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Mostrando 241 - 260 Resultados de 8,800 Para Buscar '"CNN"', tiempo de consulta: 1.83s Limitar resultados
  1. 241
    “…Here, CNN is used to learn spatial patterns and LSTM is incorporated for temporal feature extraction. …”
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    Solar Power Prediction Using Dual Stream CNN-LSTM Architecture
  2. 242
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    Application of a Novel Hybrid CNN-GNN for Peptide Ion Encoding
  3. 243
    por Liu, Xinyu, Cao, Chenhong, Duan, Shengyu
    Publicado 2023
    “…Convolutional neural network (CNN) is widely deployed on edge devices, performing tasks such as objective detection, image recognition and acoustic recognition. …”
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    A Low-Power Hardware Architecture for Real-Time CNN Computing
  4. 244
    Publicado 2007
    “…Becky Anderson, from CNN International was today at CERN for a report. (1 paragraph)…”
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    Une journaliste de CNN au CERN. 20 minutes y était
  5. 245
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    Cross-Domain Transfer of EEG to EEG or ECG Learning for CNN Classification Models
  6. 246
    “…Experimental results show the efficacy of CNN features over manually extracted features and model can detect brain tumor with a 99.9% accuracy. …”
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    Combining CNN Features with Voting Classifiers for Optimizing Performance of Brain Tumor Classification
  7. 247
    “…The first strategy for analyzing ALL images of the two datasets is the hybrid technique of CNN-RF and CNN-XGBoost. DenseNet121, ResNet50, and MobileNet models extract deep feature maps. …”
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    Hybrid Techniques for the Diagnosis of Acute Lymphoblastic Leukemia Based on Fusion of CNN Features
  8. 248
    “…Here in this study, we present CNN_FunBar, a convolutional neural network-based approach for the classification of fungi ITS sequences from UNITE+INSDC reference datasets. …”
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    CNN_FunBar: Advanced Learning Technique for Fungi ITS Region Classification
  9. 249
    por Jeong, Hyein, Lee, Heoncheol
    Publicado 2023
    “…This paper proposes a method for CNN-based fault detection of the scan-matching algorithm for accurate SLAM in dynamic environments. …”
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    CNN-Based Fault Detection of Scan Matching for Accurate SLAM in Dynamic Environments
  10. 250
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    Blockchain-Based Deep CNN for Brain Tumor Prediction Using MRI Scans
  11. 251
    por Türk, Fuat, Kökver, Yunus
    Publicado 2023
    “…In this study, a three-channel fusion CNN model is applied to effectively detect lung opacity on a balanced dataset compiled from public datasets. …”
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    Detection of Lung Opacity and Treatment Planning with Three-Channel Fusion CNN Model
  12. 252
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    CNN-Based Laue Spot Morphology Predictor for Reliable Crystallographic Descriptor Estimation
  13. 253
    “…In this experiment, we adopt CNN to build our model by analyzing features from the vast COVID-19 dataset to predict long-term outbreaks to present early prevention. …”
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    DeepCov: Effective Prediction Model of COVID-19 Using CNN Algorithm
  14. 254
    Publicado 2023
    “…The proposed spatial-temporal CNN is shown to effectively exploit the spatial relationships in HD fNIRS measurements to improve the classification of the functional haemodynamic response, achieving an average F1 score of 0.69 across seven subjects in a mixed subjects training scheme, and improving subject-independent classification as compared to a standard temporal CNN.…”
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    System Derived Spatial-Temporal CNN for High-Density fNIRS BCI
  15. 255
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    CNN-Based Identification of Parkinson’s Disease from Continuous Speech in Noisy Environments
  16. 256
    “…In this research, three different types of CNN models are proposed: a straightforward CNN model (1-CNN), a fusion CNN model (2-CNN), and a three CNN model (3-CNN). …”
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    Detection and Classification of Histopathological Breast Images Using a Fusion of CNN Frameworks
  17. 257
    por Zheng, Jiebing, Zhang, Tao
    Publicado 2023
    “…Finally, the difference image is input into an improved Faster R-CNN network for detection. The proposed method has been validated on a self-developed wafer dataset and compared with other detectors. …”
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    Wafer Surface Defect Detection Based on Background Subtraction and Faster R-CNN
  18. 258
    por Sun, Jie
    Publicado 2023
    “…Morphology features of the raw ECG signals are extracted by CNN blocks and fed into a bidirectional gated recurrent unit (GRU) network. …”
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    Automatic cardiac arrhythmias classification using CNN and attention‐based RNN network
  19. 259
    “…In this paper, a new strategy for building and optimizing 1D-CNN models is proposed that is suitable for diagnosing damage to different types of structure. …”
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    Bayesian-Based Hyperparameter Optimization of 1D-CNN for Structural Anomaly Detection
  20. 260
    “…Secondly, interactive attention module is embedded into CNN to extract semantic features, which adds data interaction between two CNN layers. …”
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    3D model retrieval based on interactive attention CNN and multiple features
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