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Digital twin for Industrial Internet. [PDF]
Fundam ResIndustrial Internet upgrades the traditional industrial manufacturing to digitization, networking and intellectualization era, which calls for brand-new technology supports. As a promising solution, the emergence Digital Twin (DT) offers enhanced digital mapping capability with strong feasibility, security, economic and intelligence, which fits well ...
Li Y, Zhang Y.
europepmc +5 more sources
ICLRBBN: a tool for accurate prediction of potential lncRNA disease associations
Molecular Therapy: Nucleic Acids, 2021 Growing evidence has elucidated that long non-coding RNAs (lncRNAs) are involved in a variety of complex diseases in human bodies. In recent years, it has become a hot topic to develop effective computational models to identify potential lncRNA-disease ...
Yuqi Wang +6 more
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INDICS: An Industrial Internet Platform [PDF]
2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2018 The industrial Internet integrates the Internet, big data, artificial intelligence, and the real economy. We introduce China's first industrial Internet platform INDICS - one of the world's first industrial Internet platforms. We present the INDICS system architecture, and examine three successful INDICS application cases.
Chai, X. (Xudong) +4 more
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IEEE Access, 2022 In this paper, a new robust adaptive nonlinear teleoperation system using an improved extended active observer (IEAOB), adaptive Smith predictor (ASP) and sliding mode control is developed to address the time delay in the communication channels and the ...
Linping Chan +3 more
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Acoustic Modeling Based on Deep Learning for Low-Resource Speech Recognition: An Overview
IEEE Access, 2020 The polarization of world languages is becoming more and more obvious. Many languages, mainly endangered languages, are of low-resource attribute due to lack of information.
Chongchong Yu +4 more
doaj +1 more source
Machines, 2022 Under variable working conditions, the tool status signal is affected by changing machine processing parameters, resulting in a decreased prediction accuracy of the remaining useful life (RUL).
Qingqing Huang +5 more
doaj +1 more source
IEEE Access, 2020 As a key characteristic for industrial wireless sensor networks, deterministic scheduling aims to ensure that real-time data flows arrive at destination devices under deadline constraints by allocating necessary communication resources, such as time ...
Heng Wang +3 more
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Research on data security protection and risk identification technology for industrial information systems [PDF]
Zhihui kongzhi yu fangzhenWith the development of Industry 4.0 and smart manufacturing, industrial information systems face increasingly complex security threats, especially in data security and risk identification.
CHEN Shufan, QIAN Cheng, ZHAO Bingying, CAO Hao
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Tool Wear Prediction Based on a Multi-Scale Convolutional Neural Network with Attention Fusion
Information, 2022 Compared with traditional machine learning algorithms, the convolutional neural network (CNN) has an excellent automatic feature learning ability and can complete the nonlinear representation from original data input to output by itself. However, the CNN
Qingqing Huang +4 more
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An Aggregative High-Order Singular Value Decomposition Method in Edge Computing
IEEE Access, 2020 In edge computing, for dimensionality reduction and core data extraction, both edge computing node (ECN) and cloud server may implement a high-order singular value decomposition (HOSVD) algorithm before data are passed to local computing models. However,
Junhua Chen +3 more
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