Relevant bibliographies by topics / Expert System Shell

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

Academic literature on the topic 'Expert System Shell'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Expert System Shell"

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Ostrowsky, Marianne F., and Ruth C. Swezey. "An expert system shell: Expert system environment/VM." ISA Transactions 28, no. 1 (January 1989): 9–14. http://dx.doi.org/10.1016/0019-0578(89)90049-9.

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Yang, Jie, Chenzhou Ye, and Xiaoli Zhang. "An Expert System Shell for Fault Diagnosis." Robotica 19, no. 6 (September 2001): 669–74. http://dx.doi.org/10.1017/s0263574701003460.

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Traditional expert systems for fault diagnosis have a bottleneck in knowledge acquisition, and have limitations in knowledge representation and reasoning. A new expert system shell for fault diagnosis is presented in this paper to develop multiple knowledge models (object model, rules, neural network, case-base and diagnose models) hierarchically based on multiple knowledge. The structure of the expert system shell and the knowledge representation of multiple models are described. Diagnostic algorithms are presented for automatic modeling and hierarchical reasoning. It will be shown that the expert system shell is very effective in building diagnostic expert systems.
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Eugene Carter, E. "Creating a shell-based expert system." Computers & Operations Research 13, no. 2-3 (January 1986): 325–27. http://dx.doi.org/10.1016/0305-0548(86)90016-x.

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Koov, Merike, and Hannes Perkmann. "ExpertPriz — an integrated expert system shell." Knowledge-Based Systems 4, no. 1 (March 1991): 27–34. http://dx.doi.org/10.1016/0950-7051(91)90043-2.

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Merino Cisneros, Francisco Leopoldo. "Sistema experto para diagnóstico de plagas insectiles de maíz (Zea mays L.) en Centro América." Agronomía Mesoamericana 2 (June 22, 2016): 80. http://dx.doi.org/10.15517/am.v2i0.25232.

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An expert system was developed to diagnose maize insect pests in Central America. This system was established ta improve diagnostic procedures for insect pests and to facilitate the use of integrated pest management systems in maize. This work was based on acquired knowledge by experts in integrated pest management based at the Centro Agronómico Tropical de Investigación y Enseñanza (CATIE). A shell expert system specific for diagnostics was used. This expert system is capable of diagnosing 52 maize insects usingsix inference modules. Criterion used were: plant phenology, damaged organ ofthe plant, general form of the insect, specific form of the insect, general damage, specific damage, and order and family of the insecto In addition, this systemcan provide information on insectsynonyms, common names, life cycle, damage, pest location, and possible control. The system works with IBM compatible MS-DOS, employs the VP-EXPERT shell, requires 512Kb of RAM, and either two 360 Kb or one 720Kb disk drives, or a hard disk. An evaluation ofthe ease of use of the shell dedicated to diagnostics for insect pests was performed. The purpose was to compare the educationallevel of the user with the ease which the shell was used. A completely randomized design was employed with seven treatments and five observations. The treatments were: secretaries, laboratory support staff, extension agents, bachelor level personnel, M.S., and PhD. level persons. Tbe results indicated that no significant differences within the range evaluated, excluding facility of use. It was concluded that the shell presents operationalilty that can be used by various persons at different education le veis within the studied rangc. expert system was also compared with a book key (‘Las plagas invertebradas de cultivos anuales alimenticios en America Central’). A randomized complete block design was used with two treatments and 18 replications, each replication being one persono The results dcmonstrated that the expert system was superior to the book key and that the expcrt system required much less time to obtain an answer.
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Choi, King F. "4885705 Expert system shell for building photofinishing diagnostic systems." Expert Systems with Applications 1, no. 3 (January 1990): VI. http://dx.doi.org/10.1016/0957-4174(90)90017-o.

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Schneider, Victor. "A pedagogic expert system shell in Prolog." ACM SIGPLAN Notices 23, no. 6 (June 1988): 35–38. http://dx.doi.org/10.1145/44546.44548.

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Rodder, W., E. Reucher, and F. Kulmann. "Features of the Expert-System-Shell SPIRIT." Logic Journal of IGPL 14, no. 3 (September 6, 2006): 483–500. http://dx.doi.org/10.1093/jigpal/jzl020.

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Schumacher, T. "The Java-Medical Diagnostics Expert System Shell." Transfusion Medicine and Hemotherapy 28, no. 5 (2001): 292–96. http://dx.doi.org/10.1159/000053556.

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Prasad, B. E., T. S. Perraju, G. Uma, and P. Umarani. "An expert system shell for aerospace applications." IEEE Expert 9, no. 4 (August 1994): 56–64. http://dx.doi.org/10.1109/64.336148.

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Dissertations / Theses on the topic "Expert System Shell"

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Sachdev, Sharad. "Temporal expert system shell." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ33826.pdf.

