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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Robustness Analysis of Floating-Point Programs by Self-Composition
Journal of Applied Mathematics, 2014 Robustness is a key property for critical systems that run in uncertain environments, to ensure that small input perturbations can cause only small output changes.
Liqian Chen +4 more
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A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering
ITM Web of Conferences, 2017 Non-maximum suppression is an important step in many object detection and object counting algorithms. In contrast with the extensive studies of object detection, NMS method has not caused too much attention.
Zhao Xin, Wang Yue-Qing, Dou Yong
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A Polling-Based Traffic-Aware MAC Protocol for Centralized Full-Duplex Wireless Networks
IEEE Access, 2018 Recent advances in self-interference cancellation techniques have enabled in-band full-duplex (IBFD) transmission, which can double ergodic capacity and reduce end-to-end delay.
Song Liu, Biao Han, Wei Peng
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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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Developing a new mesh quality evaluation method based on convolutional neural network
Engineering Applications of Computational Fluid Mechanics, 2020 One of the difficult requirements imposed on high-quality CFD mesh generation has been the ability to evaluate the mesh quality efficiently. Due to the lack of a general and effective evaluating criterion, the current mesh quality evaluation task mainly ...
Xinhai Chen +5 more
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Self-Collaborative Unsupervised Hashing for Large-Scale Image Retrieval
IEEE Access, 2022 Learning based hashing approaches have achieved considerable success in large-scale image retrieval due to the query effectiveness and efficiency. However, most studies highly rely on supervised knowledge like data labels, thus might fail in unsupervised
Hongmin Zhao, Zhigang Luo
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Understanding and Statically Detecting Synchronization Performance Bugs in Distributed Cloud Systems
IEEE Access, 2019 In such an information society, the Internet of Things (IoT) plays an increasingly important role in our daily lives. With such a huge number of deployed IoT devices, Cyber-Physical System (CPS) calls for powerful distributed infrastructures to supply ...
Chen Zhang +3 more
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Ship Detection Using Transfer Learned Single Shot Multi Box Detector
ITM Web of Conferences, 2017 Ship detection in satellite images is a challenging task. In this paper, we introduce a transfer learned Single Shot MultiBox Detector (SSD) for ship detection.
Nie Gu-Hong +4 more
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A Large-Gap Clone Detection Approach Using Sequence Alignment via Dynamic Parameter Optimization
IEEE Access, 2019 Large-gap clones, a kind of clones that reuses code with many edits, are very common in software development practice and widespread in software systems. The detection of such clones is very crucial.
Jinze Liu +4 more
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