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Radar signal recognition based on triplet convolutional neural network

Lutao Liu, Xinyu Li
<span title="2021-11-13">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hqblpsydr5emviirtqkkmctpha" style="color: black;">EURASIP Journal on Advances in Signal Processing</a> </i> &nbsp;
In essence, TCNN is a CNN network that triplet loss is adopted to optimize parameters of the network in the training process.  ...  Then, these TFIs are fed into a designed triplet convolutional neural network (TCNN) to obtain high-dimensional feature vectors.  ...  Acknowledgements The authors would like to thank the editors and the reviewers for their comments on the manuscript of this article.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s13634-021-00821-8">doi:10.1186/s13634-021-00821-8</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3j7tqjk3yjcmtkvarn6vxuitmy">fatcat:3j7tqjk3yjcmtkvarn6vxuitmy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211115212339/https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-021-00821-8.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f4/57/f457177ad8fb3d8ca3956895b7dc35a02b567163.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s13634-021-00821-8"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

Secure Deep Learning for Intelligent Terahertz Metamaterial Identification

Feifei Liu, Weihao Zhang, Yu Sun, Jianwei Liu, Jungang Miao, Feng He, Xiaojun Wu
<span title="2020-10-05">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
To address the looming threat of stealthy monitoring, the detection and identification of metamaterials is the next research frontier but have not yet been explored.  ...  Here, we show that the crypto-oriented convolutional neural network (CNN) makes possible the secure intelligent detection of metamaterials in mixtures.  ...  If we provided an online metamaterial identification service and other labs attempted to use it, they would need to upload sensing data to our server, resulting in the leakage of both sensing data and  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s20195673">doi:10.3390/s20195673</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33027897">pmid:33027897</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/f7m62yozwrfwbjuw7kapdk2t64">fatcat:f7m62yozwrfwbjuw7kapdk2t64</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201006064857/https://res.mdpi.com/d_attachment/sensors/sensors-20-05673/article_deploy/sensors-20-05673.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/46/22/462294fe2199f93e469161906641598ca63d7d5d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s20195673"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Screen Gleaning: A Screen Reading TEMPEST Attack on Mobile Devices Exploiting an Electromagnetic Side Channel [article]

Zhuoran Liu, Niels Samwel, Léo Weissbart, Zhengyu Zhao, Dirk Lauret, Lejla Batina, Martha Larson
<span title="2020-11-19">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We introduce screen gleaning, a TEMPEST attack in which the screen of a mobile device is read without a visual line of sight, revealing sensitive information displayed on the phone screen.  ...  The screen gleaning attack uses an antenna and a software-defined radio (SDR) to pick up the electromagnetic signal that the device sends to the screen to display, e.g., a message with a security code.  ...  ACKNOWLEDGMENTS Part of this work was carried out on the Dutch national e-infrastructure with the support of SURF Cooperative.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.09877v1">arXiv:2011.09877v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gyi7w5xumjdbnl7aou2h4gowua">fatcat:gyi7w5xumjdbnl7aou2h4gowua</a> </span>
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Sea Ice Automatic Extraction in the Liaodong Bay from Sentinel-2 Imagery Using Convolutional Neural Networks

Li Zherui, Cai Huiwen, P. Zhou, Y. He, R. Weerasinghe
<span title="">2020</span> <i title="EDP Sciences"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wehsdgmkgvabfewguumql7pepe" style="color: black;">E3S Web of Conferences</a> </i> &nbsp;
The convolutional neural network was used to extract and classify the feature of the image from Sentinel-2.  ...  Sea ice classification is one of the important tasks of sea ice monitoring.  ...  In CNN, the input is usually multi-dimensional array data, which is called tensor.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1051/e3sconf/202014302015">doi:10.1051/e3sconf/202014302015</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4hdxfqkd4vbwzi4rpdasyuza2e">fatcat:4hdxfqkd4vbwzi4rpdasyuza2e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200210222222/https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/03/e3sconf_arfee2020_02015.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/31/98/3198f6bc40db1de942359a64c96409c6205e9927.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1051/e3sconf/202014302015"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Deep Learning to Evaluate Secure RSA Implementations

