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  1. 641

    Lightweight Deep Learning Model for Fire Classification in Tunnels by Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, Young-Im Cho

    Published 2025-02-01
    “…This paper presents a novel lightweight deep learning (DL) model specifically designed for real-time fire classification in tunnel environments. This model integrates MobileNetV3 for spatial feature extraction, Temporal Convolutional Networks (TCNs) for temporal sequence analysis, and advanced attention mechanisms, including Convolutional Block Attention Modules (CBAMs) and Squeeze-and-Excitation (SE) blocks, to prioritize critical features such as flames and smoke patterns while suppressing irrelevant noise. …”
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  2. 642

    State financial assistance: essence, identification criteria, classification by N.G., O.V.

    Published 2023-12-01
    “…The article is devoted to the study of the essence, identification criteria and classification of state financial assistance. It was noted that the variety of forms, types, and directions of provision of grant funds determines the need to clarify the theoretical foundations of providing state financial support to economic entities, which actualizes the topic of scientific research. …”
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  3. 643

    Classification of Liver Fibrosis From Heterogeneous Ultrasound Image by Yunsang Joo, Hyun-Cheol Park, O-Joun Lee, Changhan Yoon, Moon Hyung Choi, Chang Choi

    Published 2023-01-01
    “…We especially show that the performance measured in the evaluation data including the internal domain was much higher than the performance measured in the evaluation data consisting of the external domain. We also show that 3-level classification performance is slightly improved over 5-level classification by mitigating class imbalance by integrating similar classes. …”
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  4. 644

    Deep learning approach for automated hMPV classification by Sivarama Prasad Tera, Ravikumar Chinthaginjala, Irum Shahzadi, Priya Natha, Safia Obaidur Rab

    Published 2025-08-01
    “…This study proposes a novel deep learning framework, referred to as hMPV-Net, which leverages Convolutional Neural Networks (CNNs) to facilitate the precise detection and classification of hMPV infections. The CNN model is designed to perform binary classification by differentiating between hMPV-positive and hMPV-negative cases. …”
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