Results 11 to 20 of about 19,549,248 (348)
Frontiers in Energy Research, 2021 Monte Carlo (MC) methods have been widely used to solve the particle transport equation due to their high accuracy and capability of processing complex geometries.
Donghui Ma +5 more
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Scientific Reports, 2021 Partial differential equations (PDEs) are ubiquitous in natural science and engineering problems. Traditional discrete methods for solving PDEs are usually time-consuming and labor-intensive due to the need for tedious mesh generation and numerical ...
Xinhai Chen +4 more
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UGAN: Unified Generative Adversarial Networks for Multidirectional Text Style Transfer
IEEE Access, 2020 Recently, text style transfer has become a very hot research topic in the field of natural language processing. However, the conventional text style transfer is unidirectional, and it is not possible to obtain a model with multidirectional ...
Wei Yu +5 more
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An Adversarial Feature Distillation Method for Audio Classification
IEEE Access, 2019 The audio classification task aims to discriminate between different audio signal types. In this task, deep neural networks have achieved better performance than the traditional shallow architecture-based machine-learning method.
Liang Gao +5 more
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GBCNN: A Full GPU-Based Batch Multi-Task Cascaded Convolutional Networks
IEEE Access, 2019 Recently, the face detection and alignment is so popular and widely used in many research and application fields. Many superior face detection algorithms such as multi-task cascade convolutional network have been presented.
Shijie Li +4 more
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A Role Based Framework for Robot Sensor Management
ITM Web of Conferences, 2017 Sensors play an important role in the execution of robot tasks as an important component of understanding the world. In this paper, we propose a role-based sensor management framework on ROS (Robot Operating System), in which the role is a set of ...
Wang Ran +3 more
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An Improved Concatenation Scheme of BCH-Polar Codes With Low-Latency Decoding Architecture
IEEE Access, 2019 Polar codes have drawn much research attention in the last ten years for their capacity-achieving property. However, their conventional successive cancellation decoding method performs not well at a short or moderate length.
Yu Wang +3 more
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A Neural Network-Based Mesh Quality Indicator for Three-Dimensional Cylinder Modelling
Entropy, 2022 Evaluating mesh quality prior to performing the computational fluid dynamics (CFD) simulation is an essential step to ensure the acceptable accuracy of cylinder modelling.
Xinhai Chen +4 more
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Incremental Canonical Correlation Analysis
Applied Sciences, 2020 Canonical correlation analysis (CCA) is a kind of a simple yet effective multiview feature learning technique. In general, it learns separate subspaces for two views by maximizing their correlations.
Hongmin Zhao, Dongting Sun, Zhigang Luo
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An Efficient Scheme for Coupling OpenMC and FLUENT with Adaptive Load Balancing
Science and Technology of Nuclear Installations, 2021 This paper develops a multi-physics interface code MC-FLUENT to couple the Monte Carlo code OpenMC with the commercial computational fluid dynamics code ANSYS FLUENT.
Qingyang Zhang +7 more
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