Relevant bibliographies by topics / Industry data tools

Contents

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

Academic literature on the topic 'Industry data tools'

Author: Grafiati
Published: 3 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Industry data tools"

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Pender, Jocelyn. "Leveraging Industry Visualization Tools for Biodiversity Science." Biodiversity Information Science and Standards 2 (May 22, 2018): e25842. https://doi.org/10.3897/biss.2.25842.

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Widespread technology usage has resulted in a deluge of data that is not limited to scientific domains. For example, technology companies accumulate vast amounts of data on their users to support their applications and platforms. The participation of many domains in big data collection, data analysis and visualization, and the need for fast data exploration has provided a stellar market opportunity for high quality data visualization software to emerge. In this talk, leading industry visualization software (Tableau) will be used to explore a biodiversity dataset (<i>Carex</i> spp. distribution
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Larrucea, Xabier, Micha Moffie, and Dan Mor. "Enhancing GDPR compliance through data sensitivity and data hiding tools." JUCS - Journal of Universal Computer Science 27, no. (7) (2021): 650–66. https://doi.org/10.3897/jucs.70369.

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Since the emergence of GDPR, several industries and sectors are setting informatics solutions for fulfilling these rules. The Health sector is considered a critical sector within the Industry 4.0 because it manages sensitive data, and National Health Services are responsible for managing patients&rsquo; data. European NHS are converging to a connected system allowing the exchange of sensitive information cross different countries. This paper defines and implements a set of tools for extending the reference architectural model industry 4.0 for the healthcare sector, which are used for enhancing
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Larrucea, Xabier, Micha Moffie, and Dan Mor. "Enhancing GDPR compliance through data sensitivity and data hiding tools." JUCS - Journal of Universal Computer Science 27, no. 7 (2021): 650–66. http://dx.doi.org/10.3897/jucs.70369.

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Since the emergence of GDPR, several industries and sectors are setting informatics solutions for fulfilling these rules. The Health sector is considered a critical sector within the Industry 4.0 because it manages sensitive data, and National Health Services are responsible for managing patients&amp;rsquo; data. European NHS are converging to a connected system allowing the exchange of sensitive information cross different countries. This paper defines and implements a set of tools for extending the reference architectural model industry 4.0 for the healthcare sector, which are used for enhan
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Eldridge, Jeanette. "Data visualisation tools—a perspective from the pharmaceutical industry." World Patent Information 28, no. 1 (2006): 43–49. http://dx.doi.org/10.1016/j.wpi.2005.10.007.

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Zazdravnykh, Aleksey V., and Elena Yu Boitsova. "Big Data as a Factor of Industry Market Entry." Vestnik Tomskogo gosudarstvennogo universiteta. Ekonomika, no. 56 (2021): 50–66. http://dx.doi.org/10.17223/19988648/56/4.

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Over the past few years, the Russian expert and scientific community has registered a significant increase in professional interest in the problem of using the capabilities of big data and algorithms for processing them as effective tools for shaping the market advantages of firms, as well as tools for limiting competition in commodity markets. At the same time, in theoretical and practical terms, this urgent issue is still very poorly studied. This article examines certain aspects of the influence of big data control on the dynamics of markets. The authors aim to develop the theory of the iss
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Pender, Jocelyn. "Leveraging Industry Visualization Tools for Biodiversity Science." Biodiversity Information Science and Standards 2 (May 22, 2018): e25842. http://dx.doi.org/10.3897/biss.2.25842.

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Widespread technology usage has resulted in a deluge of data that is not limited to scientific domains. For example, technology companies accumulate vast amounts of data on their users to support their applications and platforms. The participation of many domains in big data collection, data analysis and visualization, and the need for fast data exploration has provided a stellar market opportunity for high quality data visualization software to emerge. In this talk, leading industry visualization software (Tableau) will be used to explore a biodiversity dataset (Carex spp. distribution and mo
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Nisreen Nizar Raouf and Mohammad A. Taha Aldabbagh. "Cloud Data Integration Tools As Services." Jurnal Kendali Teknik dan Sains 2, no. 3 (2024): 08–19. http://dx.doi.org/10.59581/jkts-widyakarya.v2i3.3223.

