Academic literature on the topic 'Expert systems (Computer science) Validation'

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Journal articles on the topic "Expert systems (Computer science) Validation"

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Harrison, Patrick R., and P. Ann Ratcliffe. "Towards standards for the validation of expert systems." Expert Systems with Applications 2, no. 4 (January 1991): 251–58. http://dx.doi.org/10.1016/0957-4174(91)90033-b.

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Chang, C. L., J. B. Combs, and R. A. Stachowitz. "A report on the Expert Systems Validation Associate (EVA)." Expert Systems with Applications 1, no. 3 (January 1990): 217–30. http://dx.doi.org/10.1016/0957-4174(90)90003-d.

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Sinabell, Irina, and Elske Ammenwerth. "Agile, Easily Applicable, and Useful eHealth Usability Evaluations: Systematic Review and Expert-Validation." Applied Clinical Informatics 13, no. 01 (January 2022): 67–79. http://dx.doi.org/10.1055/s-0041-1740919.

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Abstract Background Electronic health (eHealth) usability evaluations of rapidly developed eHealth systems are difficult to accomplish because traditional usability evaluation methods require substantial time in preparation and implementation. This illustrates the growing need for fast, flexible, and cost-effective methods to evaluate the usability of eHealth systems. To address this demand, the present study systematically identified and expert-validated rapidly deployable eHealth usability evaluation methods. Objective Identification and prioritization of eHealth usability evaluation methods suitable for agile, easily applicable, and useful eHealth usability evaluations. Methods The study design comprised a systematic iterative approach in which expert knowledge was contrasted with findings from literature. Forty-three eHealth usability evaluation methods were systematically identified and assessed regarding their ease of applicability and usefulness through semi-structured expert interviews with 10 European usability experts and systematic literature research. The most appropriate eHealth usability evaluation methods were selected stepwise based on the experts' judgements of their ease of applicability and usefulness. Results Of these 43 eHealth usability evaluation methods identified as suitable for agile, easily applicable, and useful eHealth usability evaluations, 10 were recommended by the experts based on their usefulness for rapid eHealth usability evaluations. The three most frequently recommended eHealth usability evaluation methods were Remote User Testing, Expert Review, and Rapid Iterative Test and Evaluation Method. Eleven usability evaluation methods, such as Retrospective Testing, were not recommended for use in rapid eHealth usability evaluations. Conclusion We conducted a systematic review and expert-validation to identify rapidly deployable eHealth usability evaluation methods. The comprehensive and evidence-based prioritization of eHealth usability evaluation methods supports faster usability evaluations, and so contributes to the ease-of-use of emerging eHealth systems.
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Coenen, Frans, Barry Eaglestone, and Mick Ridley. "Verification, validation, and integrity issues in expert and database systems: Two perspectives." International Journal of Intelligent Systems 16, no. 3 (2001): 425–47. http://dx.doi.org/10.1002/1098-111x(200103)16:3<425::aid-int1016>3.0.co;2-c.

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Chambers, T. L., and A. R. Parkinson. "Knowledge Representation and Conversion for Hybrid Expert Systems." Journal of Mechanical Design 120, no. 3 (September 1, 1998): 468–74. http://dx.doi.org/10.1115/1.2829175.

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Many different knowledge representations, such as rules and frames, have been proposed for use with engineering expert systems. Every knowledge representation has certain inherent strengths and weaknesses. A knowledge engineer can exploit the advantages, and avoid the pitfalls, of different common knowledge representations if the knowledge can be mapped from one representation to another as needed. This paper derives the mappings between rules, logic diagrams, decision tables and decision trees using the calculus of truth-functional logic. The mappings for frames have also been derived by Chambers and Parkinson (1995). The logical mappings between these representations are illustrated through a simple example, the limitations of the technique are discussed, and the utility of the technique for the rapid-prototyping and validation of engineering expert systems is introduced. The technique is then applied to three engineering applications, showing great improvements in the resulting knowledge base.
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Irawan, Roma, Subro Albi, Umar ., Arsil ., Anton Komaini, and Didik Rilastiyo Budi. "Improving Instrument Test Passing and Controlling based Digital Futsal Athletes: Quantitative Study." Webology 19, no. 1 (January 20, 2022): 916–26. http://dx.doi.org/10.14704/web/v19i1/web19063.

