Exact(4)
But the competition for the city centre was won by the Tokyo office of Kenzo Tange, who was then much feted for his Hiroshima Peace Museum and a wildly ambitious plan for Tokyo Bay. Tange's planning was influenced by metabolism, a Japanese movement for a form of architecture that would be adaptable, fast, ultra-modern and ultra-urban.
Certainly, they have diverse backgrounds and wide-ranging skill sets, but as a group these spouses are united by a shared military community experience that lends itself to building independent, adaptable fast learners.
Masson pine (Pinus massoniana) is one of the most important timber species with adaptable, fast growing, versatile advantages in southern China [ 15].
Masson pine (Pinus massoniana) is one of the most important timber species with adaptable, fast growing, versatile advantages in southern China.
Similar(53)
MapQuest said today the Mapbox partnership would be used to bring "fully adaptable, fast-loading, and responsive maps" to MapQuest.
Environment-Adaptable Fast optimization.
In order to utilize the large-scale RF-FPGA for cognitive radio, our research focused on developing an efficient algorithm, called Environment-Adaptable Fast Multi-Resolution (EAF-MR) method.
Thus, a fast optimization algorithm called Environment-Adaptable Fast (EAF) optimization was proposed for speeding up the optimization of a reconfigurable RF front-end in a dynamic spectrum environment [9].
Using the estimated results, the SINR formula was calculated and used for the Environment-Adaptable Fast Multi-Resolution (EAF-MR) optimization, which was designed by applying the EAF optimization to multi-resolution optimization.
Solving the defined optimization problem, we introduce the Environment-Adaptable Fast Multi-Resolution (EAF-MR) optimization designed for a large-scale RF-FPGA to adapt to the dynamic conditions in communication.
In order to efficiently find an optimal configuration, Environment-Adaptable Fast (EAF) optimization utilizes calculated signal-to-interference-and-noise ratio (SINR) and narrows down the searching space (Jun et al., Environment-adaptable efficient optimization for programming of reconfigurable Radio Frequency (RF) receivers, 2014).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com