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In this paper, a variety of data integration, cloud computing, and web services-related topics were discussed. The conversation covered the advantages of using cloud-based methods for cloud-based data integration, such as enhanced data accuracy and completeness, as well as the challenges and considerations that must be addressed. In addition, the significance of document integrity and the use of auto-enhance document tools to ensure data accuracy were emphasized. The paper also provided a broad overview of the subject, touching on a variety of aspects and providing insights into the potential
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Kumar, Sunil, and Maninder Singh. "Big data analytics for healthcare industry: impact, applications, and tools." Big Data Mining and Analytics 2, no. 1 (2019): 48–57. http://dx.doi.org/10.26599/bdma.2018.9020031.

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Malviya, Shreekant. "AI-Powered Data Governance for Insurance: A Comparative Tool Evaluation." International journal of data science and machine learning 05, no. 01 (2025): 280–99. https://doi.org/10.55640/ijdsml-05-01-24.

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As insurers are increasingly utilizing artificial intelligence for underwriting, pricing, and claims processing in an automated manner, end-to-end, open, and industry-level data governance solutions became the top priority. Although numerous AI-driven governance technologies are available, they are mostly purpose-built for generic corporate requirements and do not entirely meet the decision-making-oriented, ethics-conscious, and regulation-compliant insurance industry requirements. This paper presents a comparative evaluation of six top governance platforms—Collibra, Informatica CLAIRE, BigID,
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Ifrim, Ana Maria, Cătălin Ionuț Silvestru, Mihai-Alexandru Stoica, Cristina Vasilica Icociu, Ionica Oncioiu, and Marian Ernuț Lupescu. "Quality Tools and Their Applications in Industry." International Journal of Innovation in the Digital Economy 14, no. 1 (2023): 1–11. http://dx.doi.org/10.4018/ijide.325068.

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Almost all quality improvement methods require data collection and analysis to solve quality problems. The combination of six sigma and agile creates a six sigma agile methodology that aims to reach quality levels according to the Six Sigma requirements of 3.4 defects per million measurements. In order to achieve these objectives, it is necessary to know the industry well and implicitly the product or the analysed process. Thus, the correctness of these analyses depends on the collection of the data that will be analysed. The use of data analysis methods at each stage, especially in the measur
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Dissertations / Theses on the topic "Industry data tools"

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ILARDI, DAVIDE. "Data-driven solutions to enhance planning, operation and design tools in Industry 4.0 context." Doctoral thesis, Università degli studi di Genova, 2023. https://hdl.handle.net/11567/1104513.

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This thesis proposes three different data-driven solutions to be combined to state-of-the-art solvers and tools in order to primarily enhance their computational performances. The problem of efficiently designing the open sea floating platforms on which wind turbines can be mount on will be tackled, as well as the tuning of a data-driven engine's monitoring tool for maritime transportation. Finally, the activities of SAT and ASP solvers will be thoroughly studied and a deep learning architecture will be proposed to enhance the heuristics-based solving approach adopted by such software. The cov
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Hedin, Nathalie, and Adrian Zander. "Using KPIs in decision-making tools in the construction industry." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-253805.

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The construction industry has a great opportunity to streamline its operations even more by making greater use of the digital revolution. The industry today uses a lot of manual data management and analysis to get an overview of the business and to make decisions. This can be a time-consuming process that could be made more efficient through Business Intelligence (BI). BI is a technology that automatically, with the help of selected Key Performance Indicators (KPIs), shows the current status of how a business performs. This can allow managers and executives to make decisions easier and faster.
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An, Ping. "An investigation of the use of software development environments in the industry." Thesis, Linköping University, Department of Computer and Information Science, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2662.

