Relevant bibliographies by topics / Principles of accuracy

Contents

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

Academic literature on the topic 'Principles of accuracy'

Author: Grafiati
Published: 27 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Principles of accuracy"

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Ranstam, Jonas, Leif Ryd, and Ingemar Önsten. "Accurate accuracy assessment: Review of basic principles." Acta Orthopaedica Scandinavica 70, no. 4 (1999): 319–21. http://dx.doi.org/10.3109/17453679908997816.

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CROSS, P. A. "Inertial surveying: principles, methods and accuracy†." International Journal of Remote Sensing 6, no. 10 (1985): 1585–98. http://dx.doi.org/10.1080/01431168508948307.

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Handitya, Binov. "The Principles of Good Government in Suppressing Corruption." Law Research Review Quarterly 5, no. 1 (2019): 1–16. http://dx.doi.org/10.15294/snh.v5i01.29712.

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This paper discusses the application of The Principles Of Good Government, or what we often know with the General Principles of Good Governance (AUPB) in the implementation of government policies, needs to be improved. As a form of filter that is able to filter out any government administration so that it can be free from the snare of corruption. Public officials or implementers must be emphasized in understanding in depth the principles contained in the AUPB to be applied in providing services to the public / community. There are at least 8 (eight) principles attached to the AUPB based on the
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Seddighi, Amir Saied, Afsoun Seddighi, Mahsa Ghadirian, et al. "Principles of Neuronavigation." Iranian Journal of Neurosurgery 8, Special Issue (2022): 3. http://dx.doi.org/10.32598/irjns.specialissue.3.

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Background and Aim: Numerous efforts have been made over the past century. Various innovation techniques are increasingly gaining attention and gradually establishing the foundation of recent significant developments in the world of neurosurgery, among which varied stereotactic neuro-navigation designs and other novel emerging systems are being developed every day. This narrative review aims to describe basic concepts in frameless stereotaxy and summarize the primary principles of neuronavigation and clarify basic characteristics, such as the accuracy of this technique (frameless navigation),
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Chen, Rui, and Rong Li Cai. "Research on Test Technology of Intersection Laser Accuracy Optical Target." Applied Mechanics and Materials 220-223 (November 2012): 2071–74. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.2071.

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The projectile’s shooting accuracy measurement is an important content during the target measurment, based on the analysis of the various test principles of existing accuracy test equipment, i.e. accuracy optical target,a new-type test technology of accuracy optical target ,which is based on intersection laser principle, has been designed. In the design, the optical path is reasonable, and the circuit is simple without amplifier circuit but can realize digital signal processing and it has made experimental verification on the core technologies of the sensitivity and frequency response etc. in
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Atmaja, I. Made Dharma. "Prinsip Induksi Matematika dalam Pengambilan Keputusan Organisasi." CENDEKIA : Jurnal Penelitian dan Pengkajian Ilmiah 1, no. 4 (2024): 115–31. http://dx.doi.org/10.62335/v1519165.

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The principle of mathematical induction can be an effective tool in organizational decision making. Although these principles have the potential to increase efficiency, reduce uncertainty, and increase accuracy in organizational decision making, their application is limited and has not been fully exploited. Studies need to be conducted to bridge this gap by strengthening the understanding and application of the principles of mathematical induction in the context of organizational decision making. By considering the gaps that occur, it is necessary to conduct research on "The Principle of Mathe
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Nevisandeh, Mohammad, and Abdollah Rostami Chalkasari. "Principles of Speed and Accuracy in the Civil Proceedings." Procedia Economics and Finance 36 (2016): 321–26. http://dx.doi.org/10.1016/s2212-5671(16)30043-0.

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Fattebert, Jean-Luc, and François Gygi. "Linear scaling first-principles molecular dynamics with controlled accuracy." Computer Physics Communications 162, no. 1 (2004): 24–36. http://dx.doi.org/10.1016/j.cpc.2004.06.068.

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Yakovlev, D. V., Yu S. Lukovatyi, and N. O. Spirina. "Design principles and accuracy of an inertial surveying system." Journal of Mining Science 34, no. 4 (1998): 357–66. http://dx.doi.org/10.1007/bf02803699.

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Hyšpler, P., and T. Dostálová. "PRINCIPLES OF INTRAORAL SCANNERS AND MEASUREMENT OF THEIR ACCURACY." Česká stomatologie a praktické zubní lékařství 125, no. 1 (2025): 13–22. https://doi.org/10.51479/cspzl.2025.002.