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The problem in this research is that there is notest instrument passing and control designed according to the situation and condition of futsal athletes who follow digital developments in the West Sumatran environment, especially Padang State University. The purpose of this study was to make a prototype of a test instrument passing and control digital-based futsal athletes. This research is development research with a model design adapted from Borg & Gall. The research subjects were Futsal Athletes from the Faculty of Sport Science, Padang State University, and six experts, namely two Evaluation and Measurement Test experts, one Futsal Expert, and three IT Experts. The development of the test instrument for passing and control futsal athletes was carried out by testing the futsal athletes of Sport Science Faculty, Universitas Negeri Padang, Indonesia using a small group test of 30 people and a large group test totaling 177 people on futsal athletes in the city of Padang, where the method used was the expert validity method with an assessment using a questionnaire instrument and the method test and retest to test the reliability of the tool which was analyzed using the correlational r formula. The process of developing the test instrument for passing and control futsal athletes was carried out through the first stages, namely looking for potential problems, data collection, product design, design validation, design revision, product testing, product revision, usage trial, and product revision. Then the expert validation test was carried out with a questionnaire assessment so that 90% validity was obtained in the "Very Good / Decent" category and the validation level by the large group judge was 0.996 the "very high" category and the small group judge validation level was 0.997 "very high" with a small group reliability test of 0.997 and the large group of 0.996 with both reliability categories "High", the practicality value was 91% and the effectiveness value was 88%. Thus, it can be concluded that the test instrument is passing and control digital-based futsal athletes used as a measuring tool to measure passing and control.
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GU, JIFA, and XIJIN TANG. "META-SYNTHESIS SYSTEM APPROACH TO KNOWLEDGE SCIENCE." International Journal of Information Technology & Decision Making 06, no. 03 (September 2007): 559–72. http://dx.doi.org/10.1142/s0219622007002629.

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Meta-synthesis system approach (MSA) is proposed to tackle with open complex giant systems (OCGS) problems by Chinese system scientists since the late 1980s. Its essential idea can be simplified as from confident qualitative hypothesis to vigorous quantitative validation. To apply this approach, the synthesis of human expert opinions and emergent knowing, machines' powerful computing capacity and the available knowledge and cases are specifically emphasized from the perspective of systems engineering practice. Then the MSA practice may bring new understandings, knowledge and even paradigms about messy and unknown issues, which are under exploration in knowledge science research. In this paper, MSA to knowledge science is addressed. After brief introduction of meta-synthesis approach, a working flow of MSA during problem solving process is addressed and leads to meta-synthetic view toward knowledge science, especially on knowledge creation. Next comes brief introduction to a test for demonstrating the MSA to a macroeconomic problem, which shows a new paradigm to macroeconomic problem solving, a kind of knowledge creation which is different from general macroeconomic problem solving.
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Suen, Ching Y., Peter D. Grogono, Raijan Shinghal, and François Coallier. "Verifying, validating, and measuring the performance of expert systems." Expert Systems with Applications 1, no. 2 (January 1990): 93–102. http://dx.doi.org/10.1016/0957-4174(90)90019-q.

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Chatzinikolaou, A., and C. Angeli. "Modelling for an expert system and a parameter validation method." Expert Systems 19, no. 5 (November 2002): 285–94. http://dx.doi.org/10.1111/1468-0394.00215.

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Ghosh, Pronab, Asif Karim, Syeda Tanjila Atik, Saima Afrin, and Mohd Saifuzzaman. "Expert cancer model using supervised algorithms with a LASSO selection approach." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 3 (June 1, 2021): 2631. http://dx.doi.org/10.11591/ijece.v11i3.pp2631-2639.