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<p>Software engineering tools are being used in the industry in order to improve the productivity and the quality of the software development process. The properties of those tools are being perceived to be unsatisfactory. For example, researchers have found that some problems are due to deficient integration among the tools. Furthermore, a continuing problem is that there is a gap between the IT education and real demand of tool-skills form IT industry. Consequently, knowledge is needed of the properties of software development tools as well an understanding of demanded tool-skill from the in
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Berg, Martin, and Albin Eriksson. "Toward predictive maintenance in surface treatment processes : A DMAIC case study at Seco Tools." Thesis, Luleå tekniska universitet, Institutionen för ekonomi, teknik, konst och samhälle, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-84923.

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Surface treatments are often used in the manufacturing industry to change the surface of a product, including its related properties and functions. The occurrence of degradation and corrosion in surface treatment processes can lead to critical breakdowns over time. Critical breakdowns may impair the properties of the products and shorten their service life, which causes increased lead times or additional costs in the form of rework or scrapping.  Prevention of critical breakdowns due to machine component failure requires a carefully selected maintenance policy. Predictive maintenance is used t
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Lewis, Paul Robert. "Cutting data for automated turning tool selection in industry." Thesis, Durham University, 1996. http://etheses.dur.ac.uk/5240/.

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This thesis is concerned with the determination of cutting parameters (cutting speed, feed rate and depth of cut) in turning operations within an industrial environment. The parameters are required for the purposes of tool selection, working with a variety of batches of different materials. Previous work of this nature, little of which has been transferred into industry, has concentrated primarily on deriving optimum cutting conditions, based on a variety of deterministic and non- deterministic approaches, with a general reliance on experimentally-derived input variables. However, this work is
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Kumar, Rajat, and Santosh Shinde. "Simulation as decision support tool : A case study with data analysis, VSM and simulation applied to an ETO system." Thesis, Uppsala universitet, Industriell teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385918.

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Digital transformation is rising rapidly, where absolutely any kind of data is readily available. With the rise in digital information and technologies, businesses are aiming at measuring their processes and thereby getting better control over their operations. Industries are striving to increase efficiency and productivity to survive in the high global competitive market by adopting a digital tool. Simulation has been one of the most common tools of Industry 4.0 that allows a virtual representation of the real system. The use of simulation has tremendously increased in manufacturing industrie
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Gustafson, Christopher, and Sam Florin. "Qualification of Tool for Static Code Analysis : Processes and Requirements for Approval of Static Code Analysis in the Aviation Industry." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277941.

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In the aviation industry, the use of software development tools is not as easily adopted as in other industries. Due to the catastrophic consequences of software errors in airborne systems, software development processes has rigorous requirements. One of these requirements is that a code standard must be followed. Code standards are used to exclude code constructions which could result in unwanted behaviours. The process of manually ensuring a specific code standard can be costly. This process could be automated by a tool for static code analysis, however, this requires a formal qualification.
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Fenollosa, Artés Felip. "Contribució a l'estudi de la impressió 3D per a la fabricació de models per facilitar l'assaig d'operacions quirúrgiques de tumors." Doctoral thesis, Universitat Politècnica de Catalunya, 2019. http://hdl.handle.net/10803/667421.

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La present tesi doctoral s’ha centrat en el repte d’aconseguir, mitjançant Fabricació Additiva (FA), models per a assaig quirúrgic, sota la premissa que els equips per fer-los haurien de ser accessibles a l’àmbit hospitalari. L’objectiu és facilitar l’extensió de l’ús dels prototips com a eina de preparació d’operacions quirúrgiques, transformant la pràctica mèdica actual de la mateixa manera que en el seu moment ho van fer tecnologies com les que van facilitar l’ús de radiografies. El motiu d’utilitzar FA, en lloc de tecnologies més tradicionals, és la seva capacitat de materialitzar de forma
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Ferreira, Gonçalo José Teixeira de Pinho. "Exploring augmented and data-driven digital modeling tools in product design and engineering." Master's thesis, 2019. http://hdl.handle.net/10773/28573.

