Showing 8,141 - 8,160 results of 11,103 for search 'features problems', query time: 0.15s Refine Results
  1. 8141

    Lagrangian transport based on the winds of the icosahedral nonhydrostatic model (ICON) by Jonas Sonnabend, Jens-Uwe Grooß, Felix Ploeger, Lars Hoffmann, Patrick Jöckel, Bastian Kern, Rolf Müller

    Published 2024-07-01
    “…When transport is represented employing Lagrangian methods, numerical problems representing transport barriers may be obviated. …”
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    Article
  2. 8142

    Peran Media Iklan Televisi Sebagai Media Kritik Sosial Kasus Korupsi (Studi Kasus Pada Iklan Djarum 76 Versi “Kontes Jin”) by Ita Suryani

    Published 2017-01-01
    “…Djarum 76 for example, ads Djarum 76 as we know it often featured social themes which then can be understood as a form of social criticism. …”
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    Article
  3. 8143

    Development of enriced butter by N. S. Bezverkhaya, O. A. Ogneva

    Published 2021-12-01
    “…A characteristic feature of a modern person’s life is a constant lack of free time, inadequate sleep, a sedentary lifestyle and, most importantly, an unbalanced diet. …”
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    Article
  4. 8144

    VICTIMOLOGICAL ASPECT OF A CORRUPTION DEAL by A. A. Ivanova

    Published 2015-12-01
    “…The conclusion is made about the feasibility of a legal assessment of corruption deals as a qualifying feature of a criminal offense.Scientific novelty: the article justifies the author's position in relation to an assessment of corruption victimization of the deal; victimological characteristic of a corrupt deals victim are given; critical analysis of basic victimological concepts is made to identify the potential corrupt deals victims and ensure victim safety.Practical significance: the idea is expressed of reorienting public consciousness, views on corruption as a way of solving problems; of changing tolerance to corruption, due to which the legal subjects become victims of corrupt deals; of amending the anti-corruption policies towards more careful attention to the protection of the legal relations subjects against the corruption threat.…”
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    Article
  5. 8145

    IMRMB-Net: A lightweight student behavior recognition model for complex classroom scenarios. by Caihong Feng, Zheng Luo, Deyao Kong, Yunhong Ding, Jingyu Liu

    Published 2025-01-01
    “…To address the above problems, this study proposes a lightweight student behavior recognition model based on Inverted Residual Mobile Block (IMRMB-Net). …”
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    Article
  6. 8146

    A Study of Potential Applications of Student Emotion Recognition in Primary and Secondary Classrooms by Yimei Huang, Wei Deng, Taojie Xu

    Published 2024-11-01
    “…Emotion recognition is critical to understanding students’ emotional states. However, problems such as crowded classroom environments, changing light, and occlusion often affect the accuracy of recognition. …”
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    Article
  7. 8147

    Multi-Sensor Information Fusion Positioning of AUKF Maglev Trains Based on Self-Corrected Weighting by Qian Hu, Hong Tang, Kuangang Fan, Wenlong Cai

    Published 2025-04-01
    “…Aiming at magnetic levitation train positioning, there are problems such as being easily interfered with by external noise, the single positioning method, and traditional weighting affected by historical data, which lead to the deviation of positioning fusion results. …”
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    Article
  8. 8148

    Silent speech recognition using visual cascading fusion of tongue-lip movements based on pre-trained and fine-tuned model by Chongchong Yu, Xuening Wang, Zhaopeng Qian

    Published 2025-04-01
    “…Besides, the pre-trained and fine-tuned frameworks based on Visual-HuBERT using masked technology are used to address the overfitting problems of model due to a lack of training data. The proposed model is evaluated based on the TaL and self-made Chinese data corpus. …”
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    Article
  9. 8149

    Multi-UAVs task allocation method based on MPSO-SA-DQN by Peng Pengfei, Gong Xue, Zheng Yalian

    Published 2025-08-01
    “…Although many methods are proposed to solve the Multi-UAV task allocation, there still existing the problems of complex time constraints and uncertain solution space. …”
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    Article
  10. 8150

    RRBM-YOLO: Research on Efficient and Lightweight Convolutional Neural Networks for Underground Coal Gangue Identification by Yutong Wang, Ziming Kou, Cong Han, Yuchen Qin

