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In summary, the 13 datasets demonstrate a great number of diversities in terms of characteristics.
Here, we formalize controllability in terms of characteristics of prior distributions over affectively charged environments.
Then functional requirements and design parameters are classified and formalized in terms of characteristics set.
This paper aims to analyze and compare various methods of solar photovoltaic power forecasting in terms of characteristics and performance.
Though covalent procedures are not highly diverse yet, the end products vary exceedingly in terms of characteristics depending upon the incorporated species.
Symmetrical experimental designs (three-level factorial, Box Behnken, central composite, and Doehlert designs) are compared in terms of characteristics and efficiency.
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For classification of hyperbolic equations, it is convenient to define integrability in terms of characteristic rings.
Afterwards, the group dynamics is analyzed in terms of characteristic polynomial of the controlled system.
Finally, in some instances the estimation problem can only be formulated in terms of characteristic functions.
Previous trajectorial fluctuation limits for these models were known only in terms of characteristic functionals.
The deterministic models express design load and design resistance in terms of characteristic values and partial safety factors.
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