Showing 1 - 20 results of 6,789 for search '(feature OR features) ability', query time: 0.19s Refine Results
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    Methods for Cognitive Diagnosis of Students’ Abilities Based on Keystroke Features by Xu Chi, Xinyu Guo, Yu Sheng

    Published 2025-04-01
    “…Research combined with keystroke features is still in its initial stage. Due to the independence and discreteness of keystroke data, and the lack of a clear requirement for the selection of the number of clusters in traditional clustering algorithms, this selection is rather arbitrary, and outliers will affect the clustering effect. …”
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    Study on Quantitative Evaluation Method of Balance Ability in Cancer Patients Based on Gait Features by Junjie LIU, Xu ZHOU, Chao YU, Qingqing CAO, Zhiming YAO, Wanqiu ZHANG, Ling ZHANG, Wanqing YAO, Ning LIN

    Published 2025-07-01
    “…A method for evaluating balance ability based on gait features is proposed, providing a quantitative tool for personalized rehabilitation interventions in cancer patients.…”
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    Perceptual and semantic maps in individual humans share structural features that predict creative abilities by Johannes P.-H. Seiler, Jonas Elpelt, Aida Ghobadi, Matthias Kaschube, Simon Rumpel

    Published 2025-02-01
    “…While recently specific structural features of semantic representational maps were linked with creative abilities of individual humans, it remains unclear if these features are also shared on lower level, perceptual maps. …”
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    MRA-YOLOv8: A Network Enhancing Feature Extraction Ability for Photovoltaic Cell Defects by Nannan Wang, Siqi Huang, Xiangpeng Liu, Zhining Wang, Yi Liu, Zhe Gao

    Published 2025-03-01
    “…This module provides finer-grained multi-scale features, improving feature extraction from complex backgrounds and enhancing the model’s robustness. …”
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    Ability of Human Auditory Perception to Distinguish Human-Imitated Speech by Khalid Zaman, Kai Li, Islam J. A. M. Samiul, Yasufumi Uezu, Shunsuke Kidani, Masashi Unoki

    Published 2025-01-01
    “…Additionally, a feasibility study was conducted using two feature sets for machine classification; among the timbral features, boominess and depth performed best with accuracies of 62% and 60%, respectively, while general features like Mel-spectrograms reached 51%. …”
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    Feature Graph Construction With Static Features for Malware Detection by Binghui Zou, Chunjie Cao, Longjuan Wang, Yinan Cheng, Chenxi Dang, Ying Liu, Jingzhang Sun

    Published 2025-01-01
    “…And mere concatenation of features will reduce the model’s characterization ability, lead to low detection accuracy. …”
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    Electronic Library Systems in the Focus of Digital Didactics and Cognitive Features of the Digital Generation by N. I. Gendina, E. V. Kosolapova

    Published 2024-05-01
    “…Representatives of this digital generation are integrated into digital society from their birth, so they have views, attitudes and values that differ from the worldview of older generations. The distinctive features and problems of developing the cognitive abilities of Z generation are considered. …”
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    Deep and Shallow Feature Fusion in Feature Score Level for Palmprint Recognition by Yihang Wu, Junlin Hu

    Published 2024-01-01
    “…Recent palmprint recognition methods have shown promising accuracy; however, there still exist some issues that need to be further studied such as the limited discrimination of the single feature and how to effectively fuse deep features and shallow features. …”
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    A feature selection method with feature ranking using genetic programming by Guopeng Liu, Jianbin Ma, Tongle Hu, Xiaoying Gao

    Published 2022-12-01
    “…Feature selection based on evolutionary computation (EC) algorithms can often achieve better classification performance because of their global search ability. …”
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    Efficiency-Sensitive Feature Selection and Probabilistic Feature Transfer for Scenic Image Recomposition by Zhendong Du, Yu Yu

    Published 2025-01-01
    “…Following this, we formulate a time-sensitive feature selector to obtain high-quality visual features from different scenic patches. …”
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