Showing 1,181 - 1,200 results of 3,290 for search 'reduced detection function', query time: 0.20s Refine Results
  1. 1181

    Early detection of left atrial dysfunction in young hypertensive patients with a normal left atrial size: a comprehensive analysis using four-dimensional auto left atrial quantific... by Luyi Ping, Yulin Huang, Gufeng Sun, Lin Jin, Xu Huang, Chunquan Zhang, Jiwei Wang

    Published 2025-05-01
    “…Abstract Background This study aimed to detect early left atrial (LA) function abnormalities in young hypertensive patients with a normal two-dimensional LA volume index (2D-LAVI) using four-dimensional auto LA quantification technology (4D Auto LAQ) and to analyse correlations between LA strain parameters and clinical metabolic indicators. …”
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    Research on Lightweight Model of Multi-person Pose Estimation Based on Improved YOLOv8s-Pose by FU Yu, GAO Shuhui

    Published 2025-03-01
    “…Furthermore, the weighted bidirectional feature pyramid network is incorporated into the neck layer to improve the model’s feature fusion capabilities, ensuring a good balance when processing features of different scales. A small object detection head is then added to the network to reduce the missed detection of small objects. …”
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    OUTLIERS HANDLING ON SEASONAL ARIMA INTERVENTION MODEL (CASE: IMPACT OF MOST FAVORED NATION POLICY ON INDONESIAN HOT ROLLED COIL/PLATE) by Fadhila Annisa Maksum, Siskarossa Ika Oktora

    Published 2024-03-01
    “…The pre-intervention model formed contains seasonal and step functions, which does not fulfill the white noise of the final intervention model. …”
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  10. 1190

    Optimization of particle filter tracking algorithm based on weakly supervised attribute learning by Hui Zhang, Dawang Shen

    Published 2025-05-01
    “…This method combines weakly supervised learning with energy function optimization to raise the efficiency of image feature annotation in object detection models. …”
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  11. 1191

    Distorted time window for sensorimotor integration and preserved time window for sense of agency in patients with post-stroke limb apraxia by Satoshi Nobusako, Satoshi Nobusako, Rintaro Ishibashi, Takaki Maeda, Sotaro Shimada, Shu Morioka, Shu Morioka

    Published 2025-06-01
    “…Limb apraxia is a cognitive-motor disorder typically resulting from left hemisphere stroke, characterized by an inability to perform skilled limb movements despite intact motor and sensory functions. Previous studies suggest that individuals with apraxia exhibit deficits in sensorimotor integration, particularly in detecting temporal discrepancies between movement and sensory feedback. …”
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  12. 1192

    Multi-Robot Cooperative Simultaneous Localization and Mapping Algorithm Based on Sub-Graph Partitioning by Wan Xu, Yanliang Chen, Shijie Liu, Ao Nie, Rupeng Chen

    Published 2025-05-01
    “…First, a global matching and candidate loop selection strategy is incorporated into the front-end loop detection module, leveraging both LiDAR point clouds and visual features to achieve cross-robot loop detection, effectively mitigating computational redundancy and reducing false matches in collaborative multi-robot systems. …”
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  13. 1193

    Research on the Optimization of TP2 Copper Tube Drawing Process Parameters Based on Particle Swarm Algorithm and Radial Basis Neural Network by Fengli Yue, Zhuo Sha, Hongyun Sun, Dayong Chen, Jinsong Liu

    Published 2024-12-01
    “…To study the effect of drawing process parameters on wall thickness uniformity, an ultrasonic detection platform for measuring the wall thickness of rolled copper tubes was constructed to verify the accuracy of the experimental equipment. …”
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  14. 1194

    Get ready for short tandem repeats analysis using long reads-the challenges and the state of the art by Marija Chaushevska, Marija Chaushevska, Karmele Alapont-Celaya, Anne Kristine Schack, Anne Kristine Schack, Lukasz Krych, M. Carmen Garrido Navas, M. Carmen Garrido Navas, M. Carmen Garrido Navas, Anastasia Krithara, Gjorgji Madjarov, Gjorgji Madjarov

    Published 2025-07-01
    “…Traditional short-read sequencing struggles to accurately characterize STRs due to its limited read length, which limits the ability to resolve repeat expansions, increases mapping errors, and reduces sensitivity for detecting large insertions or interruptions. …”
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  15. 1195

    Features of the Clinical Signs, Changes of the Natriuretic Propeptide (NT-proBNP), Left Ventricular Diastolic Function and Heart Rate Variability in the Patients with the Stable An... by Shved M., Prypkhan I.

    Published 2015-03-01
    “…The feature of the clinical manifestations of angina pectoris in the patients with the reduced function of the thyroid gland (TG) is frequent attacks of breathlessness and rapid fatigue, meanwhile the anginal pain occurs rarely. …”
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  16. 1196

    HFC-YOLO11: A Lightweight Model for the Accurate Recognition of Tiny Remote Sensing Targets by Jinyin Bai, Wei Zhu, Zongzhe Nie, Xin Yang, Qinglin Xu, Dong Li

    Published 2025-05-01
    “…To address critical challenges in tiny object detection within remote sensing imagery, including resolution–semantic imbalance, inefficient feature fusion, and insufficient localization accuracy, this study proposes Hierarchical Feature Compensation You Only Look Once 11 (HFC-YOLO11), a lightweight detection model based on hierarchical feature compensation. …”
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  17. 1197

    Searching for Low-mass Exoplanets amid Stellar Variability with a Fixed Effects Linear Model of Line-by-line Shape Changes by Joseph Salzer, Jessi Cisewski-Kehe, Eric B. Ford, Lily L. Zhao

    Published 2025-01-01
    “…The magnitude of the residuals is significantly less than that from traditional cross-correlation function-based RV estimators and comparable to other state-of-the-art methods for mitigating stellar variability.…”
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    Analytical method for determining coordinates of the radiation source in a homogeneous medium by H. V. Velichko

    Published 2015-12-01
    “…In the scientific literature, some authors approach such problem as the inverse kinematic problem, others use the range difference method. The problem is reduced to finding the minimum of a nonlinear function of five variables. …”
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