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Tools are indispensable for all diligent professional practice. New concepts and possibilities for paradigm shifting are emerging with recent computational technological developments in digital tools. However, new tools from key concepts such as “Big-Data”, “Accessibility” and “Algorithmic Design” are fundamentally changing the input and position of the Product Engineer and Designer. After the context introduction, this dissertation document starts by extracting three pivotal criteria from the Product Design Engineering's State of the Art analysis. In each one of those criteria the new emerge
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Huang, Chung-Hao, and 黃崇豪. "A Study of Evaluating the Management Efficiency of Machine Tools Industry in Taiwan－An Application of Data Envelopment Analysis." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/65339237241495227784.

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碩士<br>朝陽科技大學<br>工業工程與管理系碩士班<br>93<br>With application of Data Enevelopment Analysis (DEA) approach, this study conducts performance analysis among sixteen machine tool manufacturers in Taiwan. The input factors include the number of staff, fix assets, R&D expense and processing costs; the output factors are net revenue and EPS. While interacting the above factors and calculated by DEAP, performance efficiency results for each machine tool manufacturers are measured, including category of efficiency unit, the best inputs in each steel mills. Then, this study applies Malmquist productivity index
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Books on the topic "Industry data tools"

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Alvarez, J. Microcomputers as management tools in the sugar cane industry. Elsevier, 1985.

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A, Vaĭsburg V., ed. Avtomatizat͡s︡ii͡a︡ prot͡s︡essov podgotovki aviat͡s︡ionnogo proizvodstva na baze ĖVM i oborudovanii͡a︡ s ChPU. "Mashinostroenie", 1985.

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Yakimovich, Sergey, and Yuriy Efimov. Modeling and scientific research tools in the timber industry based on LabVIEW. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/1851518.

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The textbook describes the methods of modeling and modern theory of industrial experiment in relation to the timber industry: model design, test preparation, selection of measuring instruments and experiment planning, data processing methods and their analysis. For practical consolidation of the material, laboratory work on experimental studies of random processes of longitudinal sawing of wood based on LabVIEW and spectral analysis is presented. Meets the requirements of the federal state educational standards of higher education of the latest generation. For bachelors and masters in the fiel
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D, Smith Fred M., ed. Physician investigator handbook: GCP tools and techniques. Interpharm Press, 1997.

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United States. National Aeronautics and Space Administration., ed. Automated data acquisition technology development: Automated modeling and control development : final technical report. National Aeronautics and Space Administration, 1995.

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United, States Congress Senate Committee on Banking Housing and Urban Affairs Subcommittee on Security and International Trade and Finance. Equipping financial regulators with the tools necessary to monitor systemic risk: Hearing before the Subcommittee on Security and International Trade and Finance of the Committee on Banking, Housing, and Urban Affairs, United States Senate, One Hundred Eleventh Congress, second session, on examining the systemic risk aspect of regulatory reform, focusing on regulators' current capabilities to collect and analyze financial market data, and assessing what additional tools and resources are necessary to monitor and identify systemic risk, February 12, 2010. U.S. G.P.O., 2010.

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Whybark, D. Clay. An analysis of global data on the impact of the market on manufacturing practices. Indiana Center for Global Business, School of Business, Indiana University, 1990.

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Wilson, J. L. 3-D modeling as a tool to improve integrated design and construction. The Institute, 1994.

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Akhmedov, M. Z. Operativnyĭ uchet i analiz ispolʹzovanii͡a︡ materialov. "Finansy i statistika", 1986.

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Akhmedov, M. Z. Operativnyĭ uchet i analiz ispolʹzovanii︠a︡ materialov. "Finansy i statistika", 1986.

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Book chapters on the topic "Industry data tools"

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Krishnamurthy, Vallidevi, V. S. Aprajitha, S. Prasanna, and Nuthalapati Rahul. "Big data fusion with GEN AI Tools." In Industry 6.0. CRC Press, 2024. http://dx.doi.org/10.1201/9781003517993-3.