Mathieu Carbone, Vincent Conin, Marie-Angela Cornélie, François Dassance, Guillaume Dufresne, Cécile Dumas, Emmanuel Prouff, Alexandre Venelli
<span title="2019-02-28">2019</span> <i title="IACR Transactions on Cryptographic Hardware and Embedded Systems"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yz7ssmvstjhsxiwixprnmyijnq" style="color: black;">Transactions on Cryptographic Hardware and Embedded Systems</a> </i> &nbsp;
The analyses have been conducted by three experts' teams, each working on a specific attack path and exploiting information extracted either from the electromagnetic emanation or from the power consumption  ...  This paper presents the results of several successful profiled side-channel attacks against a secure implementation of the RSA algorithm.  ...  Acknowledgements The target implementation used in this paper to present the different attacks is part of a challenge organized by ANSSI's laboratory of hardware security for industrial partners.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.13154/tches.v2019.i2.132-161">doi:10.13154/tches.v2019.i2.132-161</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/journals/tches/CarboneCCDDDPV19.html">dblp:journals/tches/CarboneCCDDDPV19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cn3m5ed7srbpxdnp7s7xdh2be4">fatcat:cn3m5ed7srbpxdnp7s7xdh2be4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200109211609/https://tches.iacr.org/index.php/TCHES/article/download/7388/6560" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0c/0a/0c0abb3510b04da95663f4cd06df5d2c159fe05e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.13154/tches.v2019.i2.132-161"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Differential Contour Stellar Based Radio Frequency Fingerprint identification for Internet of Things

Jingchao Li, Yulong Ying, Chunlei Ji, Bin Zhang
<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
convolutional neural network based RF Fingerprint identification scheme using differential contour stellar (DSC-CNN) can achieve reliable identification and authentication of the physical layer of the  ...  In this paper, the inherent and essential unintentional modulation information carried by the electromagnetic wave signal emitted by the terminal device of the Internet of Things is used as the identifiable  ...  VOLUME XX, 2017 9 FC/ Softmax 20 An example of the transition from constellation to contour stellar for the WiFi network card devices is shown in fig.10 .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3071352">doi:10.1109/access.2021.3071352</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lo3en6utnvgmll4xn4wlryhduy">fatcat:lo3en6utnvgmll4xn4wlryhduy</a> </span>
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Application of GPR System With Convolutional Neural Network Algorithm Based on Attention Mechanism to Oil Pipeline Leakage Detection

Jiadai Li, Ding Yang, Cheng Guo, Chenggao Ji, Yangchao Jin, Haijiao Sun, Qing Zhao
<span title="2022-05-12">2022</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6lrazeiea5fp7mqpz4ogs5j7se" style="color: black;">Frontiers in Earth Science</a> </i> &nbsp;
The simulation results show that after using the new optimized convolutional neural network, the accuracy rates of the leakage discrimination from horizontal data acquired along the oil pipeline and the  ...  network (CNN) algorithm based on attention mechanism is proposed in this article.  ...  Figures 2A and B show the three-dimensional (3D) simulation model of the oil pipeline under the condition of normal operation and leakage, respectively.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/feart.2022.863730">doi:10.3389/feart.2022.863730</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6amb3fhlpzfirkpwncmsmu2b4y">fatcat:6amb3fhlpzfirkpwncmsmu2b4y</a> </span>
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Aircraft Landing Gear Retraction/Extension System Fault Diagnosis with 1-D Dilated Convolutional Neural Network

Jie Chen, Qingshan Xu, Yingchao Guo, Runfeng Chen
<span title="2022-02-10">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
Importantly, using padding dilated convolution to multiply the receptive field of the convolution kernel, the 1-DDCNN can completely retain the feature information in the original signal.  ...  Aiming at developing the limited feature information extraction and inaccurate diagnosis of the traditional 1-DCNN with a single feature, the 1-DDCNN selects multiple feature parameters to realize feature  ...  Informed Consent Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s22041367">doi:10.3390/s22041367</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35214264">pmid:35214264</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8963091/">pmcid:PMC8963091</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u4obcixapfel7lvto3rlckgamm">fatcat:u4obcixapfel7lvto3rlckgamm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220424222406/https://mdpi-res.com/d_attachment/sensors/sensors-22-01367/article_deploy/sensors-22-01367-v3.pdf?version=1645490631" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/92/8a/928af432c76cc826374e9547625b91df36fa9b98.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s22041367"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963091" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Infrared thermography-based diagnostics on power equipment: State-of-the-art

Changjie Xia, Ming Ren, Bing Wang, Ming Dong, Guanghao Xu, Jiacheng Xie, Chongxing Zhang
<span title="2020-11-08">2020</span> <i title="Institution of Engineering and Technology (IET)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/u262dgor35a2jikwt2bfn4k2fq" style="color: black;">High Voltage</a> </i> &nbsp;
fault diagnosis as well as image-based intelligent fault identification.  ...  This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.  ...  of China (Grant Nos. 51877171).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1049/hve2.12023">doi:10.1049/hve2.12023</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/my6wphkgufa2lb7ljlygzmtq24">fatcat:my6wphkgufa2lb7ljlygzmtq24</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210716173242/https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/hve2.12023" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f0/e6/f0e6236f5439bf5aed70ce03d717e93b9dd97f80.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1049/hve2.12023"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Unknown Radar Waveform Recognition Based on Transferred Deep Learning