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One of the most critical issues of the mortality rate in the medical field in current times is breast cancer. Nowadays, a large number of men and women is facing cancer-related deaths due to the lack of early diagnosis systems and proper treatment per year. To tackle the issue, various data mining approaches have been analyzed to build an effective model that helps to identify the different stages of deadly cancers. The study successfully proposes an early cancer disease model based on five different supervised algorithms such as logistic regression (henceforth LR), decision tree (henceforth DT), random forest (henceforth RF), Support vector machine (henceforth SVM), and K-nearest neighbor (henceforth KNN). After an appropriate preprocessing of the dataset, least absolute shrinkage and selection operator (LASSO) was used for feature selection (FS) using a 10-fold cross-validation (CV) approach. Employing LASSO with 10-fold cross-validation has been a novel steps introduced in this research. Afterwards, different performance evaluation metrics were measured to show accurate predictions based on the proposed algorithms. The result indicated top accuracy was received from RF classifier, approximately 99.41% with the integration of LASSO. Finally, a comprehensive comparison was carried out on Wisconsin breast cancer (diagnostic) dataset (WBCD) together with some current works containing all features.
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Dissertations / Theses on the topic "Expert systems (Computer science) Validation"

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Jafar, Musa Jafar. "A tool for interactive verification and validation of rule-based expert systems." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184805.

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Interactive as well as Automatic Verification and Validation is valuable, especially when the size of a knowledge base grows and manual techniques are not feasible. It ensures the stability of the system and raises the confidence in its level of performance. In this dissertation I address the problem of verification and validation of rule based expert systems. It is a problem knowledge engineers have to deal with while building their expert systems to ensure the reliability, accuracy, and completeness of their knowledge bases. The objective of this research is to make it easy for expert systems developers to build the right system by proposing practical and simple methods for building verification and validation programs to insure the integrity and performance of large scale knowledge based systems.
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Tricard, Marc J. M. "An expert system for the validation and interpretation of x-ray residual stress data." Thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-10242009-020322/.

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Batarseh, Feras. "Incremental lifecycle validation of knowledge-based systems through CommonKADS." Doctoral diss., University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4844.

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This dissertation introduces a novel validation method for knowledge-based systems (KBS). Validation is an essential phase in the development lifecycle of knowledge-based systems. Validation ensures that the system is valid, reliable and that it reflects the knowledge of the expert and meets the specifications. Although many validation methods have been introduced for knowledge-based systems, there is still a need for an incremental validation method based on a lifecycle model. Lifecycle models provide a general framework for the developer and a mapping technique from the system into the validation process. They support reusability, modularity and offer guidelines for knowledge engineers to achieve high quality systems. CommonKADS is a set of models that helps to represent and analyze knowledge-based systems. It offers a de facto standard for building knowledge-based systems. Additionally, CommonKADS is a knowledge representation-independent model. It has powerful models that can represent many domains. Defining an incremental validation method based on a conceptual lifecycle model (such as CommonKADS) has a number of advantages such as reducing time and effort, ease of implementation when having a template to follow, well-structured design, and better tracking of errors when they occur. Moreover, the validation method introduced in this dissertation is based on case testing and selecting an appropriate set of test cases to validate the system. The validation method defined makes use of results of prior test cases in an incremental validation procedure. This facilitates defining a minimal set of test cases that provides complete and effective system coverage. CommonKADS doesn't define validation, verification or testing in any of its models. This research seeks to establish a direct relation between validation and lifecycle models, and introduces a validation method for KBS embedded into CommonKADS.
ID: 029810246; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (Ph.D.)--University of Central Florida, 2011.; Includes bibliographical references (p. 289-299).
Ph.D.
Doctorate
Electrical Engineering and Computer Science
Engineering and Computer Science
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Gill, Peter W. "Probing for a continual validation prototype." Link to electronic thesis, 2001. http://www.wpi.edu/Pubs/ETD/Available/etd-0826101-235008.

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Ali, Mohammad. "Micro expert." Virtual Press, 1991. http://liblink.bsu.edu/uhtbin/catkey/774767.

