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  1. 301
    “…SteganoCNN has two modules, an encoding network, and a decoding network, whereas the decoding network includes two extraction networks. …”
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    SteganoCNN: Image Steganography with Generalization Ability Based on Convolutional Neural Network
  2. 302
    “…We were able to implement an end-to-end CNN system to classify subjects into AD, MCI, or CN groups, reflecting the identification of distinctive elements in brain images. …”
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    Alzheimer's Disease Detection Through Whole-Brain 3D-CNN MRI
  3. 303
    “…The proposed algorithm EM-CNN outperforms other CNN-based methods, i.e., AlexNet, VGG-16, GoogLeNet, and ResNet50, showing accuracy and sensitivity rates of 93.623% and 93.643%, respectively.…”
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    Driver Fatigue Detection Based on Convolutional Neural Networks Using EM-CNN
  4. 304
    por Xie, Tao, Wang, Ke, Li, Ruifeng, Tang, Xinyue
    Publicado 2020
    “…The traditional CNN for 6D robot relocalization which outputs pose estimations does not interpret whether the model is making sensible predictions or just guessing at random. …”
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    Visual Robot Relocalization Based on Multi-Task CNN and Image-Similarity Strategy
  5. 305
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    Image Localized Style Transfer to Design Clothes Based on CNN and Interactive Segmentation
  6. 306
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    CNN-Based Suppression of False Contour and Color Distortion in Bit-Depth Enhancement †
  7. 307
    por Fan, Lili, Rao, Hong, Yang, Wenji
    Publicado 2021
    “…To this end, a novel Five-Layer Ensemble CNN (5LENet) is proposed based on hierarchical thinking, which is designed to decompose the hand pose estimation task into five single-finger pose estimation sub-tasks. …”
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    3D Hand Pose Estimation Based on Five-Layer Ensemble CNN
  8. 308
    por Xu, Huiqing, Chen, Bin, Qin, Jian
    Publicado 2021
    “…To boost the performance, we propose a CNN-based cascaded damage detection network, called CrdNet. …”
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    A CNN-Based Length-Aware Cascade Road Damage Detection Approach
  9. 309
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    Patch Attention Layer of Embedding Handcrafted Features in CNN for Facial Expression Recognition
  10. 310
    por Qin, Feng, Zuo, Tao, Wang, Xing
    Publicado 2021
    “…To improve the accuracy and robustness of indoor WiFi fingerprint localization technology, this paper proposes a positioning system CCPos (CADE-CNN Positioning), which is based on a convolutional denoising autoencoder (CDAE) and a convolutional neural network (CNN). …”
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    CCpos: WiFi Fingerprint Indoor Positioning System Based on CDAE-CNN
  11. 311
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    Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
  12. 312
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    LBTS‐Net: A fast and accurate CNN model for brain tumour segmentation
  13. 313
    “…These segmented regions were then employed as an additional input to six deep convolutional neural network (CNN) architectures (AlexNet, DenseNet, GoogleNet, NASNet-Mobile, ResNet18, and DarkNet), pretrained on natural images, to differentiate between COVID-19 and normal CT images. …”
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    Deep CNN models for predicting COVID-19 in CT and x-ray images
  14. 314
    “…To better characterize the t-masking impact on CNN classification performance, six different experimental configurations were designed. …”
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    Voxel-Wise Feature Selection Method for CNN Binary Classification of Neuroimaging Data
  15. 315
    “…The pipeline is available at GitHub via https://github.com/MaHaoran627/CNN_Virus. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-021-04084-w.…”
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    A multi-task CNN learning model for taxonomic assignment of human viruses
  16. 316
    “…A low-level and high-level feature fusion classification network CNN-F is proposed to classify the benign and malignant nodules. …”
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    Automatic Recognition and Classification System of Thyroid Nodules in CT Images Based on CNN
  17. 317
    “…The primary idea behind REFINED-CNN is representing high dimensional vectors as compact images with spatial correlations that can benefit from CNN architectures. …”
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    Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction
  18. 318
    “…In this paper, we develop such a method where we form an ensemble-based classification model using three Convolutional Neural Network (CNN) architectures, namely Inception v3, Xception and DenseNet-169 pre-trained on ImageNet dataset for Pap stained single cell and whole-slide image classification. …”
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    A fuzzy rank-based ensemble of CNN models for classification of cervical cytology
  19. 319
    “…In this work, a Convolution Neural Network (CNN) model is proposed to classify three types of retinal disorders namely: Choroidal neovascularization (CNV), Drusen macular degeneration (DMD) and Diabetic macular edema (DME). …”
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    Diagnosis of retinal disorders from Optical Coherence Tomography images using CNN
  20. 320
    por Zhu, Danqing
    Publicado 2021
    “…To solve the above problems, this paper proposes a CNN-LSTM (convolutional neural network-long short-term memory) convolution hybrid neural network algorithm to predict the click-through rate of advertisements. …”
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    Advertising Click-Through Rate Prediction Based on CNN-LSTM Neural Network
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