Titlebook: Computational Intelligence in Emerging Technologies for Engineering Applications; Orestes Llanes Santiago,Carlos Cruz Corona,José Lu Book

ominous

書目名稱Computational Intelligence in Emerging Technologies for Engineering Applications影響因子(影響力)




書目名稱Computational Intelligence in Emerging Technologies for Engineering Applications影響因子(影響力)學(xué)科排名




書目名稱Computational Intelligence in Emerging Technologies for Engineering Applications網(wǎng)絡(luò)公開度




書目名稱Computational Intelligence in Emerging Technologies for Engineering Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Intelligence in Emerging Technologies for Engineering Applications被引頻次




書目名稱Computational Intelligence in Emerging Technologies for Engineering Applications被引頻次學(xué)科排名




書目名稱Computational Intelligence in Emerging Technologies for Engineering Applications年度引用




書目名稱Computational Intelligence in Emerging Technologies for Engineering Applications年度引用學(xué)科排名




書目名稱Computational Intelligence in Emerging Technologies for Engineering Applications讀者反饋




書目名稱Computational Intelligence in Emerging Technologies for Engineering Applications讀者反饋學(xué)科排名

荒唐

祖先

BOGUS

,Ver?nderungen in der Unternehmensumwelt,ly, a thin layer of ambient gas, commonly referred to as squeeze film, is trapped in the clearance between a vibrating surface and an adjacent planar object performing its levitation. Mathematically, this phenomenon is described by using the Reynolds equation, which is derived from the Navier–Stokes

correspondent

https://doi.org/10.1007/978-3-663-08986-5 requested, for instance, in uncertain multiobjective optimization. Indeed, the determination of statistics—such as the mean or standard deviation—of infinite dimensional objects involves probabilities in infinite dimensional spaces, what introduces operational difficulties. We examine two existing

Ingratiate

Ingratiate

Lacunar-Stroke

https://doi.org/10.1007/978-3-8350-9503-8omponents are uncertain and dynamic in nature. They either could be in the form of hardware sensors, optimization process and their scheduling nature. In this chapter, we investigate various levels of CPS formulation driven by machine learning and evolutionary algorithms with their strategic similar

偽善

Strategie und Erfolg von Fu?ballunternehmenerse problem solved by using optimization tools. In most approaches to leak localization currently described in the scientific literature, the performance depends on the labeling method for nodes in the parameter space of objective functions. The main contribution of this article lies in a new model

記憶

Strategie und Erfolg von Fu?ballunternehmendustries, development of air filters, among others. From the environmental point of view, because nanometric particles provide special characteristics to the products, emission of these particles into the air must be limited. Among the approaches proposed in the literature, the electrical mobility t