then grouped by Word2Vec and labeled using dictionaries and Wikidata categories. This method can be used to automatically label EMRs in Russian and proposed methodology can be applied to other languages,
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Blanchard, Emmanuel G., Riichiro Mizoguchi, and Susanne P. Lajoie. "Structuring the Cultural Domain with an Upper Ontology of Culture." In Handbook of Research on Culturally-Aware Information Technology. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-61520-883-8.ch009.

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Study of cultural similarities and differences is an important research topic for many disciplines such as psychology, sociology, anthropology, archaeology, museology, communication, management and business. This presents many potential opportunities for Information Technology specialists to develop culturally-aware technology, but it also raises the risk of inconsistent approaches of the cultural domain. In this chapter, the authors present the fundamental concepts of the Upper Ontology of Culture (UOC), a formal conceptualization of the cultural domain they developed by identifying the commo
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"Chapter 1. Graphematical analysis." In LINGUISTIC ANALYZER: AUTOMATIC TRANSFORMATION OF NATURAL LANGUAGE TEXTS INTO INFORMATION DATA STRUCTURE. St. Petersburg State University, 2019. http://dx.doi.org/10.21638/11701/9785288059278.02.

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Graphematical analysis marks the first stage of text processing. However, prior to it, basic text structuring takes place, resulting in the identification of paragraphs and their types, e.g. title, subtitle, author name(s), chapter and section titles, footnotes, endnotes, figures, appendices, epigraphs, etc. After that, graphematical analysis proper begins. Its aim is to decompose the flow of letter and non-letter graphemes into character strings such as individual words, abbreviations, numbers, and hybrid strings (e.g. mathematical formulae). The procedure implies an iterative process of unit
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Kung, Jo-Chi, Chia-Hui Chang, Huai-Hsuan Huang, and Kuo-Chun Chien. "A Narrative Assistant for Traffic Accidents Based on Large Language Models (LLM)." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. https://doi.org/10.3233/faia241236.

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This study introduces the Collision Clarification Generator (CCG), a Large Language Model-based system designed to assist in documenting traffic accidents. The CCG comprises three modules: Questioning, Information Extraction, and Accident Sequence Generation, which collectively streamline the process of gathering and structuring accident information. The system employs predefined question templates and a standardized Traffic Accident Record Format (TARF) to ensure comprehensive data collection. Evaluation of the CCG involved both human assessment and LLM-based automatic evaluation. Results sho
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Madhura K, Dr. "APPLICATION OF AI AND BLOCKCHAIN TECHNOLOGY IN DCMS FOR THE AUTOMATIC DOCUMENT CLASSIFICATION AND IMPROVE THE SECURITY." In Futuristic Trends in Computing Technologies and Data Sciences Volume 3 Book 3. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bfct3p3ch5.

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Every day, the volume of information carried back and forth across the internet grows at a rate of around 2.3 quintillion bytes. Accelerated technical advancement, increased user interaction, and very efficient application development are just a few of the various advantages that may be realized by increasing speed. This methodology uses artificial intelligence to arrange unstructured yet sensitive data. This prevents unauthorized third parties from accessing the information and ensures that data flows correctly so that the programmer may continue to function effectively. To accomplish this, c
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Hai-Jew, Shalin. "Structuring and Facilitating Online Learning through Learning/Course Management Systems." In Data Mining. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2455-9.ch070.

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Online learning—whether it is human-facilitated or automated, hybrid/blended, asynchronopus or synchronous or mixed--often relies on learning/course management systems (L/CMSes). These systems have evolved in the past decade-and-a-half of popular use to integrate powerful tools, third-party software, Web 2.0 functionalities (blogs, wikis, virtual worlds, and tag clouds), and a growing set of capabilities (eportfolios, data management, back-end data mining, information assurance, and other elements). This chapter highlights learning/course management systems, their functionalities and structure
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Gebel Rudolph S. "Semi-Automatic Coding with ICPC: The Thesaurus, the Algorithm and the Dutch Subtitles." In Studies in Health Technology and Informatics. IOS Press, 1997. https://doi.org/10.3233/978-1-60750-887-8-421.

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In the ICPC Thesaurus Project, which ran from 1990 to 1992, the Dutch translation of the English version of the ICPC-components 1 and 7 was made available for automated coding by structuring and improving the thesaurus and by developing an algorithm for selecting possible ICPC-codes from a set of medical terms given as input to the program. The thesaurus and algorithm are available to the developers of GP information systems and are at present incorporated in all Dutch GP-systems. This paper brings you up to date with the semi-automatic coding system and the so called Dutch subtitles, an exten
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Brilhante, Virginia, and Dave Robertson. "Metadata-Supported Automated Ecological Modelling." In Environmental Information Systems in Industry and Public Administration. IGI Global, 2001. http://dx.doi.org/10.4018/978-1-930708-02-0.ch021.

