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The paper reports an empirical model of impact velocity and energy input and discusses the advantages and limitations of this model.
This paper describes a learning system that makes a large part of the concept description language an explicit input, and discusses some of the possible applications of providing this additional input.
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It discusses the input and start point of designs, the outcome and results of designs, transformation of data, generation of new ideas, problem solving and decision making, satisfying and discovering constraints, evolution, and optimization in a solution space of diversity.
Results and discussions discusses the empirical findings.
Section Overview summarises our robustness indicators and discusses the minimal required inputs.
This chapter also discusses some basic input and output parameters, such as voltage, current, fuse, waveform distortion, and frequency.
In addition, the paper discusses the choice of input and internal network parameters which were examined to obtain the optimum model.
Section 6 concludes and discusses policy implications.
Section 5 shows and discusses the results.
Section 4 presents and discusses the results.
He acknowledges courtroom defeats and discusses them.
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