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Based on stochastic medium theory, a series of solutions for subsidence calculations in different geological and extraction conditions have been obtained in China and Japan.
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The characteristics of our baseline epidemics were consistent with other simulations based on stochastic individual-based models, specifically [7] [11].
This algorithm utilises a probabilistic model based on stochastic context free grammar and secondary structure-based filtering systems (SCFG).
NORMA is based on stochastic gradient descent.
Reliability analysis is based on stochastic discrete event models like stochastic Petri nets.
Our mechanism is based on stochastic datagram relocation.
The algorithm is developed based on stochastic finite-element method.
KF technique makes predictions based on stochastic and dynamic structures.
The solution method is based on stochastic successive linear programming.
Computational models, routinely based on stochastic optimization, support these decisions.
The solution is based on stochastic crossing theory, using the upcrossing rate approach for nonstationary stochastic processes.
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