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Ecological models should be rooted in data derived from observation, allowing methodical model construction and clear accounts of model results with respect to the data. Unfortunately, many models are retrospectively fitted to data because in practice it is difficult to bridge the gap between concrete data and abstract models. Our research is on automated methods to support bridging this gap. The approach proposed consists of raising the data level of abstraction via an ecological metadata ontology and from that, through logic-based knowledge representation and inference, to automatically gene
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Karlsson Johan and Eklund Patrik. "Data Mining and Structuring of Executable Data Analysis Reports: Guideline Development and Implementation in a Narrow Sense." In Studies in Health Technology and Informatics. IOS Press, 2000. https://doi.org/10.3233/978-1-60750-921-9-790.

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In this paper we present a data mining scenario that supports development of automated web-based documenta- tion of data analysis for diagnosis and treatment. The documents can be seen as guidelines in a narrow sense, and are designed to include executable modules for the corresponding decision support systems. Our aim is to discuss the possibilities of identifying certain types of diagnoses and treatments for which guidelines can be generated and computerised more systematically.
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Actas de conferencias sobre el tema "Automatic data structuring"

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Pathak, Shreyasi, Jorit van Rossen, Onno Vijlbrief, Jeroen Geerdink, Christin Seifert, and Maurice van Keulen. "Automatic Structuring of Breast Cancer Radiology Reports for Quality Assurance." In 2018 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2018. http://dx.doi.org/10.1109/icdmw.2018.00111.

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Jasem, P., S. Dolinska, J. Paralic, and M. Dudas. "Automatic Data Mining and Structuring for Research on Birth Defects." In 2008 6th International Symposium on Applied Machine Intelligence and Informatics (SAMI '08). IEEE, 2008. http://dx.doi.org/10.1109/sami.2008.4469151.

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Sailer, Anca, Xing Wei, and Ruchi Mahindru. "Enhanced Maintenance Services with Automatic Structuring of IT Problem Ticket Data." In 2008 IEEE International Conference on Services Computing (SCC). IEEE, 2008. http://dx.doi.org/10.1109/scc.2008.70.

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Wei, Xing, Anca Sailer, Ruchi Mahindru, and Gautam Kar. "Automatic Structuring of IT Problem Ticket Data for Enhanced Problem Resolution." In 2007 10th IFIP/IEEE International Symposium on Integrated Network Management. IEEE, 2007. http://dx.doi.org/10.1109/inm.2007.374727.

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Kano Glückstad, Fumiko. "Application of an Automatic Data Alignment & Structuring System for Intercultural Consumer Segmentation Analysis." In 7th International Conference on Knowledge Engineering and Ontology Development. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005605602510256.

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Zhang, Yanhao, Fanyi Wang, Weixuan Sun, et al. "Matting Moments: A Unified Data-Driven Matting Engine for Mobile AIGC in Photo Gallery." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/845.

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Image matting is a fundamental technique in visual understanding and has become one of the most significant capabilities in mobile phones. Despite the development of mobile storage and computing power, achieving diverse mobile Artificial Intelligence Generated Content (AIGC) applications remains a great challenge. To address this issue, we present an innovative demonstration of an automatic system called "Matting Moments" that enables automatic image editing based on matting models in different scenarios. Coupled with accurate and refined matting subjects, our system provides visual element ed
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Mendoza, Isela, Fernando Silva Filho, Gustavo Medeiros, Aline Paes, and Vânia O. Neves. "Comparative Analysis of Large Language Model Tools for Automated Test Data Generation from BDD." In Simpósio Brasileiro de Engenharia de Software. Sociedade Brasileira de Computação, 2024. http://dx.doi.org/10.5753/sbes.2024.3423.

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Automating processes reduces human workload, particularly in software testing, where automation enhances quality and efficiency. Behavior-driven development (BDD) focuses on software behavior to define and validate required functionalities, using tools to translate functional requirements into automated tests. However, creating BDD scenarios and associated test data inputs is timeconsuming and heavily reliant on a good input data set. Large Language Models (LLMs) such as Microsoft’s Copilot, OpenAI’s ChatGPT-3.5, ChatGPT-4, and Google’s Gemini offer potential solutions by automating test data
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Kacerik, Martin, and Jiri Bittner. "On Importance of Scene Structure for Hardware-Accelerated Ray Tracing." In WSCG 2023 – 31. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision. University of West Bohemia, Czech Republic, 2023. http://dx.doi.org/10.24132/csrn.3301.60.

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Ray tracing is typically accelerated by organizing the scene geometry into an acceleration data structure. Hardware-accelerated ray tracing, available through modern graphics APIs, exposes an interface to the acceleration structure (AS) builder that constructs it given the input scene geometry. However, this process is opaque, with limited knowledge and control over the internal algorithm. Additional control is available through the layout of the AS builder input data, the geometry of the scene structured in a user-defined way. In this work, we evaluate the impact of a different scene structur
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Pakhaev, Khusein. "Methods And Technologies Of Automation And Data Structuring In Agriculture." In International Conference "Modern trends in governance and sustainable development of socio-economic systems: from regional development to global economic growth". European Publisher, 2024. http://dx.doi.org/10.15405/epms.2024.09.70.

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Homlong, Eirik G., Rahul P. Kumar, Ole Jakob Elle, and Ola Wiig. "Automated structuring of gait data for analysis purposes - A deep learning pilot example." In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2023. http://dx.doi.org/10.1109/embc40787.2023.10340938.

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