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Mostrando 341 - 360 Resultados de 8,800 Para Buscar '"CNN"', tiempo de consulta: 0.20s Limitar resultados
  1. 341
    por Zhu, Junjiang, Lv, Jintao, Kong, Dongdong
    Publicado 2022
    “…The experimental results show that the F1 score of CNN-FWS is 0.902, and the Recall of CNN-FWS is 0.889. (4) Conclusion: CNN-FWS absorbs the advantages of convolutional neural networks (CNN) to obtain three parts of different spatial information and enrich the learned features. …”
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    CNN-FWS: A Model for the Diagnosis of Normal and Abnormal ECG with Feature Adaptive
  2. 342
    por Li, Aichuan, Yi, Shujuan
    Publicado 2022
    “…The proposed model combines the learning advantages of BiLSTM and CNN. The overall accuracy of text emotion analysis has been greatly improved, with an accuracy of 0.94 and an improvement of 8.51% compared with the single CNN model.…”
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    Emotion Analysis Model of Microblog Comment Text Based on CNN-BiLSTM
  3. 343
    “…Convolutional neural network (CNN) is used to automatically extract features of time-frequency images, so as to realize the classification of various fault modes. …”
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    An Approach to Intelligent Fault Diagnosis of Cryocooler Using Time-Frequency Image and CNN
  4. 344
    “…However, CNN may not be suitable for all bearing fault classifiers. …”
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    Evaluation of Different Bearing Fault Classifiers in Utilizing CNN Feature Extraction Ability
  5. 345
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    FDCNet: Presentation of the Fuzzy CNN and Fractal Feature Extraction for Detection and Classification of Tumors
  6. 346
    por Xia, Baizhan, Luo, Hao, Shi, Shiguang
    Publicado 2022
    “…The Fast-Convolutional Neural Network (Faster R-CNN) algorithm is improved, and a surface defect detection algorithm based on the improved Faster R-CNN is proposed. …”
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    Improved Faster R-CNN Based Surface Defect Detection Algorithm for Plates
  7. 347
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    An Ensemble of CNN Models for Parkinson’s Disease Detection Using DaTscan Images
  8. 348
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    Deep Splicer: A CNN Model for Splice Site Prediction in Genetic Sequences
  9. 349
    “…DMFF-CNN uses the gram angular field (GAF) image coding and intelligence quotient (IQ) data combined with CNN. …”
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    Electromagnetic Modulation Signal Classification Using Dual-Modal Feature Fusion CNN
  10. 350
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    Multi-Class CNN for Classification of Multispectral and Autofluorescence Skin Lesion Clinical Images
  11. 351
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    Light Weighted Healthcare CNN Model to Detect Prostate Cancer on Multiparametric MRI
  12. 352
    “…This study solves this problem by proposing the novel use of feature extraction from a convolutional neural network (CNN). An ensemble model is designed where a CNN model is used to enlarge the feature set to train linear models including stochastic gradient descent classifier, logistic regression, and support vector machine that comprise the soft-voting based ensemble model. …”
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    Incorporating CNN Features for Optimizing Performance of Ensemble Classifier for Cardiovascular Disease Prediction
  13. 353
    “…As a result, to resolve the problem of facial expression recognition (FER) using convolutional neural networks (CNN), increasingly substantial efforts have been made in recent years. …”
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    Impact of Activation, Optimization, and Regularization Methods on the Facial Expression Model Using CNN
  14. 354
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    Deformation Adjustment with Single Real Signature Image for Biometric Verification Using CNN
  15. 355
    por Ma, Hanlin, Yao, Mingyang
    Publicado 2022
    “…For the problem of planned maintenance no longer meeting current pantograph maintenance requirements, a defect diagnosis system based on a combination of faster R-CNN neural networks is presented. The pantograph image features are extracted by introducing an alternative to the original feature extraction module that can extract deep-level image features and achieve feature reuse, and the data transformation operations such as image rotation and enhancement are used to expand the sample set in the experiment to enhance the detection effect. …”
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    Design of Faster R-CNN-Based Fault Detection Method for Subway Vehicles
  16. 356
    por Xiao, Qiyang, Li, Sen, Zhou, Lin, Shi, Wentao
    Publicado 2022
    “…This paper proposes an intelligent diagnosis method for rotating machinery faults based on improved variational mode decomposition (IVMD) and CNN to process the rotating machinery non-stationary signal. …”
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    Improved Variational Mode Decomposition and CNN for Intelligent Rotating Machinery Fault Diagnosis
  17. 357
    “…We present a light, fast, and simple two-stage multiclass CNN architecture for promoter identification and classification. …”
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    PromoterLCNN: A Light CNN-Based Promoter Prediction and Classification Model
  18. 358
    “…Further the segmented portion was trained by Convolutional Neural Network (CNN) in order to classify the segmented region as normal or abnormal. …”
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    Segmentation of CT Lung Images Using FCM with Active Contour and CNN Classifier
  19. 359
    por Wang, Lei, Wang, Xili
    Publicado 2022
    “…This paper proposes a classification method for HS and LiDAR data based on a dual-coupled CNN-GCN structure. The model can be divided into a coupled CNN and a coupled GCN. …”
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    Dual-Coupled CNN-GCN-Based Classification for Hyperspectral and LiDAR Data
  20. 360
    “…To show the effectiveness of our proposed method, this paper evaluates our proposed method with actual state-of-the-art CNN models of VGGNet, ResNet and DenseNet under the CIFAR-10 dataset. …”
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    Heuristic Method for Minimizing Model Size of CNN by Combining Multiple Pruning Techniques
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