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Journal articles on the topic 'And knowledge based System'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Farwig, H. Meier zu, and H. Unbehauen. "Knowledge-Based System Identification." IFAC Proceedings Volumes 25, no. 15 (1992): 21–29. http://dx.doi.org/10.1016/s1474-6670(17)50606-0.

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2

Morad, Ayman A., and Yvan J. Beliveau. "Knowledge‐Based Planning System." Journal of Construction Engineering and Management 117, no. 1 (1991): 1–12. http://dx.doi.org/10.1061/(asce)0733-9364(1991)117:1(1).

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3

Jones, R. M., L. Candy, and E. A. Edmonds. "Knowledge-based system requirements." Knowledge-Based Systems 6, no. 1 (1993): 31–37. http://dx.doi.org/10.1016/0950-7051(93)90007-g.

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4

Park, Roy C. "Knowledge-Based Communication System." Wireless Personal Communications 98, no. 4 (2018): 3035–38. http://dx.doi.org/10.1007/s11277-018-5269-5.

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5

Khator, Rajesh Kumar. "Expert System using Knowledge Based System." International Journal of Computer Sciences and Engineering 7, no. 6 (2019): 52–55. http://dx.doi.org/10.26438/ijcse/v7i6.5255.

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6

Premkumar, G. "Knowledge Based System and Database Management System." Journal of Database Management 2, no. 4 (1991): 12–26. http://dx.doi.org/10.4018/jdm.1991100102.

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7

Weitzel, J. R., and L. Kerschberg. "A system development methodology for knowledge-based systems." IEEE Transactions on Systems, Man, and Cybernetics 19, no. 3 (1989): 598–605. http://dx.doi.org/10.1109/21.31065.

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8

Moisan, Sabine. "Generating Knowledge-Based System Generators." International Journal of Intelligent Information Technologies 6, no. 1 (2010): 1–17. http://dx.doi.org/10.4018/jiit.2010100901.

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This article investigates software engineering techniques for designing and reengineering knowledge-based system generators, focusing on inference engines and domain specific languages. Indeed, software development of knowledge-based systems is a difficult task. We choose a software engineering approach to favor code reuse, evolution, and maintenance. We propose a software platform named Lama to design the different elements necessary to produce a knowledge-based system. This platform offers software toolkits (mainly component frameworks) to build interfaces, inference engines, and expert lang

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9

Blair, G. S. "A Knowledge-based Operating System." Computer Journal 30, no. 3 (1987): 193–200. http://dx.doi.org/10.1093/comjnl/30.3.193.

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10

SAKAGUCHI, Tetsuo, Takehisa FUJITA, Shigeo SUGIMOTO, and Koichi TABATA. "Multi-Media Knowledge-based system." Journal of Information Processing and Management 36, no. 5 (1993): 401–13. http://dx.doi.org/10.1241/johokanri.36.401.

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11

Subramanyam Rallabandi, V. P., and S. K. Sett. "Knowledge-based image retrieval system." Knowledge-Based Systems 21, no. 2 (2008): 89–100. http://dx.doi.org/10.1016/j.knosys.2007.02.002.

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12

Chung, Kyungyong, Raouf Boutaba, and Salim Hariri. "Knowledge based decision support system." Information Technology and Management 17, no. 1 (2015): 1–3. http://dx.doi.org/10.1007/s10799-015-0251-3.

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13

Shi, Zhongzhi. "Knowledge-based decision support system." Journal of Computer Science and Technology 2, no. 1 (1987): 22–29. http://dx.doi.org/10.1007/bf02943314.

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14

Halevi, Gideon, and Kesheng Wang. "Knowledge based manufacturing system (KBMS)." Journal of Intelligent Manufacturing 18, no. 4 (2007): 467–74. http://dx.doi.org/10.1007/s10845-007-0049-1.

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15

Ravisankar, H., and K. Sarala. "Knowledge-based Weather Information System." International Journal of Applied Research on Information Technology and Computing 5, no. 2 (2014): 159. http://dx.doi.org/10.5958/0975-8089.2014.00009.8.

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16

Hać, Anna. "Knowledge-based distributed system architecture." ACM SIGMETRICS Performance Evaluation Review 16, no. 2-4 (1989): 20. http://dx.doi.org/10.1145/1041911.1041913.

