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Relevant bibliographies by topics / Validation techniques

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Academic literature on the topic 'Validation techniques'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Validation techniques"

1

Anderson, Will. "Software Validation Techniques." Drug Information Journal 21, no. 4 (1987): 461–69. http://dx.doi.org/10.1177/009286158702100413.

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Estrade, Jean-Louis. "Validation des techniques myotensives." Kinésithérapie, la Revue 9, no. 95 (2009): 14. http://dx.doi.org/10.1016/s1779-0123(09)70051-8.

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Shah, Dhwanir, and Lokesh Kumar Sharma. "Contrastive Study of Machine Learning Techniques for Credit Card Fraud Detection." Indian Journal Of Science And Technology 18, no. 16 (2025): 1248–59. https://doi.org/10.17485/ijst/v18i16.572.

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Objective: To assess the efficacy of five machine learning algorithms—Logistic Regression, Support Vector Machine (SVM), Decision Tree, Random Forest, and XGBoost—in detecting credit card fraud, utilizing a simulated Kaggle dataset created through Sparkov for credit card transactions. Methods: The dataset was partitioned into three training-test ratios: 60%:40%, 70%:30%, and 80%:20%. To address class imbalance, the Synthetic Minority Over-sampling Technique (SMOTE) was employed. The performance of the models was measured using Accuracy, Precision, Recall, F1-score, and ROC-AUC, with validation

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Usov, A. I., G. G. Omel’yanyuk, G. I. Bebeshko, I. P. Lyubetskaya, and I. B. Afanas’ev. "Methodological Features of Validating Forensic Expert Techniques." Theory and Practice of Forensic Science 18, no. 1 (2023): 76–96. http://dx.doi.org/10.30764/1819-2785-2023-1-76-96.

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The article reviews and summarizes the experience of validating forensic expert techniques in the Russian Federal Centre of Forensic Science of the Ministry of Justice of the Russian Federation. The authors point out the methodological features of practical implementation of the validation procedure. They demonstrate that the specificity, diversity, and complexity of the objects of expert study require the classification of the applied methods in terms of metrology, identification of the main validation parameters of quantitative and qualitative methods, organization of experiments, and evalua

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Amandeep, Kaur*and Monika Gupta. "DEVELOPMENT AND VALIDATION OF METHOD BY HPLC TECHNIQUES." INDO AMERICAN JOURNAL OF PHARMACEUTICAL SCIENCES 05, no. 07 (2018): 7057–65. https://doi.org/10.5281/zenodo.1325897.

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<em>The primary focus of the review article is on general approaches and considerations toward development of chromatographic methods for separation, identification, and quantification of compounds, which may be applied within the various functions in the drug development continuum. This article also discusses the issues and parameters that must be considered in the validation of analytical methods. At the end of the review, a scope of the present research study is covered.</em> <strong>Keywords: </strong><em>Introduction, Method development, Steps for HPLC method development, Method validatio

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Kirwan, Barry. "Validation of human reliability assessment techniques: Part 1 — Validation issues." Safety Science 27, no. 1 (1997): 25–41. http://dx.doi.org/10.1016/s0925-7535(97)00049-0.

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Kirwan, Barry. "Validation of human reliability assessment techniques: Part 2 — Validation results." Safety Science 27, no. 1 (1997): 43–75. http://dx.doi.org/10.1016/s0925-7535(97)00050-7.

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Guerbai, Yasmine, Youcef Chibani, and Yassine Meraihi. "Techniques for Selecting the Optimal Parameters of One-Class Support Vector Machine Classifier for Reduced Samples." International Journal of Applied Metaheuristic Computing 13, no. 1 (2022): 1–15. http://dx.doi.org/10.4018/ijamc.290533.