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Dissertations / Theses on the topic "Principles of accuracy"

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Al-slaity, Ala'a Nasir. "Beyond Recommendation Accuracy: A Human-Like Recommender System." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/41881.

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Since the emergence of Recommender Systems (RS), most of the research has focused on improving the capability of a recommender system to predict and provide an accurate recommendation. However, the literature has demonstrated increasing evidence that providing accurate recommendations is not sufficient to increase users’ acceptance of the provided recommendations. Hence, it is vital for a recommender system to focus not only on the accuracy of the provided recommendations but also on other factors that influence the acceptance of recommendations and the extent to which these recommendations ar
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Shrif, Fadil Ezzedin Irhoma. "The accuracy of filtered basis functions for the first principles modelling of defects in semiconductors." Thesis, University of Newcastle upon Tyne, 2013. http://hdl.handle.net/10443/1935.

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This work presents the results of calculations using filtered basis functions performed with the ab initio modelling program (AIMPRO). The filtration method works by projecting out (filtering) components of a reference basis function that are not required for a description of the occupied states, thereby producing functions that are localised in energy. This leads to a significant reduction in the number of functions that are needed. It is demonstrated that when studying diamond, silicon and defects in these materials, the use of filtered basis sets using just four basis functions per atom can
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McCarthy, Mary Miller. "FINANCIAL STATEMENT PREPARERS' REVENUE DECISIONS: ACCURACY IN APPLYING RULES-BASED STANDARDS AND THE IASB-FASB REVENUE RECOGNITION MODEL." NSUWorks, 2012. http://nsuworks.nova.edu/hsbe_etd/73.

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U.S. GAAP and the software industry in particular, are on the verge of a major alteration in revenue-recognition accounting standards. The IASB-FASB joint revenue-recognition project is due to be finalized over the next year with the result being a shift from a rules-based set of accounting standards to a principles-based standard. The purpose of this research is to examine financial statement preparers' software revenue-recognition decisions under a principles-based accounting standard compared to a rules-based accounting standard both with and without a personal incentive to maximize revenue
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Louw, Andries Barnabas. "Tools for the revision of a maintenance strategy for an explosives manufacturing plant, using asset management principles / A.B. Louw." Thesis, North-West University, 2009. http://hdl.handle.net/10394/3835.

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The research topic is: Tools for the revision of a maintenance strategy for an explosives manufacturing plant, using asset management principles. This research has specific reference to the SASOL Prillan plant based in SASOL, Sasolburg. The purpose of this research is to identify tools for the revision of a maintenance strategy for an explosives manufacturing plant, using asset management principles. These tools must be aimed to increase the proactive work capacity index, Figure 3, and to identify and/or develop tools that can be used by the engineering team of this explosives manufacturing pl
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Barletta, Paolo. "Accurate first principles calculations on the spectrum of water." Thesis, University College London (University of London), 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.401819.

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Zhao, Qing Ph D. Massachusetts Institute of Technology. "First-principles approaches for accurate predictions of nanostructured materials." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121849.

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Thesis: Ph. D. in Mechanical Engineering and Computation, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019<br>Cataloged from PDF version of thesis. "February 2019."<br>Includes bibliographical references (pages 154-180).<br>Nanostructured materials have attracted increasing interest in recent years due to their unusual mechanical, electrical, electronic and optical properties. First-principles electronic structure calculations (e.g., with density functional theory or DFT) provide unique insights into the structure-property relationships of nanostructured materi
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Kieri, Emil. "Accuracy aspects of the reaction-diffusion master equation on unstructured meshes." Thesis, Uppsala universitet, Avdelningen för teknisk databehandling, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-145978.

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The reaction-diffusion master equation (RDME) is a stochastic model for spatially heterogeneous chemical systems. Stochastic models have proved to be useful for problems from molecular biology since copy numbers of participating chemical species often are small, which gives a stochastic behaviour. The RDME is a discrete space model, in contrast to spatially continuous models based on Brownian motion. In this thesis two accuracy issues of the RDME on unstructured meshes are studied. The first concerns the rates of diffusion events. Errors due to previously used rates are evaluated, and a second
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Nkoghe, Eyeghe Norbertin. "Development of a First-principle Model of a Semi-batch Rhodium Dissolution Process." Diss., University of Pretoria, 2017. http://hdl.handle.net/2263/64414.

