نتایج جستجو برای: network scale
تعداد نتایج: 1200410 فیلتر نتایج به سال:
Automatic segmentation of brain tumors is an essential but challenging step for extracting quantitative imaging biomarkers accurate tumor detection, diagnosis, prognosis, treatment planning and assessment. Multimodal Brain Tumor Segmentation Challenge 2020 (BraTS 2020) provides a common platform comparing different automatic algorithms on multi-parametric Magnetic Resonance Imaging (mpMRI) in t...
Traffic congestion is a significant problem that adversely affects the economy, environment, and public health in urban areas worldwide. One promising solution to forecast road-level levels short-term long-term, enabling commuters avoid congested allowing traffic agencies take appropriate action. In this study, we propose hybrid deep neural network algorithm based on High-Resolution Network (HR...
the objective of this paper is to develop an artificial neural network (ann) model which can beused to predict temperature rise due to climate change in regional scale. in the present work data recorded overyears 1985-2008 have been used at training and testing steps for ann model. the multilayer perceptron(mlp) network architecture is used for this purpose. three applied optimization methods a...
abstract due to the growing importance and influence of the self of the teacher in the field of educational and cognitive psychology, the current study intended to investigate the relationship between three teacher qualities and characteristics, i.e. teacher self efficacy, self regulation, and success as perceived by their learners. the study aimed at finding whether teacher self efficacy an...
Global warming created by large scale emissions of Greenhouse Gases (GHG) are a worldwide concern. Due to this, the issue of green gas network has required more attention in the last decades. Here, we address the GHG-based problem that arises in a gas network where gas flow is transferred from the Town Board Station (TBS) to consumers by pipeline systems. Given this environment, an optimization...
The extreme eigenvalues of adjacency matrices are important indicators on the influence of topological structures to the collective dynamical behavior of complex networks. Recent findings on the ensemble averageability of the extreme eigenvalue have further authenticated its applicability to the study of network dynamics. However, the ensemble average of extreme eigenvalue has only been solved ...
the study of ngos network function as facilitator in enviropreneurship development in iranian environmental ngos was the main aim of this research that conducted as a casual model method. the statistical sample was 51 environmental ngos in iran that selected randomly. questionnaire research instrument was to measure the studied structures. content validity by panel study confirmed. to determine...
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