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621
Evaluation of the volume and function of the right atrial appendage using computed tomography
Published 2025-07-01“…Abstract Objective To assess the volume and function of the right atrial appendage (RAA) in patients with sinus rhythm using 256-slice spiral computed tomography (CT) angiography. Methods A total of 60 patients with normal cardiac CT imaging features were enrolled in this retrospective study. …”
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622
Modeling and Simulations of Retina-Like Three-Dimensional Computational Ghost Imaging
Published 2019-01-01“…R-3DCGI models are developed, and corresponding simulations are conducted to verify and evaluate the accuracy and features of the R-3DCGI. Results show that the models obtain rotation and scaling invariances and compress redundant information, thereby improving imaging efficiency over the traditional computational ghost imaging. …”
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623
Development and application of distributed computing system in inverse problems of fracture mechanics
Published 2017-12-01“…This simplifies the process of the system deployment, and increases the productivity of the computing process. A finite element model with a large set of parameters is calculated. …”
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624
Computer Multimedia Art Pattern Creation Based on P-Filling Algorithm
Published 2021-01-01“…Experimental results show that, through this production model, users can produce a large number of computer multimedia art patterns with hand-drawn style features through very little interaction and parameter control.…”
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625
A malware detection method with function parameters encoding and function dependency modeling
Published 2025-06-01“…Specifically, we first design a parameter encoder to convert various types of function parameters into feature vectors, and then discretize various parameter features through clustering methods to enhance the representation of API encoding. …”
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626
Evaluation and comparison of methods for neuronal parameter optimization using the Neuroptimus software framework.
Published 2024-12-01“…Neuroptimus also offers several features to support more advanced usage, including the ability to run most algorithms in parallel, which allows it to take advantage of high-performance computing architectures. …”
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627
A multiobjective continuation method to compute the regularization path of deep neural networks
Published 2025-03-01“…However, due to the non-smoothness of the ℓ1 norm and the large number of parameters, this approach is not very efficient from a computational perspective. …”
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628
Cephalometric characteristics of autochthonous population in the Republic of Kazakhstan
Published 2013-12-01“…Front and side view photos of 320 Kazakh and Uzbek residents of Kazakhstan were studied by means of photo grammetry and a computer aided program «Harmony». Analysis of 46 cephalometric parameters resulted in the following findings: statistically significant difference between Uzbek and Kazakh males was detected in 39,1 % of the cases, while those among females were noted in 54,3 %, of the cases, i. e. ethnic distinctions were more pronounced in the females. …”
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629
Energy-efficient data routing using neuro-fuzzy based data routing mechanism for IoT-enabled WSNs
Published 2024-12-01Get full text
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630
Vision transformer embedded video anomaly detection using attention driven recurrence
Published 2025-09-01“…Additionally, we incorporate a parameter-efficient recurrent model, the Simple Recurrent Unit Plus Plus (SRU++), which processes long sequential video embeddings efficiently by reducing computational costs by ten times compared to traditional methods. …”
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631
Comparative Analysis of Classifiers for the Assessment of Respiratory Disorders Using Speech Parameters
Published 2023-03-01Get full text
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632
Estimation and Analysis of Sports Energy Consumption Based on Gait Tactile Parameters
Published 2021-01-01“…The combination of expectation-maximization algorithm and MapReduce computing model realizes the migration of traditional algorithm to “cloud computing” platform. …”
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633
Stochastic Movement Swarm Performing a Coverage Task with Physical Parameters
Published 2022-09-01“…The lower the time interval, the more precise results, but simulating the test requires more computing power. Further work should consider the smallest possible time intervals or additional feature to check if the paths of the drones do not cross. …”
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634
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635
Computational modelling reveals neurobiological contributions to static and dynamic functional connectivity patterns
Published 2025-07-01“…We analysed associations between brain-wide sFC and TC features with optimal model parameters and fits with a univariate correlation approach and multivariate prediction models. …”
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636
Composition and Notation of Parameters in Electronic Music: Approximate Reductionist Graphical Notation
Published 2020-07-01“…It attempts to define and explain a different, specific approach, which helps in understanding the technology, its applications and features to meet the problems of present compositions by using specific notation for electronic instruments or computers. …”
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637
Study of kinetic performance effect on wheel and rail wear using computer simulation
Published 2016-06-01“…The study object is a “wheel - rail” system. The subject is the computer simulation of the system elements wear. The work objective is to investigate the wheel and rail wear dependence on the kinetic performance parameters. …”
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638
Walking-Age Estimator Based on Gait Parameters Using Kernel Regression
Published 2025-05-01Get full text
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639
Statistical Analysis of Local Extrema in Rough Sea Surfaces Based on Computer Simulation
Published 2023-11-01“…The laws governing the distributions of local wave extrema in rough seas are in a good agreement with the theoretical GEV approximations, with the distribution parameters being deductible from the key features of the waves. …”
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640
Refined Judgment of Urban Traffic State Based on Machine Learning and Edge Computing
Published 2022-01-01“…This paper aims to study the recognition of urban traffic conditions and refine the recognition through the improvement of edge computing algorithms. This paper proposes a method to calculate traffic flow parameters, preprocess the traffic flow data, delete irrelevant features, use flow theory to delete wrong data, and change the data in time according to actual needs, carrying out refined discrimination and analysis of urban traffic status. …”
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