Showing 1 - 20 results of 7,971 for search '(selection OR detection) reaching', query time: 0.20s Refine Results
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    Early Detection via EEG Signals of Self-Initiated Reaching and Grasping Movements Performed With the Subject’s Selected Upper Extremity by Jorge A. Sanchez-Bautista, Javier M. Antelis, Omar Mendoza-Montoya

    Published 2025-01-01
    “…This research analyzed brain activity before self-initiated reach-and-grasp movements performed with a participant-selected upper limb to identify relevant information regarding movement onset and configuration. …”
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    How could 50 °C be reached in Paris: Analyzing the CMIP6 ensemble to design storylines for adaptation by Pascal Yiou, Robert Vautard, Yoann Robin, Nathalie de Noblet-Ducoudré, Fabio D’Andrea, Robin Noyelle

    Published 2024-12-01
    “…Reaching a surface temperature of 50 °C in a heavily populated region, like Paris, would have devastating effects. …”
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    Reach-Avoid Games with a Time Limit and Detection Range: A Geometric Approach by Xi Chen, Jianqiao Yu, Kang Niu, Di Yang, Jiaxun Li

    Published 2022-01-01
    “…The attacker aims to reach the target region without being captured or reaching its time limit. …”
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    Impact of flow and sediment factor selection on downstream channel adjustments in the Lower Jingjiang Reach of the Yangtze River by Haoyong Tian, Zaimin Ren, Chenchen Yao, Na Zhong, Chunchen Xia

    Published 2025-05-01
    “…IntroductionUpstream damming significantly changes the flow and sediment conditions entering downstream reaches, resulting in remarkable channel adjustments. …”
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    Using Features Extracted From Upper Limb Reaching Tasks to Detect Parkinson’s Disease by Means of Machine Learning Models by Giuseppe Cesarelli, Leandro Donisi, Francesco Amato, Maria Romano, Mario Cesarelli, Giovanni D'Addio, Alfonso M. Ponsiglione, Carlo Ricciardi

    Published 2023-01-01
    “…The investigation carried out in our work has proved the predictive power of the features, extracted from the reaching tasks involving the upper limbs, to distinguish HCs and PD patients.…”
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    Improving Attack Detection in IoV with Class Balancing and Feature Selection by Thierry Widyatama, Ifan Rizqa, Fauzi Adi Rafrastara

    Published 2025-03-01
    “…Results indicate that all three algorithms achieved high accuracy and F1 scores, reaching 0.985. Moreover, the application of feature selection significantly reduced computational time without compromising detection performance. …”
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    Large changes in detected selection signatures after a selection limit in mice bred for voluntary wheel-running behavior. by David A Hillis, Liran Yadgary, George M Weinstock, Fernando Pardo-Manuel de Villena, Daniel Pomp, Theodore Garland

    Published 2024-01-01
    “…Previously, we reported multiple regions of differentiation between the HR and C lines, based on whole-genome sequence data for 10 mice from each line at generation 61, which was >31 generations after selection limits had been reached in all HR lines. …”
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    A Simple Blind Sampling Frequency Offset Estimation Scheme for Short-Reach DD-OFDM Systems by Hong Wen, Kang Geng, Qinghui Chen, Rui Deng, Ming Chen, Tiezhu Zong, Kunping Luo, Fengnian Liu

    Published 2020-01-01
    “…In this paper, a simple and overhead-free sampling frequency offset (SFO) blind estimation and compensation scheme is proposed and experimentally demonstrated in a short-reach direct detection orthogonal frequency division multiplexing (DD-OFDM) transmission system. …”
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    Anomaly Detection Approach Based on Deep Neural Network and Dropout by Zaid Hussien et al.

    Published 2020-06-01
    “…Commonly the recognition time is reduced in the NIDS by using feature selection technique. The proposed DNN classifier implemented with feature selection algorithm, and obtained on accuracy reached to 99.27%.…”
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    Improving Image Spam Detection Using a New Image Texture Features Selection by Azam Shekari Shahrak, Seyed javad Mirabedini, Nasser Mikaeilvand, Seyed Hamid Haj Seyed Javadi

    Published 2024-12-01
    “…The assumed algorithm in other articles shows a lower detection accuracy than the present article, but in the proposed method, it reaches 99.29% detection accuracy.…”
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    Lightweight underwater object detection method based on multi-scale edge information selection by Shaobin Cai, Xin Zhou, Wanchen Cai, Liansuo Wei, Yuchang Mo

    Published 2025-07-01
    “…As a result, the YOLO algorithm has been widely applied in underwater object detection. This paper proposes a lightweight underwater detector, MAW-YOLOv11, based on multi-scale edge information selection. …”
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