نتایج جستجو برای: minerals field recognition
تعداد نتایج: 1042533 فیلتر نتایج به سال:
According to the studies carried out in recent years, determination of the regional proposal is one of the crucial steps in detection and recognition of the objects included in an image. In fact, determination of this region has been like a bottleneck, gaining a significant computational energy. As a result, selection of suitable and fast approaches, under these circumstance, may enhance the pe...
abstract lexical knowledge of complex english words is an important part of language skills and crucial for fluent language use (nation, 2001). the present study, thus, was an attempt to assess the role of morphological decomposition awareness as a vocabulary learning strategy on learners’ productive and receptive recall and recognition of complex english words. so 90 sophomores (female and ma...
How to effectively carry out mineral sorting while reducing environmental pollution and waste of resources is a problem that constantly explored by researchers engaged in sorting. Centrifugal reselection one the main important technologies This paper focuses on research status development trend centrifugal technology field minerals at home abroad, points direction technology, provides reference...
Noghan granitoid intrusion is located at the NW of Boin- Miandasht and lies in the Sanandaj-Sirjan structural zone (SSZ). Based on field evidence and petrographic studies, the pluton is considered as two-mica granite that has been strongly affected by deformation and shows a good mylonitic foliation study area. The main minerals in the pluton are quartz, alkali feldspar (microcline and perthite...
The prebiotic significance of laboratory experiments that study the interactions between oligomeric RNA and mineral species is difficult to know. Natural exemplars of specific minerals can differ widely depending on their provenance. While laboratory-generated samples of synthetic minerals can have controlled compositions, they are often viewed as "unnatural". Here, we show how trends in the in...
We use Latent-Dynamic Conditional Random Fields to perform skeleton-based pointing gesture classification at each time instance of a video sequence, where we achieve a frame-wise pointing accuracy of roughly 83%. Subsequently, we determine continuous time sequences of arbitrary length that form individual pointing gestures and this way reliably detect pointing gestures at a false positive detec...
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