Ulugbek Mamanazarov

4 ta ish

Department of Information Technologies and Automation of Technological Processes and Production, Almalyk Branch of the National University of Science and Technology MISIS, Almalyk 110100, Uzbekistan

1. Hybrid Cloud-Based Information and Control System Using LSTM-DNN Neural Networks for Optimization of Metallurgical Production

   Kuldashbay Avazov, Jasur Sevinov, Temerbekova Barnokhon Maratovna +4

   MaqolaIndustrial Vision Systems and Defect DetectionProcesses20252 iqtibos

   ABIABI:AkademIndex/openalex/2025.article.001289

2. Noise Immunity Criterion for the Development of a Complex Automated Technological Process

   Shukhrat Gulyamov, Barnokhon Temerbekova, Ulugbek Mamanazarov

   MaqolaIndustrial Engineering and TechnologiesE3S Web of Conferences20232 iqtibos

   ABIABI:AkademIndex/openalex/2026.other.332809

3. Hybrid LSTM–DNN Architecture with Low-Discrepancy Hypercube Sampling for Adaptive Forecasting and Data Reliability Control in Metallurgical Information-Control Systems

   Jasur Sevinov, Barnokhon Temerbekova, Gulnora Bekimbetova +2

   MaqolaForecasting Techniques and ApplicationsProcesses20261 iqtibos

   ABIABI:AkademIndex/openalex/2026.article.000168

4. Hybrid neural network architecture based on Long Short-Term Memory and Deep Neural Network with probabilistic robustness criterion and low-variance sensing for predictive control of dynamic processes

   Barnokhon Temerbekova, Gulnora Bekimbetova, Ulugbek Mamanazarov +1

   PreprintAdvanced Control Systems OptimizationSSRN Electronic Journal20250 iqtibos

   ABIABI:AkademIndex/openalex/2025.preprint.000309