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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 .
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St, Jacques Robert J. "XESS : the XML expert system shell /." Online version of thesis, 2008. http://hdl.handle.net/1850/7518.

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Salim, Juliani Susanti. "An expert system shell for processing logic grammars." Thesis, University of British Columbia, 1985. http://hdl.handle.net/2429/24912.

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Many expert systems have been developed over the past decades. ProGrammar is a modest expert system shell that has been developed recently. It is built on top of the CProlog/UNIX* system running on a VAX† 11/750. ProGrammar is designed for processing and developing grammars. It can also be used as a knowledge base constructor for other fields besides grammars, a learning tool, a Prolog interpreter, and as a consulting system. ProGrammar is an interactive system meaning not only can the user query ProGrammar but ProGrammar also can question the user. The user is allowed to request an explanation from the ProGrammar on how the solution to the query was derived.
Science, Faculty of
Computer Science, Department of
Graduate
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Kollu, Kavya. "PROTOTYPE OF AN INTELLIGENT TUTORING SYSTEM USING THE JAVA EXPERT SYSTEM SHELL." Master's thesis, Temple University Libraries, 2011. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/118314.

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Electrical Engineering
M.S.E.
In a technology driven world, efforts are being made to make education/learning available to individuals at any time with no compromise in the quality of teaching/training. To make learning flexible, different techniques such as distributing learning material, uploading audio lectures on the web, and creating intelligent tutoring systems (ITS) are being used. The technique considered here is an adaptive ITS, a system that replicates the learning that occurs in a student teacher relationship. This thesis develops an adaptive intelligent tutoring system architecture prototype where the addition, modification and removal of educational material are relatively easy. The resulting software will take into account: the goals of the specific educational experience, the concepts to be covered, the preferred learning style of the student, measures to detect misuse of the system functionality, behavior based on the student's performance and the generation of hint sequences and feedback messages to improve learning gain. The system will accomplish these objectives by assessing the student's prior knowledge level, observing the actions performed by the student and by adapting to his/her learning abilities. The ITS will attempt to be more intelligent by performing some actions traditionally done by a human teacher - such as diagnosing misconceptions, identifying the most suitable learning style, stressing concepts that the student is finding difficult to understand, switching back to the learning material if the student shows no improvement after a set of trials. The system makes sure that the student is getting feedback where appropriate. Using this prototype system, the student will be tutored to acquire declarative knowledge. A problem based learning (PBL) approach will be used to strengthen the acquired knowledge by providing a high degree of personal attention to the student. To show how the prototype system works, an example of analysis of a control system problem using bode plot technique will be used to assist the student in using the technique to perform the stability analysis of an analog, linear, time-invariant control system problems and to recommend a controller to attain stability (if the system is not stable). Ideas of porting the system from standalone to web-based architecture and features required for collaborative learning will be discussed and an architecture for a web-based tutoring system for supporting multiple students enabling communication between students and sharing data among them will be proposed.
Temple University--Theses
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Mahmoud, Shaiba Hussan Ibrahim. "A hybrid expert system shell for woven fabric engineering design." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.499844.

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Huang, Yueh-Min 1960. "Building an expert system shell for design model synthesis in logic programming." Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/276597.

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This thesis implemented a prototype of an expert system shell for support of engineering design activities in the way of logic programming. The development of the system is based on the theoretical framework for knowledge-based system design and the formal modeling concepts. Under the above methodologies, two knowledge representations, production rule system and system entity structure, are incorporated into the knowledge base for figuring design structures. Here the production system scheme is employed for synthesis of design models represented in the system entity structure. The whole system is coded in Turbo Prolog and a specific domain knowledge, namely a local area network, is currently used as a testbed environment.
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Swaan, Arons Henk de. "Delfi design, development and applicability of expert system shells /." Delft : Delft University Press, 1991. http://books.google.com/books?id=2NZQAAAAMAAJ.

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Thesis (doctoral)--Technische Universiteit Delft, 1991.
Summary and vita in Dutch and English; "stellingen" in Dutch. "Stellingen" inserted. Includes bibliographical references (p. 227-252) and index.
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Jacobson, Guy. "The development of an expert system shell with a mixed knowledge representation, explicit control of reasoning and a truth maintenance system." Master's thesis, University of Cape Town, 1988. http://hdl.handle.net/11427/15897.

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Bibliography: pages 227-236.
This thesis concentrates on several important issues in expert system research, namely - representation of knowledge - control of reasoning - implementation of non-monotonic logics via truth maintenance systems. There are three parts to this thesis. PART1 covers the background research in the above mentioned topics. PART2 discusses the WISE system and the way in which research from PART1 was applied to the development of the WISE shell. PART3 considers the features of other expert system shells.
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Shesham, Sriharsha. "Integrating Expert System and Geographic Information System for Spatial Decision Making." TopSCHOLAR®, 2012. http://digitalcommons.wku.edu/theses/1216.

