نتایج جستجو برای: static and dynamic noisy data
تعداد نتایج: 17098807 فیلتر نتایج به سال:
this study was conducted to investigate the impact of portfolio assessment as a process-oriented assessment mechanism on iranian efl students’ english writing and its subskills of focus, elaboration, organization, conventions, and vocabulary. out of ninety juniors majoring in english literature and translation at the university of isfahan, sixty one of them who were at the same level of writing...
Clustering has gained widespread use, especially for static data. However, the rapid growth of spatio-temporal data from numerous instruments, such as earth-orbiting satellites, has created a need for spatio-temporal clustering methods to extract and monitor dynamic clusters. Dynamic spatiotemporal clustering faces two major challenges: First, the clusters are dynamic and may change in size, sh...
load modeling is widely used in power system studies. two types of modeling, namely, static and dynamic, are employed. the current industrial practice is the static modeling. static modelss are algebraic equations of active and reactive power changes in terms of voltage and frequency deviations. in this paper, a component based on static modeling is employed in which the aggregate model is deri...
Introduction and purpose:The efficiency of the processes involved in maintaining balance and gait, especially the nervous system, decreases due to changes in various systems of the body such as the sensory system of visual, vestibular and proprioceptive systems. The current study was conducted to analyze the effect of the combination and Pilates exercise programs on static and dynamic balance i...
this ethnographic case study research was carried out in a private school setting in the context of iran. the research tried to explore the analysis and identity construction of a group of learners and teachers along with the content analysis of books on the basis of four types of commodified, political, national and narrative identities. how english language learners and teachers in an informa...
introduction: the accuracy of analyzing functional mri (fmri) data is usually decreases in the presence of noise and artifact sources. a common solution in for analyzing fmri data having high noise is to use suitable preprocessing methods with the aim of data denoising. some effects of preprocessing methods on the parametric methods such as general linear model (glm) have previously been evalua...
Convolutional neural network is one of the effective methods for classifying images that performs learning using convolutional, pooling and fully-connected layers. All kinds of noise disrupt the operation of this network. Noise images reduce classification accuracy and increase convolutional neural network training time. Noise is an unwanted signal that destroys the original signal. Noise chang...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید