Search Results - "Chen, Zhikui"
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Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning
Published in IEEE transactions on computers (01-05-2016)“…To improve the efficiency of big data feature learning, the paper proposes a privacy preserving deep computation model by offloading the expensive operations…”
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Efficacy and safety of the application of extensive ablation in patients with atrioventricular re-entrant tachycardia (a retrospective study)
Published in Scientific reports (28-06-2021)“…Radiofrequency catheter ablation (RFCA) has become the standard effective therapy for supraventricular tachycardia, but the reported success rates of ablation…”
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Deep Convolutional Computation Model for Feature Learning on Big Data in Internet of Things
Published in IEEE transactions on industrial informatics (01-02-2018)“…Currently, a large number of industrial data, usually referred to big data, are collected from Internet of Things (IoT). Big data are typically heterogeneous,…”
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High-order possibilistic c-means algorithms based on tensor decompositions for big data in IoT
Published in Information fusion (01-01-2018)“…•A CP-HOPCM algorithm based on canonical polyadic decomposition is proposed.•The canonical polyadic decomposition in CP-HOPCM is used to compress the…”
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A Cooperative Quality-Aware Service Access System for Social Internet of Vehicles
Published in IEEE internet of things journal (01-08-2018)“…Because of the enormous potential to guarantee road safety and improve driving experience, social Internet of Vehicle (SIoV) is becoming a hot research topic…”
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An Incremental CFS Algorithm for Clustering Large Data in Industrial Internet of Things
Published in IEEE transactions on industrial informatics (01-06-2017)“…With the rapid advances of sensing technologies and wireless communications, large amounts of dynamic data pertaining to industrial production are being…”
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Unsupervised Multiview Nonnegative Correlated Feature Learning for Data Clustering
Published in IEEE signal processing letters (01-01-2018)“…Multiview data, which provide complementary information for consensus grouping, are very common in real-world applications. However, synthesizing multiple…”
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Privacy-Preserving Double-Projection Deep Computation Model With Crowdsourcing on Cloud for Big Data Feature Learning
Published in IEEE internet of things journal (01-08-2018)“…Recent years have witness a considerable advance of Internet of Things with the tremendous progress of communication theories and sensing technologies. A large…”
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A Tensor-Train Deep Computation Model for Industry Informatics Big Data Feature Learning
Published in IEEE transactions on industrial informatics (01-07-2018)“…The deep computation model has been proved to be effective for big data hierarchical feature and representation learning in the tensor space. However, it…”
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A High-Order Possibilistic C-Means Algorithm for Clustering Incomplete Multimedia Data
Published in IEEE systems journal (01-12-2017)“…Clustering is a commonly used technique for multimedia organization, analysis, and retrieval. However, most multimedia clustering methods are difficult to…”
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Averaged Soft Actor-Critic for Deep Reinforcement Learning
Published in Complexity (New York, N.Y.) (2021)“…With the advent of the era of artificial intelligence, deep reinforcement learning (DRL) has achieved unprecedented success in high-dimensional and large-scale…”
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Ultrasound radiomics model-based nomogram for predicting the risk Stratification of gastrointestinal stromal tumors
Published in Frontiers in oncology (26-08-2022)“…This study aimed to develop and evaluate a nomogram based on an ultrasound radiomics model to predict the risk grade of gastrointestinal stromal tumors…”
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Parallel genetic algorithm for N‐Queens problem based on message passing interface‐compute unified device architecture
Published in Computational intelligence (01-11-2020)“…N‐Queens problem derives three variants: obtaining a specific solution, obtaining a set of solutions and obtaining all solutions. The purpose of the variant I…”
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Parallel Implementations of Candidate Solution Evaluation Algorithm for N-Queens Problem
Published in Complexity (New York, N.Y.) (2021)“…The N-Queens problem plays an important role in academic research and practical application. Heuristic algorithm is often used to solve variant 2 of the…”
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Association between monocyte to high-density lipoprotein cholesterol ratio and telomere length: based on NHANES 1999–2002
Published in BMC cardiovascular disorders (04-11-2024)“…Background Telomere length is closely associated with the occurrence and development of cardiovascular and other diseases. Monocyte to high-density lipoprotein…”
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Incremental multi‐view correlated feature learning based on non‐negative matrix factorisation
Published in IET computer vision (01-12-2021)“…In real‐world applications, large amounts of data from multiple sources come in the form of streams. This makes multi‐view feature learning cost much time when…”
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F-Chain: personalized overall survival prediction based on incremental adaptive indicators and multi-source clinical records
Published in Memetic computing (01-09-2024)“…The abundance of biomarkers across histology, imaging, and clinical endpoints poses a challenge in selecting indicators for personalized clinical decision…”
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A Deep Non-negative Matrix Factorization Model for Big Data Representation Learning
Published in Frontiers in neurorobotics (20-07-2021)“…Nowadays, deep representations have been attracting much attention owing to the great performance in various tasks. However, the interpretability of deep…”
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Two-dimensional shear wave elastography of the pancreas: measurement success rate, repeatability, and factors affecting measurement values
Published in Journal of medical ultrasonics (2001) (01-04-2022)“…Purpose We aimed to evaluate the success rate, repeatability, and factors affecting the measurement values of two-dimensional ultrasonic shear wave…”
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