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Machine Learning and ELM

Работ: 23

  1. Efficient image classification through collaborative knowledge distillation: A novel AlexNet modification approach

    Avazov Kuldashboy, Sabina Umirzakova, Sharofiddin Allaberdiev +3

    СтатьяAdvanced Neural Network ApplicationsHeliyon2024Цитирований: 11
    ABI

  2. Stable Iterative Neural Network Training Algorithms Based on the Extreme Method

    N. R. Yusupbekov, H. Z. Igamberdiev, O. O. Zaripov +1

    ГлаваNeural Networks and ApplicationsAdvances in intelligent systems and computing2021Цитирований: 7
    ABI

  3. APPROACH TO THE SYNTHESIS OF NEURAL NETWORK STRUCTURE DURING CLASSIFICATION

    Avazjon Marakhimov, Kabul Khudaybergenov

    СтатьяNeural Networks and ApplicationsInternational Journal of Computing2020Цитирований: 6
    ABI

  4. Dependence of Resistance Switching Voltage on the Potential Barrier in ZnO Thin Films

    Vadim Sh. Yalishev, Sh. U. Yuldashev, Bae Ho Park +2

    СтатьяAdvanced Memory and Neural ComputingAIP conference proceedings2011Цитирований: 0
    ABI

  5. Oak Leaf Classification: An Analysis of Features and Classifiers

    Heysem Kaya, Ilhan Keklik, Tolga Ensarı +2

    СтатьяSpectroscopy and Chemometric Analyses2019Цитирований: 0
    ABI

  6. On the Effectiveness of Image Rotation for Open Set Domain Adaptation

    Silvia Bucci, Mohammad Reza Loghmani, Tatiana Tommasi

    ПрепринтDomain Adaptation and Few-Shot LearningLecture notes in computer science2020Цитирований: 0
    ABI

  7. Mask region-based convolutional neural network and VGG-16 inspired brain tumor segmentation

    Niha Kamal Basha, Christo Ananth, N. Muthukumaran +3

    СтатьяBrain Tumor Detection and ClassificationScientific Reports2024Цитирований: 0
    ABI

  8. The Application of Artificial Intelligence and Machine Learning Technologies in Materials Science

    Akbarjon Baymirzaev, Begijon Tojiboev, Abdujalol Bektemirov +3

    СтатьяMachine Learning in Materials Science2024Цитирований: 0
    ABI

  9. Automatic smart brain tumor classification and prediction system using deep learning

    Qurat Ul Ain Ishfaq, Rozi Bibi, Abid Ali +5

    СтатьяBrain Tumor Detection and ClassificationScientific Reports2025Цитирований: 0
    ABI

  10. Salp Navigation and Competitive based Parrot Optimizer (SNCPO) for efficient extreme learning machine training and global numerical optimization

    Oluwatayomi Rereloluwa Adegboye, Afi Kekeli Feda, Ghanshyam G. Tejani +3

    СтатьяMachine Learning and ELMScientific Reports2025Цитирований: 0
    ABI

  11. Lightweight Dual-Stream IDS: Feature-Pruned CNN-LSTM with Fast Random-Learning Aquila Optimisation

    Priya Nandihal, Anorgul Ashirova, Ravshan Sultanov +3

    СтатьяAdvanced Neural Network Applications2025Цитирований: 0
    ABI

  12. Quantum-Enhanced AI for Predictive Analytics in Manufacturing

    Priti Sharma, Surendra Kumar, Mohammed H. Fallah +4

    СтатьяQuantum Computing Algorithms and Architecture2025Цитирований: 0
    ABI

  13. Improved Mathematical Hybrid Deep Learning Methods for Blood Cell Image Recognition on Embedded Platforms

    Sayyora Iskandarova, Ayhan Istanbullu, Sanjar Omonov +3

    СтатьяDigital Imaging for Blood Diseases2025Цитирований: 0
    ABI

  14. Challenges of Application of Invisible Artificial Intelligence Technologies in the Industrial Internet of Things

    Gennady Dik, А. В. Богданов, Aleksandr Dik +4

    ГлаваDigital Transformation in IndustryLecture notes in computer science2025Цитирований: 0
    ABI

  15. Correction and removal of expression of concern: Enhanced electrical and magnetic properties of (Co, Yb) co-doped ZnO memristor for neuromorphic computing

    Noureddine Elboughdiri, Shahid Iqbal, Sherzod Abdullaev +4

    ДругоеAdvanced Memory and Neural ComputingRSC Advances2025Цитирований: 0
    ABI

  16. Fractional Heat Kernel for Semi-Supervised Graph Learning with Small Training Sample Size

    Farid Bozorgnia, Vyacheslav Kungurtsev, Shirali Kadyrov +1

    ПрепринтNeural Networks and ApplicationsSSRN Electronic Journal2025Цитирований: 0
    ABI

  17. Fractional Heat Kernel for Semi-Supervised Graph Learning with Small Training Sample Size

    Farid Bozorgnia, Vyacheslav Kungurtsev, Shirali Kadyrov +1

    ПрепринтNeural Networks and ApplicationsSSRN Electronic Journal2025Цитирований: 0
    ABI

  18. Evaluation of Classical and Ensemble Machine Learning Algorithms in KNN-Based Missing Data Imputation

    Fayzullo Nazarov, Abror Akhatov, Sanjar Kenjaev

    СтатьяMachine Learning and ELM2026Цитирований: 0
    ABI

  19. COMPARATIVE ANALYSIS OF TRANSFORMER-BASED FEATURE EXTRACTION AND CLASSIFIER PERFORMANCE: AN EMPIRICAL STUDY ON IoT-ENABLED INDUSTRIAL SYSTEMS

    Khusniddin Ruzimboev

    СтатьяIoT and Edge/Fog ComputingTowards a new economy pedagogy and technology2026Цитирований: 0
    ABI

  20. COMPARATIVE ANALYSIS OF TRANSFORMER-BASED FEATURE EXTRACTION AND CLASSIFIER PERFORMANCE: AN EMPIRICAL STUDY ON IoT-ENABLED INDUSTRIAL SYSTEMS

    Ruzimboev Khusniddin Rakhimberganovich

    СтатьяAdvanced Technologies in Various FieldsZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  21. COMPARATIVE ANALYSIS OF TRANSFORMER-BASED FEATURE EXTRACTION AND CLASSIFIER PERFORMANCE: AN EMPIRICAL STUDY ON IoT-ENABLED INDUSTRIAL SYSTEMS

    Ruzimboev Khusniddin Rakhimberganovich

    СтатьяAdvanced Technologies in Various FieldsZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  22. A Novel Financial Market Prediction Framework Based on Deep Learning for Accurate Trend Forecasting

    Priya Shirley Muller, Yadala Sucharitha, Shilpa Kottapally +3

    ГлаваStock Market Forecasting MethodsLecture notes in networks and systems2026Цитирований: 0
    ABI

  23. High Probability Convergence Bounds for Non-convex Stochastic Gradient Descent with Sub-Weibull Noise

    Makhamadamin Abrolbekov

    ПрепринтStochastic Gradient Optimization TechniquesSSRN Electronic Journal2026Цитирований: 0
    ABI