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The purpose of this research was to investigate different approaches to expert system design and implementation. The resulting research information was used to create a microcomputer based expert system for the university computer services. The aim of this expert system is to help users (students, faculty, and staff) with micro computer purchases. As part of the research various interviews were conducted with prospective computer purchasers and the micro computer experts. This approach was taken to ensure that the system was easy to use and that it provided all users with vital information regarding the purchase of a computer system. Micro Expert was developed on IBM architecture using a commercially available expert system shell and 'C' programming language.The beta testing stage of the system was used to conduct more interviews and questionnaires with the microcomputer experts. This process was used to ensure that the product covered the most common questions of the users and provided adequate help and information on purchases.
Department of Computer Science
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Scott, Lawrence Gill. "Explanations in hybrid expert systems." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/28741.

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This thesis addresses the problem of providing explanations for expert systems implemented in a shell that supports a hybrid knowledge representation architecture. Hybrid representations combine rules and frames and are the predominant architecture in intermediate and high-end commercial expert system shells. The main point of the thesis is that frames can be endowed with explanation capabilities on a par with rules. The point is illustrated by a partial specification for an expert system shell and sample explanations which could be generated by an expert system coded to that specification. As background information, the thesis introduces expert systems and the standard knowledge representation schemes that support them: rule-only schemes, and hybrid schemes that combine rules with frames. Explanations for expert systems are introduced in the context of rules, since rules are the only representation for which explanations are supported, either in commercial tools or in the preponderance of research. The problem addressed by the thesis, how to produce explanations for hybrid architectures, is analyzed in two dimensions. Research was surveyed in three areas for guiding principles toward solving the problem: frame logic, metalevel architectures, and reflective architectures. With the few principles that were discovered in hand, the problem is then analyzed into a small number of subproblems, mainly concerning high-level architectural decisions. The solution proposed to the problem is described in two ways. First a partial specification for expert system shell functionality is offered, which describes, first, object structures and, then, behaviors at three points in time—object compilation time, execution time, and explanation generation time. The second component of the description is a set of extended examples which illustrate explanation generation in a hypothetical expert system. The solution adopts principles of reflective architectures, storing metainformation for explanations in metaobjects which are distinct from the object-level objects they explain. The most novel contribution of the solution is a scheme for relating all the ways that objects' slot values may be computed to the goal tree construct introduced by the seminal Mycin expert system. The final chapter explores potential problems with the solution and the possibility of producing better explanations for hybrid expert system shell architectures.
Science, Faculty of
Computer Science, Department of
Graduate
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Fisher, David B. "Expert systems in typography /." Online version of thesis, 1990. http://hdl.handle.net/1850/10583.

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Carden, Kenneth John. "Explanation in rule-based expert systems." Thesis, Rhodes University, 1988. http://hdl.handle.net/10962/d1002034.

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The ability of an expert system to explain its reasoning is fundamental to the system's credibility. Explanations become even more vital in systems which use methods of uncertainty propagation. The research documented here describes the development of an explanation sub-system which interfaces with the P.R.O. Expert System Toolkit. This toolkit has been used in the development of three small ecological expert systems. This project has involved adapting the results of research in the field of explanation-generation, to the requirements of the ecologist users. The subsystem contains two major components. The first lists the rules that fired during a consultation. The second component comprises routines responsible for quantifying the effects on the system conclusions of the answers given to questions. These latter routines can be used to perform sensitivity analyses on the answers given. The incorporation of such routines in small expert systems is quite unique
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Bradshaw, John. "The P.R.O. expert system shell." Thesis, Rhodes University, 1987. http://hdl.handle.net/10962/d1006302.

