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    An Automatic System for Atrial Fibrillation by Using a CNN-LSTM Model by Fengying Ma, Jingyao Zhang, Wei Chen, Wei Liang, Wenjia Yang

    Published 2020-01-01
    “…The CNN-LSTM is feeded by processed data to automatically detect AF signals. …”
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    Article
  3. 23

    Enhancing Sentiment Analysis with a CNN-Stacked LSTM Hybrid Model by Shao Shuaijie

    Published 2025-01-01
    “…This model uses CNN for its advantage of capturing local features in the sequence after the embedding process, and LSTM for its advantage of capturing long-term dependencies in such sequential data after CNN layer. …”
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    Article
  4. 24

    A Block-Based and Highly Parallel CNN Accelerator for Seed Sorting by Xiaoting Sang, Zhenghui Hu, Huanyu Li, Chunlei Li, Zhoufeng Liu

    Published 2022-01-01
    “…The seed sorting methods based on convolutional neural networks (CNNs) have achieved excellent recognition accuracy on large-scale pretrained network models. However, CNN inference is a computationally intensive process that often requires hardware acceleration to operate in real time. …”
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    Article
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    A CNN-Based Microwave Imaging System for Detecting Watermelon Ripeness by Zachary M. Choffin, Lingyan Kong, Yu Gan, Nathan Jeong

    Published 2025-01-01
    “…A convolutional neural network (CNN) was employed to assess the ripeness level, which was determined by analyzing the Brix sugar content. …”
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    Article
  7. 27

    CNN-Based Pupil Center Detection for Wearable Gaze Estimation System by Warapon Chinsatit, Takeshi Saitoh

    Published 2017-01-01
    “…This paper presents a convolutional neural network- (CNN-) based pupil center detection method for a wearable gaze estimation system using infrared eye images. …”
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    Article
  8. 28

    Pendeteksi Citra Masker Wajah Menggunakan CNN dan Transfer Learning by Mohammad Farid Naufal, Selvia Ferdiana Kusuma

    Published 2021-11-01
    “…Convolutional Neural Network (CNN) merupakan algoritma deep learning yang memiliki performa bagus dalam klasifikasi citra. …”
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    Article
  9. 29

    Research on Feature Extracted Method for Flutter Test Based on EMD and CNN by Hua Zheng, Zhenglong Wu, Shiqiang Duan, Jiangtao Zhou

    Published 2021-01-01
    “…The IMFs are then reshaped to make them the suitable size to be input to the CNN. The CNN parameters are optimized though the training dataset, and the trained model is validated through the test dataset (i.e., cross-validation). …”
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    Article
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    Comparative Analysis of Vanilla CNN and Transfer Learning Models for Glaucoma Detection by Brendan Ubochi, Abayomi E. Olawumi, John Macaulay, Oyawoye I. Ayomide, Kayode F. Akingbade

    Published 2024-01-01
    “…Hence, in this work, a comparative analysis is performed on vanilla CNN, AlexNet, GoogLeNet, and ResNet50 using two popular glaucoma datasets (ACRIMA and ORIGA). …”
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    Article
  12. 32

    Remaining Useful Life Prediction of Milling Tool Based on Pyramid CNN by Ning Hu, Zhenguo Liu, Shixin Jiang, Quanzhou Li, Shuqi Zhong, Bingquan Chen

    Published 2023-01-01
    “…To address the issue, a pyramid CNN (PCNN) is proposed for RUL prediction of the milling tool in this paper. …”
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    Article
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    Continuous Wavelet Transform and CNN for Fault Detection in a Helical Gearbox by Iulian Lupea, Mihaiela Lupea

    Published 2025-01-01
    “…This paper studies the relevance of CWT (continuous wavelet transform) processing of vibration signals for improving the performance of CNN-based models that detect certain types of helical gearbox faults. …”
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    Article
  15. 35

    Assessment model of ozone pollution based on SHAP-IPSO-CNN and its application by Xiaolei Zhou, Xingyue Wang, Ruifeng Guo

    Published 2025-01-01
    “…To address this problem, a convolutional neural network (CNN) model combining the improved particle swarm optimization (IPSO) algorithm and SHAP analysis, called SHAP-IPSO-CNN, is developed in this study, aiming to reveal the key factors affecting ground-level ozone pollution and their interaction mechanisms. …”
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    Article
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    Transfer Learning for CNN-Based Damage Detection in Civil Structures with Insufficient Data by Mona Chamangard, Gholamreza Ghodrati Amiri, Ehsan Darvishan, Zahra Rastin

    Published 2022-01-01
    “…According to the results, the compact CNN can reach 100% accuracy when data are available for training. …”
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    Article
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    Deep Learning Implementation Using CNN to Classify Bali God Sculpture Pictures by Ni Luh Gede Pivin Suwirmayanti, I Wayan Budi Sentana, I Ketut Gede Darma Putra, Made Sudarma, I Made Sukarsa, Komang Budiarta

    Published 2024-07-01
    “…We compared our CNN model with two other models, AlexNet and ResNet, based on the experimental results. …”
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    Article