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Begum, Khadija, Md Mamunur Rashid, and Mohammad Arafath Uddin Shariff. "Comparative Study of Big Data Visualization Tools and Techniques." In Applied Informatics for Industry 4.0. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003256069-16.

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König, Andreas. "Dimensionality Reduction and Interactive Visualization of Multivariate Data — Methods, Tools, Applications." In Soft Computing and Industry. Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0123-9_39.

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Hong, Yan, Xianyi Zeng, Pascal Brunixaux, and Yan Chen. "Evaluation of Fashion Design Using Artificial Intelligence Tools." In Artificial Intelligence for Fashion Industry in the Big Data Era. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0080-6_12.

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Dasgupta, J. "Imparting Hands-on Industry 4.0 Education at Low Cost Using Open Source Tools and Python Eco-System." In Studies in Big Data. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25778-1_3.

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Wörner, Daniel, Lukas Budde, and Thomas Friedli. "Towards Circular Business Models in the Punching Industry: Leveraging Smart Sensor Technology for Sustainable Manufacturing Processes." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-77429-4_7.

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AbstractThe punching industry (PI) remains largely dependent on unsustainable resource use in its manufacturing process, consuming finite materials. Evolving market needs for increased environmental sustainability in the PI causes punching companies to reevaluate their existing manufacturing processes. Considering this trend, this research explores the prerequisites for transitioning to circular business models (CBMs), a subset of sustainable business models, by using smart sensor technology (SST) supporting a sustainable manufacturing process (SMP). Prior research has shown that using differe
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Ryckelynck, David, Fabien Casenave, and Nissrine Akkari. "Structured Data and Knowledge in Model-Based Engineering." In Manifold Learning. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-52764-7_1.

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AbstractModel-based engineering refers to the applied mathematical methods and tools used in the industry in the design processes. In this chapter we introduce how geometrical, thermal and mechanical models are used and combined in complex systems. These models are implemented in computer platforms. They generate structured data that enable engineers to design future products.
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Fortin, Clément, Grant McSorley, Dominik Knoll, Alessandro Golkar, and Ralina Tsykunova. "Study of Data Structures and Tools for the Concurrent Conceptual Design of Complex Space Systems." In Product Lifecycle Management and the Industry of the Future. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72905-3_53.

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Michaud, Marc-Antoine, and Roland Maranzana. "Cost Estimation Aided Software for Machined Parts: An Hybrid Model Based on PLM Tools and Data." In Product Lifecycle Management and the Industry of the Future. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72905-3_18.

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Malanchuk, Oksana, Аnatoliy Тryhuba, Ivan Rogovskii, Liudmyla Titova, Liudmyla Berezova, and Mykola Korobko. "Differential-symbolic approach and tools for management of medical support projects for the population of communities." In PROJECT MANAGEMENT: INDUSTRY SPECIFICS. TECHNOLOGY CENTER PC, 2024. https://doi.org/10.15587/978-617-8360-03-0.ch4.

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The aim of the study is to propose a differential-symbolic approach to managing community health support projects, to develop algorithms and computer models on its basis, and to use them to conduct a study of the impact of project environment components on the choice of the optimal project implementation scenario and risk assessment. The work uses project management methodology, system and differential-symbolic approaches, which underlie the developed algorithms and computer models for planning community health improvement projects and assessing their risks. To implement the proposed models, c
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Conference papers on the topic "Industry data tools"

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Toqi, Shadha Al, Janardhan Rao Saithala, Monica Fernandez, and Talal Nabhani. "Data Visualization Aspects of Corrosion Management Strategy." In CONFERENCE 2023. AMPP, 2023. https://doi.org/10.5006/c2023-18906.

