Relevant bibliographies by topics / Smart test selection

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Academic literature on the topic 'Smart test selection'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Smart test selection"

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Alkhazi, Bader, and Amin Alipour. "Multi-objective test selection of smart contract and blockchain applications." PeerJ Computer Science 9 (October 17, 2023): e1587. http://dx.doi.org/10.7717/peerj-cs.1587.

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The ability to create decentralized applications without the authority of a single entity has attracted numerous developers to build applications using blockchain technology. However, ensuring the correctness of such applications poses significant challenges, as it can result in financial losses or, even worse, a loss of user trust. Testing smart contracts introduces a unique set of challenges due to the additional restrictions and costs imposed by blockchain platforms during test case execution. Therefore, it remains uncertain whether testing techniques developed for traditional software can
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Shiva Krishna Kodithyala. "Smart Test Selection in CI/CD: Optimizing Pipeline Efficiency." Journal of Computer Science and Technology Studies 7, no. 4 (2025): 289–97. https://doi.org/10.32996/jcsts.2025.7.4.33.

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Smart test selection has emerged as a critical optimization strategy in continuous integration and continuous deployment (CI/CD) pipelines, transforming how organizations approach software testing and quality assurance. The integration of artificial intelligence and machine learning techniques has revolutionized test selection processes, enabling more precise identification of relevant test cases while significantly reducing execution times. Through advanced pattern recognition and behavioral analysis, modern test selection systems demonstrate remarkable capabilities in maintaining comprehensi
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Praveen, Kumar Koppanati. "Handling Flaky Tests in Java and JavaScript Using Retry Mechanisms and Smart Test Selection." European Journal of Advances in Engineering and Technology 9, no. 6 (2022): 73–78. https://doi.org/10.5281/zenodo.13912487.

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Flaky tests are tests that exhibit inconsistent results despite no changes in the codebase. They have become a significant challenge in modern software development, particularly in languages like Java and JavaScript, which are widely used in enterprise and web applications. This paper explores strategies for managing flaky tests through retry mechanisms and smart test selection approaches. We investigate common causes of flaky tests in these two environments and propose solutions that mitigate their impact on Continuous Integration/Continuous Deployment (CI/CD) pipelines. We also review existi
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Mansky, Susannah, and Elsa L. Gunter. "Safety of a Smart Classes-Used Regression Test Selection Algorithm." Electronic Notes in Theoretical Computer Science 351 (September 2020): 51–73. http://dx.doi.org/10.1016/j.entcs.2020.08.004.

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Gowda, Shreyank N., Marcus Rohrbach, and Laura Sevilla-Lara. "SMART Frame Selection for Action Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 2 (2021): 1451–59. http://dx.doi.org/10.1609/aaai.v35i2.16235.

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Video classification is computationally expensive. In this paper, we address theproblem of frame selection to reduce the computational cost of video classification.Recent work has successfully leveraged frame selection for long, untrimmed videos,where much of the content is not relevant, and easy to discard. In this work, however,we focus on the more standard short, trimmed video classification problem. Weargue that good frame selection can not only reduce the computational cost of videoclassification but also increase the accuracy by getting rid of frames that are hard toclassify. In contrast
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Chien-Hsiang Wu, Chien-Hsiang Wu, and Chin-Feng Lai Chien-Hsiang Wu. "Data-driven Diversity Antenna Selection for MIMO Communication using Machine Learning." 網際網路技術學刊 23, no. 1 (2022): 001–9. http://dx.doi.org/10.53106/160792642022012301001.

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<p>With the popularity of wireless application environments, smart antenna technology has completely changed the communication system. In order to improve the quality of wireless transmission, smart antennas have been widely used in wireless devices. Wireless signal modeling and prediction machine learning gradually replaced the traditional smart antenna selection method in the antenna selection solution. This article utilizes mobile devices to adjust the diversity antenna pattern for test verification in a MIMO wireless communication environment. The proposed method manipulates signal p
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Aldhaheri, Mohammed Abdulla Mohammed Mesfer, Bo Xia, and Madhav Nepal. "Identifying Key Selection Criteria for Smart Building Technologies in the United Arab Emirates Prisons." Buildings 12, no. 8 (2022): 1171. http://dx.doi.org/10.3390/buildings12081171.

