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Sanghyuk Lee

16 та иш

School of Computing, New Uzbekistan University, Tashkent, Uzbekistan

  1. Negative Hesitation Fuzzy Sets and Their Application to Pattern Recognition

    Youpeng Yang, Sanghyuk Lee, Haolan Zhang +2

    МақолаFuzzy and Soft Set TheoryIEEE Transactions on Fuzzy Systems20234 иқтибос
    ABI

  2. Time Series Signal Analysis With Information Granulation Based on Permutation Entropy: An Application to Electroencephalography Signals

    Youpeng Yang, Sanghyuk Lee, Haolan Zhang +1

    МақолаNeural Networks and ApplicationsIEEE Transactions on Human-Machine Systems20252 иқтибос
    ABI

  3. Analysis on the Hesitation and its Application to Decision Making

    Youpeng Yang, Sanghyuk Lee, Kyeong Soo Kim +3

    МақолаMulti-Criteria Decision MakingDecision Making Applications in Management and Engineering20242 иқтибос
    ABI

  4. Score Function Design for Decision Making using Conditional Kullback-Leibler Divergence

    Sanghyuk Lee, Eunmi Lee

    МақолаImpact of AI and Big Data on Business and Society20242 иқтибос
    ABI

  5. A Novel Preference Scale Function Based on Poincaré Metric for Decision-Making

    Youpeng Yang, Sanghyuk Lee, Haolan Zhang +2

    МақолаMulti-Criteria Decision Making20231 иқтибос
    ABI

  6. Relation on Hesitation in Intuitionistic Fuzzy Sets and Decision Making

    Sanghyuk Lee, Khumoyun Aminaddinov Ravshanovich, Witold Pedrycz

    МақолаAdvanced Text Analysis Techniques20251 иқтибос
    ABI

  7. A Fusion Model: Toward a Virtual, Physical, and Cognitive Integration and Its Principles

    Haolan Zhang, Yun Xue, Yifan Lu +1

    МақолаHuman-Automation Interaction and SafetyIEEE Consumer Electronics Magazine20230 иқтибос
    ABI

  8. Decision Making for the Intuitionistic Fuzzy Score Function with the KL-Divergence on Multi-criteria

    Sanghyuk Lee, Muzaffar Makhmudov

    БобMulti-Criteria Decision MakingLecture notes in networks and systems20240 иқтибос
    ABI

  9. Advanced techniques for electricity consumption prediction in buildings using comparative correlation analysis, data normalization, and Long Short-Term Memory (LSTM) networks: A case study of a U.S. commercial building

    Moon Keun Kim, Yang‐Seon Kim, Nuodi Fu +4

    МақолаBuilding Energy and Comfort OptimizationEnergy Reports20250 иқтибос
    ABI

  10. Energy-efficient train control considering on-board energy storage based on convex optimization

    Yifeng Ding, Peng Yang, Yaoming Huang +3

    МақолаRailway Systems and Energy EfficiencyInternational Journal of Rail Transportation20250 иқтибос
    ABI

  11. Distance Measures of Negative Hesitation Fuzzy Sets and Their Application to Pattern Recognition

    Youpeng Yang, Haolan Zhang, Sanghyuk Lee +1

    БобMulti-Criteria Decision MakingLecture notes in computer science20250 иқтибос
    ABI

  12. Advanced Techniques for Electricity Consumption Prediction in Buildings Using Comparative Correlation Analysis, Data Normalization, and Long Short-Term Memory (Lstm) Networks: A Case Study of a U.S. Commercial Building

    Moon Keun Kim, Yang‐Seon Kim, Nuodi Fu +4

    ПрепринтEnergy Load and Power ForecastingSSRN Electronic Journal20250 иқтибос
    ABI

  13. Energy Demand Forecasting for Cultural Institutions: Comparative Analysis of ANNs, Ordinary LSTM, and Hybrid CNN-LSTM Models with Three Normalization Techniques Using Weather and Price Data – Case Studies from Norwegian Museums

    Nuodi Fu, Jaehee Lee, Moon Keun Kim +2

    ПрепринтConservation Techniques and StudiesSSRN Electronic Journal20250 иқтибос
    ABI

  14. Inclusion and Preference Analysis in Intuitionistic Fuzzy Sets: Application in Decision-Making

    Sanghyuk Lee, Eunmi Lee, Witold Pedrycz

    МақолаIntuitionistic Fuzzy Systems ApplicationsInternational Journal of Fuzzy Systems20260 иқтибос
    ABI

  15. Dynamic Energy Demand Forecasting in a Norwegian Commercial Store Using Local Building Time-Series Data: CNN-LSTM and Transformer Architectures Compared

    이재희, Nuodi Fu, Moon Keun Kim +3

    ПрепринтEnergy Load and Power ForecastingSSRN Electronic Journal20260 иқтибос
    ABI

  16. A Systematic Review of Comparative Analysis of Machine Learning Models for Predicting Heating Demand and Electricity Usage with Weather Data in Buildings: Two Case Studies in Norway

    Jørgen Norø Sørensen, Jiying Liu, Moon Keun Kim +1

    ПрепринтBuilding Energy and Comfort OptimizationSSRN Electronic Journal20260 иқтибос
    ABI