Search Results - "Yongcai Tao"

AI-Powered Radiomics Algorithm Based on Slice Pooling for the Glioma Grading by Zhao, Guohua, Man, Panpan, Bai, Jie, Li, Longfei, Wang, Peipei, Yang, Guan, Shi, Lei, Tao, Yongcai, Lin, Yusong, Cheng, Jingliang

“…In this article, glioma segmentation in the glioma grading computer-aided diagnosis (CAD) system requires manual delineation from radiologists, adding…”
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A Lightweight Sentiment Analysis Framework for a Micro-Intelligent Terminal by Wei, Lin, Wang, Zhenyuan, Xu, Jing, Shi, Yucheng, Wang, Qingxian, Shi, Lei, Tao, Yongcai, Gao, Yufei

“…Sentiment analysis aims to mine polarity features in the text, which can empower intelligent terminals to recognize opinions and further enhance interaction…”
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Identifying and Characterizing the Propagation Scale of COVID-19 Situational Information on Twitter: A Hybrid Text Analytic Approach by Wahid, Junaid, Shi, Lei, Gao, Yufei, Yang, Bei, Tao, Yongcai, Wei, Lin, Hussain, Shabir

“…During the recent pandemic of COVID-19, an increasing amount of information has been propagated on social media. This situational information is valuable for…”
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Topic2features: a novel framework to classify noisy and sparse textual data using LDA topic distributions by Wahid, Junaid Abdul, Shi, Lei, Gao, Yufei, Yang, Bei, Tao, Yongcai, Wei, Lin, Hussain, Shabir

“…In supervised machine learning, specifically in classification tasks, selecting and analyzing the feature vector to achieve better results is one of the most…”
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MPHM: Model poisoning attacks on federal learning using historical information momentum by Shi, Lei, Chen, Zhen, Shi, Yucheng, Wei, Lin, Tao, Yongcai, He, Mengyang, Wang, Qingxian, Zhou, Yuan, Gao, Yufei

“…Federated learning(FL) development has grown increasingly strong with the increased emphasis on data for individuals and industry. Federated learning allows…”
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HS-GS: A method for multicenter MR image standardization by Zhao, Guohua, Bai, Jie, Wang, Peipei, Yang, Guan, Shi, Lei, Tao, Yongcai, Lin, Yusong, Cheng, Jingliang

“…The access to and sharing of medical image data is essential to accelerate the research progress of complex diseases and sudden disease outbreaks. Multicenter…”
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Dependable Grid Workflow Scheduling Based on Resource Availability by Tao, Yongcai, Jin, Hai, Wu, Song, Shi, Xuanhua, Shi, Lei

“…Due to the highly dynamic feature, dependable workflow scheduling is critical in the Grid environment. Various scheduling algorithms have been proposed, but…”
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An Optimistic Checkpoint Mechanism Based on Job Characteristics and Resource Availability for Dynamic Grids by Tao, Yongcai, Jin, Hai, Wu, Song, Shi, Xuanhua

“…In the paper, based on the job characteristics and resources availability, an optimistic checkpoint mechanism for dynamic grids（OCM4G） is proposed. It can…”
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Topic2Labels: A framework to annotate and classify the social media data through LDA topics and deep learning models for crisis response by Wahid, Junaid Abdul, Shi, Lei, Gao, Yufei, Yang, Bei, Wei, Lin, Tao, Yongcai, Hussain, Shabir, Ayoub, Muhammad, Yagoub, Imam

“…The abundant use of social media impacts every aspect of life, including crisis management. Disaster management needs real-time data to be used in machine…”
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Magnetic resonance imaging standardization for accurate grading of cerebral gliomas by Zhao, Guohua, Bai, Jie, Yang, Guan, Shi, Lei, Tao, Yongcai, Cheng, Jingliang, Lin, Yusong

“…Computer-aided diagnosis has attracted attention for the accurate grading of cerebral glioma. Most algorithms are only effective in relatively large datasets…”
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Job Scheduling Optimization for Multi-user MapReduce Clusters by Yongcai Tao, Qing Zhang, Lei Shi, Pinhua Chen

“…A shared MapReduce cluster is beneficial to build data warehouse which can be used by multiple users. FAIR scheduler gives each user the illusion of owning a…”
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Performance analysis of current parallel programming models for many-core systems by Yangjie Cao, Baodong Wu, Yongcai Tao, Lei Shi

“…Recent developments in microprocessor design show a clear trend towards multi-core and many-core architectures. Nowadays, processors consisting of dozens of…”
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How does the recursive undns algorithm affect the accuracy of an IP geolocation system? by Lin Wei, Guoming Ren, Lei Shi, Yongcai Tao, Yangjie Cao

“…IP geolocation services are playing an increasingly important role in Web applications. Landmark-based IP geolocation can gain better IP geolocation…”
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Optimizing Multi-join in Cloud Environment by Yongcai Tao, Mengxue Zhou, Lei Shi, Lin Wei, Yangjie Cao

“…In cloud computing, complex data analysis usually requires accessing multiple data sets. Existing MapReduce-based multi-join mechanism implements the join of…”
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Performance Modeling of Resource Failures in Grid Environments by Yongcai Tao, Song Wu, Lei Shi

“…Grid is susceptible to a number of software and hardware failures, so a deep understanding of and modeling the grid resource failures are a challenge and have…”
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Scalable DHT- and ontology-based information service for large-scale grids by Tao, Yongcai, Jin, Hai, Wu, Song, Shi, Xuanhua

“…Current grid information services are centralized or hierarchical and prove inefficient as the scale of the grid rapidly increases. The introduction of the P2P…”
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GNSD: A Novel Service Discovery Mechanism for Grid Environment by Yongcai Tao, Hai Jin, Xuanhua Shi, Li Qiz

“…Due to the highly distributed and dynamic features, service discovery is a key requirement in grid computing. The paper first introduces the existing service…”
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PBJIM: Plugin-based Job Interoperation Mechanism for Heterogeneous Grid Systems by Song Wu, Yongcai Tao, Zhongqing Xu

“…With the development of grid technology, grid gains more popularity that ever and a variety of grid middlewares come into being. However, most of grid…”
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Hybrid Neural Network Text Classification Combining TCN and GRU by Liu, Yapei, Ma, Jianhong, Tao, Yongcai, Shi, Lei, Wei, Lin, Li, Linna

“…Aiming at the problems of insufficient feature extraction and low classification accuracy in the classification of Chinese news texts by the neural network,…”
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Data poisoning attacks on federated learning by using adversarial samples by Shi, Lei, Chen, Zhen, Shi, Yucheng, Zhao, Guangtao, Wei, Lin, Tao, Yongcai, Gao, Yufei

“…Federated learning has grown increasingly in academia and industry. It has the strong ability to train joint models among numerous parties without local data…”
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