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    Spatial Blind Source Estimation of Respiratory Rate and Heart Rate Detection Based on Frequency-Modulated Continuous Wave Radar by Tong Pei, Tao Liao, Xiangkui Wan, Binhui Wang, Danni Hao

    Published 2025-02-01
    “…Then, the multi-signal classification (MUSIC) algorithm is used to convert the respiration and heartbeat signals into the zero domain to avoid the influence of the respective harmonic components on the detection results. The experimental results showed that the accuracy of respiratory rate detection and heart rate detection was 94.51% and 97.79%, respectively. …”
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  3. 123

    Analysis of Multi-epoch JWST Images of ∼300 Little Red Dots: Tentative Detection of Variability in a Minority of Sources by Zijian Zhang, Linhua Jiang, Weiyang Liu, Luis C. Ho

    Published 2025-01-01
    “…The James Webb Space Telescope (JWST) has revealed a population of red and compact sources at z  ≳ 5 known as “little red dots” (LRDs) that are likely active galactic nuclei (AGNs). …”
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  4. 124

    Detection of a New GeV Source in the Outer Region of the Coma Cluster: A Signature of External Accretion Shock? by Xiao-Bin Chen, Kai Wang, Yi-Yun Huang, Hai-Ming Zhang, Shao-Qiang Xi, Ruo-Yu Liu, Xiang-Yu Wang

    Published 2025-01-01
    “…Here, we report the detection of a new GeV source at a distance of about 2 $\mathop{.}…”
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  5. 125

    Localization of Multiple GNSS Interference Sources Based on Target Detection in C/N<sub>0</sub> Distribution Maps by Qidong Chen, Rui Liu, Qiuzhen Yan, Yue Xu, Yang Liu, Xiao Huang, Ying Zhang

    Published 2025-07-01
    “…This paper presents a multi-interference sources localization method using object detection in GNSS C/N<sub>0</sub> distribution maps. …”
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  6. 126

    Air-ground collaborative multi-source orbital integrated detection system: Combining 3D imaging and intrusion recognition. by Mengyuan Yan, Xingyu Yang, Wei Gao, Lifan Rong, Shengbo Li, Yuan Xiong

    Published 2025-01-01
    “…This study proposes a ground-air collaborative multi-source detection system that integrates 3D light detection and ranging (LiDAR)-based point cloud imaging and deep learning-driven intrusion detection. …”
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    Enhancing Geothermal Anomaly Detection with Multi-Source Thermal Infrared Data: A Case of the Yangbajing–Yangyi Basin, Tibet by Chunhao Li, Na Guo, Yubin Li, Haiyang Luo, Yexin Zhuo, Siyuan Deng, Xuerui Li

    Published 2025-03-01
    “…This study develops a multi-source thermal infrared approach to enhance geothermal anomaly detection using Landsat 8 and ASTER land surface temperature (LST) data. …”
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    Towards Automatic Detection of Pneumothorax in Emergency Care with Deep Learning Using Multi-Source Chest X-ray Data by Santiago Ibañez Caturla, Juan de Dios Berná Mestre, Oscar Martinez Mozos

    Published 2025-06-01
    “…In this paper, we propose an automatic triage system for pneumothorax detection in X-ray images based on deep learning. We address this problem from the perspective of multi-source domain adaptation where different datasets available on the Internet are used for training and testing. …”
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  13. 133

    Performance Characterization and Validation of Saliva as an Alternative Specimen Source for Detecting Hereditary Breast Cancer Mutations by Next Generation Sequencing by Varsha Meghnani, Nadeem Mohammed, Christopher Giauque, Rahul Nahire, Thomas David

    Published 2016-01-01
    “…Quality parameters indicate that sequencing performance is comparable across sample source. An average of (98±0.02)% variant calling concordance was obtained between the two specimen sources. …”
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    Multi-source Environment Perception System for Autonomous-rail Rapid Tram by HU Yunqing, FENG Jianghua, LONG Teng, PAN Wenbo, YUAN Xiwen, LIN Jun, HUANG Ruipeng, HOU Zhichao

    Published 2020-01-01
    “…The multi-source environment perception system of the autonomous-rail rapid tram is an interactive link between the vehicle platform and the operating environment, which includes the obstacle perception subsystem based on LiDAR, the front-side obstacle perception subsystem based on millimeter wave radar and the 360-degree detection subsystem based on multi-camera. …”
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