Anni Lin, Zhiyuan Ma, Zhi Huang, Yan Xia, Wenting Yu
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
The image set of two-dimensional TFI achieve feature extraction by using CNN.  ...  In order to realize the recognition of unknown radar waveforms, a multi-classifier system is used to analyze the changes of neurons, and linear weight decision fusion is used to realize the identification  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3029192">doi:10.1109/access.2020.3029192</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mdobggsivjgfhhwcex6txjitli">fatcat:mdobggsivjgfhhwcex6txjitli</a> </span>
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Pipeline In-Line Inspection Method, Instrumentation and Data Management

Qiuping Ma, Guiyun Tian, Yanli Zeng, Rui Li, Huadong Song, Zhen Wang, Bin Gao, Kun Zeng
<span title="2021-06-03">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
These are magnetic flux leakage (MFL) testing, ultrasonic testing (UT), electromagnetic acoustic technology (EMAT), eddy current testing (EC).  ...  The state of the art of PIGs, un-piggable robots, as well as instrumental applications, are systematically compared.  ...  It is based on the fusion excitation of electromagnetic and thermal multi-physical field effects.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21113862">doi:10.3390/s21113862</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fuzettw7ubeg7ecbom7imjuafe">fatcat:fuzettw7ubeg7ecbom7imjuafe</a> </span>
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Special Issue: Novel Approaches for Nondestructive Testing and Evaluation

Jinyi Lee, Hoyong Lee, Azouaou Berkache
<span title="2022-01-07">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
Nondestructive testing and evaluation (NDT&E) is one of the most important techniques for determining the quality and safety of materials, components, devices, and structures [...]  ...  Conflicts of Interest: The authors declare no conflict of interest.  ...  A Comparison of Power Quality Disturbance Detection and Classification Methods Using CNN, LSTM, and CNN-LSTM by Garcia et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12020565">doi:10.3390/app12020565</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ezp4qdqaivdzdeasyybxaail5i">fatcat:ezp4qdqaivdzdeasyybxaail5i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220504141753/https://mdpi-res.com/d_attachment/applsci/applsci-12-00565/article_deploy/applsci-12-00565.pdf?version=1641541689" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/12/a9/12a9c64db3c2a32e66285b0679508e9052110c7c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12020565"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

A Novel Methodology for Series Arc Fault Detection by Temporal Domain Visualization and Convolutional Neural Network

Kai Yang, Ruobo Chu, Rencheng Zhang, Jinchao Xiao, Ran Tu
<span title="2019-12-26">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
The current transformer and high-speed data acquisition system are used to collect the current of a series of arc faults, then the signal is filtered by a digital filter and converted into a gray image  ...  in time sequence before being fed into TDV-CNN.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s20010162">doi:10.3390/s20010162</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31888053">pmid:31888053</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6983122/">pmcid:PMC6983122</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wwbnmlse2fgnfcis5kj4lewihy">fatcat:wwbnmlse2fgnfcis5kj4lewihy</a> </span>
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2020 Index IEEE Transactions on Computers Vol. 69

<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5jlmyrayyrdazh5awdlsoec77q" style="color: black;">IEEE transactions on computers</a> </i> &nbsp;
., +, TC Nov. 2020 1611-1625 Three-term control REMOTE: Robust External Malware Detection Framework by Using Electromagnetic Signals.  ...  ., +, TC Sept. 2020 1308-1319 Instruction Sequence Identification and Disassembly Using Power Supply Side-Channel Analysis.  ... 
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<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201227024754/https://ieeexplore.ieee.org/ielx7/12/9250416/09303494.pdf?tp=&amp;arnumber=9303494&amp;isnumber=9250416&amp;ref=" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/47/bb/47bb8fb7dba3cd3f0fd97844a1aa01977f0b57ba.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tc.2020.3042405"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Research on 3D MFL testing of wire rope based on empirical wavelet transform and SRCNN

Qihang Chen, Juwei Zhang, Bing Li
<span title="2022-03-16">2022</span> <i title="JVE International Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7phojylwrf2fnbft5ycu3sa5e" style="color: black;">Journal of Vibroengineering</a> </i> &nbsp;
Magnetic flux leakage (MFL) testing is one of the most effective methods in nondestructive testing of wire rope.  ...  Color imaging technology is used to fuse defect grayscale images into color images, and Super-Resolution Convolutional Neural Network (SRCNN) is applied to MFL images of broken wires.  ...  Acknowledgements This work was partially supported by National Natural Science Foundation of China (Grant No. U2004163).  ... 
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