Search Results - "Dai, Jingguo"

PDCNN-MRW: a parallel Winograd convolutional neural network algorithm base on MapReduce by Wen, Zhanqing, Mao, Yimin, Dai, Jingguo

“…Parallel deep convolutional neural network (DCNN) algorithms have been widely used in the field of big data, but there are still some problems: excessive…”
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Fast Surface Reconstruction Technique Based on Anderson Accelerated I-PIA Method by Dai, Jingguo, Yi, Yeqing, Liu, Chengzhi

“…For curve and surface reconstruction, the implicit progressive-iterative approximation (I-PIA) is widely used in many applications because it is efficient in…”
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An improved evolutionary approach-based hybrid algorithm for Bayesian network structure learning in dynamic constrained search space by Dai, Jingguo, Ren, Jia, Du, Wencai, Shikhin, Vladimir, Ma, Jixin

“…Learning Bayesian network (BN) structures from data is a NP-hard problem due to the vastness of the solution space. To address this issue, hybrid approaches…”
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Interval Neutrosophic Reducible Weighted Maclaurin Symmetric Means With Internet of Medical Things (IoMt) Industry Evaluation by Peng, Xindong, Dai, Jingguo

“…The Internet of Medical Things (IoMT) is a global infrastructure composing of plentiful applications and medical devices that are interconnected by ICT. In…”
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Processing missing power data in wireless sensor networks by Liang, Yonglin, Dai, Jingguo

“…The application prospects of wireless sensor networks (WSN) are very broad due to their characteristics of convenience, low cost, accuracy. Wireless sensor…”
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An Improved Bovine Iris Segmentation Method by Luo, Zhongliang, Dai, Jingguo, Jia, Yingbiao, He, Jiazhong

“…In order to improve the performance of bovine iris image segmentation, an improved iris image segmentation algorithm is proposed according to the…”
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Approaches to single-valued neutrosophic MADM based on MABAC, TOPSIS and new similarity measure with score function by Peng, Xindong, Dai, Jingguo

“…In this paper, we initiate a new axiomatic definition of single-valued neutrosophic distance measure and similarity measure, which is expressed by…”
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Approaches to Pythagorean Fuzzy Stochastic Multi‐criteria Decision Making Based on Prospect Theory and Regret Theory with New Distance Measure and Score Function by Peng, Xindong, Dai, Jingguo

“…In this paper, we initiate a new axiomatic definition of Pythagorean fuzzy distance measure, which is expressed by Pythagorean fuzzy number that will reduce…”
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A bibliometric analysis of neutrosophic set: two decades review from 1998 to 2017 by Peng, Xindong, Dai, Jingguo

“…Neutrosophic set, initiated by Smarandache, is a novel tool to deal with vagueness considering the truth-membership T , indeterminacy-membership I and…”
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Research on the assessment of classroom teaching quality with q‐rung orthopair fuzzy information based on multiparametric similarity measure and combinative distance‐based assessment by Peng, Xindong, Dai, Jingguo

“…The assessment of classroom teaching quality is critically important for producing a positive incentive and guidance role to improve service and management of…”
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A Secure Scheme of Continuity Based on Two-Dimensional Backward Hash Key Chains for Sensor Networks by Li, Sujun, Zhou, Boqing, Dai, Jingguo, Sun, Xingming

“…In this letter, we propose a continuous secure scheme based on two-dimensional backward hash key chains. Through detailed analysis, we show that our scheme…”
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Exponential operation and aggregation operator for q‐rung orthopair fuzzy set and their decision‐making method with a new score function by Peng, Xindong, Dai, Jingguo, Garg, Harish

“…q‐Rung orthopair fuzzy set (q‐ROFS) is a powerful tool that attracts the attention of many scholars in dealing with uncertainty and vagueness. The aim of paper…”
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Decentralized cooperative tracking strategy based on the theory of consistency by Yani, Cui, Jia, Ren, Dan, Chen, Jingguo, Dai

“…This paper proposes a decentralized cooperative tracking strategy based on the theory of consistency for multiple unmanned aerial vehicles (UAVs) cooperative…”
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Decomposition-based Bayesian network structure learning algorithm using local topology information by Dai, Jingguo, Ren, Jia, Du, Wencai

“…Hybrid learning algorithms which integrate the merits of the constraint-based methods and the search-and-score methods are used to cope with Bayesian network…”
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Research on the assessment of project-driven immersion teaching in extreme programming with neutrosophic linguistic information by Peng, Xindong, Dai, Jingguo, Smarandache, Florentin

“…The assessment of project-driven immersion teaching in extreme programming is quite vital for reducing the workload of pre-implementation documents, enabling…”
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Approaches to Pythagorean Fuzzy Stochastic Multi-criteria Decision Making Based on Prospect Theory and Regret Theory with New Distance Measure and Score Function: PYTHAGOREAN FUZZY MULTI-CRITERIA DECISION MAKING by Peng, Xindong, Dai, Jingguo

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Processing missing power data in wireless sensor networks/Obrada nedostajucih podataka o energiji u bezicnim senzorskim mrezama by Liang, Yonglin, Dai, Jingguo

“…The application prospects of wireless sensor networks (WSN) are very broad due to their characteristics of convenience, low cost, accuracy. Wireless sensor…”
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Individualized Brain Parcellation Using Multimodal Fusion and Graph Convolution Networks by Zhang, Jing, Dai, Jingguo, Wang, Zhichao, Liu, Shengfeng, Qian, Haotian, Zhao, Botao, Zhang, Yu

“…Precision mapping of individual human brains is challenging due to large inter-subject variability in brain anatomy, connectivity, and function. Current…”
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A Secure Scheme Based on One-Way Associated Key Management Model in Wireless Sensor Networks by Li, Sujun, Zhou, Boqing, Hu, Qinqin, Wang, Jianxin, Dai, Jingguo, Wang, Weiping, Yuan, Huiyong, Cheng, Yun, Wu, Jie

“…To achieve security in wireless sensor networks (WSNs), it is important to be able to encrypt messages sent among sensor nodes by using shared keys between…”
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An approximation algorithm for connected dominating set in wireless ad hoc network by Wang, Na, Dai, Jingguo, Li, Dan, Li, Minsong

“…The dominating set problem in graphs asks for a minimum size subset of nodes with the following property: each node is required to either to be in the…”
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