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Trenutno NISTE avtorizirani za dostop do e-virov UL. Za polni dostop se PRIJAVITE.

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zadetkov: 945.295
21.
  • Brain Dynamics in Predictin... Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network
    Liu, Yu-Ting; Lin, Yang-Yin; Wu, Shang-Lin ... IEEE transaction on neural networks and learning systems, 2016-Feb., 2016-Feb, 2016-2-00, 20160201, Letnik: 27, Številka: 2
    Journal Article
    Odprti dostop

    This paper proposes a generalized prediction system called a recurrent self-evolving fuzzy neural network (RSEFNN) that employs an on-line gradient descent learning rule to address the ...
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Dostopno za: UL

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22.
  • Deep Fuzzy Hashing Network ... Deep Fuzzy Hashing Network for Efficient Image Retrieval
    Lu, Huimin; Zhang, Ming; Xu, Xing ... IEEE transactions on fuzzy systems, 01/2021, Letnik: 29, Številka: 1
    Journal Article
    Recenzirano

    Hashing methods for efficient image retrieval aim at learning hash functions that map similar images to semantically correlated binary codes in the Hamming space with similarity well preserved. The ...
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Dostopno za: UL
23.
  • Applications of deep learni... Applications of deep learning in stock market prediction: Recent progress
    Jiang, Weiwei Expert systems with applications, 12/2021, Letnik: 184
    Journal Article
    Recenzirano
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    •The latest applications of deep learning in stock market prediction are presented.•The literature is reviewed with a general workflow for stock market prediction.•The often-ignored implementation ...
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Dostopno za: UL

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24.
  • Advancing Neuromorphic Comp... Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook
    Davies, Mike; Wild, Andreas; Orchard, Garrick ... Proceedings of the IEEE, 05/2021, Letnik: 109, Številka: 5
    Journal Article
    Recenzirano
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    Deep artificial neural networks apply principles of the brain's information processing that led to breakthroughs in machine learning spanning many problem domains. Neuromorphic computing aims to take ...
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Dostopno za: UL

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25.
  • LANet: Local Attention Embe... LANet: Local Attention Embedding to Improve the Semantic Segmentation of Remote Sensing Images
    Ding, Lei; Tang, Hao; Bruzzone, Lorenzo IEEE transactions on geoscience and remote sensing, 2021-Jan., 2021-1-00, 20210101, Letnik: 59, Številka: 1
    Journal Article
    Recenzirano
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    The trade-off between feature representation power and spatial localization accuracy is crucial for the dense classification/semantic segmentation of remote sensing images (RSIs). High-level features ...
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Dostopno za: UL

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26.
  • DiResNet: Direction-Aware R... DiResNet: Direction-Aware Residual Network for Road Extraction in VHR Remote Sensing Images
    Ding, Lei; Bruzzone, Lorenzo IEEE transactions on geoscience and remote sensing, 12/2021, Letnik: 59, Številka: 12
    Journal Article
    Recenzirano
    Odprti dostop

    The binary segmentation of roads in very high resolution (VHR) remote sensing images (RSIs) has always been a challenging task due to factors such as occlusions (caused by shadows, trees, buildings, ...
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Dostopno za: UL

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27.
  • Eigen-CNN: Eigenimages plus... Eigen-CNN: Eigenimages plus Eigennoise Level Maps Guided Network for Hyperspectral Image Denoising
    Zhuang, Lina; Ng, Michael K.; Gao, Lianru ... IEEE transactions on geoscience and remote sensing, 01/2024, Letnik: 62
    Journal Article
    Recenzirano

    In recent years, neural network-based methods have shown promising results in hyperspectral image (HSI) denoising area. Real HSIs exhibit substantial variations in noise distribution due to various ...
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Dostopno za: UL
28.
  • Intelligent Beamforming via... Intelligent Beamforming via Physics-Inspired Neural Networks on Programmable Metasurface
    Li, Shangyang; Liu, Zhuoyang; Fu, Shilei ... IEEE transactions on antennas and propagation, 06/2022, Letnik: 70, Številka: 6
    Journal Article
    Recenzirano

    Programmable metasurface (PM) exhibits powerful capabilities to manipulate electromagnetic (EM) waves with controlled active components loaded on the sub-wavelength elements. However, for ...
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Dostopno za: UL
29.
  • Modulation Classification B... Modulation Classification Based on Signal Constellation Diagrams and Deep Learning
    Peng, Shengliang; Jiang, Hanyu; Wang, Huaxia ... IEEE transaction on neural networks and learning systems, 03/2019, Letnik: 30, Številka: 3
    Journal Article

    Deep learning (DL) is a new machine learning (ML) methodology that has found successful implementations in many application domains. However, its usage in communications systems has not been well ...
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Dostopno za: UL
30.
  • Broad Convolutional Neural ... Broad Convolutional Neural Network Based Industrial Process Fault Diagnosis With Incremental Learning Capability
    Yu, Wanke; Zhao, Chunhui IEEE transactions on industrial electronics (1982), 06/2020, Letnik: 67, Številka: 6
    Journal Article
    Recenzirano

    Fault diagnosis, which identifies the root cause of the observed out-of-control status, is essential to counteracting or eliminating faults in industrial processes. Many conventional data-driven ...
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Dostopno za: UL
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