Sevinov, J.; Temerbekova, B.; Bekimbetova, G.; Mamanazarov, U.; Bekimbetov, B.
Hybrid LSTM–DNN Architecture with Low-Discrepancy Hypercube Sampling for Adaptive Forecasting and Data Reliability Control in Metallurgical Information-Control Systems. Processes 2026, 14, 147.
https://doi.org/10.3390/pr14010147
AMA Style
Sevinov J, Temerbekova B, Bekimbetova G, Mamanazarov U, Bekimbetov B.
Hybrid LSTM–DNN Architecture with Low-Discrepancy Hypercube Sampling for Adaptive Forecasting and Data Reliability Control in Metallurgical Information-Control Systems. Processes. 2026; 14(1):147.
https://doi.org/10.3390/pr14010147
Chicago/Turabian Style
Sevinov, Jasur, Barnokhon Temerbekova, Gulnora Bekimbetova, Ulugbek Mamanazarov, and Bakhodir Bekimbetov.
2026. "Hybrid LSTM–DNN Architecture with Low-Discrepancy Hypercube Sampling for Adaptive Forecasting and Data Reliability Control in Metallurgical Information-Control Systems" Processes 14, no. 1: 147.
https://doi.org/10.3390/pr14010147
APA Style
Sevinov, J., Temerbekova, B., Bekimbetova, G., Mamanazarov, U., & Bekimbetov, B.
(2026). Hybrid LSTM–DNN Architecture with Low-Discrepancy Hypercube Sampling for Adaptive Forecasting and Data Reliability Control in Metallurgical Information-Control Systems. Processes, 14(1), 147.
https://doi.org/10.3390/pr14010147