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    An efficient hybrid Hopfield convolutional neural network for detecting spam bots in Twitter platform by A.V. Santhosh Kumar, N. Suresh Kumar, R. Kanniga Devi

    Published 2025-12-01
    “…Twitter is one of the social media platforms on which a huge number of people exchange their messages by posting tweets. However, this platform is usually used by automated accounts called bots. …”
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    Article
  4. 44

    Audio copy-move forgery detection with decreasing convolutional kernel neural network and spectrogram fusion by Canghong Shi, Xin Qiu, Min Wu, Xianhua Niu, Xiaojie Li, Sani M. Abdullahi

    Published 2025-07-01
    “…We solve the problem of different sensitivities by sequentially lowering the parameters of the convolutional layers in the four convolutional groups, thus obtaining high accuracy in audio classification. …”
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  5. 45

    Optimizing non small cell lung cancer detection with convolutional neural networks and differential augmentation by Vahiduddin Shariff, Chiranjeevi Paritala, Krishna Mohan Ankala

    Published 2025-05-01
    “…Additionally, statistical analyses, including Tukey’s HSD post-hoc tests, confirmed the significance of the model’s superior performance. …”
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  6. 46

    The use of a convolutional neural network to automate radiologic scoring of computed tomography of paranasal sinuses by Daniel J. Lee, Mohammad Hamghalam, Lily Wang, Hui-Ming Lin, Errol Colak, Muhammad Mamdani, Amber L. Simpson, John M. Lee

    Published 2025-04-01
    “…This proof-of-concept study aimed to develop an automated algorithm combining a convolutional neural network (CNN) for sinus segmentation with post-processing to compute LMS directly from CT scans. …”
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    Article
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    Bone Segmentation in Low-Field Knee MRI Using a Three-Dimensional Convolutional Neural Network by Ciro Listone, Diego Romano, Marco Lapegna

    Published 2025-05-01
    “…This accuracy results from meticulous fine-tuning of the network, along with the application of advanced data augmentation and post-processing techniques.…”
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    Article
  14. 54

    Enhanced Adaptive Wiener Filtering for Frequency-Varying Noise with Convolutional Neural Network-Based Feature Extraction by Chun-Lin Liao, Jian-Jiun Ding, De-Yan Lu

    Published 2025-05-01
    “…To overcome this limitation, we post-process the noise and interpolate it between the denoised and original noisy patches to enhance the denoised image. …”
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    EFFResNet-ViT: A Fusion-Based Convolutional and Vision Transformer Model for Explainable Medical Image Classification by Tahir Hussain, Hayaru Shouno, Abid Hussain, Dostdar Hussain, Muhammad Ismail, Tatheer Hussain Mir, Fang Rong Hsu, Taukir Alam, Shabnur Anonna Akhy

    Published 2025-01-01
    “…The extracted features are further refined through a post-transformer CNN and a global average pooling layer to enhance the classification performance. …”
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    Article
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