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Journal articles on the topic 'Systems, Expert (Computer science)'

Author: Grafiati

Published: 28 July 2024

Last updated: 31 July 2025

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1

Matsuzaka, Yasunari, and Ryu Yashiro. "AI-Based Computer Vision Techniques and Expert Systems." AI 4, no. 1 (2023): 289–302. http://dx.doi.org/10.3390/ai4010013.

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Computer vision is a branch of computer science that studies how computers can ‘see’. It is a field that provides significant value for advancements in academia and artificial intelligence by processing images captured with a camera. In other words, the purpose of computer vision is to impart computers with the functions of human eyes and realise ‘vision’ among computers. Deep learning is a method of realising computer vision using image recognition and object detection technologies. Since its emergence, computer vision has evolved rapidly with the development of deep learning and has signific

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2

Cooper, Philip. "Expert systems in management science." Future Generation Computer Systems 2, no. 4 (1986): 217–23. http://dx.doi.org/10.1016/0167-739x(86)90021-x.

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3

Jones, R. P. "Expert systems." International Review of Law, Computers & Technology 2, no. 1 (1986): 142–44. http://dx.doi.org/10.1080/13600869.1986.9966241.

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4

Upchurch, E. T., K. S. Raman, and K. Ranai. "Designing expert systems for modeling complex computer systems." ISA Transactions 28, no. 1 (1989): 27–29. http://dx.doi.org/10.1016/0019-0578(89)90053-0.

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5

Miller, CDF. "Expert systems." Data Processing 27, no. 6 (1985): 49. http://dx.doi.org/10.1016/0011-684x(85)90281-3.

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6

Ruttkay, Z. "Expert systems in computer-aided design." Computer-Aided Design 21, no. 9 (1989): 596. http://dx.doi.org/10.1016/0010-4485(89)90022-5.

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7

El-Najdawi, M. K., and Anthony C. Stylianou. "Expert support systems." Communications of the ACM 36, no. 12 (1993): 55. http://dx.doi.org/10.1145/163298.163306.

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8

Gallant, Stephen I. "Connectionist expert systems." Communications of the ACM 31, no. 2 (1988): 152–69. http://dx.doi.org/10.1145/42372.42377.

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9

Lirov, Yuval. "Computer-aided software engineering of expert systems." Expert Systems with Applications 2, no. 4 (1991): 333–43. http://dx.doi.org/10.1016/0957-4174(91)90039-h.

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10

Prantosh Kr. Pau, C., R. Senthamarai, K. S. Shivraj, D. Chatterjee, and B. Karn. "Artificial Intelligence and Expert Systems: Its Emerging Interaction and Importance in Information Science – An overview." Asian Journal of Electrical Sciences 1, no. 2 (2012): 6–10. http://dx.doi.org/10.51983/ajes-2012.1.2.1684.

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This paper mainly deals with overview of artificial intelligence and Expert System. Artificial Intelligence primarily responsible for developing computer programs which are able to read, speak, and understand as like man. Other hand Expert System refers to expert System needed for advance decision and intelligence robotics application. Expert System can communicate with user in their natural language and processes the capacity to catch to the individual desire. Here in this paper role of Artificial Intelligence and Expert System elaborate briefly, where as application of these computer techniq

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11

Grindley, Kit. "Applying expert principles to computer systems development." Data Processing 28, no. 1 (1986): 10–14. http://dx.doi.org/10.1016/0011-684x(86)90183-8.

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12

Jones, Russell. "Commercial expert systems." Data Processing 28, no. 3 (1986): 115–19. http://dx.doi.org/10.1016/0011-684x(86)90002-x.

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13

MacCallum, K. J. "Expert systems '85." Artificial Intelligence in Engineering 1, no. 1 (1986): 58. http://dx.doi.org/10.1016/0954-1810(86)90036-1.

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14

Sucharov, Lance. "Expert systems 87." Artificial Intelligence in Engineering 5, no. 4 (1990): 226. http://dx.doi.org/10.1016/0954-1810(90)90029-4.

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15

August, Tom, J. Terry, and David Roy. "Embedding Computer Vision in Citizen Science." Biodiversity Information Science and Standards 3 (June 13, 2019): e37085. https://doi.org/10.3897/biss.3.37085.

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The rapid rise of Artificial Intelligence (AI) methods has presented new opportunities for those who work with biodiversity data. Computer vision, in particular where computers can be trained to identify species in digital photographs, has significant potential to address a number of existing challenges in citizen science. The Biological Records Centre (www.brc.ac.uk) has been a central focus for terrestrial and freshwater citizen science in the United Kingdom for over 50 years. We will present our research on how computer vision can be embedded in citizen science, addressing three important q

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16

Jeapes, Ben. "Vale Expert Systems." Electronic Library 14, no. 3 (1996): 195–96. http://dx.doi.org/10.1108/eb045466.