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Abstract In the fourth Industry Revolution (IR 4.0) era, Oil &amp; gas operators are encouraged to transform the way we execute work processes to enhance safety, increase efficiency, and reduce cost through digital transformation. Currently, the Corrosion Barrier Management (CBM) performance is tracked manually (e.g., updating spreadsheets, extensive repetitive tasks, etc.), and there was a need for a “live” solution to monitor the facilities CBM performance through dashboards continuously. Therefore, the objective of this project was to develop, deploy and maintain a data visualization tool f
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Carnes, Matt, Bruce Beighle, and Brian Yeagley. "ECDA Workflow Optimization Utilizing Software Tools." In CORROSION 2005. NACE International, 2005. https://doi.org/10.5006/c2005-05176.

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Abstract The External Corrosion Direct Assessment (ECDA) process requires management and analyses of large amounts of data from a variety of sources. The utilization of commercially available software tools can greatly enhance the effectiveness and validity of the ECDA workflow process, as well as reduce the resource requirements. This paper presents the following five examples of optimizing the NACE RP0502-2002 ECDA Recommended Practice1 workflow, with interpretations based on industry-developed protocols and proven decision support tools originally developed for pipeline risk assessment and
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Ellor, James A., and J. Peter Ault. "Using Electronic Tools and Databases to Manage Coatings Used for Corrosion Control." In CORROSION 2008. NACE International, 2008. https://doi.org/10.5006/c2008-08197.

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Abstract This paper will explore the use of electronic tools and databases to facilitate efficient use of protective coatings for corrosion control. Electronic tools and databases are available which may impact quality assurance, condition assessment, maintenance planning, and expert systems. For various reasons, few of the tools which are developed gain widespread acceptance or use. Collecting and managing data for corrosion control coatings remains a paper-intensive activity for most owners. The paper will review the author’s experience in assisting in the development of several different sy
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Uzelac, Neb I., Michael Beller, Konrad Reber, and Otto Alfred Barbian. "New Generation of Ultrasonic In-Line Inspection Tools." In CORROSION 2004. NACE International, 2004. https://doi.org/10.5006/c2004-04162.

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Abstract In-line inspection (ILI) of pipelines has established itself as the most efficient tool for evaluating the condition of a pipeline and an indispensable part of pipeline integrity management. This paper describes the new generation of ultrasonic ILI tools, both for metal loss (corrosion) and crack detection. This paper shows how requirements on ILI data and ensuing defect assessment procedures; influence the development of new tools. The performance of these new tools is discussed, their detection and sizing performance, as well as their operational characteristics and improved reporti
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Piwowarczyk, Zuzanna. "KNOWLEDGE SHARING IN DISTRIBUTED TEAMS - THE IMPACT OF VIRTUAL COLLABORATION TOOLS." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/2.1/s07.07.

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This study analyzes the impact of virtual collaboration tools on knowledge sharing in distributed and virtual teams, operating at the intersection of technology, human behavior, and organizational processes. It aims to unravel the complexities of knowledge sharing in modern workplaces by examining the role of these tools in facilitating knowledge exchange, identifying factors for effective practices, and exploring the impact of organizational culture and industry dynamics. Through empirical research, including a self-completed online questionnaire and secondary data sources, the study addresse
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Luckow, Andre, Matthew Cook, Nathan Ashcraft, Edwin Weill, Emil Djerekarov, and Bennie Vorster. "Deep learning in the automotive industry: Applications and tools." In 2016 IEEE International Conference on Big Data (Big Data). IEEE, 2016. http://dx.doi.org/10.1109/bigdata.2016.7841045.

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Yadav, Kusum, Manjusha Pandey, and Siddharth Swarup Rautaray. "Feedback analysis using big data tools." In 2016 International Conference on ICT in Business Industry & Government (ICTBIG). IEEE, 2016. http://dx.doi.org/10.1109/ictbig.2016.7892674.

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Galotto, L., A. D. M. Brun, R. B. Godoy, F. R. R. Maciel, and J. O. P. Pinto. "Data based tools for sensors continuous monitoring in industry applications." In 2015 IEEE 24th International Symposium on Industrial Electronics (ISIE). IEEE, 2015. http://dx.doi.org/10.1109/isie.2015.7281536.