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The selection of an appropriate smart building technology has been a challenge for stakeholders, because no specific selection criteria are currently available. This study aimed to identify the potential selection criteria for the selection of smart building technologies for prison buildings in the United Arab Emirates. A questionnaire survey was conducted to evaluate the relative importance of smart building technologies and the specific selection criteria. 238 experts from the public and the private sector with rich experience in the construction and prison industry participated in the surve
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Amer, N., and G. Nagy. "Smart Materials for Modern Facades: An AI-Powered Selection Process." IOP Conference Series: Earth and Environmental Science 1396, no. 1 (2024): 012014. http://dx.doi.org/10.1088/1755-1315/1396/1/012014.

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Abstract According to the mid-21st century’s technological advancements, artificial intelligence has gained popularity as a transformative tool due to its immense integration in the evolving field of architecture. Evidently, it is being used in the building skin design to enhance the energy efficiency and to reduce the continuously rising energy waste and consumption problem in office buildings. Despite AI’s immense advancements, it lacks sufficient data with regards to the turf of smart skin design in office building for energy optimisation. Hence, this research aims to develop a framework fo
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Setiyawan, Bayu Aji, Sri Siswanti, and Muhammad Hasbi. "Metode Analitychal Hierarchy Process Dan Simple Multi Attribute Rating Technique Sebagai Penunjang Keputusan Pemilihan Supplier." Jurnal Ilmiah SINUS 18, no. 2 (2020): 63. http://dx.doi.org/10.30646/sinus.v18i2.475.

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Process of choosing a supplier in Sukoharjo has not used the application program in making the decision but still use the manual way in writing. In addition, in conducting the selection of suppliers conducted by the HRD section is still subjective so that the results obtained in the selection of suppliers are less valid because in selecting HRD suppliers only choose based on price criteria, where If there is a supplier that offers the lowest price then the supplier will be chosen as a supplier in Sukoharjo. The purpose of the research is to build and implement a decision support system that is
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PU, CUN-LAI, and WEN-JIANG PEI. "INTEGRATING LOCAL AND GLOBAL ROUTING ON SCALE-FREE NETWORKS." International Journal of Modern Physics C 22, no. 03 (2011): 297–304. http://dx.doi.org/10.1142/s0129183111016221.

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Network navigation is one of the main problems in large communication networks. We propose a new routing strategy in which some smart nodes in networks deliver messages to next hops on the paths towards destinations according to Yan's algorithm while the other nodes just deliver messages randomly. We test our routing strategy in a large scale-free network. Simulations show that the average delivery time decreases with increase of number of smart nodes, while the maximal network capacity increases with number of smart nodes in the network. Moreover our strategy is much more efficient when emplo
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Book chapters on the topic "Smart test selection"

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Al-Refai, Mohammed, Mahmoud Hammad, Ghaith Al-Refai, and Ahmad Alzu'bi. "Regression Test Selection Approaches." In Modern Insights on Smart and Secure Software Development. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-9851-7.ch008.

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Regression testing ensures that changes in a software system do not intro- duce defects in previously tested functionality, but it is often a resource-intensive process. Regression Test Selection (RTS) techniques aim to reduce this cost by identifying a sub- set of test cases that must be executed after changes. This chapter explores the evolution and effectiveness of RTS methods, focusing on their evaluation criteria, including safety and precision. The chapter categorizes RTS approaches into model-based, code-based, information retrieval-based, fuzzy logic-based, machine learning-based, and
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Sinha, Dibakar, and Ashish Sharma. "Various Feature Selection Techniques Used for Predicting and Diagnosing Heart Disease." In Smart Healthcare for Sustainable Urban Development. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-2508-4.ch015.

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To effectively treat cardiac patients before a heart attack occurs, a precise prognosis of heart disease is necessary. Recently, machine learning-based algorithms for predicting and diagnosing heart disease have been described. However, the lack of a sophisticated framework that can use several sources of data to forecast cardiac disease means that current algorithms cannot manage large datasets. These systems use standard methods for selecting data points and assigning weights to them according to their relevance. Heart disease diagnosis has also failed to benefit from the use of these techni
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Muñoz Andrés, Soriano-Disla José M., and Janik Leslie J. "An Ontology-Based Approach for an Efficient Selection and Classification of Soils." In Ambient Intelligence and Smart Environments. IOS Press, 2017. https://doi.org/10.3233/978-1-61499-796-2-69.

