Suchergebnisse - "convolution algorithm"

A Wigner matrix based convolution algorithm for matrix elements in the LCAO method von Sterling, Tyler C.

“… •Tight binding like two-center integrals (2CI) are fast to calculate but are restricted to low angular momentum.•A multipole expansion of the full crystal …”
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Generalised convolution algorithm for modelling state-dependent systems von Kaliszan, Adam, Głąbowski, Mariusz, Stasiak, Maciej

“… This study proposes a new method for calculations of the blocking probability in multiservice state-dependent systems. In the method proposed in this study the …”
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Comparison of dose distributions in target areas and organs at risk in conformal and VMAT techniques and dose verifications with the use of thermoluminescence dosimetry von Paluch-Ferszt, Monika, Kozłowska, Beata, Dybek, Marcin

“… The aim of the present study is to compare dose distributions and their verification in target areas and organs at risk (OAR) in conformal and volumetric …”
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Convolution algorithm for overflow calculation in integrated services networks von Glabowski, M., Kaliszan, A.

“… The basis for the proposed method is a special convolution algorithm that enables to determine the occupancy distribution and the blocking probability in network systems in which packet streams (calls …”
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Model and Method of Processing Partial Estimates During Intelligent Data Processing Based on Fuzzy Measure von Sahaida, Pavlo

“… of the alternatives have been developed. These models, as well as the classification of convolution algorithms and the measures used, are developed on the basis of an ontological approach to the analysis of the subject area …”
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A novel text sentiment analysis system using improved depthwise separable convolution neural networks von Kong, Xiaoyu, Zhang, Ke

“… classifying texts one-by-one more and more unable to meet the actual needs. In the subject of sentiment analysis, one of the most pressing problems is how to make better …”
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Characterization of Compton-scatter imaging with an analytical simulation method von Jones, Kevin C, Redler, Gage, Templeton, Alistair, Bernard, Damian, Turian, Julius V, Chu, James C H

“… By collimating the photons scattered when a megavoltage therapy beam interacts with the patient, a Compton-scatter image may be formed without the delivery of …”
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APPLE-GO: Modeling high-spatial resolution forest canopy reflectance with effect of Adjacent Pixels using Path Length Extended Geometric Optical theory von He, Qunchao, Yang, Siqi, Peng, Naijie, Fan, Wenjie, Mu, Xihan, Cao, Biao, Zhai, Dechao, Huang, Zhicheng, Ren, Huazhong, Yan, Guangjian

“… analysis at high-resolution scales, as high-resolution pixels are subject to significant radiative influences from adjacent pixels …”
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Clinical application of deep learning-based synthetic CT from real MRI to improve dose planning accuracy in Gamma Knife radiosurgery: a proof of concept study von Park, So Hee, Choi, Dong Min, Jung, In-Ho, Chang, Kyung Won, Kim, Myung Ji, Jung, Hyun Ho, Chang, Jin Woo, Kim, Hwiyoung, Chang, Won Seok

“… In order to plan the dose considering the radiation attenuation, the Convolution algorithm should be used, and additional radiation exposure for computed tomography (CT …”
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Non-parametric Bayesian models of response function in dynamic image sequences von Tichý, Ondřej, Šmídl, Václav

“… •Bayesian blind source separation and deconvolution problem is introduced.•Source dynamics is a result of convolution of unknown input and response …”
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Weighted determination algoritm of boundary pixels von Zaerko, D. V., Lipnitski, V. A.

“… While working with digital noise reduction techniques, which are based on theory of convolution matrix and used convolution operation, it necessary to use …”
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Conservation of pyramidal tract in radiosurgery for brain metastases of lung adenocarcinoma: Three-dimensional analysis of biologically effective dose von Tang, Ke, Zhang, Nan, Yuan, Xiaodong, Qian, Zenghui, Li, Yang, Feng, Xu

“… Gamma knife surgery (GKS) for brain metastases (BMs) adjacent to the pyramidal tract (PT) is still a challenge to conduct. PT visualization and biologically …”
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Subject-specific estimation of aortic blood pressure via system identification: Preliminary in-human experimental study von Fazeli, Nima, Rashedi, Mohammad, Chappell, Alyssa, Shaohua Wang, MacArthur, Roderick, McMurtry, M. Sean, Finegan, Barry, Jin-Oh Hahn

“… measured at upper and lower extremity locations. Then a stable input de-convolution algorithm is used to estimate central aortic blood pressure as unknown common input signal to the parallel tube-load model of cardiovascular system …”
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A computerized method of quantitative analysis of ventricular phase distributions von Fránquiz, J M, García-Barreto, D, Cárdenas, R

“… ). Phase histograms were constructed for each ventricle and their peaks were identified by a convolution algorithm for smoothing and differentiation …”
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Geometrical and dosimetrical uncertainties in hypofractionated radiotherapy of the lung: A review von Schwarz, Marco, Cattaneo, Giovanni Mauro, Marrazzo, Livia

“… •Stereotactic body radiation therapy (SBRT) of lung is a new standard in radiotherapy.•Motion, tissue heterogeneities and small fields are the main technical …”
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Adaptive optics for ophthalmic imaging von Diaz-Santana, L., Gasson, P., Munro, I., Dainty, C.

“… The system uses a Shack-Hartmann wavefront sensor and a DALSA CCD camera. MTF was reconstructed from the images using a Wiener de-convolution algorithm assuming …”
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The sparse cardinal sine decomposition and its application for fast numerical convolution von Alouges, François, Aussal, Matthieu

“… Fast convolution algorithms on unstructured grids have become a well established subject …”
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Emission Tomography of the Beating Heart von Shields, Robert A

“… The programs incorporate a convolution algorithm for modification of projection …”
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Multi-Dimensional Definition of Convolution von Evgeniy Goncharov

“… Convolution is an indispensable operation for solving problems from a variety of subject areas …”
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Многомерно-матричное определение операции свертки von Гончаров, Е.И.

“… Свертка – незаменимая операция для решения задачи из самых разных предметных областей: задач машинного обучения, анализа данных, обработки сигналов, фильтров …”
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