Ushbu ishga iqtibos qilgan ishlar

4 ta ish

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

1. 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

   MaqolaOAOchiq kirishForecasting Techniques and ApplicationsProcesses20263 iqtibos

   ABIABI:AkademIndex/2026.article.000168

2. An RL-Enhanced Multi-Agent Framework for Scalable and Intelligent Business Intelligence Systems

   Khamza Eshankulov, Kudratjon Zohirov, Ilkhom Bakaev +4

   MaqolaOAOchiq kirishBig Data and Business IntelligenceInformation20261 iqtibos

   ABIABI:AkademIndex/2026.article.005727

3. Forecast-Augmented Ensemble Control for Greenhouse Microclimate Regulation

   Kuldashbay Avazov, Suban Xusanov, Ibragimov I +4

   MaqolaOAOchiq kirish20260 iqtibos

   ABIABI:AkademIndex/2026.article.036627

4. Construction of the Principle of Adaptive Position-Trajectory Control of Moving Objects (On the Example of a Multi-Link Industrial Robot Manipulator)

   Dildora Sevinova, Temurbek Rakhimov, Orifjon Zaripov +2

   MaqolaOAOchiq kirish20260 iqtibos

   ABIABI:AkademIndex/2026.article.052628