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  1. 2421
  2. 2422

    Innovative Hard Isolation Techniques in GPON for Modern Power Distribution Networks by Jiangang Lu, Jiajia Fu, Xingnan Li, Yutu Liang

    Published 2024-01-01
    “…Traditional communication methods, which often require separate networks for different services, lead to increased equipment, limited installation space, and higher consumption of optical fiber resources. …”
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  3. 2423

    On the Minimum Dataset Requirements for Fine-Tuning an Object Detector for Arable Crop Plant Counting: A Case Study on Maize Seedlings by Samuele Bumbaca, Enrico Borgogno-Mondino

    Published 2025-06-01
    “…This study investigated how much annotated data is required to achieve standard counting accuracy (R<sup>2</sup> = 0.85) for maize seedlings across different object detection approaches. We systematically evaluated traditional deep learning models requiring many training examples (YOLOv5, YOLOv8, YOLO11, RT-DETR), newer approaches requiring few examples (CD-ViTO), and methods requiring zero labeled examples (OWLv2) using drone-captured orthomosaic RGB imagery. …”
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  4. 2424

    Application of machine learning for predicting the incubation period of water droplet erosion in metals by Khaled AlHammad, Mamoun Medraj, Moussa Tembely

    Published 2025-07-01
    “…Data transformation methods significantly enhanced model performance, with the LR model using Box-Cox transformation achieving the highest accuracy (R2 > 90%, low MAE), followed by the ANN model with Yeo-Johnson transformation (R2 > 85%). …”
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  5. 2425
  6. 2426

    Hybrid deep learning framework based on EfficientViT for classification of gastrointestinal diseases by Vishesh Tanwar, Bhisham Sharma, Dhirendra Prasad Yadav, Abolfazl Mehbodniya

    Published 2025-07-01
    “…The proposed Efficient Vision Transformer (EfficientViT) is a new deep learning-based model using EfficientNetB0 in combination with the Vision Transformer (ViT) for the classification of eight different types of diseases in the GI system. …”
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  7. 2427
  8. 2428

    Predicting steady degradation in ship power system: A deep learning approach based on comprehensive monitoring parameters by Xingshan Chang, Xiaojian Xu, Bohua Qiu, Muheng Wei, Xinping Yan, Jie Liu

    Published 2024-12-01
    “…Addressing the challenge of predicting the SD process, this study introduces the YC2Model, a system‐level predictive method that integrates encoding time slice data to images (ETSD2I) with a convolutional neural network and Transformer. …”
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  9. 2429

    A non-anatomical graph structure for boundary detection in continuous sign language by Razieh Rastgoo, Kourosh Kiani, Sergio Escalera

    Published 2025-07-01
    “…During the second step, the sliding window method with the pre-defined window size is moved on the continuous sign video, including the un-processed isolated sign videos with different frame lengths. …”
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  10. 2430

    Biological properties of the compounds formed by the combination of the 1,2,4-triazoles, furans and other functional substitutes by D. M. Danilchenko, V. V. Parchenko, O. I. Panasenko, Ye. G. Knysh

    Published 2015-12-01
    “…To study biological properties of the compounds formed by the combination of the 1,2,4-triazoles, furans and other functional substitutes. Methods and results. It is known that 1,2,4-triazole heterocyclic system is promising for creation of new biologically active molecules. …”
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  11. 2431

    The Role of Landscape Metrics and Spatial Processes in Performance Evaluation of GEOMOD (Case Study: Neka River Basin) by Shrif Joorabian Shooshtari, Kamran Shayesteh, Mehdi Gholamalifard, Mahmood Azari, Juan Ignacio López-Moreno

    Published 2017-09-01
    “…The main objectives of this study are (1) simulation of Hyrcanian Forest changes in Neka River Basin using GEOMOD; (2) performance evaluation of the GEOMOD model using landscape metrics and spatial processes in landscape transformation. 2-Materials and Methods Neka River Basin is located in the east of Mazandaran province, north of Iran. …”
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  12. 2432

    GM2FFNet: Grouped Multiscale Multiangle Feature Fusion Network With Center Attention for Hyperspectral Image Classification by Junding Sun, Haoxiang Dong, Yanlong Gao, Xiaosheng Wu, Jianlong Wang, Yudong Zhang

    Published 2025-01-01
    “…Convolutional neural networks and transformers have been extensively utilized in hyperspectral image classification due to their exceptional feature learning capabilities. …”
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  13. 2433

    Artistic life of North Ossetia in the context of socio-political and economic changes (1991-2001) by Z. A. Turgieva

    Published 2024-09-01
    “…Using retrospective and historical-comparative methods, the author has identified the main directions of the artistic life in the republic, as well as the key problems that hindered its qualitative development in the region.Analysis. …”
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  14. 2434
  15. 2435

    Research on Arthroscopic Images Bleeding Detection Algorithm Based on ViT-ResNet50 Integrated Model and Transfer Learning by Zewen Liu, Shaoyi Zhou, Jianqiao Chu, Zhiyuan Chai, Dongdong Chang, Yi Yuan, Jinling Qin, Xiancheng Wang

    Published 2024-01-01
    “…Then, a difference-enhanced proportional sampling method is proposed to enhance the unbalanced data. …”
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  16. 2436
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  18. 2438

    Proposed Quality Control Charts Using Haar Wavelet Coefficients for Enhanced Production Monitoring by Sarah Ameen, taha ali

    Published 2025-06-01
    “…The new proposed charts are based on a method called wavelet transform for Haar wavelet. …”
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  19. 2439

    Virtual teams formation: Remote team building and leadership by L. V. Kozhevnikova, I. E. Starovoytova

    Published 2022-06-01
    “…The main directions of the team leadership transformation are revealed. The problems faced by the leadership of virtual teams at differents stages of their formation, group dynamics are shown remote team-building tools for their resolution are suggested. …”
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  20. 2440

    Assessment of Digitalization of Interaction Between the State and Citizens by E. I. Dobrolyubova, A. N. Starostina

    Published 2021-05-01
    “…To achieve the objective, theoretical methods (comparative analysis, synthesis, and generalization), modelling, and correlation analysis were used. …”
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