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Spatial decision making is a process of providing an effective solution for a problem that encompasses semi-structured spatial data. It is a challenging task which involves various factors to consider. For example, in order to build a new industry, an appropriate site must be selected for which several factors have to be taken into consideration. Some of the factors, which can affect the decision in this particular case, are air pollution, noise pollution, and distance from living areas, which makes the decision difficult. The geographic information systems (GIS) and the expert systems (ES) have many advantages in solving problems in their prospective areas. Integrating these two systems will benefit in solving spatial decision making problems. In the past, many researchers have proposed integrating systems which extracts the data from the GIS and saves it in the database for decision making. Most of the frameworks which have been developed were system dependent and are not properly structured. So it is difficult to search the data. This thesis proposes a framework which extracts the GIS data and processes it with the help of ES decision making capabilities to solve the spatial decision making problem. This framework is named GeoFilter. This research classifies various types of mechanisms that can be used to integrate these two systems.
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Books on the topic "Expert System Shell"

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Mockler, R. J. Developing knowledge-based systems using an expert system shell. New York: Macmillan Pub. Co., 1992.

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Chan, Ann Shuk Kwan. Evaluating expert system shell for accounting applications. [s.l: The Author], 1991.

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Uprichard, Jim. Development of a rule-based expert system shell. [s.l: The Author], 1990.

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Mockler, Robert J. Developing knowledge-based systems using an expert systems shell. New York: Macmillan Pub. Co., 1992.

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Valley, Karen. Designing an expert system shell for use in education. (Edinburgh): Dept. of Artificial Intelligence, Universityof Edinburgh, 1988.

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Steve, Parker. Shell scripting: Expert recipes for Linux, Bash, and more. Indianapolis, Indiana: John Wiley & Sons, 2011.

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Andrew, Parkin. Addition of probabilistic inferencing to an expert system shell based on decision tables. Leicester: Leicester Polytechnic, Centre for Applied Research in Information Systems, School of Mathematics, Computing and Statistics, 1985.

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Ron, Peters, ed. Expert Shell Scripting. Berkeley, CA: Apress, 2008.

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Shortt, Aidan M. An investigation into expert system shells. (s.l: The Author), 1986.

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Mowforth, P. Some applications with inductive expert system shells. Glasgow: Turing Institute, 1986.

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Book chapters on the topic "Expert System Shell"

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Weik, Martin H. "expert system shell." In Computer Science and Communications Dictionary, 552. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_6581.

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Tano, Shun’ichi. "Fuzzy Expert System Shell." In Applied Research in Fuzzy Technology, 371–400. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2770-1_9.

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Ecke-Schüth, Johannes. "KESS: A hybrid expert system shell." In Hector Heterogeneous Computers Together A Joint Project of IBM and the University of Karlsruhe, 396–412. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73574-5_24.

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Vokroj, P. "Expert Like System for Cylindrical Shell Support." In Contact Loading and Local Effects in Thin-walled Plated and Shell Structures, 70–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-662-02822-3_9.

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Luo, Zhiyuan, and Alex Gammerman. "PRESS—A probabilistic reasoning expert system shell." In Lecture Notes in Computer Science, 232–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/3-540-54659-6_94.

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Vraneš, Sanja. "Expert System Shell Flexibility: Best Case Study." In Engineering Systems with Intelligence, 33–41. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-2560-4_3.

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Lucas, P. J. F., and H. de Swaan Arons. "Extensions to the Expert System Shell DELFI-2." In Expert Systems and Artificial Intelligence in Decision Support Systems, 213–25. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3805-2_12.

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Gazdik, Igor. "RELSHELL: An Expert System Shell for Fault Diagnosis." In System Fault Diagnostics, Reliability and Related Knowledge-Based Approaches, 81–103. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3931-8_9.

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Widmer, Gerhard, and Werner Horn. "VIE-PCX — Ein Expert System Shell für den PC." In Österreichische Artificial Intelligence-Tagung, 34–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-46552-9_5.

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Przystałka, Piotr, Wojciech Moczulski, Anna Timofiejczuk, Mateusz Kalisch, and Marek Sikora. "Development of Expert System Shell for Coal Mining Industry." In Applied Condition Monitoring, 335–48. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20463-5_25.

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Conference papers on the topic "Expert System Shell"

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Cheng, Stephen C., John Comella, and Phaih-Lan Law. "Expert's Toolkit: An Expert System Shell For Building Diagnostic Systems." In SPIE 1989 Technical Symposium on Aerospace Sensing, edited by Mohan M. Trivedi. SPIE, 1989. http://dx.doi.org/10.1117/12.969268.

