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  1. 1681

    DAMI-YOLOv8l: A multi-scale detection framework for light-trapping insect pest monitoring by Xiao Chen, Xinting Yang, Huan Hu, Tianjun Li, Zijie Zhou, Wenyong Li

    Published 2025-05-01
    “…Insect pest detection plays a crucial role in agricultural production for accurate and early pest control, thus significantly reducing crop damage and increasing yields. …”
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    Article
  2. 1682

    Approach to prototyping a technical device for fire detection based on the principles of artificial intelligence by Andreev A. V., Doronin A. S., Mirkhasilova Z. K., Norov B. Kh., Abduganiev A. S.

    Published 2025-01-01
    “…The aim of the study is to justify the developed prototype of a technical device that uses machine learning methods for early detection of fires in order to minimise damage and save human lives. …”
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    Article
  3. 1683

    Spatial features of CO2 for occupancy detection in a naturally ventilated school building by Qirui Huang, Marc Syndicus, Jérôme Frisch, Christoph van Treeck

    Published 2024-10-01
    “…By incorporating spatial features, the model using only CO2-related features revealed similar performance as the model containing additional ventilation information, resulting in a better low-cost occupancy detection method for naturally ventilated buildings.…”
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    Article
  4. 1684

    Optimized Liveness Detection for Fast and Accurate Fingerprint Anti-Spoofing With Optical Coherence Tomography by Yilong Zhang, Heyou Yu, Haohao Sun, Yongbo Yao, Haixia Wang, Jian Liu, Yuanjie Dang, Ronghua Liang, Peng Chen

    Published 2024-01-01
    “…Liveness anti-spoofing is commonly detected by additional detection equipment or by extracting the liveness information from the OCT data. …”
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    Article
  5. 1685

    Improving SNR for NLoS Target Detection Using Multi-RIS-Assisted Monostatic Radar by Salman Liaquat, Ijaz Haider Naqvi, Faran Awais Butt, Saleh Alawsh, Nor Muzlifah Mahyuddin, Ali Hussein Muqaibel

    Published 2025-01-01
    “…The use of a reconfigurable intelligent surface (RIS) in radar systems significantly enhances target detection, particularly in challenging non-line-of-sight (NLoS) scenarios. …”
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    Article
  6. 1686

    Repeated Web Page Visits and the Scanpath Theory: A Recurrent Pattern Detection Approach by Michael Burmester, Marcus Mast

    Published 2010-10-01
    “…With a recurrent temporal pattern detection technique, we examine additional aspects and expose scanpaths. …”
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    Article
  7. 1687

    Detectability of Structural Damage to a Lattice Tower using Eigenfrequencies and Gaussian Process Regression by Britt Kahrger, Sören Möller, Clemens Jonscher, Tanja Grießmann, Raimund Rolfes

    Published 2024-12-01
    “…In this real-world case study, damage detectability is investigated using GPs and eigenfrequencies. …”
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    Article
  8. 1688
  9. 1689

    Small target detection algorithm based on the fusion attention mechanism and multi-layer convolution. by Xiujing Li, Haifei Zhang, Yiliu Hang, Hao Chen

    Published 2025-01-01
    “…Finally, we incorporated an additional small target detection layer to capture feature information at a shallower level, thereby reducing the likelihood of missed detections and bolstering the detection capabilities for small targets. …”
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    Article
  10. 1690

    Securing RFID With GNN: A Real-Time Tag Cloning Attack Detection System by Bojun Zhang

    Published 2025-01-01
    “…This paper introduces an innovative system framework that leverages Graph Neural Network to detect RFID tag cloning attacks without the need to change the MAC protocols or add hardware resources. …”
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    Article
  11. 1691

    Serendipitous detection of extraosseous metastases on bone scintigraphy: Utility of cross-sectional and correlative imaging by Jiwan Paudel, Harmandeep Singh, Ashwani Sood, Anish Bhattacharya, Bhagwant Mittal

    Published 2017-10-01
    “…Whole body bone scintigraphy is most commonly used imaging modality to detect and assess the extent of osteoblastic osseous metastases in malignant conditions, though visceral metastases need additional imaging. …”
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    Article
  12. 1692

    Evaluating the Effectiveness of Image Processing in the Task of Detecting Moving Objects by an Optoelectronic Surveillance System by E. I. Mikhnionok, A. V. Khizniak

    Published 2022-06-01
    “…At the same time, the need for additional determination of the probability of correct detection and the construction of detection curves is mandatory, since in their entirety they are generally accepted indicators of the quality of detection. …”
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    Article
  13. 1693

    The value of whole-body MRI instead of only brain MRI in addition to 18 F-FDG PET/CT in the staging of advanced non-small-cell lung cancer by Hanna Holmstrand, M Lindskog, A Sundin, T Hansen

    Published 2025-03-01
    “…Considering WB-MRI being a more time-consuming examination compared to brain MRI, it is important to establish whether or not additional value is found in detecting and characterizing malignant lesions. …”
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    Article
  14. 1694

    Ventricular Fibrillation detection using time-frequency and the KNN classifier without parameter extraction by Azeddine Mjahad, Alfredo Rosado Muñoz, Manuel Bataller Mompeán, Jose V. Francés Víllora, Juan F. Guerrero Martínez

    Published 2017-12-01
    “…This work describes new techniques to improve VF detection and its separation from Ventricular Tachycarida (VT) and other rhythms. …”
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    Article
  15. 1695

    Design of a Drowsiness Prevention Helmet with Vibration and IoT-Based Theft Detection Alarms by Aditya Putra Perdana Prasetyo, Harlis Richard Sitorus, Rahmat Fadli Isnanto, Adi Hermansyah

    Published 2024-03-01
    “…The helmet theft detector uses a Sharp GP2Y0A21 sensor that can only detect object distances up to 10 cm. …”
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    Article
  16. 1696

    Detection of Release Fabric Defects in Fiber-Reinforced Composites Using Through-Transmission Ultrasound by Gary LeMay, Enkhsaikhan Boldsaikhan

    Published 2025-03-01
    “…To date, no methodology has been developed to improve the detection of such defects with similar acoustic impedance in the received signal without using echo-mode techniques. …”
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    Article
  17. 1697
  18. 1698

    Fine-Tuned Visual Transformer Masked Autoencoder Applied for Anomaly Detection in Satellite Images by Jakub Gajda, Joanna Kwiecień

    Published 2025-06-01
    “…Anomaly detection is a process in which outlier samples can be detected in a given dataset. …”
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