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17

Milačić, V. R., and M. Urošević. "SAPT—Knowledge-based CAPP system." Robotics and Computer-Integrated Manufacturing 4, no. 1-2 (1988): 69–76. http://dx.doi.org/10.1016/0736-5845(88)90061-0.

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18

DiStefano, Joseph J., Parker Waechter, Philip Abramowitz, Hsiao-Te Su, and Thuvan N. Nguyen. "Expert System-Knowledge Based Biomodeling." IFAC Proceedings Volumes 27, no. 1 (1994): 243–48. http://dx.doi.org/10.1016/s1474-6670(17)46220-3.

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19

Chow, K. P., and C. K. Hui. "Knowledge-based system for rostering." Expert Systems with Applications 6, no. 3 (1993): 361–75. http://dx.doi.org/10.1016/0957-4174(93)90061-a.

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20

Hiromichi, F. "Knowledge based information retrieval system." Expert Systems with Applications 9, no. 3 (1995): IV—V. http://dx.doi.org/10.1016/0957-4174(95)98747-7.

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21

Jeong, Yu-Keum, and Roy C. Park. "Knowledge-based System and Security." Journal of Computer Virology and Hacking Techniques 12, no. 3 (2016): 121–23. http://dx.doi.org/10.1007/s11416-016-0275-1.

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22

Qwaider, Sabreen R., and Naser Samy S. Abu. "Expert System for Diagnosing Ankle Diseases." International Journal of Engineering and Information Systems (IJEAIS) 1, no. 4 (2017): 89–101. https://doi.org/10.5281/zenodo.821176.

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<strong><em>Abstract</em></strong>: <em>In recent years, technology has evolved significantly to intervene in the treatment of diseases through diagnosis online before going to the specialist doctor, where it become possible for the patient to know the name of his illness, the specialist doctor who can treat him and the multiple treatment methods through specially designed systems called expert systems. </em> <em>The expert system is based on the principle of asking the user gradual questions about the symptoms he feels, leading him to the result of diagnosing the illness, dealing with it quic

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23

Lin, C. E., and K. L. Chen. "Automated air defense system using knowledge-based system." IEEE Transactions on Aerospace and Electronic Systems 27, no. 1 (1991): 118–24. http://dx.doi.org/10.1109/7.68154.

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24

Betta, A., and D. A. Linkens. "Intelligent knowledge-based system for dynamic system identification." IEE Proceedings D Control Theory and Applications 137, no. 1 (1990): 1. http://dx.doi.org/10.1049/ip-d.1990.0001.

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25

Kere, Hasan, Million Meshesha, Faizur Rashid, et al. "An Intelligent Knowledge Based System for Diagnosis and Treatment of Diabetes." Indian Journal Of Science And Technology 17, no. 48 (2024): 5033–45. https://doi.org/10.17485/ijst/v17i48.3412.

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Background/Objectives: Diabetes poses a significant health challenge in Ethiopia due to factors such as lifestyle choices, a lack of medical professionals, and limited laboratory resources. Knowledge-based system (KBS) are increasingly being explored to assist healthcare providers in diagnosing and managing diseases, including diabetes. Rule-based and case-based reasoning are two primary approaches to developing these knowledge-based systems. The major goal of this research is to create an intelligent KBS for diabetes diagnosis and therapy utilizing data mining approaches. Methods: This study

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26

Gale, William A. "Knowledge-based knowledge acquisition for a statistical consulting system." International Journal of Man-Machine Studies 26, no. 1 (1987): 55–64. http://dx.doi.org/10.1016/s0020-7373(87)80035-4.

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27

Boqing Feng, Boqing Feng, Xiaolei Xu Boqing Feng, Congxu Li Xiaolei Xu, Wenbin Liu Congxu Li, and Mohan Liu Wenbin Liu. "GIS-Based Electric Service Resource Management System." 電腦學刊 34, no. 3 (2023): 387–97. http://dx.doi.org/10.53106/199115992023063403029.

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<p>With the increasing investment in railway construction, China’s railway transport network is now very sound, the number of operating miles is growing, and the operating speed has also made a qualitative leap. At the same time, the safety and reliability of the operation of railway signal cables and other electrical equipment has also put forward higher requirements. At the present stage, the management of railway electrical services equipment mainly relies on manual management, which is cumbersome, inefficient and unsuitable for multi-user sharing. At the same time, the structure of r

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28

Bouraga, Sarah, Ivan Jureta, Stéphane Faulkner, and Caroline Herssens. "Knowledge-Based Recommendation Systems." International Journal of Intelligent Information Technologies 10, no. 2 (2014): 1–19. http://dx.doi.org/10.4018/ijiit.2014040101.