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Soil libraries represent an invaluable resource in terms of research, management or planning. However, the access to such libraries and selection of soils is often tedious and time consuming thus limiting their usefulness. In this study we propose an ontology-based approach for an efficient and intuitive selection and classification of soils. For this test, a soil library of 458 soils from Australia was used. An ontology was then developed to model the fundamentals concepts and relationships found in the data. The basic capabilities of the ontology are shown to select samples with certain valu
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Garcia-Villarreal Enrique, Bhamra Ran, and Schoenheit Martin. "A Framework for Technology Selection to Support Sales and Operations Planning in German Medical Technology Organisations." In Advances in Transdisciplinary Engineering. IOS Press, 2018. https://doi.org/10.3233/978-1-61499-902-7-285.

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Original Equipment Manufacturers (OEMs) of the medical technology sector in Germany are being challenged with competition from low-wage countries developing, manufacturing, and distributing high-quality products on a global scale. Considering the importance of Sales and Operations Planning (S&OP) in these organisations, the current trend of Smart Manufacturing (Industry 4.0) in Germany, and the dearth of empirical research on both medical technology supply chains and technology-selection processes, this paper presents the outcomes of a study using action research (AR) to develop and pr
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Li, Ran. "An Empirical Approach to the Utilization of Affective Decision Tree Models in Smart Teaching." In Modern Management Based on Big Data IV. IOS Press, 2023. http://dx.doi.org/10.3233/faia230167.

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In the upcoming age of AI, smart education reshapes not only the macro modality of society and education but also the micro modality of knowledge and learning. The top priority of smart education is the timely learning disability diagnosis and feedback, the assessment and improvement of students’ mental quality, in which affective data is the crucial index. Putting in perspective the working of positive and negative affects in smart teaching, this research proposes the affective decision tree model drawing on the affective data collected from the PANAS test. Based on the C5.0 algorithm, classi
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Pais, Silvana, João Campos, Judit Lecina, and Adrián Regos. "Fire-smart management as nature-based solution to extreme wildfires in abandoned rural landscapes of Southern Europe." In Advances in Forest Fire Research 2022. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_250.

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The continuous research and development regarding firefighters’ personal protective equipment (PPE) has led to significant improvements in recent decades. The findings that contributed the most to the firefighters’ protective clothing evolution, increasing the protection, were the use of high-performance fibers, flame-retardant polymer fibers and the changes on clothing structure namely the incorporation of a multi-layer system. Despite the evolution of firefighters PPE, every year an undesirable number of firefighters are seriously burned during firefighting operations with some of them e
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Yanamadala, Pavan Kumar. "Packaging materials." In A Text Book of Pharmaceutics for I Year Diploma in Pharmacy. THINKPLUS PHARMA PUBLICATIONS, 2024. http://dx.doi.org/10.69613/rjav7f23.

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Packaging materials are crucial components in pharmaceutical products, serving multiple functions beyond mere containment. They protect drugs from environmental factors such as light, moisture, and oxygen, thereby preserving their stability and efficacy. Various materials are employed in pharmaceutical packaging, including glass, plastics, metals, and flexible laminates, each with specific properties suited to different drug formulations and dosage forms. Primary packaging, which comes into direct contact with the drug, requires careful selection to ensure compatibility and stability. Secondar
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Sayyed, Sanah Nashir, and Namrata Mahender C. "Story Summarization Using a Question-Answering Approach." In Handbook of Research on Natural Language Processing and Smart Service Systems. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4730-4.ch003.

