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检索条件"主题词=autoencoder"
4251 条 记 录,以下是4101-4110 订阅
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Automatic detection of Flavescense Dorée grapevine disease in hyperspectral images using machine learning
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Procedia Computer Science 2022年 196卷 125-132页
作者: Diogo M. Silva Théo Bernardin Kévin Fanton Roshan Nepaul Luís Pádua Joaquim J. Sousa António Cunha Universidade de Trás-os-Montes e Alto Douro Quinta de Prado 5000-811 Vila Real Portugal Polytech Annecy-Chambéry 2 Av. du Lac d’Annecy 73370 Le Bourget-du-Lac France Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência Porto 4200-465 Portugal
The technological revolution that we have been witnessing recently has allowed components miniaturization and made electronic components accessible. Hyperspectral sensors benefited from these advances and could be mou... 详细信息
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Cartesian Abstraction Can Yield ‘Cognitive Maps’
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Procedia Computer Science 2016年 88卷 259-271页
作者: András Lőrincz Eötvös Loránd University Budapest Hungary
It has been long debated how the so called cognitive map, the set of place cells, develops in rat hippocampus. The function of this organ is of high relevance, since the hippocampus is the key component of the medial ... 详细信息
来源: 评论
Processing of Clinical Notes for Efficient Diagnosis with Dual LSTM
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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2022年 第2期13卷 400-407页
作者: Chandru, A. S. Seetharam, K. Visvesvaraya Technol Univ VTURRC Dept CSE Bengaluru Karnataka India Jnanavikas Inst Technol Dept CSE Bangalore Karnataka India
records contain patient information such as laboratory values, doctor notes, or medications. However, clinical notes are underutilized because notes are complex, high dimensional, and sparse. However, these clinical r... 详细信息
来源: 评论
Enhancing Production System Performance: Failure Detection and Availability Improvement with Deep Learning and Genetic Algorithm
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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2023年 第12期14卷 716-726页
作者: Farhana, Artika Sabeer, Shaista Siddiqua, Ayasha Anjum, Afsana Jazan Univ Dept Comp Sci Jizan Saudi Arabia Jazan Univ Dept Comp Sci & Informat Technol Jazan Saudi Arabia Jazan Univ Jazan Dept Comp Sci & Informat Technol Jazan Saudi Arabia
A crucial component of industrial operations is the detection of production system failures, which aims to spot any problems before they get worse. By applying cutting -edge methods like deep learning and genetic algo... 详细信息
来源: 评论
Dual model knowledge distillation for industrial anomaly detection
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PATTERN ANALYSIS AND APPLICATIONS 2024年 第3期27卷 77-77页
作者: Thomine, Simon Snoussi, Hichem Univ Technol Troyes Dept LIST3N 12 Rue Marie Curie F-10300 Troyes France
Unsupervised anomaly detection holds significant importance in large-scale industrial manufacturing. Recent methods have capitalized on the benefits of employing a classifier pretrained on natural images to extract re... 详细信息
来源: 评论
Application of Relying on 3D Modeling Technology in the Design of Urban Sculpture
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JOURNAL OF ELECTRICAL SYSTEMS 2024年 第1期20卷 176-191页
作者: Liu, Lei Li, Xiaoning Shijiazhuang Informat Engn Vocat Coll Shijiazhuang 050000 Peoples R China
- Urban sculptures have long been a reflection of the cultural and historical identity of a city, serving as both artistic expressions and landmarks. The application of deep learning in the context of sculptures withi... 详细信息
来源: 评论
Anomaly-Based Method for Detecting Multiple Classes of Network Attacks
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INFORMATION 2019年 第3期10卷 84页
作者: Gurina, Anastasia Eliseev, Vladimir Natl Res Univ Moscow Power Engn Inst Krasnokazarmennaya 14 Moscow 111250 Russia InfoTeCS JSC Stary Petrovsko Razumovsky Proyezd1-23Bldg 1 Moscow 127287 Russia
The article discusses the problem of detecting network attacks on a web server. The attention is focused on two common types of attacks: "denial of service" and "code injection". A review and an an... 详细信息
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Combining SDAE Network with Improved DTW Algorithm for Similarity Measure of Ultra-Weak FBG Vibration Responses in Underground Structures
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SENSORS 2020年 第8期20卷 2179页
作者: Li, Sheng Zuo, Xiang Li, Zhengying Wang, Honghai Sun, Lizhi Wuhan Univ Technol Natl Engn Lab Fiber Opt Sensing Technol Wuhan 430070 Peoples R China Wuhan Univ Technol Sch Informat Engn Wuhan 430070 Peoples R China Univ Calif Irvine Dept Civil & Environm Engn Irvine CA 92697 USA
Quantifying structural status and locating structural anomalies are critical to tracking and safeguarding the safety of long-distance underground structures. Given the dynamic and distributed monitoring capabilities o... 详细信息
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Temporal Convolutional Networks Applied to Remaining Useful Life Prediction of Turbofan Engine
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电脑学刊 2021年 第3期32卷 69-85页
作者: Yue-feng Liu Gong Zhang Jia-qi Li
In recent years, turbofan engine failures have frequently occurred, traditional breakdown maintenance has been difficult to meet the demand. Remaining useful life (RUL) prediction technology has become one of the effe... 详细信息
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Diagnosis of atrial fibrillation based on AI-detected anomalies of ECG segments
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HELIYON 2024年 第1期10卷 e23597页
作者: Choi, Sanghoon Choi, Kyungmin Yun, Hong Kyun Kim, Su Hyeon Choi, Hyeon-Hwa Park, Yi-Seul Joo, Segyeong Univ Ulsan Coll Med Dept Biomed Engn Seoul South Korea Asan Med Ctr Asan Med Inst Convergence Sci & Technol Seoul South Korea Univ Ulsan Asan Med Inst Convergence Sci & Technol Asan Med Ctr Coll Med 388-1 Pungnap Dong Seoul South Korea
Early detection of atrial fibrillation (AF) is crucial for its effective management and prevention. Various methods for detecting AF using deep learning (DL) based on supervised learning with a large labeled dataset h... 详细信息
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