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  1. 1701

    Rapid Detection of Trace Toxicants in Blood Using Thermal Desorption Coupled to Continuous Atmospheric Pressure Interfaced Ion Trap Mass Spectrometry by Hui-wen RUAN, Gui-yun SONG, Zhi-gang FAN, Suo-suo YANG, Jian KANG, Lei HUA, Wei-guo WANG

    Published 2025-07-01
    “…In addition, combined with simple and efficient liquid-liquid extraction, the rapid and accurate detection of toxicants in blood was achieved within 2 min. …”
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    Article
  2. 1702

    Enhancing Wheat Spike Counting and Disease Detection Using a Probability Density Attention Mechanism in Deep Learning Models for Precision Agriculture by Ruiheng Li, Wenjie Hong, Ruiming Wu, Yan Wang, Xiaohan Wu, Zhongtian Shi, Yifei Xu, Zixu Han, Chunli Lv

    Published 2024-12-01
    “…Addressing the shortcomings of traditional detection methods, we propose an advanced feature extraction strategy and a model based on the probability density attention mechanism, designed to more effectively handle feature extraction in complex backgrounds and dense areas. …”
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    Article
  3. 1703

    Determination of Nitrofuran Metabolites in Complex Food Matrices Using a Rough, Cheap, Easy-Made Wooden-Tip-Based Solid-Phase Microextraction Probe and LC-MS/MS by Xiaoming Gong, Kai Li, Wenjuan Xu, Liming Jin, Mengxiao Liu, Mengmeng Hua, Guoning Tian

    Published 2022-01-01
    “…In addition, the main parameters affecting the SPME procedure efficiency were investigated in detail and the optimal conditions were found. …”
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    Article
  4. 1704

    A Novel Training Strategy for Deep Learning Model Compression Applied to Automatic Modulation Classification by Mateus A. Goldbarg, Micael Balza, Sergio N. Silva, Lucileide M. D. Silva, Marcelo A. C. Fernandes

    Published 2025-01-01
    “…However, their computational demands pose a significant hurdle for real-time modulation detection. To tackle this issue, a novel training strategy is proposed in this study. …”
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  5. 1705

    DETECTION OF METALLIC AND NON-METALLIC ORIGIN FOREIGN BODIES IN BIOLOGICAL TISSUES OBTAINED AS A RESULT OF MILITARY TRAUMA: A LITERATURE REVIEW by Viktor A. Chernyak, Dmytro Ye. Dubenko, Kostiantyn K. Karpenko, Lidiia V. Butska, Vitalii S. Myrona, Nataliia Yu. Kondratiuk

    Published 2025-03-01
    “…Development of new imaging techniques: Development of non-radioactive fragments detection in gunshot wounds using noise emission technology, imaging and intraoperative navigation will increase the efficiency of detection and treatment of patients with FB.…”
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  6. 1706

    PAMFPN: Position-Aware Multi-Kernel Feature Pyramid Network with Adaptive Sparse Attention for Robust Object Detection in Remote Sensing Imagery by Xiaofei Yang, Suihua Xue, Lin Li, Sihuan Li, Yudong Fang, Xiaofeng Zhang, Xiaohui Huang

    Published 2025-06-01
    “…This work bridges the gap between efficient computation and robust feature fusion in remote sensing detection, offering a universal solution for real-world applications.…”
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    Article
  7. 1707

    Deep Learning Model Compression and Hardware Acceleration for High-Performance Foreign Material Detection on Poultry Meat Using NIR Hyperspectral Imaging by Zirak Khan, Seung-Chul Yoon, Suchendra M. Bhandarkar

    Published 2025-02-01
    “…Ensuring the safety and quality of poultry products requires efficient detection and removal of foreign materials during processing. …”
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    Article
  8. 1708

    A Consensus-Driven Distributed Moving Horizon Estimation Approach for Target Detection Within Unmanned Aerial Vehicle Formations in Rescue Operations by Salvatore Rosario Bassolillo, Egidio D’Amato, Immacolata Notaro

    Published 2025-02-01
    “…Such an approach offers advantages in terms of cost-effectiveness, operational flexibility, and mission success rates, particularly in complex scenarios such as search and rescue operations, environmental monitoring, and surveillance. …”
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    Article
  9. 1709

    QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

    Published 2025-02-01
    “…Despite their significance, existing QPP analysis tools are limited by study-specific parameters and complex workflows. To address these challenges, we present QPPLab, an open-source MATLAB-based toolbox for detecting, analyzing, and visualizing QPPs from fMRI time series. …”
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  10. 1710

    Design of a cost-effective fiberglass-coated thin-film microextraction device for the detection of bendiocarb, carbofuran and atrazine agrochemicals from water by Harshika Poojary, Sophia Koo, Chiranjit Ghosh

    Published 2025-12-01
    “…The developed technique aligned with the green analytical principles due to low solvent use, minimal waste generation, and energy efficiency. The AGREE score emphasized its strong connection with green chemistry, while complex GAPI and BAGI validated its environmental compatibility and user safety. …”
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    Article
  11. 1711