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Usually, the One-Class Support Vector Machine (OC-SVM) requires a large dataset for modeling effectively the target class independently to other classes. For finding the OC-SVM model, the available dataset is subdivided into two subsets namely training and validation, which are used for training and validating the optimal parameters. This approach is effective when a large dataset is available. However, when training samples are reduced, parameters of the OC-SVM are difficult to find in absence of the validation subset. Hence, this paper proposes various techniques for selecting the optimal pa

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Worth, Andrew P., Martin D. Barratt, and J. Brian Houston. "The Validation of Computational Prediction Techniques." Alternatives to Laboratory Animals 26, no. 2 (1998): 241–47. http://dx.doi.org/10.1177/026119299802600208.

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Drechsler, R., and D. Große. "System level validation using formal techniques." IEE Proceedings - Computers and Digital Techniques 152, no. 3 (2005): 393. http://dx.doi.org/10.1049/ip-cdt:20045073.

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Dissertations / Theses on the topic "Validation techniques"

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Jonoud, Sima. "Validation of steady-state upscaling techniques." Thesis, Imperial College London, 2006. http://hdl.handle.net/10044/1/7812.

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PEDDIREDDY, SANTOSH KUMAR REDDY, and SRI RAM NIDAMANURI. "Requirements Validation Techniques : Factors Influencing them." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21152.

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Context: Requirement validation is a phase of the software development life cycle where requirements are validated to get rid of inconsistency, incompleteness. Stakeholders involved in the validation process to make requirements are suitable for the product. Requirement validation techniques are for validating the requirements. Selection of requirements validation techniques related to the factors that need to consider while validating requirements makes the validation process better. This paper is about the factors that influence the selection of requirements validation technique and analyzin

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SINI, JACOPO. "Novel Validation Techniques for Autonomous Vehicles." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2950482.

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Coleby, Dawn Elizabeth. "Assessment of techniques for electromagnetic modelling validation." Thesis, De Montfort University, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.406028.

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Shen, Jian. "Effective techniques for processor validation and test /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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DAMLJANOVIC, ALEKSA. "Effective techniques for systems validation and security." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2927468.

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Ewanchyna, Theodore J. "Techniques for specification and validation of complex protocols." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq26014.pdf.

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Kufel, Jedrzej. "Techniques and validation for protection of embedded processors." Thesis, University of Southampton, 2015. https://eprints.soton.ac.uk/381185/.

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Advances in technology scaling and miniaturization of on-chip structures have caused an increasing complexity of modern devices. Due to immense time-to-market pressures, the reusability of intellectual property (IP) sub-systems has become a necessity. With the resulting high risks involved with such a methodology, securing IP has become a major concern. Despite a number of proposed IP protection (IPP) techniques being available, securing an IP in the register transfer level (RTL) is not a trivial task, with many of the techniques presenting a number of shortfalls or design limitations. The mos

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Kolluri, Murali Mohan. "Developing a validation metric using image classification techniques." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406819893.

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Grisot, Giorgia. "Validation of dMRI techniques for mapping brain pathways." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122194.

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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., Harvard-MIT Program in Health Sciences and Technology, 2019<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 201-222).<br>Diffusion magnetic resonance imaging (dMRI) tractography is the only non-invasive tool for studying the connectional architecture of the brain in vivo. By measuring the diffusion of water molecules dMRI provides unique information about white matter pathway

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Books on the topic "Validation techniques"

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1949-, Reghbati Hassan K., ed. Tutorial--VLSI testing & validation techniques. IEEE Computer Society Press, 1985.

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Reghbati, Hassan K. VLSI: Testing and validation techniques. IEEE Computer Society Press, 1985.

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Coleby, Dawn Elizabeth. Assessment of techniques for electromagnetic modelling validation. De Montfort University, 2004.

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North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development., ed. Guidance and control systems simulation and validation techniques. AGARD, 1988.

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Rafiq, T. J. Structural validation of GRP components using ultrasonic techniques. UMIST, 1993.

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Margaria, Tiziana, and Bernhard Steffen, eds. Leveraging Applications of Formal Methods, Verification and Validation: Foundational Techniques. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47166-2.

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Chow, Chan Chung, Lam Herman, and Zhang Xue-Ming, eds. Method validation and instrument performance verification for advanced analytical techniques. Wiley, 2010.

