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    Evaluating the performance of cultural strategies with fuzzy data envelopment analysis: a case study of ecotourism centers in Mazandaran province by Narges Larijani, Morteza Shafiee, Seyyed Najafi

    Published 2025-03-01
    “…In this article, the efficiency value of 39 ecotourism centers in Mazandaran province of Iran has been obtained with CCR input nature models and ranked with the Andersen-Petersen super-efficiency model. …”
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  3. 803

    Deep learning and capsule endoscopy: automatic identification and differentiation of small bowel lesions with distinct haemorrhagic potential using a convolutional neural network by Guilherme Macedo, Miguel José Mascarenhas Saraiva, João Afonso, Tiago Ribeiro, João Ferreira, Helder Cardoso, Ana Patricia Andrade, Marco Parente, Renato Natal, Miguel Mascarenhas Saraiva

    Published 2021-10-01
    “…This study aims to develop a CNN-based model for identification and differentiation of multiple small bowel lesions with distinct haemorrhagic potential using CE images.Design We developed, trained, and validated a denary CNN based on CE images. …”
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    Application of Multi-Scale Geological Modeling Technology in Sweet Spot Prediction of Shale Oil Reservoirs by HU Laidong, HUO Hanyong, GUAN Qianqian, TANG Caixia, TAO Ji, ZHANG Yuxuan

    Published 2025-06-01
    “…Fine 3D modeling technology comprehensively considers the complex coupling relationships between geological and engineering factors, providing scientific support and guidance for efficient development of unconventional shale oil. …”
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  6. 806

    Leveraging edge computing and deep learning for the real-time identification of bean plant pathologiesBean Plant Pathologies Dataset for Deep Learning Tasks by Andrew Katumba, Wayne Steven Okello, Sudi Murindanyi, Joyce Nakatumba-Nabende, Moses Bomera, Ben Wycliff Mugalu, Amos Acur

    Published 2024-12-01
    “…Of these challenges, diseases are recognized as a key challenge, resulting in a decline in both yield quality and quantity, and inflicting substantial financial losses on farmers.This work proposes a deep learning-based approach for precise in-field identification of diseases in bean plants. We evaluate image classification and object detection models using state-of-the-art Convolutional Neural Network (CNN) architectures to identify Angular Leaf Spot (ALS) and bean rust diseases, key bean diseases in Uganda and the region in general, from smartphone images of bean leaves collected in various districts of Uganda.The dataset employed to train these models is the Makerere University beans image dataset, comprising 15,335 images categorized into three (3) classes (ALS, bean rust, and healthy). …”
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  7. 807

    Rore: robust and efficient antioxidant protein classification via a novel dimensionality reduction strategy based on learning of fewer features by Chaolu Meng, Yongqi Hou, Quan Zou, Lei Shi, Xi Su, Ying Ju

    Published 2024-12-01
    “…Abstract In protein identification, researchers increasingly aim to achieve efficient classification using fewer features. …”
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  8. 808

    Green Supply Chains: Feature Analysis and Key Node Identification in Multi-Layer Supply Chain Networks Based on Fused Multi-Scale Metric by Shanshan Wang, Ruoxuan AI, Shoukat Iqbal Khattak, Sadia Tariq

    Published 2025-01-01
    “…The model efficiently highlighted the unexplored complexities of multi-layer supply chain networks characterized by sparsity, hierarchy, and community structures. …”
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  9. 809

    RFID‐Based Enhanced Resource Optimization for 5G/6G Network Applications by Stella N. Arinze, Augustine O. Nwajana

    Published 2025-06-01
    “…By leveraging real‐time data and intelligent resource allocation, the proposed model addresses critical challenges in modern communication systems, ensuring enhanced network efficiency, reliability, and sustainability.…”
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    Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China by Hanyu Zhang, Bingjie Liu, Bin Yang, Jiachang Guo, Zhenhua Hu, Mengtao Zhang, Zhaohui Yang, Jianshuang Zhang

    Published 2025-06-01
    “…In addition, the most suitable number of point cloud sampling of single tree is between 1,024 and 2048 when using the NGFPS method in the two deep learning models. Furthermore, feature value of elev_percentile_99th has an important influence on tree species classification and tree species with similar crown structures may lead to a higher misidentification rate.DiscussionThe study underscores the efficiency of PointMLP as a robust and streamlined solution, which offers a novel technological support for tree species classification in forestry resource management.…”
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  15. 815

    A Study on the Determination Method of the Gear Reduction Ratio for Electric Trains Considering Drive Shaft Relative Damage and Motor Efficiency by Soonhyun Kwon, Jongbok Jeong, Dongkyeom Kim, Wonsik Lim

    Published 2024-11-01
    “…The results enable the identification of a gear ratio that balances motor efficiency and reduces cumulative fatigue damage, which is especially important for maintaining long-term drivetrain durability. …”
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  16. 816

    Intelligent Classifier for Identifying and Managing Sheep and Goat Faces Using Deep Learning by Chandra Shekhar Yadav, Antonio Augusto Teixeira Peixoto, Luis Alberto Linhares Rufino, Aedo Braga Silveira, Auzuir Ripardo de Alexandria

    Published 2024-09-01
    “…The results confirm that deep learning models, particularly YOLOv8, significantly enhance the accuracy and efficiency of livestock identification and management. …”
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    YOLOPoul: Performance evaluation of a novel YOLO object detectors benchmark for multi-class manure identification to warn about poultry digestive diseases by Wenxiang Qin, Xiao Yang, Yang Wang, Yongxiang Wei, Yan Zhou, Weichao Zheng

    Published 2025-12-01
    “…To address this issue, generative models were explored for data augmentation, where denoising diffusion probabilistic models generated realistic images, showing promising potential. …”
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    On Minimizing Influences Under Multi-Attribute Models by Bo-Yao Wang

    Published 2025-06-01
    “…A key theoretical contribution is the identification of a unique, 0-normalized, and efficient multi-attribute potential function corresponding to the minimal self-stable value. …”
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