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Metabolic work-up is considered essential as a base for optimal design and follow-up of effective recurrence prevention.
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In this paper, a novel Combinatorial Discrete and Continuous Action Reinforcement Learning Automata (CDCARLA) based approach for optimal design of multimachine power system stabilizers (PSSs) is presented.
This paper presents a special rule base extraction analysis for optimal design of an integrated neural-fuzzy process controller using an "impact assessment approach".
This work introduces a strategy for optimal design of distillation systems based on continuous optimization.
Methods and software tools for optimal design in nonlinear mixed effect models, based on the Fisher information matrix, have been developed for a decade.
The conclusions can provide references for optimal design of NEMSs.
Numerous algorithms have been proposed for optimal design.
It gives a reliable base for the optimal design of 2D photonic crystals.
The results may provide some theoretical bases for the optimal design of solar cogeneration systems.
The results obtained here may offer some theoretical bases for the optimal design of real photovoltaic thermoelectric hybrid power generation systems.
The results obtained here can describe the optimal performance of a four temperature level absorption refrigeration affected simultaneously by the internal and external irreversibilities and provide the theoretical bases for the optimal design and operation of real absorption refrigerators operating between four temperature levels.
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