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First-principle modelling of chemical processes and their unit operations has been of great interest in the chemical process, as well as the control and allied industries over the past decades. This is because it offers the opportunity to develop virtual representations (models) of real process systems, which can be used to describe and predict the dynamic behaviour of those systems. These models are based on the fundamentals of the transport phenomena of fluid dynamics (involving momentum transfer), mass transfer, and energy transfer of the systems they describe. A first-principle mode
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Kulik, Heather J. "First-principles transition-metal catalysis : efficient and accurate approaches for studying enzymatic systems." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/46389.

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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering, 2009.<br>Includes bibliographical references (p. 211-221).<br>(cont.) We apply our approach to several paradigmatic systems: spin state splittings and structural properties of Fe2 and other small molecules as well as the addition-elimination reactions of hydrogen and methane on FeO+ to form water and methanol, respectively. We find that errors from
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Azam, Farooq. "Biologically Inspired Modular Neural Networks." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/27998.

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This dissertation explores the modular learning in artificial neural networks that mainly driven by the inspiration from the neurobiological basis of the human learning. The presented modularization approaches to the neural network design and learning are inspired by the engineering, complexity, psychological and neurobiological aspects. The main theme of this dissertation is to explore the organization and functioning of the brain to discover new structural and learning inspirations that can be subsequently utilized to design artificial neural network. The artificial neural networks are tout
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Books on the topic "Principles of accuracy"

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Congalton, Russell G. Assessing the accuracy of remotely sensed data: Principles and practices. Lewis, 1999.

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Congalton, Russell G. Assesssing the accuracy of remotely sensed data: Principles and practices. Lewis Publications, 1999.

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Kass, Green, ed. Assessing the accuracy of remotely sensed data: Principles and practices. 2nd ed. CRC Press/Taylor & Francis, 2008.

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L, Dickinson Terry, and Air Force Human Resources Laboratory., eds. Work performance ratings: Cognitive modeling and feedback principles in rater accuracy training. Air Force Systems Command, Air Force Human Resources Laboratory, 1990.

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Budenkov, Nikolay, Petr Nehoroshkov, and Ol'ga Schekova. Engineering Geodesy course. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1085322.

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The textbook covers general information on geodesy, cartography and topography, provides the basic principles of working with geodetic instruments, provides basic methods of geodetic measurements, estimates of measurement accuracy, and provides the basic principles of engineering and geodetic works performed during surveys, design and construction of complex engineering structures. The main methods of surveys, center work and executive surveys carried out during the commissioning of facilities are described.&#x0D; Meets the requirements of the federal state educational standards of higher educ
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Skrypnik, Oleg. Radio navigation and landing systems. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/1874250.

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The textbook discusses the issues of the general theory of navigation necessary for mastering the material that reveals the principles of construction and operation of on-board devices and radio navigation systems. The general characteristics of radio engineering and non-radio engineering navigation aids are given. The classification is given and the main characteristics of radio navigation systems are considered. Navigation concepts and terms are explained. The coordinate systems used in aviation navigation, methods for determining navigation parameters, as well as factors affecting the accur
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Shalimov, Mihail, Andrey Fiveyskiy, and Ekaterina Votinova. The basics of technological preparation of production. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1027837.

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The tutorial provides basic information about the purpose, content, basic principles and organization of technological preparation of welding production. The types of technical documents, their purpose and content; fundamentals of design of technological process of manufacture of welded structures. Special attention is paid to the optimisation of the design for manufacturability.&#x0D; A careful study of the textbook material will prepare the student for designing welded structures with the required accuracy and reliability at a given performance and economic efficiency, as well as development
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Galtinovskiy, Andrey, Sergey Bochkarev, and Mihail Abashin. Theoretical foundations of rocket and space technology production. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/1959273.

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The textbook contains material for studying the theoretical foundations of the technology of production of rocket and space technology, including the features of its manufacture and the organization of technical training. Methods for determining errors and their calculations in the processing of parts, achieving processing accuracy, calculating allowances are considered. The theoretical principles of designing technological processes and registration of technological documentation are given. The technological foundations of increasing labor productivity and the degree of perfection and progres
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Myeyeryakova, Vyera, and Viktor Starodubov. CNC Metal-cutting Machines. INFRA-M Academic Publishing LLC., 2015. http://dx.doi.org/10.12737/5721.

