Showing 401 - 420 results of 2,583 for search '(( sources detection functions\ ) OR (( resources OR resources) selection function\ ))', query time: 0.28s Refine Results
  1. 401

    An investigation of the distribution of gaze estimation errors in head mounted gaze trackers using polynomial functions by Diako Mardanbegi, Andrew T. N. Kurauchi, Carlos H. Morimoto

    Published 2018-06-01
    “…In this paper we investigate the behavior of the gaze estimation error distribution throughout the image of the scene camera when using polynomial functions. Using simulated scenarios, we describe effects of four different sources of error: interpolation, extrapolation, parallax, and radial distortion. …”
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  2. 402
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    A DFT insight into the potential of cycloparaphenylenes as efficient sensors for detecting Paracetamol by Wael A. Mahdi, Adel Alhowyan, Ahmad J. Obaidullah

    Published 2025-03-01
    “…This study presents a computational investigation into the sensing capabilities of methylene-bridged [n]cycloparaphenylene ([n]MCPP, where n= 6, 8, and 10) nanorings for the detection of paracetamol using density functional theory (DFT) calculations. …”
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  4. 404

    Synthesis and properties of carbon quantum dots as an antimicrobial agent and detection of ciprofloxacin by Fangzhou Shen, Zhaoyang Lu, Kangli Yan, Kang Luo, Shuchen Pei, Pu Xiang

    Published 2025-08-01
    “…This study introduces a novel approach for the fabrication of N-CQDs derived from natural botanical sources, underscoring their potential dual functionality as fluorescent sensors and antimicrobial materials.…”
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    LNT-YOLO: A Lightweight Nighttime Traffic Light Detection Model by Syahrul Munir, Huei-Yung Lin

    Published 2025-06-01
    “…These results underscore the model’s feasibility and robustness compared to other state-of-the-art object detection models. The source code and dataset will be available through the GitHub repository.…”
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  7. 407

    Deviance from truth: Telemetry location errors erode both precision and accuracy of habitat‐selection models by Andrea T. Morehouse, Mark S. Boyce

    Published 2013-09-01
    “…Specifically, we compare how differences in precision between GPS and Argos satellite technologies affect the estimation of resource selection functions (RSFs). We estimated RSF models from GPS and Argos satellite radiocollar data collected in December 2008 through April 2009 from wolves within the same pack in southwestern Alberta, Canada, and used Akaike's Information Criterion (AIC) to identify the most parsimonious models. …”
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    Genome-Wide Association Analysis and Genomic Selection for Growth Traits in Grass Carp (<i>Ctenopharyngodon idella</i>) by Yuxuan Chen, Qiaozhen Yu, Wenyao Lv, Tao Sheng, Lang Gui, Junqiang Qiu, Xiaoyan Xu, Jiale Li

    Published 2025-06-01
    “…This study provides the first comprehensive SNP resource for grass carp growth traits with different dietary treatments, bridging GWAS and genomic prediction to accelerate marker-assisted selection. …”
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    Realizing depth measurement and edge detection based on a single metasurface by Yang Siwen, Wei Qunshuo, Zhao Ruizhe, Li Xin, Zhang Xue, Li Yao, Li Junjie, Jing Xiaoli, Li Xiaowei, Wang Yongtian, Huang Lingling

    Published 2023-07-01
    “…Double helix point source function is utilized, and three verification experiments are carried out, including double-helix beam calibration, 2D object and 3D object detection, respectively. …”
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  14. 414

    Enhanced object detection in low-visibility haze conditions with YOLOv9s. by Yang Zhang, Bin Zhou, Xue Zhao, Xiaomeng Song

    Published 2025-01-01
    “…Furthermore, the implementation of a nonmonotonic strategy for dynamically adjusting the loss function weights significantly boosts the model's detection precision and training efficiency. …”
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  15. 415

    PA-YOLO-Based Multifault Defect Detection Algorithm for PV Panels by Wang Yin, Zhao Jingyong, Xie Gang, Zhao Zhicheng, Hu Xiao

    Published 2024-01-01
    “…For the occlusion problem of dense targets in the dataset, we introduce a repulsive loss function, which successfully reduces the occurrence of false detection situations. …”
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    Application of Open-Source, Low-Code Machine-Learning Library in Python to Diagnose Parkinson's Disease Using Voice Signal Features by Daniel Hilário da Silva, Caio Tonus Ribeiro, Leandro Rodrigues da Silva Souza, Adriano Alves Pereira

    Published 2025-03-01
    “…Seventeen ML algorithms were applied to a dataset of voice recordings from Healthy Control and PD individuals, sourced from a publicly available repository. We leveraged the PyCaret Python library's ML algorithms and functions, which were introduced in this article, to demonstrate their simplicity and effectiveness in dealing with real-world data. …”
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