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Colloby, Jennifer. The validation process for EYPS. Learning Matters, 2008.

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Miller, John S. Field validation of speed estimation techniques for air quality conformity analysis. Virginia Transportation Research Council, 2004.

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Klerk-Rubin, Vicki de. Validation techniques for dementia care: The family guide to improving communication. Health Professions Press, 2008.

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Book chapters on the topic "Validation techniques"

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Bohlin, Torsten. "Validation techniques." In Interactive System Identification: Prospects and Pitfalls. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-48618-0_7.

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Pohl, Klaus. "Validation Techniques." In Requirements Engineering. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12578-2_14.

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Keesman, Karel J. "Model Validation Techniques." In Advanced Textbooks in Control and Signal Processing. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-522-4_9.

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Ferguson, Russ, and Christian Heilmann. "Data Validation Techniques." In Beginning JavaScript with DOM Scripting and Ajax. Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-5093-7_9.

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McCloskey, Cindy, and S. Terence Dunn. "Test Validation." In Modern Clinical Molecular Techniques. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-2170-2_3.

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Bracht, Thilo, Dominik Andre Megger, Wael Naboulsi, Corinna Henkel, and Barbara Sitek. "Quantitative Proteomics Techniques in Biomarker Discovery." In Biomarker Validation. Wiley-VCH Verlag GmbH & Co. KGaA, 2015. http://dx.doi.org/10.1002/9783527680658.ch2.

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Chen, Mingsong, Xiaoke Qin, Heon-Mo Koo, and Prabhat Mishra. "Property Clustering and Learning Techniques." In System-Level Validation. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1359-2_5.

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Chen, Mingsong, Xiaoke Qin, Heon-Mo Koo, and Prabhat Mishra. "Decision Ordering Based Learning Techniques." In System-Level Validation. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1359-2_6.

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Resig, John, Russ Ferguson, and John Paxton. "JavaScript and Form Validation." In Pro JavaScript Techniques. Apress, 2015. http://dx.doi.org/10.1007/978-1-4302-6392-0_7.

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Mayerich, David, Yoonsuck Choe, and John Keyser. "Reconstruction, Techniques and Validation." In Encyclopedia of Computational Neuroscience. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-6675-8_288.

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Conference papers on the topic "Validation techniques"

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Battermann, S., and H. Garbe. "FAR Validation Techniques and Measurements Above 1 GHz." In 2004_EMC-Europe_Eindhoven. IEEE, 2004. https://doi.org/10.23919/emc.2004.10806102.

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Roudet, J., J. L. Schanen, and P. Saguet. "Microwave Techniques Validation in Power Electronics Interconnections Modeling." In 1996_EMC-Europe_Roma. IEEE, 1996. https://doi.org/10.23919/emc.1996.10784009.

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Krishnamoorthy, R., and S. Sreedhar Kumar. "Optimized cluster validation technique for unsupervised clustering techniques." In 2014 International Conference on Information Communication and Embedded Systems (ICICES). IEEE, 2014. http://dx.doi.org/10.1109/icices.2014.7033782.

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Whiteman, D., S. H. Melfi, T. J. McGee, R. A. Ferrare, J. J. Butler, and J. Burris. "Lidar Data Validation Techniques." In Optical Remote Sensing of the Atmosphere. Optica Publishing Group, 1990. http://dx.doi.org/10.1364/orsa.1990.wd21.

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In the past several years of operation of two NASA/GSFC lidar systems, several instrument related data anomalies have been discovered. This paper will discuss problems related to differing low altitude transmitter-receiver overlap functions for a three-channel Raman lidar system, bandwidth limitations of photon counting systems and signal induced noise on both short (tens of microseconds) and long (hundreds of microseconds) time scales. The discussion will include operational solutions to these problems that are currently in use or under investigation.

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Orduyilmaz, A., G. Kara, M. Ispir, and A. Yildirim. "Electronic attack techniques validation environment." In 2013 21st Signal Processing and Communications Applications Conference (SIU). IEEE, 2013. http://dx.doi.org/10.1109/siu.2013.6531463.