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This thesis reports the research which led to the development of the P.R .O. Expert System Shell. The P.R.O . System is primarily, though not exclusively , designed for use in ecological domains. In the light of two specific expert systems, The RCS (River Conservation Status) and the Aquaculture Systems, which were developed as part of this research, a number of areas of importance have been identified. The most significant of these is the need to handle uncertainty effectively. The style of knowledge representation to be implemented also plays an important role. After consulting the relevant literature and the available microcomputer expert system shells, a number of ideas have been included in the P.R.O. System. The P.R.O . System is a backward chaining, production system based expert system shell. It embodies a simple but effective method of handling uncertainty. An important feature of this method is that it takes cognizance of the different relative importances of the conditions which need to be satisfied before a conclusion can be reached. The knowledge base consists of more than rules and questions. It also contains meta-knowledge, which is used by the inference engine. The P.R.O. System has been designed to be of practical use. Its strongest recommendations are therefore, that the two non-trivial systems which have been implemented in it, have been accepted by the experts and their peers as systems which produce good, accurate answers .
KMBT_363
Adobe Acrobat 9.53 Paper Capture Plug-in
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Zoorob, Riad J. "S.E.S., a simulation expert system." Virtual Press, 1994. http://liblink.bsu.edu/uhtbin/catkey/897507.

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The continuous increase in the cost of building real life projects, the high cost of researches concerning a project and the urgent demands for the project to be delivered in a short period of time have urged researchers to find a new scheme of programming in which they would be able to simulate or emulate the real life activities and projects using a computer and a procedural language. But such a scheme of programming was lengthy, tedious and costly. Therefore, it was necessary to find a specialized simulation software that would save the programmer's time and effort on the one hand and would save the client's money on the other. A number of simulation software were developed recently which contributed greatly to the solutions of the simulation problems. However, none of these languages possessed the completeness nor the independence of the use of other tools or procedural languages to compensate for their deficiencies.In this paper I have proposed a number of new ideas aimed to improve the simulation languages in general, and have implemented a number of these ideas in a software package. Chapter one describes the simulation model and the basic concepts of simulation. Chapter two describes briefly the advantages and disadvantages of using simulation software. Also it outlines the limitations of currently used simulation packages. Finally, it suggests new ideas and expectations of a complete simulation package. Chapter three describes the simulation package prototype S. E. S. and gives some implementations. Chapter four explains the basic differences between S. E. S. and SLAM II and shows areas for further research.
Department of Computer Science
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Books on the topic "Expert systems (Computer science) Validation"

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Marc, Ayel, and Laurent Jean-Pierre, eds. Validation, verification, and test of knowledge-based systems. Chichester: Wiley, 1991.

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Validation of computerized analytical systems. Buffalo Grove, IL: Interpharm Press, 1995.

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Abraham, Kandel, ed. Verification and validation of rule-based expert systems. Boca Raton, Fla: CRC Press, 1993.

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Bahill, Terry. Verifying and validating personal computer-based expert systems. Englewood Cliffs, N.J: Prentice Hall, 1991.

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French, Scott W. Expert system verification and validation study.: Trip summaries. [Houston, Tex.]: Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1991.

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Anca, Vermesan, Coenen Frans 1957-, Norske Veritas (Organization), British Computer Society. Specialist Group on Expert Systems., and European Symposium on Verification and Validation of Knowledge Based Systems and Components (5th : 1999 : Oslo, Norway), eds. Validation and verification of knowledge based systems: Theory, tools, and practice. Boston: Kluwer Academic, 1999.

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International Business Machines Corporation. Expert System verification and validation study: Delivery 1 : survey and interview questions. [Clear Lake City, Tex.]: Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1990.

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Batarseh, Feras. Incremental lifecycle validation of knowledge-based systems through CommonKADS. Orlando, Fla: University of Central Florida, 2011.

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International Business Machines Corporation. Expert System verification and validation survey: Delivery 2 : survey results. [Clear Lake City, Tex.]: Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1990.

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Vermesan, Anca. Validation and Verification of Knowledge Based Systems: Theory, Tools and Practice. Boston, MA: Springer US, 1999.

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Book chapters on the topic "Expert systems (Computer science) Validation"

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Aguilar-Crespo, Juan A., Erik Pablo, and Xavier Alamán. "A fuzzy logic approach for sensor validation in real time expert systems." In Lecture Notes in Computer Science, 330–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-56735-6_71.