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Kruse, Rudolf. "Probabilistic Graphical Models for Data Mining and Planning in Automotive Industry." In 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007). IEEE, 2007. http://dx.doi.org/10.1109/ictai.2007.182.

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Jaskula, Klaudia, Eleni Papadonikolaki, and Dimitrios Rovas. "Comparison of current common data environment tools in the construction industry." In 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference. European Council for Computing in Construction, 2023. http://dx.doi.org/10.35490/ec3.2023.315.

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Reports on the topic "Industry data tools"

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Tandon, Samarth, Ming Gao, and Ravi Krishnamurthy. PR-328-083501-R01 Evaluation of EMAT Tool Performance and Reliability by Monitoring Industry Experience. Pipeline Research Council International, Inc. (PRCI), 2017. http://dx.doi.org/10.55274/r0011442.

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PRCI project SCC 3-7 consists of two phases: Phase I: "Evaluation of EMAT Tool Performance by Monitoring Industry Experience" (2008-2011) and Phase II: "Evaluation of the Reliability of EMAT Tool by Monitoring Industry Experience" (2012-2015). In this report, performance of the EMAT tools based on analysis of the data from 15 pipeline segments from Phase I and 35 pipeline segments from Phase II is presented. The performance is updated with the newly analyzed data in terms of the probability of detection, identification, false calls, and sizing. Categorization of these 35 segments is presented
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bin Ahsan, Wahid, Md Tanvir Hasan, Danilson Placid Purification, Nilim Ahsan, Naima Haque Numa, and Mostain Billa Tusar. Challenges and Opportunities in Bangladesh’s Content Writing Industry: A Qualitative Exploration. Userhub, 2023. http://dx.doi.org/10.58947/ghkp-lxdn.

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This research provides a qualitative, in-depth exploration of the content writing industry in Bangladesh, identifying prevalent trends, challenges, and growth potential. The study utilizes data from 44 participants, which include content writers and clients with diverse levels of industry experience, collected via online surveys and detailed interviews. Key findings suggest that while the industry is marked by a high demand for unique, engaging, and SEO-optimized content, issues pertaining to AI’s role, market saturation, and remuneration concerns persist. Despite these challenges, strategies
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Ukiwe and McDonnell. L52362 Assessing the Performance of Above Ground Coating Evaluation Surveys. Pipeline Research Council International, Inc. (PRCI), 2012. http://dx.doi.org/10.55274/r0010686.

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The primary application area for above ground coating evaluation (AGCES) methods is for unpiggable pipelines. For several reasons, however, AGCES methods are not necessarily limited along these narrow lines. For instance, most ILI tools are incapable of identifying external corrosion (which resulted from coating damage overtime) until the wall loss damage has reached the measurable detection threshold of the ILI tool. Thus, even for piggable pipelines, AGCES methods still come in handy for pipeline integrity. In fact, the most proactive approach for pipeline corrosion integrity management for
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Ersoy, Daniel. 693JK31810003 Non-Destructive Tools for Surface to Bulk Correlations of Yield Strength Toughness and Chemistry. Pipeline Research Council International, Inc. (PRCI), 2022. http://dx.doi.org/10.55274/r0012206.

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Evaluates the use of non-destructive surface testing (micro indentation, micro-machining, in situ chemistry, and replicate microscopy analysis) as a means to perform pipe material confirmation. The test results from thousands of lab and field material tests done on actual pipeline samples have been used to develop models that account for pipe material thermo-mechanical process variations and through-wall variability of material, mechanical, and chemical properties. A separate "training set" of twenty pipelines was made available to GTI, Element Resources, and ASU to allow initial model testing
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Hermansen, Anna, and Cailean Osborne. The Economic and Workforce Impacts of Open Source AI: Insights from Industry, Academia, and Open Source Research Publications. The Linux Foundation, 2025. https://doi.org/10.70828/itvq4899.

