نتایج جستجو برای: area searched
تعداد نتایج: 622919 فیلتر نتایج به سال:
searching efficiency is a key parameter of functional response which is in turn the major components in the selection of predators and parasitoids for biological control. searching efficiency of scymnus syriacus mulsant feeding on aphis craccivora koch was determined at five different experimental arenas (i.e. 195, 247, 304, 385 and 650 cm2) on broad bean (vicia fabae l.). to do this, functiona...
In order to calculate the tertiary structure of a protein from its amino acid sequence, the thermodynamic approach requires a potential function of sequence and conformation that has its global minimum at the native conformation for many different proteins. Here we study the behavior of such functions for the simplest model system that still has the essential features of the protein folding pro...
Ship classification technology using synthetic aperture radar (SAR) has become a research hotspot. Many deep-learning-based methods have been proposed with handcrafted models or transplanted computer vision networks. However, most of these are designed for graphics processing unit (GPU) platforms, leading to limited scope application. This paper proposes novel mini-size searched convolutional M...
Input-level domain adaptation reduces the burden of a neural encoder without supervision by reducing gap at input level. is widely employed in 2D visual domain, e.g., images and videos, but not utilized for 3D point clouds. We propose use input-level clouds, namely, point-level adaptation. Specifically, we to learn transformation clouds searching best combination operations on that trans...
With the spreading of the Internet, information about our daily life and our residential region is becoming to be more and more active on the WWW (World Wide Web). That’s to say, there are a lot of Web pages, whose content is ’local’ and may only interest residents of a narrow region. The conventional information retrieval systems and search engines, such as Google[1], Yahoo[2], etc., are very ...
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