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17

Rosenman, Michael A., John S. Gero, Peter J. Hutchinson, and Rivka Oxman. "Expert systems applications in computer-aided design." Computer-Aided Design 18, no. 10 (1986): 546–51. http://dx.doi.org/10.1016/0010-4485(86)90043-6.

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18

Rosenman, Michael A., John S. Gero, Peter J. Hutchinson, and Rivka Oxman. "Expert systems applications in computer-aided design." Computer-Aided Design 18, no. 7 (1986): 392–93. http://dx.doi.org/10.1016/0010-4485(86)90248-4.

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19

Ullmann, Julian. "Managing expert systems." Information and Software Technology 30, no. 5 (1988): 315. http://dx.doi.org/10.1016/0950-5849(88)90027-4.

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20

Li, G. "Developing expert systems." Information and Software Technology 32, no. 4 (1990): 319. http://dx.doi.org/10.1016/0950-5849(90)90081-2.

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21

Prakash, N. "Expert database systems." Information and Software Technology 32, no. 8 (1990): 572–73. http://dx.doi.org/10.1016/0950-5849(90)90153-i.

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22

Li, G. "Expert systems introduced." Information and Software Technology 33, no. 6 (1991): 462–63. http://dx.doi.org/10.1016/0950-5849(91)90084-o.

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23

Tanik, MM. "Creating expert systems." Information and Software Technology 33, no. 8 (1991): 607. http://dx.doi.org/10.1016/0950-5849(91)90127-w.

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24

Whittington, RP. "Expert database systems." Information and Software Technology 33, no. 4 (1991): 301. http://dx.doi.org/10.1016/0950-5849(91)90155-5.

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25

Susila Mete, Andreas Ariyanto Rangga, and Agustina Purnami Setiawi. "Penerapan Metode Cased Based Reasoning dalam Mendiagnosa Penyakit TB Paru Berbasis Web." Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi 2, no. 4 (2024): 73–83. http://dx.doi.org/10.61132/neptunus.v2i4.412.

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Collaboration of computer science disciplines with other disciplines has been widely carried out, for example, medical science. Expert systems for disease diagnosis are one of the many computer programs used by doctors to assist them in their work and provide good results. Researchers in the field of artificial intelligence are working to improve existing systems to cover their shortcomings. Expert systems are used in many applications for disease diagnosis. Expert systems have been used in various industries and have had a significant impact. An innovative method for diagnosing diseases is th

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26

d'Agapeyeff, A. "What are Expert Systems?" Journal of Computer Assisted Learning 2, no. 1 (1986): 28–36. http://dx.doi.org/10.1111/j.1365-2729.1986.tb00061.x.

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27

SHAHABUDDIN, SYED. "Expert systems and forecasting." International Journal of Systems Science 21, no. 10 (1990): 1997–2004. http://dx.doi.org/10.1080/00207729008910519.

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28

P, DURAISAMY. "ARTIFICIAL INTELLIGENCE BASED EXPERT SYSTEMS: APPLICATIONS TO HORTICULTURE." Madras Agricultural Journal 83, February (1996): 98–101. http://dx.doi.org/10.29321/maj.10.a00978.

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Decreasing supporting resources and increasing complexity of horticultural crop production necessitate the new technologies be developed to transfer information to farmers as well as commercial producers. Expert systems, a sub area of artificial intelligence of computer science offer the possibility to implement horticultural knowledge into field practice in the form of computer programme in order to support the farmers in decision making at farm level. This paper provides an overview of the concept of expert system and examples of areas of horticultural applications of these systems are in us

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29

Dym, Clive L. "EXPERT SYSTEMS: New approaches to computer-aided engineering." Engineering with Computers 1, no. 1 (1985): 9–25. http://dx.doi.org/10.1007/bf01200335.

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30

Wang, Paul P., and Keith M. Sullivan. "Medical expert systems." Information Sciences 162, no. 2 (2004): 63–64. http://dx.doi.org/10.1016/j.ins.2004.03.001.

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31

Lee, Daniel T. "Expert Decision-support Systems for Decision-making." Journal of Information Technology 3, no. 2 (1988): 85–94. http://dx.doi.org/10.1177/026839628800300204.