    Published 2024-10-01
    “…Coal gangue identification is the primary step in coal flow initial screening, which mainly faces problems such as low identification efficiency, complex algorithms, and high hardware requirements. …”
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    Article
  11. 8151

    STRUCTURAL SYNTHESIS OF NAVIGATION SUPPORT OF TRIAD INTEGRATED NAVIGATION SYSTEM ON THE BASIS OF INERTIAL AND SATELLITE TECHNOLOGIES by V. S. Maryukhnenko, V. V. Erokhin

    Published 2017-09-01
    “…It is shown that the use of the proposed navigation system as a navigation aid for problem solving of highly accurate aircraft position indication satisfies the requirements for navigation and timing data accuracy. …”
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    Article
  12. 8152

    Generation of a Social Network Graph by Using Apache Spark by Y. A. Belov, S. I. Vovchok

    Published 2016-12-01
    “…This algorithm also considers the problems that are present in similar works of other authors, for example, the multiple edges problem in the generation process. …”
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    Article
  13. 8153

    Development of dialectical thinking in education by Eugeny E. Krasheninnikov, Larisa F. Bayanova

    Published 2025-04-01
    “…One of such children’s cognitive deve­lopment methods is dialectical thinking in solving contradictory problems. …”
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  14. 8154

    Research on morphological knowledge-guided low-resource agglutinative languages-Chinese translation by Gulinigeer Abudouwaili, Sirajahmat Ruzmamat, Kahaerjiang Abiderexiti, Tuergen Yibulayin, Nian Yi, Aishan Wumaier

    Published 2025-02-01
    “…Abstract Data sparsity and out-of-vocabulary are the main challenges in low-resource machine translation, and the impact of such problems in translation can be reduced through word segmentation. …”
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    Article
  15. 8155

    Graph Isomorphism and Hybrid-Order Residual Gated Graph Neural Network for Session-Based Recommendation by WANG Yonggui, YU Qi

    Published 2025-02-01
    “…Firstly, graph isomorphic network is used to aggregate feature vectors of adjacent items, which can effectively fuse global and local information, solving the problem that graph neural network is good at capturing local connections between nodes and ignoring global information. …”
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    Article
  16. 8156

    Hybrid attention transformer integrated YOLOV8 for fruit ripeness detection by Jianyin Tang, Zhenglin Yu, ChangShun Shao

    Published 2025-07-01
    “…In addition, during the feature fusion stage, the Hybrid Attention Transformer (HAT) module is integrated into TopDownLayer2 to enhance the capture of long-term dependencies and the recovery of detailed information in the input data. …”
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    Article
  17. 8157

    Robot Visual Tracking Model Based on Improved GOTURN-LD Algorithm by Lijuan Xu, Dalong Liu, Huanjian Ma

    Published 2024-01-01
    “…As the key performance of visual tracking, it still has the problems of low tracking accuracy and poor real-time performance. …”
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    Article
  18. 8158

    To the question of the thermal conductivity of metallic nanothreads and nanofilms by V.M. Yurov, G.A. Ranova, S.A. Guchenko, V.Ch. Laurynas

    Published 2018-12-01
    “…Studies show that there are significant differences in the nature of heat transfer within macroscopic bodies and in nanostructures. Another feature of this problem is the large variety of objects that require the development of special theoretical and experimental research methods. …”
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    Article
  19. 8159

    Analytical quality control of wines and wine materials by N. T. Siyukhova, Z. T. Tazova, L. V. Lunina, Z. N. Blyagoz

    Published 2023-02-01
    “…Ensuring food safety of the quality of sold products is one of the urgent problems of the wine industry. The trend of falsification of well-known brands of domestic and imported wines is a characteristic feature of the modern market of wine products. …”
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    Article
  20. 8160

    Machine Learning for Dynamic Pressure Coefficient Prediction in Vertical Water Jets by Amin Salemnia, Seyedehmaryam Hosseini Boldaji, Vida Atashi, Manoochehr Fathi-Moghadam

    Published 2024-09-01
    “…Residual analysis validated its better performance, demonstrating that it delivered the most accurate predictions with minimal bias. Feature importance analysis revealed the Froude number was the most significant predictor, followed by slope and diameter. …”
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