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Knowledge-Base Recommendation (or Recommender) Systems (KBRS) provide the user with advice about a decision to make or an action to take. KBRS rely on knowledge provided by human experts, encoded in the system and applied to input data, in order to generate recommendations. This survey overviews the main ideas characterizing a KBRS. Using a classification framework, the survey overviews KBRS components, user problems for which recommendations are given, knowledge content of the system, and the degree of automation in producing recommendations.

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29

Nikitina, M. A. "KNOWLEDGE-BASED SYSTEM OF HEALTHY FOOD." Mathematical Methods in Technologies and Technics, no. 1 (2021): 167–70. http://dx.doi.org/10.52348/2712-8873_mmtt_2021_1_167.

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30

ZHANG, Shijie. "Knowledge and XML based CAPP system." Chinese Journal of Mechanical Engineering (English Edition) 19, no. 03 (2006): 344. http://dx.doi.org/10.3901/cjme.2006.03.344.

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31

MAGHRABI, SAUD. "Matrix Verification of Knowledge-Based System." Journal of King Abdulaziz University-Science 13, no. 1 (2001): 63–82. http://dx.doi.org/10.4197/sci.13-1.5.

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32

D’Aniello, Giuseppe, Matteo Gaeta, Francesco Orciuoli, Giuseppe Sansonetti, and Francesca Sorgente. "Knowledge-Based Smart City Service System." Electronics 9, no. 6 (2020): 965. http://dx.doi.org/10.3390/electronics9060965.

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A smart city can be defined as a city exploiting information and communication technologies to enhance the quality of life of its citizens by providing them with improved services while ensuring a conscious use of the available limited resources. This paper introduces a conceptual framework for the smart city, namely, the Smart City Service System. The framework proposes a vision of the smart city as a service system according to the principles of the Service-Dominant Logic and the service science theories. The rationale is that the services offered within the city can be improved and optimize

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33

Chang, Shi-Huo, and L. Leung. "A knowledge-based message management system." ACM Transactions on Information Systems 5, no. 3 (1987): 213–36. http://dx.doi.org/10.1145/27641.27642.

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34

NIEMANN, H., A. BRIETZMANN, U. EHRLICH, et al. "A KNOWLEDGE BASED SPEECH UNDERSTANDING SYSTEM." International Journal of Pattern Recognition and Artificial Intelligence 02, no. 02 (1988): 321–50. http://dx.doi.org/10.1142/s0218001488000200.

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This article describes the work in the development of the speech understanding and dialog system EVAR. The relevant knowledge bases containing the raw linguistic knowledge and the preprocessors converting this to the specialized form needed by the processing algorithms are treated. Processing so far covers the level of the speech signal up to the level of pragmatic analysis. Some topics of ongoing and future work are mentioned briefly.

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35

Munjulury, Raghu Chaitanya, Ingo Staack, Adrián Sabaté López, and Petter Krus. "Knowledge-based aircraft fuel system integration." Aircraft Engineering and Aerospace Technology 90, no. 7 (2018): 1128–35. http://dx.doi.org/10.1108/aeat-01-2017-0046.

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Purpose This paper aims to present a knowledge-based fuel system, implementation and application, oriented towards its use in aircraft conceptual design. Design/methodology/approach Methodology and software tools oriented to knowledge-based engineering applications (MOKA) is used as a foundation for the implementation and integration of fuel systems. Findings Including fuel systems earlier in the design process creates an opportunity to optimize it and obtain better solutions by allocating suitable locations in an aircraft, thereby reflecting on the centre of gravity of the aircraft. Research

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36

Uehara, Takao. "A Knowledge-Based Logic Design System." IEEE Design & Test of Computers 2, no. 5 (1985): 27–34. http://dx.doi.org/10.1109/mdt.1985.294813.

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37

Ehizojie, Lucky, Daniel Okoro Ukah, Doris Nnakwuzie, Samuel Abiola Ajayi, Emmanuel Segun Shokenu, and Abiodun Sojobi. "An Online Knowledge-Based Support System." International Journal Papier Public Review 5, no. 4 (2024): 79–92. http://dx.doi.org/10.47667/ijppr.v5i4.328.