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In the manual various ways of control of metal-cutting machines are considered, the principles of construction and possibility of systems of ChPU are given. Features of configurations and designs of machines with ChPU are presented,&#x0D; ways of expansion of their technological capabilities, increases of productivity, accuracy and reliability.&#x0D; The tasks solved during the training of managing directors of programs, feature of technological preparation, mathematical calculations and control unitary enterprise are considered. Programming bases for machines about ChPU, methods of adjusting
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1946-, Thurman E. M., ed. Liquid chromatography/time-of-flight mass spectrometry: Principles, tools, and applications for accurate mass analysis. Wiley, 2008.

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Book chapters on the topic "Principles of accuracy"

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Bramer, Max. "Estimating the Predictive Accuracy of a Classifier." In Principles of Data Mining. Springer London, 2016. http://dx.doi.org/10.1007/978-1-4471-7307-6_7.

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Bramer, Max. "Estimating the Predictive Accuracy of a Classifier." In Principles of Data Mining. Springer London, 2020. http://dx.doi.org/10.1007/978-1-4471-7493-6_7.

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Bramer, Max. "Estimating the Predictive Accuracy of a Classifier." In Principles of Data Mining. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4884-5_7.

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Todorovski, Ljupčo, Peter Flach, and Nada Lavrač. "Predictive Performance of Weighted Relative Accuracy." In Principles of Data Mining and Knowledge Discovery. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45372-5_25.

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Pammi, Mohan, and Yemisi Takwoingi. "Systematic Reviews of Diagnostic Test Accuracy." In Principles and Practice of Systematic Reviews and Meta-Analysis. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71921-0_15.

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Jones, Alan R. "Primary and Secondary Drivers; Accuracy and precision." In Principles, Process and Practice of Professional Number Juggling. Routledge, 2018. http://dx.doi.org/10.4324/9781315160054-4.

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Drenth, Jan. "Checking for Gross Errors and Estimating the Accuracy of the Structural Model." In Principles of Protein X-ray Crystallography. Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4757-2335-9_15.

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Drenth, Jan. "Checking for Gross Errors and Estimating the Accuracy of the Structural Model." In Principles of Protein X-ray Crystallography. Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4757-3092-0_15.

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Moons, Bert, and Marian Verhelst. "DVAFS—Dynamic-Voltage-Accuracy-Frequency-Scaling Applied to Scalable Convolutional Neural Network Acceleration." In System-Scenario-based Design Principles and Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-20343-6_5.

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Vartiainen, Turo, and Tanja Säily. "Engaging with bad (meta)data in historical corpus linguistics." In Studies in Corpus Linguistics. John Benjamins Publishing Company, 2024. http://dx.doi.org/10.1075/scl.118.02var.

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In this chapter, we discuss some common pitfalls related to historical data and its use in linguistic analysis. We argue that the “philologist’s dilemma”, as originally proposed by Rissanen (1989), should be reconceptualized to meet the needs of the fast-evolving field of corpus linguistics, where scholars make increasing use of big-data resources and sophisticated statistical modelling. By providing examples of errors and uncertainties related to, for example, corpus metadata, sampling, balance, and OCR accuracy, we argue that corpus linguists should pay increasingly close attention to the sa
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Conference papers on the topic "Principles of accuracy"

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Zapata-Boada, Santiago, Francisco Heredia, and Klever Mera. "Predicting Corrosion Rate in Oil Wells Using First Principles and Machine Learning." In LatinCORR 2023. AMPP, 2023. https://doi.org/10.5006/lac23-20530.

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Corrosion in oil wells results from the complex interaction between various factors such as chemical composition, temperature, pressure, and flow rates of the fluids involved, and poses a significant challenge to the oil and gas industry. Accurate prediction of corrosion rates is essential for operational efficiency, proactive maintenance, and risk mitigation. Traditional methods for corrosion rate prediction rely on empirical models, which are often reactive and inaccurate. Machine learning models can provide a more accurate prediction of corrosion rate1, 2. The objective of this study is to
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Guo, Fengjiao. "Technical principles and accuracy evaluation of UAV remote sensing technology and deep learning algorithms in land survey and detection." In 2025 3rd Cognitive Models and Artificial Intelligence Conference (AICCONF). IEEE, 2025. https://doi.org/10.1109/aicconf64766.2025.11064201.

