Khusniddin R. Ruzimboev

5 ta ish

Urgench State University,Dept. Computer Sciences,Urgench,Uzbekistan

1. A Comparative Study of VGG-19 and a Custom CNN for Binary EEG-State Classification Using Composite Time-Frequency Imaging

   Khusniddin R. Ruzimboev, Ikhtiyor D. Avezmatov, Boburjon I. Shermatov

   MaqolaEEG and Brain-Computer Interfaces20252 iqtibos

   ABIABI:AkademIndex/openalex/2025.article.002852

2. A Neuro-Symbolic, Multi-Modal Architecture for Advancing Adaptive Intelligent Tutoring Systems

   Khusniddin R. Ruzimboev, Ikhtiyor Avezmatov, Abdulaziz Xo‘jamqulov

   MaqolaIntelligent Tutoring Systems and Adaptive Learning20250 iqtibos

   ABIABI:AkademIndex/openalex/2025.article.002621

3. Information-Measuring Approach to Multimodal Educational Content Quality via Neuro-Symbolic AI

   Khusniddin R. Ruzimboev, Ikhtiyor Avezmatov, Abdulaziz Xo‘jamqulov +1

   MaqolaIntelligent Tutoring Systems and Adaptive Learning20250 iqtibos

   ABIABI:AkademIndex/openalex/2025.article.011181

4. A Hybrid CNN-Transformer Architecture for Vision-Based EEG State Classification

   Khusniddin R. Ruzimboev, Saidmukhammadjon Babayev, Abdulaziz Xo‘jamqulov +1

   MaqolaEEG and Brain-Computer Interfaces20250 iqtibos

   ABIABI:AkademIndex/openalex/2025.article.011220

5. A Review of Neuro-Symbolic, Multi-Modal Intelligent Tutoring Systems for Advancing Adaptive and Personalized Learning

   Khusniddin R. Ruzimboev, Ikhtiyor D. Avezmatov, Boburjon I. Shermatov

   MaqolaIntelligent Tutoring Systems and Adaptive Learning20250 iqtibos

   ABIABI:AkademIndex/openalex/2025.article.012203