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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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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DD-MIC(O) preconditioning of rotated trilinear FEM elasticity systems
Computer Assisted Methods in Engineering and Science, 2023 New results about preconditioning of rotated trilinear nonconforming FEM elasticity systems in the case of mesh anisotropy are presented. The solver of the arising linear system is based on the constructed efficient preconditioner of the coupled ...
I. Georgiev, S. Margenov
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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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Efficient MIMO Preprocessor With Sorting-Relaxed QR Decomposition and Modified Greedy LLL Algorithm
IEEE Access, 2020 This paper proposes a high-efficient preprocessing algorithm for 16 × 16 MIMO detections. The proposed algorithm combines a sorting-relaxed QR decomposition (SRQRD) and a modified greedy LLL (MGLLL) algorithm.
Lirui Chen +3 more
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Transfer learning for deep neural network-based partial differential equations solving
Advances in Aerodynamics, 2021 Deep neural networks (DNNs) have recently shown great potential in solving partial differential equations (PDEs). The success of neural network-based surrogate models is attributed to their ability to learn a rich set of solution-related features ...
Xinhai Chen +7 more
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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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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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, 2010 The development of parallel-processing image-analysis codes is generally a challenging task that requires complicated choreography of interprocessor communications.
Mighell, Kenneth John
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URL Recommender using Parallel Processing [PDF]
, 2011 The main purpose of this project is to section similar news and articles from a vast variety of news articles. Let’s say, you want to read about latest news related to particular topic like sports.
Penta, Ravi Kishore
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