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Computers have made tremendous contributions towards transactional processing. However, the highest pay-off the computer can make is not in transactional processing but in decision-making. Recently, expert systems have just begun to be used in the decision-making process. Individual technologies alone are inadequate for an effective decision support. The purpose of this paper is to investigate the related issues in decision support and to develop an expert decision support system (EDSS) for combining decision support systems and expert systems into a unified whole for decision support. The emp

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32

Roberts, H. J. "Expert Systems Clubs: Design Methods." Computer Journal 33, no. 6 (1990): 556–61. http://dx.doi.org/10.1093/comjnl/33.6.556.

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33

Silverman, Barry G. "Survey of expert critiquing systems." Communications of the ACM 35, no. 4 (1992): 106–27. http://dx.doi.org/10.1145/129852.129861.

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34

Bobrow, D. G., S. Mittal, and M. J. Stefik. "Expert systems: perils and promise." Communications of the ACM 29, no. 9 (1986): 880–94. http://dx.doi.org/10.1145/6592.6597.

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35

Kelly, Peter. "Expert systems using shells." Data Processing 28, no. 3 (1986): 139–40. http://dx.doi.org/10.1016/0011-684x(86)90005-5.

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36

Mercy, Andy. "Devoping expert CAD systems." Artificial Intelligence in Engineering 1, no. 1 (1986): 63. http://dx.doi.org/10.1016/0954-1810(86)90045-2.

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37

Carter, Ian M. "Application of expert systems." Artificial Intelligence in Engineering 4, no. 1 (1989): 54. http://dx.doi.org/10.1016/0954-1810(89)90025-3.

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38

Seifoddini, Hamid. "Machine grouping — Expert systems." Computers & Industrial Engineering 15, no. 1-4 (1988): 210–16. http://dx.doi.org/10.1016/0360-8352(88)90088-5.

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39

Gero, John. "Expert systems in CAD." Computer-Aided Design 17, no. 9 (1985): 396–98. http://dx.doi.org/10.1016/0010-4485(85)90286-6.

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40

Davies, B. J. "Expert systems." International Journal of Advanced Manufacturing Technology 2, no. 1 (1987): 1–2. http://dx.doi.org/10.1007/bf02601464.

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41

Yoe Kwa, H., Johan van der Lei, and Jan A. Kors. "Expert systems integrated with information systems." Computer Methods and Programs in Biomedicine 25, no. 3 (1987): 327–32. http://dx.doi.org/10.1016/0169-2607(87)90091-5.

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42

KHAKHANOVSKYI, V. "Automation of forensic expert research." INFORMATION AND LAW, no. 2(8) (July 25, 2013): 92–97. http://dx.doi.org/10.37750/2616-6798.2013.2(8).272330.

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43

Silverman, Barry G. "Unifying Expert Systems and the Decision Sciences." Operations Research 42, no. 3 (1994): 393–413. http://dx.doi.org/10.1287/opre.42.3.393.

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44

Liebowitz, Jay. "Expert systems." Kybernetes 27, no. 2 (1998): 170–75. http://dx.doi.org/10.1108/03684929810205832.

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45

de Jong, Lieuwe Sytse. "Engineering of expert systems." Information and Software Technology 30, no. 7 (1988): 418–25. http://dx.doi.org/10.1016/0950-5849(88)90038-9.

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46

Ullmann, Julian. "Expert systems for managers." Information and Software Technology 30, no. 2 (1988): 124. http://dx.doi.org/10.1016/0950-5849(88)90075-4.

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47

Tanik, M. M. "Research and development in expert systems V: Proceedings of Expert Systems' 88." Information and Software Technology 31, no. 8 (1989): 451. http://dx.doi.org/10.1016/0950-5849(89)90124-9.

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48

Jones, Russell. "European expert systems project for systems developers." Data Processing 28, no. 1 (1986): 15–17. http://dx.doi.org/10.1016/0011-684x(86)90184-x.

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49

Dr., Ali Mirza Mahmood, Kowshik Borra, and Ali Mirza Faheem. "Artificial Intelligence Techniques, Methods and Framework: An Epigrammatic Analysis." Advancement of Computer Technology and its Applications 8, no. 1 (2024): 28–38. https://doi.org/10.5281/zenodo.13999765.

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<em>The development of artificial intelligence and intelligent systems began with the invention of computers and their exponential growth in performance of diverse tasks. Artificial intelligence is a subfield of computer science that aims to create machines or computers with cognitive abilities comparable to those of humans. Major subfields of this field include robotics and expert systems. Another goal is to use computers to enhance human thought processes in the same way that motors enhance human or horse power. Real-world applications are numerous and varied.</em> <em>The purpose of this wo

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50

Peyton, C. "An introduction to expert systems." Journal of Computer Assisted Learning 1, no. 1 (1985): 25–32. http://dx.doi.org/10.1111/j.1365-2729.1985.tb00005.x.

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