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RESEARCH PAPER · Procedia Computer Science · 2017

Synthesis of new materials by using fuzzy and big data concepts

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16 direct citing papers in this saved network. Explore the next layer with second-order citations.

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42 direct citing works

Synthesis of new materials by using fuzzy and big data conceptsOriginalReview on the New Materials Design Methods4Theory and Practice of Material Development Under Imperfect Information6Fuzzy Logic and Fuzzy Expert System-Based Material Synthesis Methods5Artificial Intelligence-Based New Material Design1Synthesis of “iron-cast iron-glass” Obsolete Powder Composite Materials Using Fuzzy Logic1Fuzzy Object Oriented Database for Big Data0Fuzzy multicriteria decision-making-based optimal Zn–Al alloy selection in corrosive environment13Alternative possibilities for application of foamed silicate materials2Fuzzy Assessment of Corrosion Risks1Fuzzy Assessment of Technological Risks in the Main Oil Pipeline3Synthesis of Optimal Technological Parameters of “Iron-Cast-Glass” Grinding Composite Materials Using Fuzzy Logic and Big Data Concepts4Application of ANFIS to Predict Adhesive Wear Rate in Different Fiber-Reinforced HDPE Matrix Composite Materials3The Use of Fuzzy IF-THEN Rules for Modeling Relationship Between Steel Alloy Composition and Its Characteristics0An interpretable predictive framework based on rules and machine learning: rule extraction, validation and adaptive integration with machine learning0The role of artificial intelligence and the internet of things in chitosan synthesis and electrochemical sensors applications: A brief overview3Investigation of the Composition–Phase-Transformation Temperature Relationship in the NiTi-Based Alloys Using Machine Learning0

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  1. Review on the New Materials Design Methods

    Advances in intelligent systems and computing · 2018-12-28

    Mustafa Babanli, Frédéric Prima, P. Vermaut, Lesya Demchenko, Anatoliy Titenko, Sayami Huseynov, R. J. Hajiyev, V. M. Huseynov

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  2. Theory and Practice of Material Development Under Imperfect Information

    Advances in intelligent systems and computing · 2018-12-28

    Mustafa Babanli

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  3. Fuzzy Logic and Fuzzy Expert System-Based Material Synthesis Methods

    IntechOpen eBooks · 2019-03-04

    Mustafa Babanli

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  4. Artificial Intelligence-Based New Material Design

    Advances in intelligent systems and computing · 2019-11-19

    Mustafa Babanli

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  5. Synthesis of “iron-cast iron-glass” Obsolete Powder Composite Materials Using Fuzzy Logic

    Advances in intelligent systems and computing · 2019-11-19

    T. G. Jabbarov

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  6. Fuzzy Object Oriented Database for Big Data

    International Journal of Engineering and Advanced Technology · 2020-04-30

    Bhawana Chaudhary, Santosh Kumar

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  7. Fuzzy multicriteria decision-making-based optimal Zn–Al alloy selection in corrosive environment

    International Journal of Materials Research (formerly Zeitschrift fuer Metallkunde) · 2020-11-01

    Ankur V. Bansod, Awanikumar P. Patil, Kanak Kalita, B. D. Deshmukh, Nilay N Khobragade

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  8. Alternative possibilities for application of foamed silicate materials

    Bulgarian Portal for Open Science · 2021-01-01

    Lуubеn Lаkov, Bojidar Jivov, Yonka Ivanova, Stancho I. Yordanov, Krasimira Toncheva

    Read original paper ↗ ·
  9. Fuzzy Assessment of Corrosion Risks

    Advances in intelligent systems and computing · 2021-01-01

    H. G. Ismayilova, F. B. Ismayilova, Elman Kh. Iskandarov, S. G. Hajizade

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  10. Fuzzy Assessment of Technological Risks in the Main Oil Pipeline

    Advances in intelligent systems and computing · 2021-01-01

    H. G. Ismayilova, Зівар І. Фарзалізаде, Javida Damirova, Y. Z. Alakbarov, Mansur Shahlarli

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  11. Synthesis of Optimal Technological Parameters of “Iron-Cast-Glass” Grinding Composite Materials Using Fuzzy Logic and Big Data Concepts

    Advances in intelligent systems and computing · 2021-01-01

    T. G. Jabbarov, Nurlan Gurbanov

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  12. Application of ANFIS to Predict Adhesive Wear Rate in Different Fiber-Reinforced HDPE Matrix Composite Materials

    Lecture notes in networks and systems · 2022-01-01

    Mustafa Babanli, Kamala Ismayilova

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  13. The Use of Fuzzy IF-THEN Rules for Modeling Relationship Between Steel Alloy Composition and Its Characteristics

    Lecture notes in networks and systems · 2024-01-01

    T. G. Jabbarov

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  14. An interpretable predictive framework based on rules and machine learning: rule extraction, validation and adaptive integration with machine learning

    Research Square · 2024-11-25

    Huiran Zhang, Mengmeng Dai, Yudian Lin, Pin Wu, Lei Huang, Huanyu Xu, Shengzhou Li, Xu Yan, Zheng Tang, Jinchang Zhang, Renchao Che, Tao Xu, Dongbo Dai

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  15. The role of artificial intelligence and the internet of things in chitosan synthesis and electrochemical sensors applications: A brief overview

    Sensing and Bio-Sensing Research · 2026-01-31

    Yohan, Irkham, Irwan Kurnia, Natasha Fransisca, Adisyahputra, Yeni Wahyuni Hartati

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  16. Investigation of the Composition–Phase-Transformation Temperature Relationship in the NiTi-Based Alloys Using Machine Learning

    Progress in Physics of Metals · 2026-06-01

    N.A. Gurbanov, Ch.A. Imamalizade, L.A. Gardashova, M.M. Yaşar, and A.H. Guliyev

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