Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Abolghasem Daeichian"'
Autor:
Abolghasem Daeichian
Publikováno v:
IEEE Transactions on Automatic Control. :1-6
Publikováno v:
Chemical Engineering Research and Design. 184:554-565
Publikováno v:
Applied Physics B. 129
Publikováno v:
The European Physical Journal Plus. 137
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 620:128749
Publikováno v:
Chemical Product and Process Modeling. 17:655-667
Lime is a significant material in many industrial processes, including steelmaking by blast furnace. Lime production through rotary kilns is a standard method in industries, yet it has depreciation, high energy consumption, and environmental pollutio
Publikováno v:
International Journal of Electrical Power & Energy Systems. 147:108789
Publikováno v:
The European Physical Journal Plus. 137
Publikováno v:
Chemical Engineering Research and Design. 156:263-272
This paper introduces a Nonlinear Auto-Regressive eXogenous Artificial Neural Network (NARX-ANN) model for prediction of spreading dynamics. 1220 experimental data of spreading dynamics of different droplets on various substrates have been collected
Autor:
Abolghasem Daeichian, Mehdi Mirzaee
Publikováno v:
Physica Scripta. 98:035014
Expanding utilization of entangled states in quantum technologies, such as quantum information, is a motivating force of developing new methods for enhancement and stabilization of quantum entanglement. This study focuses on using asymmetric lawsto c