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Morris, Matthew, David J. Tena Cucala, Bernardo Cuenca Grau, and Ian Horrocks. "Relational Graph Convolutional Networks Do Not Learn Sound Rules." In 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/kr.2024/84.

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Graph neural networks (GNNs) are frequently used to predict missing facts in knowledge graphs (KGs). Motivated by the lack of explainability for the outputs of these models, recent work has aimed to explain their predictions using Datalog, a widely used logic-based formalism. However, such work has been restricted to certain subclasses of GNNs. In this paper, we consider one of the most popular GNN architectures for KGs, R-GCN, and we provide two methods to extract rules that explain its predictions and are sound, in the sense that each fact derived by the rules is also predicted by the GNN, f
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Feydo, Mark, Bruce Pellegrino, and Steve Strachan. "Non-intrusive Ultrasonic Corrosion-rate Measurement in Lieu of Manual and Intrusive Methods." In CORROSION 2017. NACE International, 2017. https://doi.org/10.5006/c2017-08926.

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Abstract Technologically advanced, fully-digital ultrasonic wall-thickness measurement systems coupled with Internet of Things (IoT) back-haul data communication schemes, including cellular, are enabling transportable, accurate and cost-effective corrosion-monitoring systems that can compete with older and more traditional methods. Comparisons show improved data accuracy of permanently-installed sensors in lieu of larger quantities of manually-taken spot data. This paper will include the design principles used in the creation of this next-generation platform.
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Pluska, Alexander, Pascal Welke, Thomas Gärtner, and Sagar Malhotra. "Logical Distillation of Graph Neural Networks." In 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/kr.2024/86.

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We present a logic based interpretable model for learning on graphs and an algorithm to distill this model from a Graph Neural Network (GNN). Recent results have shown connections between the expressivity of GNNs and the two-variable fragment of first-order logic with counting quantifiers (C2). We introduce a decision-tree based model which leverages an extension of C2 to distill interpretable logical classifiers from GNNs. We test our approach on multiple GNN architectures. The distilled models are interpretable, succinct, and attain similar accuracy to the underlying GNN. Furthermore, when t
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Barshinger, James, Sean Lynch, and Michael Nugent. "Deployment of Cellular-Based Ultrasonic Corrosion Measurement System for Refining & Petro-Chemical Plant Applications." In CORROSION 2017. NACE International, 2017. https://doi.org/10.5006/c2017-08925.

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Abstract Recent technological advances in precision, fully-digital ultrasonic wall-thickness measurement systems coupled with cellular data back-haul are enabling very accurate, easily deployable, and more cost-effective corrosion monitoring systems that can compete with more traditional manual nondestructive testing (NDT) methods. Some comparisons with improved data accuracy of installed sensors in lieu of larger quantities of manual spot data are presented. This paper will include the design principles used in the creation of this next-generation platform, end-user input used to refine the d
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Xiang, Zhiliang, Meghyn Bienvenu, Gianluca Cima, Víctor Gutiérrez Basulto, and Yazmín Ibáñez García. "ASPEN: ASP-Based System for Collective Entity Resolution." In 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/kr.2024/74.

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In this paper, we present ASPEN, an answer set programming (ASP) implementation of a recently proposed declarative framework for collective entity resolution (ER). While an ASP encoding had been previously suggested, several practical issues had been neglected, most notably, the question of how to efficiently compute the (externally defined) similarity facts that are used in rule bodies. This leads us to propose new variants of the encodings (including Datalog approximations) and show how to employ different functionalities of ASP solvers to compute (maximal) solutions, and (approximations of)
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Lysogorski, Diane K., William H. Hartt, and Palaniswamy Ananthakrishnan. "A Modified Potential Attenuation Equation for Cathodically Polarized Marine Pipelines and Risers." In CORROSION 2003. NACE International, 2003. https://doi.org/10.5006/c2003-03077.

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Abstract A previously developed first principles based equation for potential attenuation along marine pipelines and risers with multiple, equally spaced, identical galvanic anodes was modified to accommodate an error in its derivation. Both the original and modified equations account for the electrolyte (anode), coating, polarization, and metallic path resistances and, as such, represent improvements over previously available representations. Coordinate Mapping Based Finite Difference Method (CoMB-FDM) solutions are presented for different pipe and cathodic protection conditions; and to the e
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Si-Yu, Chen, Zhao Qi-Jun, Zhu Zheng, and Ma Yi-Yang. "A Permeable Self-adaptive Integration Surface for HSI Noise Prediction of Helicopter Rotor in Forward Flight." In Vertical Flight Society 73rd Annual Forum & Technology Display. The Vertical Flight Society, 2017. http://dx.doi.org/10.4050/f-0073-2017-12285.

