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Showing 16 of 36 academic articles
Hikmet Esen, Filiz Özgen, Mehmet Esen, Abdulkadir Şengür • Expert Systems with Applications
(2009)
OPENALEX
Open Access
DOI: https://doi.org/10.1016/j.eswa.2009.02.073
Jin Liu, Yi Feng Pan, Min Li, Ziyue Chen et al. • Big Data Mining and Analytics
(2018)
Deep learning provides exciting solutions in many fields, such as image analysis, natural language processing, and expert system, and is seen as a key method for various future applications. On account of its non-invasive and good soft tiss...
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DOI: https://doi.org/10.26599/bdma.2018.9020001
Roger Alves de Oliveira, Math Bollen • Electric Power Systems Research
(2022)
This paper aims to introduce deep learning to the power quality community by reviewing the latest applications and discussing the open challenges of this technology. Publications covering deep learning to power quality are stratified in ter...
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DOI: https://doi.org/10.1016/j.epsr.2022.108887
Paschalis Bizopoulos, Dimitris Koutsouris • IEEE Reviews in Biomedical Engineering
(2018)
The medical field is creating large amount of data that physicians are unable to decipher and use efficiently. Moreover, rule-based expert systems are inefficient in solving complicated medical tasks or for creating insights using big data....
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Open Access
DOI: https://doi.org/10.1109/rbme.2018.2885714
Pat Langley B, Herbert A. Simon • Communications of the ACM
(1995)
M achine learning is the study of computational methods for improving performance by mechanizing the acquisition of knowledge from experience. Expert performance requires much domain-specific knowledge, and knowledge engineering has produce...
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DOI: https://doi.org/10.1145/219717.219768
Flávio Barboza, Herbert Kimura, Edward I. Altman • Expert Systems with Applications
(2017)
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DOI: https://doi.org/10.1016/j.eswa.2017.04.006
Akshar Joshi, Gautam Mishra • International Conference & Workshop on Emerging Trends in Technology
(2010)
In this paper, we will explore the magic of giving the power of thinking to man--made machines, i.e. Artificial Intelligence which is involved in many fields of electronics and computers. In 1956, John McCarthy who coined the term of Artifi...
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DOI: https://doi.org/10.1145/1741906.1742236
Paul M. Mather, Stan Openshaw, C. Openshaw • Geographical Journal
(1998)
From the Publisher:
The text provides an introduction to expert systems, neural nets, genetic algorithms, smart systems and artificial life and shows how they are likely to transform geographical enquiry. An integral disk provides examples...
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DOI: https://doi.org/10.2307/3060633
Janet Finlay, Alan John Dix • CRC Press eBooks
(2020)
An authoritative and accessible one-stop resource, An Introduction to Artificial Intelligence presents the first full examination of AI. Designed to provide an understanding of the foundations of artificial intelligence, it examines the cen...
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DOI: https://doi.org/10.1201/9781003072485
Shuai Zhao, Frede Blaabjerg, Huai Wang • IEEE Transactions on Power Electronics
(2020)
This is a preprint version of the manuscript submitted to IEEE on June 4, 2020. This paper gives an overview of the Artificial Intelligence (AI) applications for power electronic systems. The three distinctive life-cycle phases, design, con...
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DOI: https://doi.org/10.1109/tpel.2020.3024914
Lawrence E. Widman, Kenneth A. Loparo • INFORMS Journal on Applied Analytics
(1990)
Artificial intelligence and simulation overlap increasingly as computer hardware prices fall and software sophistication increases. Artificial intelligence programming methods permit more realistic and robust simulation models and help the ...
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DOI: https://doi.org/10.1287/inte.20.2.48
P. A. Nechaeva, G. R. Yusupova • Вестник университета
(2023)
In the modern economy, digitalization has become one of the key components of the Russian Federation regions socio-economic development. Enterprises of various industries are faced with the need to process large amounts of data, which great...
DOAJ
Open Access (DOAJ)
DOI: 10.26425/1816-4277-2023-1-36-47
Michael Negnevitsky • eCite Digital Repository (University of Tasmania)
(2001)
From the Publisher:
Virtually all the literature on artificial intelligence is expressed in the jargon of commuter science, crowded with complex matrix algebra and differential equations. Unlike many other books on computer intelligence, t...
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AN Ramesh, C. Kambhampati, J. Quinn Monson, Philip J. Drew • Annals of The Royal College of Surgeons of England
(2004)
INTRODUCTION: Artificial intelligence is a branch of computer science capable of analysing complex medical data. Their potential to exploit meaningful relationship with in a data set can be used in the diagnosis, treatment and predicting ou...
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Open Access
DOI: https://doi.org/10.1308/147870804290
PMC: 1964229
Gheorghe D. Tecuci • Wiley Interdisciplinary Reviews Computational Statistics
(2011)
Abstract Artificial intelligence (AI) is the Science and Engineering domain concerned with the theory and practice of developing systems that exhibit the characteristics we associate with intelligence in human behavior. Starting with a brie...
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DOI: https://doi.org/10.1002/wics.200
Gocha Ugulava • ეკონომიკური პროფილი
(2022)
Artificial intelligence methods and technologies are increasingly included in human's everyday life. Managing actors in the context of their activities, from the planning stage to the decision-making stage, are faced with the need to operat...
DOAJ
Open Access (DOAJ)
DOI: 10.52244/ep.2021.22.11