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  1. 1

    Exhaustive sampling of docking poses reveals binding hypotheses for propafenone type inhibitors of P-glycoprotein. by Freya Klepsch, Peter Chiba, Gerhard F Ecker

    Published 2011-05-01
    “…To circumvent the uncertainty of scoring functions, we exhaustively sampled the pose space and analyzed the poses by combining information retrieved from SAR studies with common scaffold clustering. …”
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    LHPE-nets: A lightweight 2D and 3D human pose estimation model with well-structural deep networks and multi-view pose sample simplification method. by Hao Wang, Ming-Hui Sun, Hao Zhang, Li-Yan Dong

    Published 2022-01-01
    “…LHPE-nets uses a network structure with evenly distributed channels, inverted residuals, external residual blocks and a framework for processing small-resolution samples to achieve training saturation faster. And we also designed a static pose sample simplification method for 3D pose data. …”
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    Elliptical Model-Based Robust Pedestrian Pose Tracking by LiDAR via Bi-Level Moving Horizon Random Sample Consensus by Haziq Muhammad, Zool H. Ismail, Kazuma Sekiguchi, Kenichiro Nonaka

    Published 2025-01-01
    “…The previous moving horizon-based maximum likelihood estimation sample consensus (MHESAC) study addressed this robustness limitation but suffered from extensive point cloud (PC) sampling, limiting real-time applications. …”
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    Toward Real-Time Recognition of Continuous Indian Sign Language: A Multi-Modal Approach Using RGB and Pose by M. Geetha, Neena Aloysius, Darshik A. Somasundaran, Amritha Raghunath, Prema Nedungadi

    Published 2025-01-01
    “…Our approach introduces a novel pre-processing technique to down-sample video streams, ensuring compatibility with varying frame rates across different devices. …”
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    DualPose: Dual-Block Transformer Decoder with Contrastive Denoising for Multi-Person Pose Estimation by Matteo Fincato, Roberto Vezzani

    Published 2025-05-01
    “…To improve model performance, the Keypoint-Block uses parallel processing of self-attentions, providing a novel strategy that improves keypoint localization accuracy and precision. Additionally, DualPose incorporates a contrastive denoising (CDN) mechanism, leveraging positive and negative samples to stabilize training and improve robustness. …”
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    Animation Pose Generation Model Based on Kinect Depth Image and Occlusion-Robust Pose-Maps Algorithm by Zhenxi Yu, Ting Wang, Peng Tian, Xuejie Li

    Published 2025-01-01
    “…Aiming at the problem of low efficiency and difficulty in adapting to complex interactive scenes in traditional animation pose generation methods, a dynamic pose generation model based on Kinect depth image and an occlusion robust pose map algorithm is proposed. …”
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    Enhanced Pose Estimation for Badminton Players via Improved YOLOv8-Pose with Efficient Local Attention by Yijian Wu, Zewen Chen, Hongxing Zhang, Yulin Yang, Weichao Yi

    Published 2025-07-01
    “…In particular, we introduce an efficient local attention (ELA) mechanism that effectively captures fine-grained spatial dependencies and contextual information, thereby significantly improving the keypoint localization accuracy and overall pose estimation performance. To support this study, we construct a dedicated badminton pose dataset comprising 4000 manually annotated samples, captured using a Microsoft Kinect v2 camera. …”
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    Semantically-Based Animal Pose Estimation in the Wild by M. N. Favorskaya, D. N. Natalenko

    Published 2024-12-01
    “…Extensive training experiments were conducted using the AwA2 dataset (with a small number of samples from own dataset), the AP-10K dataset, and the Tiger-Pose dataset. …”
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    PENGARUH MODEL PEMBELAJARAN PROBLEM POSING TIPE PRE-SOLUTION POSING TERHADAP HASIL BELAJAR FISIKA DAN KARAKTER SISWA SMA by I. M. Astra, Umiatin -, M. Jannah

    Published 2012-07-01
    “…Penelitian ini bertujuan untuk mengetahui pengaruh model pembelajaran Problem Posing Tipe Pre-Solution Posing terhadap hasil belajar Fisika siswa SMA dan karakter yang bisa dikembangkan. …”
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    A Human Pose Estimation Algorithm with Scale Invariant by SUN Ruiyang, YANG Huixin, ZHAO Lanfei

    Published 2024-08-01
    “…Due to the existing issues in current human pose estimation algorithms, which struggle with accurately detecting small and large-sized human keypoints as well as having lower precision, this paper proposes a scale invariant convolution neural network to estimate human pose. …”
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    The effects of power posing on neuroendocrine levels and risk-taking by Efrat Barel, Shosh Shahrabani, Lila Mahagna, Refaat Massalha, Raul Colodner, Orna Tzischinsky

    Published 2024-12-01
    “…We further extended the investigation by testing the effect of power posing on estradiol and progesterone levels. Methods A sample of 92 young adults (30 males; 32 females taking oral contraceptives; and 30 females not taking oral contraceptives who were in their midluteal phase) were randomly assigned to high-power-pose or low-power-pose conditions and asked about their feelings of power. …”
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    A Texture-Based Simulation Framework for Pose Estimation by Yaoyang Shen, Ming Kong, Hang Yu, Lu Liu

    Published 2025-04-01
    “…This study proposes a texture-optimized simulation framework to enhance pose prediction accuracy through optimizing the surface texture features of the design samples. …”
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    Realistic Speech-Driven Talking Video Generation with Personalized Pose by Xu Zhang, Liguo Weng

    Published 2020-01-01
    “…Subsequently, we generate the final real speaker video through the video generation network. We take a random sampling of audio clips, encode audio contents and temporal correlations using a more effective network structure, and optimize and iterate network outputs using differential loss and attitude perception loss, so as to obtain a smoother pose key-point sequence and better performance. …”
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    Synergistic application of molecular docking and machine learning for improved binding pose by Li Yaqi, Lin Hongrui, Yang He, Yuan Yannan, Zou Rongfeng, Zhou Gengmo, Zheng Linfeng, Zheng Hang

    Published 2024-03-01
    “…Subsequently, position-restricted docking on predicted binding poses is performed using Uni-Dock, generating physically constrained and valid binding poses. …”
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    Unstable geogenic arsenic in reclaimed coastal soils poses environmental risks by Meng Chen, Yan Li, Yuting Zhang, Wenbing Ji, Yuanyuan Lu, Zhen Song, Lei Wang, Tao Long

    Published 2025-08-01
    “…However, the soils used often contain geogenic contaminants, particularly arsenic, posing a largely unrecognized but substantial threat to the environment and human health. …”
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