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Mostrando 401 - 420 Resultados de 8,800 Para Buscar '"CNN"', tiempo de consulta: 0.16s Limitar resultados
  1. 401
    “…Five well-known convolutional neural networks (CNNs)—efficientnetb0, mobilenetv2, shufflenet, resnet50, and resnet101—and a custom-built CNN were integrated and trained on this dataset. …”
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    Classification of Color Fundus Photographs Using Fusion Extracted Features and Customized CNN Models
  2. 402
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    Meningioma brain tumor detection and classification using hybrid CNN method and RIDGELET transform
  3. 403
    por Son, Chang-Sik, Kang, Won-Seok
    Publicado 2023
    “…To evaluate the predictive capabilities of the proposed CNN architectures, we compared its performance with three other models: one CNN and two hybrid models (CNN-LSTM and LSTM-CNN). …”
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    Multivariate CNN Model for Human Locomotion Activity Recognition with a Wearable Exoskeleton Robot
  4. 404
    “…This study presents a convolutional neural network (CNN)-based method to detect LSS using MRI images. …”
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    Nerve Root Compression Analysis to Find Lumbar Spine Stenosis on MRI Using CNN
  5. 405
    “…For feature extraction, we employed a lightweight CNN, which automatically extracts relevant ECG features. …”
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    Efficient Classification of ECG Images Using a Lightweight CNN with Attention Module and IoT
  6. 406
    “…The anti-spoofing strategy using a 3D CNN achieved the best results compared with classic networks.…”
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    3D CNN-based fingerprint anti-spoofing through optical coherence tomography
  7. 407
    por Bai, JianGuo, Yang, Hai, Wu, ChangDe
    Publicado 2023
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    MLACNN: an attention mechanism-based CNN architecture for predicting genome-wide DNA methylation
  8. 408
    “…We then give an overview of our dataset and propose a deep convolutional neural network (CNN) architecture consisting of 7,866,819 parameters. …”
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    Deep Multi-Branch CNN Architecture for Early Alzheimer’s Detection from Brain MRIs
  9. 409
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    Retracted: Emotion Analysis Model of Microblog Comment Text Based on CNN-BiLSTM
  10. 410
    “…Consequently, the study recommends employing a Convolutional Neural Network (CNN) for the classification of OCT images derived from the OCT dataset into distinct categories, including Choroidal NeoVascularization (CNV), Diabetic Macular Edema (DME), Drusen, and Normal. …”
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    Evaluating Retinal Disease Diagnosis with an Interpretable Lightweight CNN Model Resistant to Adversarial Attacks
  11. 411
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    Attention-Aware Patch-Based CNN for Blind 360-Degree Image Quality Assessment
  12. 412
    “…To our knowledge, this is the first time that parallel CNN-LSTM-based networks have been used in the field of CHP engine anomaly detection. …”
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    CHP Engine Anomaly Detection Based on Parallel CNN-LSTM with Residual Blocks and Attention
  13. 413
    “…RESULTS: We developed a 3D CNN model for automatically detecting the ICH from head CT scans. …”
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    Automated intracranial hemorrhage detection in traumatic brain injury using 3D CNN
  14. 414
    “…Unexpectedly, we find that PLP is specifically enriched in the outer-most regions of the PCM, where it largely co-localizes with the PCM scaffold protein Cnn. In the absence of PLP the outer PCM appears to be structurally weakened, and it rapidly disperses along the centrosomal microtubules (MTs). …”
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    The Drosophila Pericentrin-like-protein (PLP) cooperates with Cnn to maintain the integrity of the outer PCM
  15. 415
    “…SK-hep-1 cells transfected with Lentivirus-CNN2 shRNA were xenografted in Balb/C nude mice to explore the effect of CNN2-shRNA in tumor growth. …”
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    Lentivirus-mediated shRNA Targeting CNN2 Inhibits Hepatocarcinoma in Vitro and in Vivo
  16. 416
    “…In this paper, we propose an intelligent surveillance method based on the framework of Faster R-CNN for locating and identifying the invading engineering vehicles. …”
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    Engineering Vehicles Detection Based on Modified Faster R-CNN for Power Grid Surveillance
  17. 417
    “…To represent EEG data in CNN, firstly time series of each channel of EEG data was converted into the two-dimensional image. …”
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    Automatic seizure detection using three-dimensional CNN based on multi-channel EEG
  18. 418
    “…The CNN–LSTM algorithm establishes a shallow CNN to extract the primary features of the molten pool image. …”
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    A Hybrid CNN–LSTM Algorithm for Online Defect Recognition of CO(2) Welding
  19. 419
    “…By adjusting the parameters of the CNN structure, the gas LeNet-5 was improved to recognize the three categories of CO, CH(4) and their mixtures omitting the concentration influences. …”
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    Development of a LeNet-5 Gas Identification CNN Structure for Electronic Noses
  20. 420
    “…This paper proposes a novel subcellular localization method by integrating the Convolutional Neural Network (CNN) and eXtreme Gradient Boosting (XGBoost), where CNN acts as a feature extractor to automatically obtain features from the original sequence information and a XGBoost classifier as a recognizer to identify the protein subcellular localization based on the output of the CNN. …”
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    A Novel Protein Subcellular Localization Method With CNN-XGBoost Model for Alzheimer's Disease
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