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Summarization is the process of selecting representative data to produce a reduced version of the given data with a minimal loss of information; so, it generally works on text, images, videos, and speech data. The chapter deals with not only concepts of text summarization (types, stages, issues, and criteria) but also with applications. The two main categories of approaches generally used in text summaries (i.e., abstractive and extractive) are discussed. Abstractive techniques use linguistic methods to interpret the text; they produce understandable and semantically equivalent sentences with
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Chowdhury, Nazia Jahan Khan, and Pantho Haque. "A Scalable E-Voting System Using Blockchain and Smart Contracts." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-0462-5.ch008.

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Many people do not view elections as a serious worry for democracy, but they are one of the key events for a strong democratic system of a nation. As this study is concerned with the planning, carrying out, and evaluating the goal of the E-Voting system is to improve the scalability, transparency, and dependability of online voting procedures. The authors suggested a paradigm for electronic voting in this study, which might address these problems. The process consists of three primary stages: Development of Prototypes, Smart Contracts, and the Selection of Blockchain Platforms Application. The
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Contreras-Masse, Roberto, Juan Carlos Bonilla, Jose M. Mejia, and Alberto Ochoa. "A Comparison of Personality Prediction Classifiers for Personnel Selection in Organizations Based on Industry 4.0." In Handbook of Research on Natural Language Processing and Smart Service Systems. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4730-4.ch012.

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Nowadays, the internet has an astonishing amount of useful material for personality mining; nevertheless, many companies fail to exploit the information and screen job candidates using personality tests that fail to grasp the very information they are trying to gather. This research aims to highlight and compare the different machine learning classifiers that can be used to predict the personality of a Spanish-speaking job applicant based on the written content posted on their social networks. The authors conduct experiments considering the most critical measures (such as accuracy, precision,
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Conference papers on the topic "Smart test selection"

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Gupta, Yogesh. "Influence of Feature Selection Techniques for Social Media Data Analysis (Text and Image)." In 2025 17th International Conference on Knowledge and Smart Technology (KST). IEEE, 2025. https://doi.org/10.1109/kst65016.2025.11003327.

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Galvão, T. L. P., N. Scharnagl, I. Sousa, et al. "Nanostructured Corrosion Sensing Coatings for Aeronautical Applications." In CORROSION 2018. NACE International, 2018. https://doi.org/10.5006/c2018-11091.

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Abstract It is critical for the aeronautical industry that the next generation of smart coatings allows the early detection and continuous monitoring of corrosion. Once corrosion is detected, preventive actions can be taken in order to mitigate its costs. Our strategy relies on functional coatings capable of detecting metallic corrosion early on. After appropriate selection of sensing compounds and subsequent loading into nanostructured materials [2], these are incorporated into coating formulations giving them corrosion sensing functionality. Based on this concept we focused on the compatibil
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Ayari, Haithem, Florence Azais, Serge Bernard, et al. "Smart selection of indirect parameters for DC-based alternate RF IC testing." In 2012 IEEE 30th VLSI Test Symposium (VTS). IEEE, 2012. http://dx.doi.org/10.1109/vts.2012.6231074.

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Larson, D. B., Y. Gogenhan, H. S. Parhar, G. A. Ariza Gonzalez, D. E. Salicas, and A. Boonstra. "Smart-Pump™ Methodology for Progressing Cavity Pump Sizing." In SPE Artificial Lift Conference and Exhibition - Americas. SPE, 2024. http://dx.doi.org/10.2118/219540-ms.

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Abstract The objective of the paper is to discuss an improved process of sizing for PC pumps by introducing a new approach utilizing a smart pump sizing methodology, which aims to eliminate the trial-and-error selection step and deliver consistently sized pumps without the need for a PCP functional hydraulic pump test. The traditional PC pump sizing process involves selecting a rotor for a stator and conducting a functional hydraulic pump test in production environment using a hydraulic test bench. However, the smart pump sizing method relies on data analysis and measurements to pair the stato
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Valença, Gustavo W. M., Francisco L. F. Pereira, Felipe T. Brito, Victor A. E. de de Farias, and Javam C. Machado. "Health Levels Modeling for SSD Failure Prediction." In Simpósio Brasileiro de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2024. http://dx.doi.org/10.5753/sbbd.2024.243219.