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Dwyer, Matthew B., and Sebastian Elbaum. "Unifying verification and validation techniques." In the FSE/SDP workshop. ACM Press, 2010. http://dx.doi.org/10.1145/1882362.1882382.

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Phares, Brent M., Glenn A. Washer, Mark Moore, and Benjamin A. Graybeal. "Validation of NDE methods." In Nondestructive Evaluation Techniques for Aging Infrastructures & Manufacturing, edited by Steven B. Chase. SPIE, 1999. http://dx.doi.org/10.1117/12.339916.

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Fraedrich, Doug. "Validation Techniques for Image-Based Simulations." In 35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06). IEEE, 2006. http://dx.doi.org/10.1109/aipr.2006.39.

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Marjani, Mehrsa, Moustafa El-Gindy, David Philipps, Fredrik Öijer, and Inge Johansson. "FEA Tire Modeling and Validation Techniques." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46514.

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Recent advances in power and efficiency of computerized modeling methods has made it easier to develop accurate tire models. These newer models are now created with such accuracy that it has become easy to predict the experimental tire’s behavior and characteristics. These models are helpful with determining tire, tire-road, and tire-soil interaction properties. By creating virtual models, the overall capital for research and development can be reduced as well as replacing unavailable experimental tires for research. This research paper mainly focuses on the validation of computer generated FE

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Wang, Kefei, Kamy Sepehrnoori, and John Edwin Killough. "Ultrafine-Scale Validation of Upscaling Techniques." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2005. http://dx.doi.org/10.2118/95774-ms.

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Reports on the topic "Validation techniques"

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Larson, Edward C., B. E. Parker, Poor Jr., and H. V. Multivariate Nonparametric Statistical Techniques for Simulation Model Validation. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada330896.

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Ulibarri, C. A., and K. F. Wellman. Natural resource validation: A primer on concepts and techniques. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/676922.

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Bowden, Josh M., Locke A. Karriker, Kenneth J. Stalder, and Anna K. Johnson. Scan Sampling Techniques for Behavioral Validation in Nursery Pigs. Iowa State University, 2008. http://dx.doi.org/10.31274/ans_air-180814-852.

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Cler, Daniel L. Techniques for Analysis and Validation of Unsteady Blast Wave Propagation. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada417157.

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Johnson, Anna K., and John J. McGlone. Validation of Scan Sampling Techniques for Lactating Sows Kept Outdoors. Iowa State University, 2008. http://dx.doi.org/10.31274/ans_air-180814-767.

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Holdmann, Gwen. Recovery Act Validation of Innovative Exploration Techniques Pilgrim Hot Springs, Alaska. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1182279.

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Kornfeld, Judith R. Specification and Preliminary Validation of IAT (Integrated Analysis Techniques) Methods: Executive Summary. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada162509.

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Melius, J., R. Margolis, and S. Ong. Estimating Rooftop Suitability for PV: A Review of Methods, Patents, and Validation Techniques. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1117057.

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Roach, D., and P. Walkington. Development and validation of nondestructive inspection techniques for composite doubler repairs on commercial aircraft. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/672084.

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Ruschac, Gregory, and Angel Kowalski. DTRS56-05-T-0004 Evaluation and Validation of Aboveground Techniques for Coating Condition Assessment. Pipeline Research Council International, Inc. (PRCI), 2006. http://dx.doi.org/10.55274/r0012042.

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The overall objective was to determine the accuracy, resolution, and limitations of equipment typically used for modern aboveground ECDA work with respect to locating holidays and disbondments with commonly used coatings with varying spatial relationships and geometrical configurations. The specific tasks of this program were the following: 1. Perform aboveground coating surveys on several underground pipelines using at least four (4) different survey techniques - DCVG, ACVG, PCM, Cscan, and Pearson surveys were performed. 2. Compare the results of the surveys with visual examinations of the c

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