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检索条件"任意字段=IEEE International Conference on Data Science and Data Intensive Systems"
86242 条 记 录,以下是311-320 订阅
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Towards More Robust and Scalable Deep Learning systems for Medical Image Analysis
Towards More Robust and Scalable Deep Learning Systems for M...
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2024 ieee international conference on Big data, Bigdata 2024
作者: Yenumala, Akshaj Zhang, Xinyue Lo, Dan School of Computer Science Georgia Institute of Technology Atlanta United States Kennesaw State University Department of Computer Science Kennesaw United States
Deep learning (DL) has attracted interest in healthcare for disease diagnosis systems in medical imaging analysis (MedIA) and is especially applicable in Big data environments like federated learning (FL) and edge com... 详细信息
来源: 评论
Research on international Trade Decision Support System Based on Big data  9
Research on International Trade Decision Support System Base...
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9th international conference on Electronic Technology and Information science (ICETIS)
作者: Ma, Xuejun Hankuk Univ Foreign Studies Grad Sch Int & Area Studies Int Trade Seoul 02450 South Korea
Since China's accession to the WTO, import and export trade has developed rapidly. With the development of information technology construction, enterprises have accumulated a large amount of business data. This ar... 详细信息
来源: 评论
An end-to-end algorithm for predicting missing load data based on waveGAIN
An end-to-end algorithm for predicting missing load data bas...
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international Joint conference on Neural Networks (IJCNN)
作者: Zhang, Jiang Zhou, Gang Feng, Yuwei Yang, Sen Wang, Wanlin Mo, Jiaqing Xinjiang Univ Sch Comp Sci & Technol Xinjiang Key Lab Signal Detect & Proc Urumqi 830017 Peoples R China
The accuracy of short-term load forecasting has improved with the development of deep learning on complete datasets. However, load data is often lost due to various complex factors in the power system, causing it is a... 详细信息
来源: 评论
FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding
FedRC: A Rapid-Converged Hierarchical Federated Learning Fra...
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2024 international conference on Intelligent Robots and systems
作者: Kou, Wei-Bin Lin, Qingfeng Tang, Ming Wang, Shuai Zhu, Guangxu Wu, Yik-Chung Univ Hong Kong Dept Elect & Elect Engn Hong Kong Peoples R China Shenzhen Res Inst Big Data Shenzhen Peoples R China Southern Univ Sci & Technol Dept Comp Sci & Engn Shenzhen Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Peoples R China
Street Scene Semantic Understanding (denoted as TriSU) is a crucial but complex task for world-wide distributed autonomous driving (AD) vehicles (e.g., Tesla). Its inference model faces poor generalization issue due t... 详细信息
来源: 评论
Generation Method of Turbine Blade Surface Model Based on Multi-Slice CT data Fusion  5
Generation Method of Turbine Blade Surface Model Based on Mu...
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5th international conference on Information science, Parallel and Distributed systems, ISPDS 2024
作者: Xue, Chaojun Ye, Wenguang Cheng, Yunyong Zhang, Wenmiao Northwestern Polytechnical University School of Mechanical Engineering Xi'an China
This paper proposes a method for generating the surface model of hollow turbine blades based on the fusion of Industrial Computerized Tomography (ICT) multi-directional slice data. Through the Normal Distribution Tran... 详细信息
来源: 评论
A Scheme for Privacy Protection of Medical data Based on Blockchain  4
A Scheme for Privacy Protection of Medical Data Based on Blo...
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4th international conference on Computer science and Blockchain, CCSB 2024
作者: Gao, Jiheng Guan, Jingbo Xu, Jiangfeng School of Computer and Artificial Intelligence Zhengzhou University Zhengzhou China
The exponential growth of medical data presents a significant challenge for modern healthcare systems: how to conduct research and meet other needs while safeguarding patient privacy. This paper proposes a data privac... 详细信息
来源: 评论
Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender systems  23
Review-Incorporated Model-Agnostic Profile Injection Attacks...
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23rd ieee international conference on data Mining (ieee ICDM)
作者: Yang, Shiyi Yao, Lina Wang, Chen Xu, Xiwei Zhu, Liming CSIRO Data61 Sydney NSW Australia UNSW Sydney NSW Australia Macquarie Univ Sydney NSW Australia
Recent studies have shown that recommender systems (RSs) are highly vulnerable to data poisoning attacks. Understanding attack tactics helps improve the robustness of RSs. We intend to develop efficient attack methods... 详细信息
来源: 评论
Real-Time data Fusion for Optimized Emergency Response  21
Real-Time Data Fusion for Optimized Emergency Response
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2024 ieee/ACS 21st international conference on Computer systems and Applications, AICCSA 2024
作者: Gacha, Yassine Abdellatif, Takoua University of Carthage SERCOM Laboratory Carthage1054 Tunisia Science and Technology for Defense Laboratory Military Research Center Aouina 2045 Tunisia ENISo University of Sousse Sousse4002 Tunisia
In this study, we explore a new strategy aimed at enhancing emergency response operations by integrating various data sources, such as IoT devices, drones, crowdsourced information, and real-time weather data. The uni... 详细信息
来源: 评论
Enhancing Neural Network Performance for Medical data Analysis through Feature Engineering  17
Enhancing Neural Network Performance for Medical Data Analys...
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17th international conference on Signal Processing and Communication systems, ICSPCS 2024
作者: Moghadam, Nadieh Honary, Vahraz Khoubrouy, Soudeh University of San Diego United States California State University San Marcos United States
Medical data analysis is crucial for advancing healthcare but is often hindered by the scarcity and high cost of medical data. This paper presents a novel approach to improve neural network performance in medical data... 详细信息
来源: 评论
Harris Hawks Optimization Based Feature Selection on High Dimensional data  2
Harris Hawks Optimization Based Feature Selection on High Di...
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2nd ieee international conference on data science and Network Security, ICDSNS 2024
作者: Jena, Suvendu Kumar Kumar, Gotte Ranjith Al-Fatlawy, Ramy Riad Ali, S.Rasheed Mansoor Aruna, T.M. Indira Gandhi Institute of Technology Department of Computer Science Engineering and Applications Odisha Sarang India School of Computer Science & Artificial Intelligence Sr University Warangal India College of Technical Engineering The Islamic University Department of Computers Techniques Engineering Najaf Iraq Jamal Mohamed College Affiliated to Bharathidasan University Department of Computer Science Tiruchirappalli India Artificial Intelligence and Machine Learning Nitte Meenakshi Institute of Technology Bengaluru India
In recent times, evolutionary algorithms have been demonstrating significant benefits in feature selection due to their simplicity and global search capability. However, most of the existing evolutionary algorithms ar... 详细信息
来源: 评论