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Technology advances have touched all the fields of human life, and the educational system is not an exception. Students in Nigerian universities experience challenges in their early or later stages of school due to a lack of a knowledge-based support system. This results in massive failure and confusion in later days in school. A knowledge-based online support system has been developed and implemented in this paper to improve academic support services for students and faculty members in the university. The need for such a support system stems from the various academic problems that the student

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38

Chameau, J. L., and J. C. Santamarina. "Knowledge‐Based System for Soil Improvement." Journal of Computing in Civil Engineering 3, no. 3 (1989): 253–67. http://dx.doi.org/10.1061/(asce)0887-3801(1989)3:3(253).

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39

Karna, Nyoman Bogi Aditya, Iping Supriana, and Ulfa Maulidevi. "Intelligent Interface for Knowledge Based System." TELKOMNIKA (Telecommunication Computing Electronics and Control) 12, no. 4 (2014): 1096. http://dx.doi.org/10.12928/telkomnika.v12i4.413.

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40

Gilmore, John F. "Knowledge-based target recognition system evolution." Optical Engineering 30, no. 5 (1991): 557. http://dx.doi.org/10.1117/12.55829.

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41

Chiang, Tewei, HaiYen Hau, Hwan Ming Chiang, Su Yun Kob, and Chao Ho Hsieh. "Knowledge-based system for railway scheduling." Data & Knowledge Engineering 27, no. 3 (1998): 289–312. http://dx.doi.org/10.1016/s0169-023x(97)00040-2.

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42

Mockler, Robert J., and D. G. Dologite. "Teaching Expert Knowledge-Based System Development." Journal of Education for Business 63, no. 7 (1988): 300–306. http://dx.doi.org/10.1080/08832323.1988.10118481.

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43

Mo, John P. T., and Laszlo Nemes. "A Knowledge Based Remote Diagnostic System." IFAC Proceedings Volumes 30, no. 25 (1997): 475–80. http://dx.doi.org/10.1016/s1474-6670(17)41368-1.

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44

Snoeys, R., W. Dekeyser, and C. Tricarico. "Knowledge-Based System for Wire EDM." CIRP Annals 37, no. 1 (1988): 197–202. http://dx.doi.org/10.1016/s0007-8506(07)61617-5.

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45

Nicolson, Roderick I., and Philip Tomlinson. "USHIR: A Knowledge-Based Hypermedia System." Hypermedia 3, no. 1 (1991): 1–33. http://dx.doi.org/10.1080/09558543.1991.12031188.

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46

Wu, Guo Dong, and Zheng Yi Liu. "Election System Based on Prior Knowledge." Advanced Materials Research 989-994 (July 2014): 4806–10. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4806.

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In order to optimize the election system, we present a vote counting system based on prior knowledge, which makes the ballot style more flexible. The system processes votes by using prior knowledge presetted after obtaining images from the scanner. And it can effectively determine ballots’ side to solve the problem of direction uncertainty. The speed of processing each ballot is improved so the problem of limited efficiency can be solved. In addition, the system identifies the position of each option on the ballot to solve the multiple options problems. Experimental results show that the metho

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47

Collinot, Anne, Claude Le Pape, and Gérard Pinoteau. "SONIA: A knowledge-based scheduling system." Artificial Intelligence in Engineering 3, no. 2 (1988): 86–94. http://dx.doi.org/10.1016/0954-1810(88)90024-6.

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48

Park, Moonseo, Kyung-won Lee, Hyun-soo Lee, Pan Jiayi, and Jungho Yu. "Ontology-based construction knowledge retrieval system." KSCE Journal of Civil Engineering 17, no. 7 (2013): 1654–63. http://dx.doi.org/10.1007/s12205-013-1155-6.

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49

Chootongchai, Suparoek, Noawanit Songkram, and Pongpun Anuntavoranich. "Knowledge-based new product development system." International Journal of Knowledge Management Studies 6, no. 1 (2015): 63. http://dx.doi.org/10.1504/ijkms.2015.071654.

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50

Smith, Lyndon. "Knowledge based system for powder metallurgy." Powder Metallurgy 46, no. 1 (2003): 9–10. http://dx.doi.org/10.1179/003258903765072021.

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