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Academic Articles & Research Papers
Showing 20 of 36 academic articles
Zahra Asghari Varzaneh, Soodeh Hosseini • Journal of Artificial Intelligence and Data Mining
(2023)
This paper proposed a fuzzy expert system for diagnosing diabetes. In the proposed method, at first, the fuzzy rules are generated based on the Pima Indians Diabetes Database (PIDD) and then the fuzzy membership functions are tuned using th...
DOAJ
Open Access (DOAJ)
DOI: 10.22044/jadm.2023.12383.2383
Stephen G. Ritchie (1987)
This paper reviews microcomputer-based expert systems in transportation engineering. Expert systems have great potential for solving ill-structured problems and for becoming useful tools for practicing transportation engineers. First, a bri...
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Ardeshir Faghri, Jiuyi Hua • Transportation Research Record Journal of the Transportation Research Board
(1992)
The increased interest in artificial neural networks (ANNs) seen in government and private research as well as business and industry has included relatively little activity in transportation engineering. The position that ANNs, as a branch ...
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Pérez-Rey David, de la Iglesia Diana, de la Calle Guillermo, López-Campos Guillermo et al. • BMC Bioinformatics
(2010)
Abstract Background Primer and probe sequences are the main components of nucleic acid-based detection systems. Biologists use primers and probes for different tasks, some related to the diagnosis and prescription of infectious diseases. Th...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/1471-2105-11-410
Bruce I. Blum • Journal of Clinical Engineering
(1985)
This review considers the role of artificial intelligence (AI) in medical informatics. It begins by describing artificial intelligence and then places it in the context of medical computing. Knowledge processing is emphasized. Following a b...
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DOI: https://doi.org/10.1097/00004669-198504000-00004
Kevin B. Johnson • Archives of Pediatrics and Adolescent Medicine
(1995)
Decision support is an important area of medical informatics research. Computer-based decision-support tools facilitate diagnosis and the management of patients after a diagnosis has been established. Diagnostic decision-support tools, such...
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DOI: https://doi.org/10.1001/archpedi.1995.02170250077014
Robert Brian Haynes, Michael F. Ramsden, Kathleen Ann McKibbon, C J Walker et al. • Academic Medicine
(1989)
Physicians have considerable difficulty collecting and interpreting information from patients, dealing with the uncertainties associated with diagnosing and treating their patients, communicating precisely with one another, keeping up to da...
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DOI: https://doi.org/10.1097/00001888-198904000-00009
R. Daniel VanLuchene, ROUFEI SUN • Computer-Aided Civil and Infrastructure Engineering
(1990)
In the past few years literature on computational civil engineering has concentrated primarily on artificial intelligence (Al) applications involving expert system technology. This article discusses a different Al approach involving neural ...
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cc-by-nc-nd
DOI: https://doi.org/10.1111/j.1467-8667.1990.tb00377.x
T. Sorsa, Heikki N. Koivo, Hannu J. Koivisto • IEEE Transactions on Systems Man and Cybernetics
(1991)
Fault detection and diagnosis is an important problem in process automation. Both model-based methods and expert systems have been suggested to solve the problem, along with the pattern recognition approach. A number of possible neural netw...
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DOI: https://doi.org/10.1109/21.108299
Myoung-Jong Kim, Dae-Ki Kang • Expert Systems with Applications
(2009)
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DOI: https://doi.org/10.1016/j.eswa.2009.10.012
Mukta Paliwal, Usha A. Kumar • Expert Systems with Applications
(2007)
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DOI: https://doi.org/10.1016/j.eswa.2007.10.005
James Cannady (1998)
Misuse detection is the process of attempting to identify instances of network attacks by comparing current activity against the expected actions of an intruder. Most current approaches to misuse detection involve the use of rule-based expe...
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Osama Moselhi, Tarek Hegazy, Paul Fazio • Journal of Construction Engineering and Management
(1991)
The competitive and risk‐averse nature of the construction industry and its heuristic problem‐solving needs, among other reasons, have contributed to the development of nontraditional decision‐making tools. Research in artificial intelligen...
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DOI: https://doi.org/10.1061/(asce)0733-9364(1991)117:4(606)
Masoud Yazdani • Chapman & Hall eBooks
(1986)
Part 1. Principles of artificial intelligence, John Campbell. Part 2 Tools and techniques: artificial intelligence programming environments and the POPLOG system, John Gibson LISP, lists and pattern-matching, Tony Hasemer. Part 3 Applicatio...
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Iago Sestrem Ochôa, Luis Augusto Silva, Gabriel de Mello, Bruno Alves da Silva et al. • Sensors
(2019)
With the popularization of the Internet-of-Things, various applications have emerged to make life easier. These applications generate a large amount of user data. Analyzing the data obtained from these applications, one can infer personal i...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s19204483
Jalaj Thanaki (2017)
Leverage the power of machine learning and deep learning to extract information from text dataAbout This BookImplement Machine Learning and Deep Learning techniques for efficient natural language processingGet started with NLTK and implemen...
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Julia Hirschberg, Bruce W. Ballard, Donald M. Hindle • AT&T Technical Journal
(1988)
Researchers in natural language processing (NLP) apply computational techniques to the understanding and generation of human language. Currently, we are focusing on the development of grammatical formalisms and parsing algorithms, appropria...
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DOI: https://doi.org/10.1002/j.1538-7305.1988.tb00232.x
Yorick Alexander Wilks • Psychology Press eBooks
(2018)
Accompanying continued industrial production and sales of artificial intelligence and expert systems is the risk that difficult and resistant theoretical problems and issues will be ignored. The participants at the Third Tinlap Workshop, wh...
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DOI: https://doi.org/10.4324/9781315785455
S. Meera, S Geerthik • Wiley eBooks
(2022)
The AI approach applies to natural language processing. The AI communication approach uses intelligent systems. These intelligent systems, such as English, use natural languages. The process of Natural Language required a smart machine such...
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DOI: https://doi.org/10.1002/9781119821809.ch10
Abdulla Al-Kaff, David Martín, Fernando García, Arturo de la Escalera et al. • Expert Systems with Applications
(2017)
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Open Access
DOI: https://doi.org/10.1016/j.eswa.2017.09.033