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Turksen, I. B., Tanju Yurtsever, and K. Demirli. "Fuzzy expert system shell for scheduling." In Optical Tools for Manufacturing and Advanced Automation, edited by Bruno Bosacchi and James C. Bezdek. SPIE, 1993. http://dx.doi.org/10.1117/12.165037.

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Chu, Wei-Han. "Generic expert system shell for diagnostic reasoning." In the first international conference. New York, New York, USA: ACM Press, 1988. http://dx.doi.org/10.1145/51909.51910.

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Islam, S. N. "ShellAg: Expert System Shell for Agricultural Crops." In 2013 International Conference on Cloud & Ubiquitous Computing & Emerging Technologies (CUBE). IEEE, 2013. http://dx.doi.org/10.1109/cube.2013.24.

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Hao, Bo, Dewei Dong, and Huijing Zhao. "Expert System Shell Based on Forward Deduction Algorithm." In 2009 International Workshop on Intelligent Systems and Applications. IEEE, 2009. http://dx.doi.org/10.1109/iwisa.2009.5072859.

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Khorasani, Elham S., Shahram Rahimi, Purvag Patel, and Daniel Houle. "CWJess: An expert system shell for computing with words." In 2011 IEEE International Conference on Information Reuse & Integration (IRI 2011). IEEE, 2011. http://dx.doi.org/10.1109/iri.2011.6009580.

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Heping Li. "An expert system shell for transmission network alarm processing." In Fourth International Conference on Power System Control and Management. IEE, 1996. http://dx.doi.org/10.1049/cp:19960253.

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Mayadevi, N., S. S. Vinodchandra, and S. Ushakumari. "Failure forecast engine for power plant expert system shell." In 2012 IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT). IEEE, 2012. http://dx.doi.org/10.1109/icaccct.2012.6320807.

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Mathkour, Hassan, Israa Al-Turaiki, and Ameur Touir. "The Development of an Arabized Fuzzy Expert System Shell." In 2009 International Conference on Information Management and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/icime.2009.100.

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Riedesel, J. D. "An object oriented model for expert system shell design." In Ninth Annual International Phoenix Conference on Computers and Communications. 1990 Conference Proceedings. IEEE, 1990. http://dx.doi.org/10.1109/pccc.1990.101688.

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Reports on the topic "Expert System Shell"

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Friedman-Hill, E. J. Jess, the Java expert system shell. Office of Scientific and Technical Information (OSTI), November 1997. http://dx.doi.org/10.2172/565603.

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Osella, Stephen A. Expert Control System Shell, version 1.0:. Gaithersburg, MD: National Institute of Standards and Technology, 1995. http://dx.doi.org/10.6028/nist.ir.5601.

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Pan, Juiyao, Guilherme N. DeSouza, and Avinash C. Kak. FuzzyShell: A Large-Scale Expert System Shell Using Fuzzy Logic for Uncertainty Reasoning. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada335107.

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Kaetzel, L. J., J. R. Clifton, and D. P. Bentz. Integrating knowledge for the identification of cracks in concrete using an expert system shell and extensions. Gaithersburg, MD: National Institute of Standards and Technology, 1989. http://dx.doi.org/10.6028/nist.ir.89-4206.

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Shaw, Frederick J., and Robert A. Fifer. An Evaluation of Five PC-Based Expert System Shells. Fort Belvoir, VA: Defense Technical Information Center, March 1988. http://dx.doi.org/10.21236/ada197915.

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Bruder, Brittany L., Katherine L. Brodie, Tyler J. Hesser, Nicholas J. Spore, Matthew W. Farthing, and Alexander D. Renaud. guiBath y : A Graphical User Interface to Estimate Nearshore Bathymetry from Hovering Unmanned Aerial System Imagery. Engineer Research and Development Center (U.S.), February 2021. http://dx.doi.org/10.21079/11681/39700.

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This US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, technical report details guiBathy, a graphical user interface to estimate nearshore bathymetry from imagery collected via a hovering Unmanned Aerial System (UAS). guiBathy provides an end-to-end solution for non-subject-matter-experts to utilize commercia-off-the-shelf UAS to collect quantitative imagery of the nearshore by packaging robust photogrammetric and signal-processing algorithms into an easy-to-use software interface. This report begins by providing brief background on coastal imaging and the photogrammetry and bathymetric inversion algorithms guiBathy utilizes, as well as UAS data collection requirements. The report then describes guiBathy software specifications, features, and workflow. Example guiBathy applications conclude the report with UAS bathymetry measurements taken during the 2020 Atlantic Hurricane Season, which compare favorably (root mean square error = 0.44 to 0.72 m; bias = -0.35 to -0.11 m) with in situ survey measurements. guiBathy is a standalone executable software for Windows 10 platforms and will be freely available at www.github.com/erdc.
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