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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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    Combined water and detritus sampling is the most effective strategy to detect environmental DNA of macroinvertebrates in rivers by Kena Shi, Yajing He, Jiefeng Yu, Yongjing Zhao, Hongzhu Wang, Yongde Cui

    Published 2025-08-01
    “…We compared the composition structures of macroinvertebrate community obtained by the above methods, analyzed the detection efficiency of different sampling combinations, and proposed the most effective strategy. …”
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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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    Sampling‐Based Methods for Uncertainty Propagation in Flood Modeling Under Multiple Uncertain Inputs: Finding Out the Most Efficient Choice by Mahya Hajihassanpour, Georges Kesserwani, Per Pettersson, Vasilis Bellos

    Published 2023-07-01
    “…Latin hypercube sampling (LHS) is the most evaluated alternative for fluvial floods but yields no considerable sample size reduction. …”
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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
    “…In addition, in the case analysis, the angle fluctuation curve presented by the research model was most in line with the actual situation. In the visual evaluation of motion capture effects, the animation generated by the model had smooth poses, reasonable hand and leg movements, ergonomic joint movements, and no abrupt jumps or disjointed frames, resulting in a better overall effect. …”
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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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    Choosing the most suitable NGS technology to combine with a standardized viral enrichment protocol for obtaining complete avian orthoreovirus genomes from metagenomic samples by Sonsiray Álvarez-Narváez, Sonsiray Álvarez-Narváez, Telvin L. Harrell, Islam Nour, Sujit K. Mohanty, Steven J. Conrad

    Published 2025-02-01
    “…Virology researchers are constantly seeking new, cost-effective strategies and bioinformatic pipelines for the retrieval of complete viral genomes from these metagenomic samples. Avian orthoreoviruses (ARVs) pose a significant and growing threat to the poultry industry and frequently cause economic losses associated with disease in production birds. …”
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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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