Showing 2,501 - 2,520 results of 11,103 for search 'features problems', query time: 0.12s Refine Results
  1. 2501

    Software Defect Prediction For Quality Evaluation Using Learning Techniques Ensemble Stacking by Muhammad Romadhona Kusuma, Windu Gata, Sigit Kurniawan, Dedi Dwi Saputra, Supriadi Panggabean

    Published 2023-11-01
    “…The preprocessing process involved label encoding, feature selection with Pearson correlation, standard normalization, and the use of SMOTE to handle data imbalance. …”
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    Article
  2. 2502

    Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine Learning by Muhammad Asim Saleem, Ashir Javeed, Watit Benjapolakul, Wattanasak Srisiri, Surachai Chaitusaney, Pasu Kaewplung

    Published 2025-01-01
    “…This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction model (N-XGB), a hybrid model that combines neural networks (NN) for feature extraction with XGBoost for classification. …”
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    Article
  3. 2503

    Recognition of Impact Load on Connecting-Shaft Rotor System Based on Motor Current Signal Analysis by Kun Zhang, Zhaojian Yang, Qingbao Bao, Jianwen Zhang

    Published 2024-10-01
    “…These findings indicate that using the motor current as the analysis signal can solve the problem of the difficult layout for traditional vibration sensors in rolling sites. …”
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    Article
  4. 2504

    Grape cluster detection based on spatial-to-depth convolution and attention mechanism by Shuai Rong, Xinghai Kong, Ruibo Gao, Zhiwei Hu, Hua Yang

    Published 2024-12-01
    “…Secondly, based on the problem of information loss in grape cluster detection, a plug-and-play module of spatial-to-depth convolution (STD-Conv) is added to enrich grape cluster feature information. …”
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    Article
  5. 2505

    Enhancing the data processing speed of a deep-learning-based three-dimensional single molecule localization algorithm (FD-DeepLoc) with a combination of feature compression and pip... by Shuhao Guo, Jiaxun Lin, Yingjun Zhang, Zhen-Li Huang

    Published 2025-03-01
    “…This new algorithm uses the feature compression method to reduce the parameters of the model, and combines it with pipeline programming to accelerate the inference process of the deep learning model. …”
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    Article
  6. 2506

    GCV-SLAM: Ground Constrained Visual SLAM Through Local Ground Planes by Yu Fan, Peng Zhang, Zhi Wang, Chengbao Liu, Guang Zhang

    Published 2025-01-01
    “…To avoid the over-parameterization problem in the graph-factor-based optimization process, the Closest Point(CP) representation is adopted to describe the local ground plane. …”
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    Article
  7. 2507

    MambaPose: A Human Pose Estimation Based on Gated Feedforward Network and Mamba by Jianqiang Zhang, Jing Hou, Qiusheng He, Zhengwei Yuan, Hao Xue

    Published 2024-12-01
    “…We used slice downsampling (SD) to reduce the resolution of the feature map to half the original size, and then fused local features from four different locations. …”
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    Article
  8. 2508

    A Multiangle MIMO-SAR Fusion Imaging Method Based on Improved Range Migration Algorithm and Improved Geographic Information Scale Invariant Feature Transform Algorithm by Fang Zhou, Zhikuan Jiao, Guoqing Shen, Mengdao Xing, Marina Gashinova

    Published 2025-01-01
    “…Finally, an improved method of geographic information-scale invariant feature transform is used to achieve the efficiency fusion of multi-angle imaging results. …”
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    Article
  9. 2509

    A Feature Extraction Method of Ship Underwater Noise Using Enhanced Peak Cross-Correlation Empirical Mode Decomposition Method and Multi-Scale Permutation Entropy by Peng Liu, Chen Dai, Shuaiqiang Li, Hui Jin, Xinfu Liu, Guijie Liu

    Published 2024-12-01
    “…A feature extraction method based on the combination of improved empirical modal decomposition (IEMD) and multi-scale permutation entropy (MPE) is proposed to address the problem of inaccurate recognition and classification of ship noise signals under complex environmental conditions. …”
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    Article
  10. 2510

    A Two-Branch ResNet-BiLSTM Deep Learning Framework for Extracting Multimodal Features Applied to PPG-Based Cuffless Blood Pressure Estimation by Zenan Liu, Minghong Qiao, Yezi Liu, Jing Zhang, Ling He

    Published 2025-06-01
    “…The ResNet branch processes 60 features selected by Support Vector Machine-Recursive Feature Elimination (SVM-RFE) from manually extracted features, including our newly proposed trend features, while the BiLSTM branch processes complete PPG waveforms. …”
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    Article
  11. 2511

    Structural and functional changes in the heart and clinical features of heart failure with preserved left ventricular ejection fraction in patients after myocardial infarction, com... by V. D. Syvolap, Ya. V. Zemlyaniy

    Published 2013-12-01
    “…Given the important role of diastolic dysfunction in the formation of heart failure in postinfarction patients with concomitant arterial hypertension, the mechanisms of its impact on clinical features and structural-functional changes of the heart is an actual problem. …”
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  12. 2512

    Perampanel in the additional therapy of focal and primary generalized tonic-clonic seizures in children 4–12 years old: clinical data, experience of use and practical recommendatio... by K. Yu. Mukhin, E. D. Belousova, S. G. Burd, M. V. Barkhatov, N. A. Ermolenko, S. K. Zyryanov, E. I. Karpovich, E. A. Morozova, G. V. Odintsova

    Published 2021-07-01
    “…During the event, the features of the use of perampanel in this group of patients were discussed, considering the specifics of everyday clinical practice, current possibilities of PGTCS and FS therapy in children, its goals, as well as unsolved problems in the treatment of pediatric patients with PGTCS and FS. …”
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  13. 2513
  14. 2514

    Directions of the industrial enterprise management system digitalization based on the artificial intelligence technologies introduction in the context of achieving its sustainable... by Kiseleva, Oksana N., Rodionov, Alexander S.

    Published 2025-05-01
    “…The development of classification features of artificial intelligence is proposed depending on the functions performed and the corresponding participation in the processes of development and implementation of management decisions, which will contribute to improving the efficiency of the industrial enterprises’ management system and “accelerating” their ESG transformation.…”
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    Article
  15. 2515

    Linear Time Train Contraction Minor Labeling for Railway Line Capacity Analysis by Qinglun Zhong, Ruihua Xu

    Published 2024-09-01
    “…Abstract When no more than one train is feasibly contained in the separation headway times of two other trains, a triangular gap problem-based method is used to compute the consumed capacity in linear time. …”
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  16. 2516
  17. 2517

    Education in Post-Conflict Societies: Angola and Mozambique’s Path to an Accessible and Sovereign Education System by GRIBANOVA Valentina Valerievna, GRISHINA Nina Vladimirovna

    Published 2025-07-01
    “…Colonial education was modeled on the metropolis, and its characteristic feature was the almost complete exclusion of the indigenous population from the system of education. …”
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  18. 2518
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  20. 2520

    Identifying student help-seeking behavior patterns and help-seeking tendencies from student problem-solving and help-seeking behavior data: An educational data mining approach by Chih-Yueh Chou, Wei-Han Chen

    Published 2025-04-01
    “…First, nine observable problem-solving and help-seeking features for identifying help-seeking behavior patterns were established. …”
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    Article