Showing 41 - 60 results of 2,073 for search 'P detection efficiency', query time: 0.19s Refine Results
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    Evaluation of a silicon carbide P–N diode for thermal neutron detection in a radiotherapy LINAC by Martín Pérez, Felipe Zamorano, Celeste Fleta, Carles Muñoz-Montplet, Diego Jurado-Bruggeman, Marcio Jiménez, Pablo Guardia, Gina Grabulosa-Morera, Roger Morales-Pérez, Gemma Rius, Philippe Godignon, Giulio Pellegrini, Consuelo Guardiola

    Published 2025-08-01
    “…Experimental tests conducted on a TrueBeam radiotherapy LINAC demonstrated a thermal neutron detection efficiency of (4.32 ± 0.02)% for a (50 ± 10) µm thick $$^6$$ LiF neutron converter. …”
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    P-68 LIVGUARD, A DEEP NEURAL NETWORK FOR CIRRHOSIS DETECTION IN LIVER ULTRASOUND (USD) IMAGES by DIEGO ARUFE, Pablo Gomez del Campo, Ezequiel Demirdjian, Carlos Galmarini

    Published 2024-12-01
    “…The AI system achieved an overall detection rate of 88.8%. Sensitivity, specificity, positive (P) and negative (N) predictive values (PV) were 100%, 82.7%, 76.1% and 100%, respectively. …”
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    Deep Learning Approach to Cassava Disease Detection Using EfficientNetB0 and Image Augmentation by Jazon Andrei G. Alejandro, James Harvey M. Mausisa, Charmaine C. Paglinawan

    Published 2025-04-01
    “…To address these challenges and improve accuracy, we employed EfficientNetB0 and data augmentation techniques to enhance disease detection across multiple parts of the cassava plant. …”
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    Coherent Detection of Non-Orthogonal Spectrally Efficient Multicarrier Signals Using a Decision Feedback Algorithm by S. B. Makarov, S. V. Zavjalov, D. C. Nguyen, A. S. Ovsyannikova

    Published 2021-11-01
    “…At the same time, the efficiency of the detection algorithm with decision feedback turns out to be significantly lower than that when using the detection algorithm MLSE.Conclusion. …”
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    MXT-YOLOv7t: An Efficient Real-Time Object Detection for Autonomous Driving in Mixed Traffic Environments by Afdhal Afdhal, Khairun Saddami, Mirshal Arief, Sugiarto Sugiarto, Zahrul Fuadi, Nasaruddin Nasaruddin

    Published 2024-01-01
    “…This model enhances YOLOv7-tiny P5 by improving the detection rate and reducing inference time. …”
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    A one-stage anchor-free keypoints detection model for fast electric vehicle charging port detection and pose extraction by Feifei Hou, Qiwen Meng, Xinyu Fan, Yijun Wang

    Published 2025-05-01
    “…Furthermore, when integrated into the you only look once X (YOLOX) framework with parameters comparable to YOLOX-Tiny, FasterEVPoints delivers similar accuracy while consuming only 73% of the computational load and 66% of the parameters compared to YOLOX-Tiny. This exceptional efficiency, combined with high detection accuracy, establishes FasterEVPoints as a practical and scalable solution for real-world autonomous EV charging applications.…”
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    Sensitive ratiometric detection of Fumonisin B1 using a reusable Ag-pSi SERS platform by Narsingh R. Nirala, Sudharsan Sadhasivam, Rohit Kumar Singh, Edward Sionov, Giorgi Shtenberg

    Published 2025-01-01
    “…Herein, a ratiometric aptasensor was constructed using silver-coated porous silicon (Ag-pSi) used as an efficient surface-enhanced Raman scattering (SERS) substrate. …”
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    P4CN-YOLOv5s: a passion fruit pests detection method based on lightweight-improved YOLOv5s by Zhiping Tan, Zhiping Tan, Dapeng Ye, Jiancong Wang, Wenxiang Wang

    Published 2025-06-01
    “…When compared to other widely used target detection models, including SSD, Faster R-CNN, YOLOv3, YOLOv4, YOLOv5, P4C-YOLOv5s, and YOLOv7 on the same dataset, the P4CN-YOLOv5s model demonstrates distinct advantages, such as a low false positive rate and high detection efficiency. …”
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    Optimization of Guard Ring Structures for Superior Dark Current Reduction and Improved Quantum Efficiency in InGaAs/InP APDs by Zefang Xu, Yu Chang, Kai Qiao, Liyu Liu, Linmeng Xu, Mengyan Fang, Chang Su, Fei Yin, Jieying Wang, Tianye Liu, Ming Li, Dian Wang, Lizhi Sheng, Xing Wang

    Published 2025-01-01
    “…Avalanche photodiodes (APDs) based on InGaAs/InP are pivotal for applications in low-light detection, yet their performance is often hindered by edge breakdown and high dark currents. …”
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    Efficient Detection of Stigmatizing Language in Electronic Health Records via In-Context Learning: Comparative Analysis and Validation Study by Hongbo Chen, Myrtede Alfred, Eldan Cohen

    Published 2025-08-01
    “…ConclusionsICL offers a robust and flexible solution for detecting stigmatizing language in EHRs, offering a more data-efficient and equitable alternative to conventional machine learning methods. …”
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