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The increasing adoption of solid-state drives (SSDs) due to their high performance and reliability has made failure prediction crucial for ensuring data integrity and availability. Self-monitoring, Analysis, and Reporting Technology (SMART) is a system for drives that periodically reports various operational parameters that facilitate early detection of potential issues. Although many studies have used SMART attributes for approaching this matter – as a binary problem – we test new ways of predicting SSD failures, considering multiple health levels. In this paper, we first use feature selectio
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Hassanien, Sherif, Len Krissa, and Vitaly Vorontsov. "Pipeline Coating Selection Process: A Hybrid Multi-Criteria Based Approach." In 2014 10th International Pipeline Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/ipc2014-33264.

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The most critical component of external corrosion prevention on pipeline is the protective coating system. The coating selection process can be extremely challenging due to the sheer number of manufacturers and products/options that are offered — often with limited performance data available. Relying solely on manufacturer’s recommendations or information can be problematic when the anticipated service environment has not been adequately characterized, application parameters not completely understood, and/or when there is a misunderstanding of the product’s capabilities. Although there are man
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Gabbert, U., A. Görnandt, H. Köppe, and F. Seeger. "Benchmark Problems for the Analysis of Piezoelectric Controlled Smart Structures." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/vib-8391.

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Abstract In the paper at first the theoretical basis for the simulation of piezothermoelastic smart structures is discussed briefly. Then an overview about our finite element simulation tool for smart structures is given. During the development of this analysis tool several test examples have been solved and compared with theoretical results from the literature as well as experimental results. During this process of software verification and qualification we were tackled with several problems, such as incomplete and incorrect data from literature, especially missing material data, incorrect bo
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Ivić, Dejan, Marinko Simišić, Ranka Kovačević, Predrag Mršić, and Željko Ivanović. "SMART GRID KONCEPT ZASNOVAN NA AUTOMATIZACIJI SREDNJENAPONSKE MREŽE." In 36. Savetovanja CIGRE Srbija 2023 Fleksibilnost elektroenergetskog sistema. Srpski nacionalni komitet Međunarodnog saveta za velike električne mreže CIGRE Srbija, 2023. http://dx.doi.org/10.46793/cigre36.2033i.

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Modern distribution networks are facing a series of challenges in terms of improving reliability parameters, utilization of existing capacities and integration of renewable energy sources, i.e. distributed generation. Consequently, the management of the distribution network, especially at the medium voltage level, gains additional importance. This paper describes the path from the idea to the realization of the medium voltage network automation and control system. The paper presents a brief description of the Smart Grid concept applied to the test case of the 6 kV Donja Ljubija distribution ov
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Lupia, Greg, Matt Darois, and Hank Kleinfelder. "Push Probe Method for Installing Corrosion Smart Monitoring Test Stations and Collecting Soil Samples on In-Service Pipelines at Depths Up to Forty Feet at Nuclear Power Plants." In ASME 2015 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/pvp2015-45646.

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Innovative Method for Installing Pipe Depth Smart Test Stations at Exelon Nuclear Generation Stations to Quantify Corrosion Rates, Evaluate Cathodic Protection Effectiveness, Quantify Corrosion Potentials and Perform Subsurface Soils Analysis to Support Aging Management Plans and Reasonable Assurance Commitments on In-Service Buried and Underground Pipe and Tanks For several decades ANSI and NACE direct assessment (DA) standards for monitoring cathodic protection and coating quality (SP0502) have been relied upon by pipeline operators and regulators to accurately monitor the impact of corrosio
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Dulesov, A. S., D. Y. Karandeev, A. A. Konovalov, D. B. Bayyr, and N. V. Dulesova. "Probability and Information Entropy in the Analysis of Reliability of Technical Systems." In International scientific and practical conference “Smart cities and sustainable development of regions” (SMARTGREENS 2024). Crossref, 2025. https://doi.org/10.63550/iceip.2025.1.1.026.

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The paper outlines the issues of reliability analysis of complex technical systems. The justification of the need to perform reliability analysis of complex technical systems, the structure of which is a network, is given. We propose to apply for this purpose, in addition to probabilistic characteristics, information entropy calculated based on the K. Shannon model. A classical assessment of a random event in reliability analysis as a possible outcome (test result) is given. Following the theories of probability and information, the classical measures of probability and their relationship to t
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