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  1. 261
    por Natkaniec, Marek, Bednarz, Marcin
    Publicado 2023
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    Wireless Local Area Networks Threat Detection Using 1D-CNN
  2. 262
    “…In this study, we proposed a novel deep learning method to process GPR data, the CRNN network, which combines convolutional neural networks (CNN) and recurrent neural networks (RNN). The CNN processes raw GPR waveform data from signal channels, and the RNN processes features from multiple channels. …”
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    Combined CNN and RNN Neural Networks for GPR Detection of Railway Subgrade Diseases
  3. 263
    “…To tackle this issue, in this study, we introduce an equivariant network, aiming to reduce CNN’s dependency on specific training sets. We evaluate the efficacy of equivariant spherical CNNs (SCNNs) for 2- and 3-dimensional medical imaging problems. …”
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    Spherical CNN for Medical Imaging Applications: Importance of Equivariance in image reconstruction and denoising
  4. 264
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    Retracted: Environmental and Geographical (EG) Image Classification Using FLIM and CNN Algorithms
  5. 265
    por Zheng, Tong, Li, Jin, Tian, Hao, Wu, Qing
    Publicado 2023
    “…Recently, attention has been paid to the convolutional neural network (CNN) based synthetic aperture radar (SAR) target recognition method. …”
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    The Process Analysis Method of SAR Target Recognition in Pre-Trained CNN Models
  6. 266
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    Retracted: Language Processing Model Construction and Simulation Based on Hybrid CNN and LSTM
  7. 267
    “…To achieve this, a novel Gap Layer modified CNN architecture (GL-CNN) has been proposed with an IoT effective monitoring system and UAV technology. …”
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    A novel CNN gap layer for growth prediction of palm tree plantlings
  8. 268
    “…This research presents a hybrid model utilizing improved speech signals with dynamic feature breakdown using CNN and LSTM. The proposed hybrid model employs a new, pre-trained CNN with LSTM to recognize PD in linguistic features utilizing Mel-spectrograms derived from normalized voice signal and dynamic mode decomposition. …”
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    Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease
  9. 269
    “…In this paper, LeNet, a classic CNN architecture, has been successfully applied to breast cancer data analysis. …”
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    A Modified LeNet CNN for Breast Cancer Diagnosis in Ultrasound Images
  10. 270
    “…To solve these problems, this study adopted a Mask Region-based convolutional neural network (Mask R-CNN) architecture incorporating deformable convolution to segment branches in complex backgrounds. …”
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    Detection and Reconstruction of Passion Fruit Branches via CNN and Bidirectional Sector Search
  11. 271
    “…In this work, we propose a novel Faster R-CNN-based framework to automate the detection of BC pathological Lesions in MRI. …”
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    An Innovative Faster R-CNN-Based Framework for Breast Cancer Detection in MRI
  12. 272
    “…We design a multiple instance learning (MIL)-based generalized architecture named CNN-ViT-TSAN, by using CNN- and/or ViT-extracted features and TSAN to specify a series of models for the WVAED problem. …”
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    CNN-ViT Supported Weakly-Supervised Video Segment Level Anomaly Detection
  13. 273
    “…Nevertheless, enhancing the CNN models' performance remains challenging, notably concerning sensitivity. …”
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    Boosting the performance of pretrained CNN architecture on dermoscopic pigmented skin lesion classification
  14. 274
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    Retracted: Application of CNN-Based Machine Learning in the Study of Motor Fault Diagnosis
  15. 275
    “…In this paper, the analytical criteria for the local activity in reaction-diffusion CNN with five state variables and one port are presented, which consists of four theorems, including a serial of inequalities involving CNN parameters. …”
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    Theorems and Application of Local Activity of CNN with Five State Variables and One Port
  16. 276
    “…The calponin 3 (CNN3) gene has important functions involved in skeletal muscle development. …”
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    CNN3 Is Regulated by microRNA-1 during Muscle Development in Pigs
  17. 277
    “…CNN3 is an ubiquitously expressed F-actin binding protein, shown to regulate trophoblast fusion and hence seems to play a role in the placentation process. …”
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    CNN3 Regulates Trophoblast Invasion and Is Upregulated by Hypoxia in BeWo Cells
  18. 278
    “…Results for the second measure imply that this diversity is tied to a relatively large variability of the responses of individual CNN feature across the subregions of an image. We hypothesize that this combination of richness and variability of CNN feature responses is one of properties that makes traditional visual artworks special. …”
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    Using CNN Features to Better Understand What Makes Visual Artworks Special
  19. 279
    “…Finally, by training a CNN using singular value vector matrices as inputs, planetary gear fault state identification and classification was achieved. …”
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    Planetary Gears Feature Extraction and Fault Diagnosis Method Based on VMD and CNN
  20. 280
    “…By incorporating the convolution neural network (CNN) model, the proposed pattern recognition system has become more accurate than the existing model. …”
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    Smartwatch User Interface Implementation Using CNN-Based Gesture Pattern Recognition
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