Работы, цитирующие эту работу

Работ: 2

Работа: 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

   СтатьяForecasting Techniques and ApplicationsProcesses2026Цитирований: 1

   ABIABI:AkademIndex/openalex/2026.article.000168

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

   Khamza Eshankulov, Kudratjon Zohirov, Ilkhom Bakaev +4

   СтатьяBig Data and Business IntelligenceInformation2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.005727