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检索条件"主题词=Supervised and Unsupervised Learning"
68 条 记 录,以下是1-10 订阅
排序:
supervised and unsupervised learning using a fully-plastic all-optical unit of artificial intelligence based on solitonic waveguides
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NEURAL COMPUTING & APPLICATIONS 2021年 第24期33卷 17071-17079页
作者: Bile, Alessandro Moratti, Francesca Tari, Hamed Fazio, Eugenio Sapienza Univ Roma Dept Fundamental & Appl Sci Engn Via A Scarpa 16 Rome Italy
The software implementations of neuronal systems have shown great effectiveness, even if the natural hardware separation between the processing and memory areas in computers slows down the analysis capacity. To overco... 详细信息
来源: 评论
A wavelet-based neural network scheme for supervised and unsupervised learning
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NEURAL COMPUTING & APPLICATIONS 2021年 第20期33卷 13433-13448页
作者: Esquivel, Manuel L. Krasii, Nadezhda P. Univ Nova Lisboa Dept Math FCT NOVA Campus Caparica P-2829516 Monte De Caparica Portugal Don State Tech Univ Gagarin Sq 1 Rostov Na Donu 344000 Russia
We introduce a scheme for supervised and unsupervised learning based on successive decomposition of random inputs by means of wavelet basis. To each successive layer corresponds a different wavelet basis with more nul... 详细信息
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Joint supervised and unsupervised Machine learning for Spaceborne Spectrum Sensing
Joint Supervised and Unsupervised Machine Learning for Space...
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2024 International Conference on Wireless for Space and Extreme Environments
作者: Manzoor, Bisma Al-Hourani, Akram RMIT Univ Sch Engn Melbourne Vic Australia
As Internet of Things (IoT) applications continue to expand, the increasing traffic in frequency spectrum highlights critical challenges related to spectrum utilization, IoT device management, and potential security r... 详细信息
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Revolutionizing Business with AI: Unlocking Customer Insights Through unsupervised and supervised learning for Behavior Prediction  9th
Revolutionizing Business with AI: Unlocking Customer Insight...
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9th International Congress on Information and Communication Technology (ICICT)
作者: Rachini, Ali Fares, Charbel Assaf, Maroun Abi Jaber, Mustafa Musa Holy Spirit Univ Kaslik 446 Jounieh Lebanon NH USA Informat Inst Postgrad Studies Iraqi Commiss Comp & Informat Baghdad Iraq
This study navigates the intricate landscape of understanding and classifying customer behavior amid dynamic consumer preferences and vast data. Conventional segmentation methods often fall short, resulting in subopti... 详细信息
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Deep learning-based supervised and unsupervised neural networks for analysing the characteristics of powder composite preforms
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INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION 2021年 第6期41卷 451-462页
作者: Pavanasam, Radha Chandrasekaran, G. Selvakumar, N. Mepco Schlenk Engn Coll Dept Comp Applicat Sivakasi 626005 India Mepco Schlenk Engn Coll Dept Mech Engn Sivakasi India
This highlights the importance of deep learning in analysing the characteristics of composite preforms in the manufacturing of mechanical components in the industries. The raw data of Powder Metallurgy Lab are having ... 详细信息
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Predicting Underwater Noise Spectra Dominated by Wind Turbine Contributions
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IEEE JOURNAL OF OCEANIC ENGINEERING 2024年 第4期49卷 1675-1694页
作者: Trucco, Andrea Univ Genoa Dept Elect Elect Telecommun Engn & Naval Architect Genoa I-16145 Italy
The study of the impact on the marine ecosystem of an offshore wind farm benefits from the knowledge of the underwater noise observed at a single turbine, as the wind speed varies. The calculation of the noise spectra... 详细信息
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Most influential feature form for supervised learning in voltage sag source localization
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2024年 133卷
作者: Mohammadi, Younes Polajzer, Bostjan Leborgne, Roberto Chouhy Khodadad, Davood Umea Univ Dept Appl Phys & Elect S-90187 Umea Sweden Univ Maribor Fac Elect Engn & Comp Sci Maribor 2000 Slovenia Univ Fed Rio Grande do Sul Ave Osvaldo Aranha 99 BR-90035190 Porto Alegre RS Brazil Haken Gullesons Vag 20 S-90187 Umea Sweden
The paper investigates the application of machine learning (ML) for voltage sag source localization (VSSL) in electrical power systems. To overcome feature -selection challenges for traditional ML methods and provide ... 详细信息
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Comparative Analysis of Intrusion Detection Systems and Machine learning-Based Model Analysis Through Decision Tree
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IEEE ACCESS 2023年 11卷 80348-80391页
作者: Azam, Zahedi Islam, Md. Motaharul Huda, Mohammad Nurul United Int Univ Dept Comp Sci & Engn Dhaka 1212 Bangladesh
Cyber-attacks pose increasing challenges in precisely detecting intrusions, risking data confidentiality, integrity, and availability. This review paper presents recent IDS taxonomy, a comprehensive review of intrusio... 详细信息
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Faults and fractures detection using a combination of seismic attributes by the MLP and UVQ artificial neural networks in an Iranian oilfield
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PETROLEUM SCIENCE AND TECHNOLOGY 2023年 第24期41卷 2299-2327页
作者: Mohammadi, Reza Bakhtiari, Mohammad Reza Amirkabir Univ Technol Dept Petr Engn 3550 Hafez AveValiasr Sq Tehran *** Iran Natl Iranian Drilling Co NIDC Dept Well Logging Ahvaz Iran Natl Iranian Oil Co Explorat Directorate NIOC EXP Dept Geophys Tehran Iran
Faults and fractures play a significant role in oilfield drilling operations, hydrocarbon trapping, and reservoir development. Exploring faults quickly and accurately can help reach the target more efficiently. In thi... 详细信息
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Clustering of precipitation features by a new validity index over Iran
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JOURNAL OF HYDROLOGY-REGIONAL STUDIES 2025年 59卷
作者: Moghim, Sanaz Rajabi, Reza Sharif Univ Technol Dept Civil Engn Azadi Ave Tehran Iran
Study region: The study domain is Iran, a climatically diverse country. Study focus: Clustering is an effective approach for climate zoning that identifies areas with similar climatic patterns. This study clusters pre... 详细信息
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