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In this paper, a new permeable self-adaptive integration surface is developed for the prediction of rotor HSI noise by KFWH method in forward flight. Firstly, the nonlinear near flowfield solution is computed by a N-S solver and as input for acoustic calculations by KFWH formula. Then, the acoustic pressure predictions of the AH-1 model rotor with cylinder-shaped integration surfaces at different locations are shown, which reveals that the results calculated by KFWH method show a large sensitivity to the location of integration surface. In order to avoid the calculation error caused by the unc
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Jangama, Vamshi R., and Sridhar Srinivasan. "A Computer Model for Prediction of Corrosion of Carbon Steels." In CORROSION 1997. NACE International, 1997. https://doi.org/10.5006/c1997-97318.

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Abstract Developments in the area of corrosion research have led to predictive methodologies that have very specific applicability and relevance. This has led to a need for development of predictive methods and tools that can be used under a wide variety of conditions relevant to oil and gas production. A hierarchical approach has been used to combine available knowledge and data into a compact and accurate computer model that can be used as a prediction tool under different conditions. The tool is a stand-alone PC application, developed using principles of object-oriented programming and impl
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Reports on the topic "Principles of accuracy"

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Berger, Rutherford C. Foundational Principles in the Development of AdH-SW3, the Three-Dimensional Shallow Water Hydrodynamics and Transport Module within the Adaptive Hydraulics/Hydrology Model. U.S. Army Engineer Research and Development Center, 2022. http://dx.doi.org/10.21079/11681/44560.

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This report details the design and development of the three-dimensional shallow water hydrodynamics formulation within the Adaptive Hydraulics/Hydrology model (AdH-SW3) for simulation of flow and transport in rivers, estuaries, reservoirs, and other similar hydrologic environments. The report is intended to communicate principles of the model design for the interested and diligent user. The design relies upon several layers of consistency to produce a stable, accurate, and conservative model. The mesh design can handle rapid changes in bathymetry (e.g., steep-sided navigation channels in estua
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Semerikov, Serhiy, Hanna Kucherova, and Dmytro Ocheretin. Neural Network Analytics and Forecasting the Country's Business Climate in Conditions of the Coronavirus Disease (Covid-19). Stylos, 2020. http://dx.doi.org/10.31812/123456789/4133.

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The paper proposes an approach to modeling the business climate of the country, which is based on the principles of information transparency, and makes it possible to assess the development trends of the studied indicator in conditions of the COVID-19. This approach has been tested on the example of Ukraine. The results obtained make it possible to analyze the cyclical development of the country's economy with high accuracy and reliability even under quarantine restrictions.
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Rudyk, Myroslava. JOURNALISM STANDARDS AND BLOGGING: PROFESSIONAL PRINCIPLES OF WORKING WITH INFORMATION IN THE BLOGOSPHERE. Ivan Franko National University of Lviv, 2022. http://dx.doi.org/10.30970/vjo.2022.51.11398.

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The article is devoted to the study of journalistic standards in the blogosphere, i.e. the extent to which bloggers adhere to professional principles in their work with information. The popularity of the blogosphere has spread not only to journalists but also to influential people, as well as amateur bloggers, who have created their own platforms to distribute useful or entertaining content. However, not all bloggers work on a professional basis, which creates many opportunities to spread misinformation and manipulate consciousness. Standard approaches to working with information, which have h
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Shapovalov, Viktor B., Yevhenii B. Shapovalov, Zhanna I. Bilyk, Anna P. Megalinska, and Ivan O. Muzyka. The Google Lens analyzing quality: an analysis of the possibility to use in the educational process. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3754.

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Biology is a fairly complicated initial subject because it involves knowledge of biodiversity. Google Lens is a unique, mobile software that allows you to recognition species and genus of the plant student looking for. The article devoted to the analysis of the efficiency of the functioning of the Google Lens related to botanical objects. In order to perform the analysis, botanical objects were classified by type of the plant (grass, tree, bush) and by part of the plant (stem, flower, fruit) which is represented on the analyzed photo. It was shown that Google Lens correctly identified plant sp
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Ferdaus, Md Meftahul, Mahdi Abdelguerfi, Elias Ioup, et al. KANICE : Kolmogorov-Arnold networks with interactive convolutional elements. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49791.