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Nowakowski, Waldemar, Piotr Bojarczak, and Zbigniew Łukasik. "Verification and Validation of Railway Control Systems Using an Expert System." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 43–50. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93710-6_5.

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Debenham, John. "Understanding expert systems maintenance." In Lecture Notes in Computer Science, 354–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/bfb0049133.

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Martins, Márcio, Francisco Godinho, Pedro Gonçalves, and Ramiro Gonçalves. "Expert Validation of the ICT Accessibility Requirements Tool Prototype." In Lecture Notes in Computer Science, 40–58. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05028-2_3.

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Tofangchi, Schahin, Andre Hanelt, and Lutz M. Kolbe. "Towards Distributed Cognitive Expert Systems." In Lecture Notes in Computer Science, 145–59. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59144-5_9.

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Joobbani, Rostam. "Knowledge-Based Expert Systems." In The Kluwer International Series in Engineering and Computer Science, 43–54. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2555-0_4.

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Márquez-Neila, Pablo, and Raphael Sznitman. "Image Data Validation for Medical Systems." In Lecture Notes in Computer Science, 329–37. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32251-9_36.

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Jiang, Liu, Zheng Qin, Zhipeng Li, Pengbo Shen, and Shaohan Hu. "An Expert Validation Framework for Improving the Quality of Crowdsourced Clustering." In Communications in Computer and Information Science, 155–67. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36802-9_18.

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Cauvet, C., C. Proix, and C. Rolland. "Information systems design: An expert system approach." In Lecture Notes in Computer Science, 113–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/3-540-19074-0_50.

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Klut, J. P., and J. H. P. Eloff. "MethoDex: A methodology for Expert Systems development." In Lecture Notes in Computer Science, 106–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-56804-2_11.

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Conference papers on the topic "Expert systems (Computer science) Validation"

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Mason, Robert. "Interoperability Gap Challenges for Learning Object Repositories & Learning Management Systems." In InSITE 2007: Informing Science + IT Education Conference. Informing Science Institute, 2007. http://dx.doi.org/10.28945/3079.

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An interoperability gap exists between Learning Management Systems (LMS) and Learning Ob ject Repositories (LOR). LORs are responsible for the storage and management of Learning Objects and the associated Learning Object Metadata (LOM). LOR(s) adhere to various LOM standards depending up the requirements established by user groups and LOR administrators. Two common LOM standards found in LORs are CanCore (Canadian LOM standard) and the Sharable Content Object Reference Model (SCORM) Content Aggregation Model (CAM). In contrast, LMSs are independent computer systems that manage and deliver course content to students via a web interface. This research addresses three important issues related to this problem domain: (a) a lack of metadata standards that define the format of how assessment data should be communicated from Learning Management Systems to Learning Object Repositories, (b) a lack of Information Engineering (IE) architectural standards for the transfer of data from Learning Management Systems to Learning Object Repositories, and (c) a lack of middleware that facilitates the movement of the assessment data from the Learning Management Systems to Learning Object Repositories. Thus, the three goals of this research are: (a) make recommendations for extending the CanCore and SCORM CAM LOM standards to facilitate the storage of assessment and summary assessment data, (b) define the foundation for an IE architectural standard based on an Access Control Policy (ACP) and Data Validation Policy (DVP) using a reliable consensus of experts with the Delphi technique, and (c) develop a middleware prototype that transfers learning assessment data from multiple Learning Management Systems into the Learning Object Metadata of Learning Objects that are stored within a CanCore or SCORM compliant Learning Object Repository.
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Dawkins, Hillary, Daniel Gillis, and Judi McCuaig. "VALIDATION OF AN EXPERT PROBLEM-SOLVING BEHAVIOUR SCALE FOR COMPUTER SCIENCE EDUCATION." In 13th annual International Conference of Education, Research and Innovation. IATED, 2020. http://dx.doi.org/10.21125/iceri.2020.1438.

