Showing 2,481 - 2,500 results of 25,128 for search 'detection (process OR programs)', query time: 0.24s Refine Results
  1. 2481

    Global Feature Focusing and Information Enhancement Network for Occluded Pedestrian Detection by ZHENG Kaikui, JI Kangyou, LI Jun, LI Qiming

    Published 2025-01-01
    “…The final feature map is processed by a detection head, which generates center heatmaps, scale heatmaps, and offset maps to predict pedestrian bounding boxes.Results and DiscussionsIn order to comprehensively verify the effectiveness of the various improvements of the proposed GFFIE-Net, we designed ablation experiments from four aspects. …”
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  2. 2482

    Making human papillomavirus testing a public health priority in Ecuador by Gustavo Galárraga, José Francisco López-Gil

    Published 2025-05-01
    “…By scaling up human papillomavirus screening, integrating vaccination programs, and addressing socioeconomic barriers, Ecuador can move closer to eliminating cervical cancer as a public health threat. …”
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  3. 2483

    Discovering temporal, spatial, and contextual anomalous social activities from streaming social media datasets by Mete Celik, Ahmet Sakir Dokuz, Alper Ecemis, Emre Erdogmus

    Published 2025-04-01
    “…Nonetheless, anomaly detection studies on streaming social media datasets are very limited. …”
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  4. 2484
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    Near-infrared-detectable artificial synapses for advanced neuromorphic vision applications by Minjun Choi, Gwoncheol Choi, Seungbeom Lee, Tae-Woo Lee, Hea-Lim Park

    Published 2025-01-01
    “…The integration of near-infrared (NIR) light detection with artificial synaptic devices holds immense potential for advancing neuromorphic vision systems, enabling energy-efficient and high-speed data processing beyond conventional von Neumann architectures. …”
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  6. 2486

    A Hardware-Aware Failure-Detection Method for GPU Control-Logic by Hiroaki Itsuji, Takumi Uezono, Tadanobu Toba, Kojiro Ito, Masanori Hashimoto

    Published 2025-01-01
    “…This paper assumes three types of control-logic failures for a general GPU architecture and proposes efficient failure detection methods for each type. For instance, the proposed method efficiently detects GPU-specific control-logic failures caused by program counter faults with a detection rate of 99.5% and can be implemented with a runtime overhead of 5.3% and a memory-resource overhead of 4.2% for a matrix multiplication application. …”
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    Development and validation of a rapid test kit for iodine detection in salt by Tauqeer Ahmad

    Published 2025-07-01
    “…To combat this menace, the Universal Salt Iodization program needs regular monitoring throughout the salt supply chain. …”
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  14. 2494

    Detection of Cervical Uterine Cancer: cytology after 25 years old? by Eneida Bravo Polanco, Narciso Águila Rodríguez

    Published 2018-12-01
    “…This article is aimed at reflecting about the incidence of this disease at early ages; however the program for its detection includes performing cytology starting at 25 year old. …”
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  15. 2495

    An End-to-End Framework for Neonatal Asphyxia Detection Through Video Analysis by Kurnianingsih, Sou Nobukawa, Melyana Nurul Widyawati, Cipta Pramana, Nurseno Bayu Aji, Afandi Nur Aziz Thohari, Dwiana Hendrawati, Eri Sato-Shimokawara, Naoyuki Kubota

    Published 2025-01-01
    “…This study presents an end-to-end framework for automated neonatal asphyxia detection using time series video analysis and makes three key contributions. …”
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    Evaluation of Scintillation Counter Detector Using Gamma Radiation for Gold Detection by Julia Ragab Khalil, Wael Hessen Alawad, Adil Elrayah, Ali Sulaiman Mohamed, Mubark Dirrar Abdallah, Azher S Barrak

    Published 2024-12-01
    “… The aim of this work is to evaluate the efficiency of a new gamma spectrometer technology using a scintillation counter detector. This technique can detect the backscattered gamma radiation emitted from the samples. …”
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  19. 2499

    Research on Android malware detection method based on multimodal feature fusion by Ge Jike, He Mingkun, Chen Zuqin, Ling Jin, Zhang Yifan

    Published 2025-01-01
    “…Existing Android malware detection methods mainly use single-modal data to characterize program features, but fail to fully mine and fuse different feature information, resulting in unsatisfactory detection results. …”
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