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We introduce KANICE, a novel neural architecture that combines Convolutional Neural Networks (CNNs) with Kolmogorov-Arnold Network (KAN) principles. KANICE integrates Interactive Convolutional Blocks (ICBs) and KAN linear layers into a CNN framework. This leverages KANs’ universal approximation capabilities and ICBs’ adaptive feature learning. KANICE captures complex, non-linear data relationships while enabling dynamic, context-dependent feature extraction based on the Kolmogorov-Arnold representation theorem. We evaluated KANICE on four datasets: MNIST, Fashion-MNIST, EMNIST, and SVHN, compa
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Mosalam, Khalid, Issac Pang, and Selim Gunay. Towards Deep Learning-Based Structural Response Prediction and Ground Motion Reconstruction. Pacific Earthquake Engineering Research Center, 2025. https://doi.org/10.55461/ipos1888.

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This research presents a novel methodology that uses Temporal Convolutional Networks (TCNs), a state-of-the-art deep learning architecture, for predicting the time history of structural responses to seismic events. By leveraging accelerometer data from instrumented buildings, the proposed approach complements traditional structural analysis models, offering a computationally efficient alternative to nonlinear time history analysis. The methodology is validated across a broad spectrum of structural scenarios, including buildings with pronounced higher-mode effects and those exhibiting both line
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Bailey Bond, Robert, Pu Ren, James Fong, Hao Sun, and Jerome F. Hajjar. Physics-informed Machine Learning Framework for Seismic Fragility Analysis of Steel Structures. Northeastern University, 2024. http://dx.doi.org/10.17760/d20680141.

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The seismic assessment of structures is a critical step to increase community resilience under earthquake hazards. This research aims to develop a Physics-reinforced Machine Learning (PrML) paradigm for metamodeling of nonlinear structures under seismic hazards using artificial intelligence. Structural metamodeling, a reduced-fidelity surrogate model to a more complex structural model, enables more efficient performance-based design and analysis, optimizing structural designs and ease the computational effort for reliability fragility analysis, leading to globally efficient designs while maint
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JINGTING, ZHANG. Further development of innovative applications based on the inverse piezoelectric effect. Intellectual Archive, 2024. http://dx.doi.org/10.32370/iaj.3051.

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As practice has shown, piezoelectric motors based on the principles of the inverse piezoelectric effect can become the basis for the latest automation systems and precision mechanics, as well as innovative lighting technology; The main interest of developers of our company is the possibility of building on the basis of the inverse piezoelectric effect of systems and configurations related to the systems of precision and small-sized stepper motors As the requirements for accuracy and weight reduction of such engines become stricter, including by reducing overall dimensions, more and more varian
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Alexander, Serena E., Shams Tanvir, Syed Tanvir Ahmed, and Annie Jones. Consistent VMT Mapping and Modeling in California: How Can We Better Assess the VMT Impacts of State and Local Transportation Projects? Mineta Transportation Institute, 2024. https://doi.org/10.31979/mti.2024.2314.

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Despite California’s ambitious target to achieve carbon neutrality by 2045, the state is not reducing greenhouse gas (GHG) emissions from personal vehicle travel, and per capita Vehicle Miles Traveled (VMT) and GHG emissions continue to increase. One central challenge of climate planning facing California is the lack of consistent methods to measure the VMT impacts of transportation projects. Using both qualitative and quantitative data, this research answers the question: “What are the advantages and limitations of existing VMT calculators to determine the climate impacts of transportation pr
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Schnitzlein, Daniel. Principles of Data Visualization. Instats Inc., 2024. http://dx.doi.org/10.61700/hltlj4cwyot2c1624.

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This seminar provides an essential introduction to the principles of data visualization for academic researchers and professionals. It focuses on understanding how to effectively communicate quantitative information through visual means, with an emphasis on audience-centric design. Attendees will learn how to select appropriate chart types, declutter visualizations, and enhance clarity, all without relying on a specific software tool. This course is designed to improve data storytelling and ensure that visual presentations of data are both accurate and compelling.
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