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Ramanujan, Devarajan, and William Z. Bernstein. "VESPER: Visual Exploration of Similarity and Performance Metrics for Computer-Aided Design Repositories." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6527.

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VESPER (Visual Exploration of Similarity and PERformance) is a visual analytics system for exploring similarity metrics and performance metrics derived from computer-aided design (CAD) repositories. It consists of (1) a data processing module that allows analysts to input custom similarity metrics and performance metrics, (2) a visualization module that facilitates navigation of the design spaces through coordinated, interactive visualizations, and (3) a report generation module that allows analysts to export lifecycle data of selected repository items as well as the input metrics for further external validation. In this paper, we discuss the need, design rationale, and implementation details for VESPER. We then apply VESPER to (1) sustainability-focused exploration of parts, and (2) exploration of tool wear and surface roughness in machined parts.
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Krapivin, Vladimir F., Ferdenant A. Mkrtchyan, Vladimir Yu Soldatov, and Vasile M. Tovarnitchi. "An Expert Systems for the Aquatic Systems Investigation." In 2017 21st International Conference on Control Systems and Computer Science (CSCS). IEEE, 2017. http://dx.doi.org/10.1109/cscs.2017.108.

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Trovato, Stephen A., and Robert A. Touchton. "Data Filtration and Distributed Computer Architecture for Expert Systems." In ASME 1991 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/cie1991-0019.

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Abstract The timely recognition and accurate classification of emergency situations is an important task for nuclear plant operators. The Reactor Emergency Action Level Monitor (REALM) expert system was developed to provide advice to operators during emergency situations. A technique for filtering plant sensor data was developed for REALM and is broadly applicable to power plant monitoring tasks. Innovative computer architecture and verification and validation methods were developed during a research program to implement REALM at Con Edison’s Indian Point 2 nuclear plant.
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Ammar, Maan, Khuzama Ammar, Kinan Mansour, and Waad Ammar. "Expert Systems Generating Machine for Image Processing Applications." In 12th International Conference on Computer Science and Information Technology (CCSIT 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121303.

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We introduce in this paper what can be considered a new trend in expert systems field. It is generating different expert systems using the same software platform developed for this purpose, and called “Expert Systems Generating Machine for Image Processing Applications ESGMIPA”. The machine is used to generate different expert systems in completely different application fields which indicates the feasibility of the proposal. Using what we called Domain Expert Guided Heuristic Search (DEGHS) and the machine, we generated an expert system that succeeded in cases where no algorithmic approach can be applied. Generating different expert systems using the same machine depends on the well-known fact that the function of an expert system is determined mainly by its knowledge base. The machine developed expedite very much the development of the expert system to reach best performance. The role of domain expert and the positive effect of the interaction between different domain experts in different fields is highlighted.
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Muqeem, Sana, Arazi Bin Idrus, Mohd Faris Khamidi, Yap Keem Siah, and Muhammad Saqib. "Application of Fuzzy expert systems for construction labor productivity estimation." In 2012 International Conference on Computer & Information Science (ICCIS). IEEE, 2012. http://dx.doi.org/10.1109/iccisci.2012.6297298.

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Nitu, Costica, Vladimir F. Krapivin, Ferdenant A. Mkrtchyan, and Anda Sabena Dobrescu. "Expert System for the Water System Diagnostics." In 2021 23rd International Conference on Control Systems and Computer Science (CSCS). IEEE, 2021. http://dx.doi.org/10.1109/cscs52396.2021.00062.

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Markowski, Paweł, and Michał Przybyłek. "Process Mining Methods for Post-Delivery Validation." In 2017 Federated Conference on Computer Science and Information Systems. IEEE, 2017. http://dx.doi.org/10.15439/2017f372.

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Khan, Muzafar, Suziah Sulaiman, Abas M. Said, and Muhammad Tahir. "Empirical validation of usability evaluation framework for haptic systems." In 2012 International Conference on Computer & Information Science (ICCIS). IEEE, 2012. http://dx.doi.org/10.1109/iccisci.2012.6297182.

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