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검색어 : 통합검색[Expert systems (Computer science) --Library applications.]

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    SHyFTOO, an object-oriented Monte Carlo simulation library for the modeling of Stochastic Hybrid Fault Tree Automaton
    Chiacchio, Ferdinando; Aizpurua, Jose Ignacio; Compagno, Lucio; D'Urso, Diego; Department of Electrical, Electronical and Computer Engineering, University of Catania; Signal Processing & Communications Group, Electronics & Computer Science Department, Mondragon University; Department of Electrical, Electronical and Computer Engineering, University of Catania; Department of Electrical, Electronical and Computer Engineering, University of Catania; (Expert systems with applications, v.146, 2020, pp.113139)
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    Modeling Speedup in Multi-OS Environments
    Tauro, Brian R.; Liu, Conghao; Hale, Kyle C.; Illinois Institute of Technology, Department of Computer Science, Chicago, IL, USA; Illinois Institute of Technology, Department of Computer Science, Chicago, IL, USA; Illinois Institute of Technology, Department of Computer Science, Chicago, IL, USA; (IEEE transactions on parallel and distributed systems : a publication of the IEEE Computer Society, v.33, 2022, pp.1436-1450)
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    Experimenting with big data computing for scaling data quality-aware query processing
    Cisneros-Cabrera, Sonia; Michailidou, Anna-Valentini; Sampaio, Sandra; Sampaio, Pedro; Gounaris, Anastasios; Department of Computer Science, The University of Manchester; Department of Informatics, Aristotle University of Thessaloniki; Department of Computer Science, The University of Manchester; Alliance Manchester Business School, The University of Manchester; Department of Informatics, Aristotle University of Thessaloniki; (Expert systems with applications, v.178, 2021, pp.114858)
  • 4
    Table of contents vol. 01
    ; ; (Computer Research and Development (ICCRD), 2011 3rd International Conference on, v.1, 2011, pp.1-9)
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    The CL-PVM package
    Li, Liwei; Wang, Paul S.; Institute for Computational Mathematics, Department of Mathematics and Computer Science, Kent State University; Institute for Computational Mathematics, Department of Mathematics and Computer Science, Kent State University; (SIGSAM bulletin : a quarterly publication of the Special Interest Group on Symbolic & Algebraic Manipulation, v.29, 1995, pp.2-8)
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    A learning-based ontology alignment approach using inductive logic programming
    Karimi, Hamed; Kamandi, Ali; Corresponding author.; (Expert systems with applications, v.125, 2019, pp.412-424)
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    Transfer Learning Model Training Time Comparison for Osteoporosis Classification on Knee Radiograph of RGB and Grayscale Images
    Abubakar, Usman Bello; Boukar, Moussa Mahamat; Adeshina, Steve; Dane, Senol; Department of Computer Science, Baze University, Abuja, NIGERIA; Department of Computer Science, Nile University of Nigeria, Abuja, NIGERIA; Department of Computer Engineering, Nile University of Nigeria Abuja, NIGERIA; Department of Physiology, Nile University of Nigeria, Abuja, NIGERIA; (WSEAS transactions on electronics, v.13, 2022, pp.45-51)
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    Constructing a biodiversity terminological inventory
    Nguyen, Nhung T. H.; Soto, Axel J.; Kontonatsios, Georgios; Batista-Navarro, Riza; Ananiadou, Sophia; National Centre for Text Mining, School of Computer Science, University of Manchester, Manchester, United Kingdom; National Centre for Text Mining, School of Computer Science, University of Manchester, Manchester, United Kingdom; National Centre for Text Mining, School of Computer Science, University of Manchester, Manchester, United Kingdom; National Centre for Text Mining, School of Computer Science, University of Manchester, Manchester, United Kingdom; National Centre for Text Mining, School of Computer Science, University of Manchester, Manchester, United Kingdom; (PloS one, v.12, 2017, pp.e0175277)
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    A Rule-Based Automated Chemical Recognition Algorithm for a Multi-Cell Multi-Detector Micro Gas Chromatograph
    Xu, Qu; Qin, Yutao; Gianchandani, Yogesh B.; Department of Integrative Systems + Design, and Center for Wireless Integrated MicroSensing and Systems (WIMS2), University of Michigan, Ann Arbor, MI 48109, USA; Department of Electrical Engineering and Computer Science, and Center for Wireless Integrated MicroSensing and Systems (WIMS2), University of Michigan, Ann Arbor, MI 48109, USA; Department of Electrical Engineering and Computer Science, and Center for Wireless Integrated MicroSensing and Systems (WIMS2), University of Michigan, Ann Arbor, MI 48109, USA; (Separations, v.10, 2023, pp.555)
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    Which method to use? An assessment of data mining methods in Environmental Data Science
    Gibert, Karina; Izquierdo, Joaquí n; Sà nchez-Marrè , Miquel; Hamilton, Serena H.; Rodrí guez-Roda, Ignasi; Holmes, Geoff; Knowledge Engineering and Machine Learning group at Intelligent Data Science and Artificial Intelligence Research Center (KEMLG-at-IDEAI), Universitat Polité cnica de Catalunya-BarcelonaTech; Fluing-IMM Universitat Politè cnica de Valè ncia; Knowledge Engineering and Machine Learning group at Intelligent Data Science and Artificial Intelligence Research Center (KEMLG-at-IDEAI), Universitat Polité cnica de Catalunya-BarcelonaTech; School of Sciences, Edith Cowan University; Laboratory of Chemical and Environmental Engineering (LEQUIA), University of Girona; Department of Computer Science, University of Waikato; (Environmental modelling & software : with environment data news, v.110, 2018, pp.3-27)
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