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In a literature review commissioned by Meta, LF Research found that open source AI (OSAI) is widely adopted, cost effective, highly performing, and leads to faster and higher-quality development of tools and models. The study included a comprehensive analysis of academic and industry literature as well as empirical data from previous LF Research surveys to determine existing evidence of the economic and workforce impacts of OSAI. The study assessed these impacts in four areas: Adoption rates: a significant majority (89%) of organizations are using some form of open source in their AI stack and
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Tidd, Alexander N., Richard A. Ayers, Grant P. Course, and Guy R. Pasco. Scottish Inshore Fisheries Integrated Data System (SIFIDS): work package 6 final report development of a pilot relational data resource for the collation and interpretation of inshore fisheries data. Edited by Mark James and Hannah Ladd-Jones. Marine Alliance for Science and Technology for Scotland (MASTS), 2019. http://dx.doi.org/10.15664/10023.23452.

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[Extract from Executive Summary] The competition for space from competing sectors in the coastal waters of Scotland has never been greater and thus there is a growing a need for interactive seascape planning tools that encompass all marine activities. Similarly, the need to gather data to inform decision makers, especially in the fishing industry, has become essential to provide advice on the economic impact on fishing fleets both in terms of alternative conservation measures (e.g. effort limitations, temporal and spatial closures) as well as the overlap with other activities, thereby allowing
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Janda and Scott. PR-314-103702-R01 Evaluate and Define CPCM Capabilities and Limitations. Pipeline Research Council International, Inc. (PRCI), 2011. http://dx.doi.org/10.55274/r0010822.

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Recent technology advances have led to the development of ILI tools that monitor and record CP current through electric potential longitudinal gradient measurements at the inner pipe wall. This technique represents a potential improvement to the existing standard electrical survey methods by providing more accurate data and a safer method for acquiring data. The capabilities and limitations of this developing ILI technology have not been fully defined for application in the industry due to limited experience running the tool by pipeline companies. Through collective participation by PRCI membe
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Cazenave, Pablo. PR-328-153721-R01 Development of an Industry Test Facility and Qualification Process for ILI Technology. Pipeline Research Council International, Inc. (PRCI), 2016. http://dx.doi.org/10.55274/r0011020.

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The project "Development of an Industry Test Facility and Qualification Processes for in-line inspection (ILI) technology Evaluation and Enhancements" aims to expand knowledge of ILI technology performance and identify gaps where new technology is needed. Additionally, this project aims to provide a continuing resource for ILI technology developers, researchers and pipeline operators to have access to test samples with a range of pipeline integrity threats and vintages and in-line technology test facilities at the Pipeline Research Council International, Inc. (PRCI) Technology Development and
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Ruby, Jeffrey, Robert Fischer, Richard Massaro, et al. Optimization strategies for geospatial data on end-user devices. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49359.

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The ability to quickly disseminate geospatial data across all echelons, particularly those at the tactical edge, is critical to meeting threats described by the Multi-Domain Operations doctrine. The US Army Engineer Research and Development Center, Geospatial Research Laboratory (ERDC-GRL), is researching the optimization of the formats, data models, file sizes, and quality of geospatial products to be exploited by end-user devices (EUDs). This report describes a processing methodology comprising custom software and open-source tools to optimize Army Geospatial Enterprise Standard Sharable Geo
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Ruby, Jeffrey, Robert Fischer, Richard Massaro, et al. Optimization strategies for geospatial data on end-user devices. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49366.

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The ability to quickly disseminate geospatial data across all echelons, particularly those at the tactical edge, is critical to meeting threats described by the Multi-Domain Operations doctrine. The US Army Engineer Research and Development Center, Geospatial Research Laboratory (ERDC-GRL), is researching the optimization of the formats, data models, file sizes, and quality of geospatial products to be exploited by end-user devices (EUDs). This report describes a processing methodology comprising custom software and open-source tools to optimize Army Geospatial Enterprise Standard Sharable Geo
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