    A Comparative Study of Two-Stage Intrusion Detection Using Modern Machine Learning Approaches on the CSE-CIC-IDS2018 Dataset by Isuru Udayangani Hewapathirana

    Published 2025-03-01
    “…The findings emphasize the complementary nature of the two approaches, suggesting that a combined model could achieve a balance between accuracy and computational efficiency. This work provides valuable insights for designing scalable, high-performance intrusion detection systems in modern network environments.…”
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  12. 1712

    A Hybrid Deep Learning and Improved SVM Framework for Real-Time Railroad Construction Personnel Detection with Multi-Scale Feature Optimization by Jianqiu Chen, Huan Xiong, Shixuan Zhou, Xiang Wang, Benxiao Lou, Longtang Ning, Qingwei Hu, Yang Tang, Guobin Gu

    Published 2025-03-01
    “…This method provides technical support for railroad construction safety monitoring and effectively addresses personnel detection tasks in complex construction environments.…”
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    Article
  13. 1713

    HiDRA-DCDNet: Dynamic Hierarchical Attention and Multi-Scale Context Fusion for Real-Time Remote Sensing Small-Target Detection by Jiale Wang, Zhe Bai, Ximing Zhang, Yuehong Qiu, Fan Bu, Yuancheng Shao

    Published 2025-06-01
    “…Small-target detection in remote sensing presents three fundamental challenges: limited pixel representation of targets, multi-angle imaging-induced appearance variance, and complex background interference. …”
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  14. 1714

    Scalable Nuclei Detection in HER2-SISH Whole Slide Images via Fine-Tuned Stardist with Expert-Annotated Regions of Interest by Zaka Ur Rehman, Mohammad Faizal Ahmad Fauzi, Wan Siti Halimatul Munirah Wan Ahmad, Fazly Salleh Abas, Phaik-Leng Cheah, Seow-Fan Chiew, Lai-Meng Looi

    Published 2025-06-01
    “…Our framework supports pathologists by offering reliable, automated nuclei detection in HER2 scoring workflows, contributing to diagnostic consistency and efficiency in clinical pathology.…”
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    Article
  15. 1715

    Age and gender-related changes in choroidal thickness: Insights from deep learning analysis of swept-source OCT images by Dan Song, Guanzheng Wang, Guangfeng Liu, Chengxia Zhang, Bin Lv, Yuan Ni, Guotong Xie

    Published 2025-04-01
    “…SS-OCT was utilized for CT, Sattler layer-choriocapillaris complex thickness (SLCCT), and Haller layer thickness (HLT) measurements. auto-measurement method, based on deep learning algorithms, ensured accuracy. …”
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  16. 1716

    Deep Learning-Based Seedling Row Detection and Localization Using High-Resolution UAV Imagery for Rice Transplanter Operation Quality Evaluation by Yangfan Luo, Jiuxiang Dai, Shenye Shi, Yuanjun Xu, Wenqi Zou, Haojia Zhang, Xiaonan Yang, Zuoxi Zhao, Yuanhong Li

    Published 2025-02-01
    “…However, the working environment of rice transplanters in paddy fields is complex, and data obtained solely from GPS devices installed on agricultural machinery cannot directly reflect the specific information of seedlings, making it difficult to accurately evaluate the quality of rice transplanter operations. …”
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  17. 1717

    Key geological and engineering technologies and research directions for shale gas exploration and development in western Hubei Province, China by Guangyou Zhu, Jineng Jin, Qilin Xiao, Lei Wang, Guanglong Sheng, Jun Tang, Jianghui Meng, Zhiyuan Lu, Can Chen

    Published 2025-12-01
    “…For seismic data interpretation, pre-stack elastic inversion and azimuthal anisotropy inversion can be employed as core techniques, overcoming the limitation of individual post-stack attributes in typically detecting only major faults. Furthermore, the inversion boundaries are constrained using log-seismic joint quality control and geomechanical simulation, contributing to enhanced reliability of sweet spot evaluation and efficient exploration in areas with complex structures. …”
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  18. 1718

    Operational Feasibility and Performance of mRPA Versus PCR for the Detection of HPV Types 16, 18, and 52 in Clinical Samples: An Exploratory Study by Hartanti MD, Amtha R, Wratsangka R, Rinanti A, Djuana E, Hizbulloh I, Teguh CA, Kogoya A, Subekti DT, Desem MI, Lestari CSW, Asmaria T

    Published 2025-04-01
    “…Current PCR methods are widely used for HPV detection but are limited by the need for complex thermal cycling equipment and lengthy processing times, which restrict their use in low-resource settings. …”
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  19. 1719

    A one-pot, one-step CRISPR-AapCas12b-based platform for sensitive and specific detection of Klebsiella pneumoniae by Juan Zhou, Zirong Wu, Lei Yu, Xiaolan Huang, Fei Xiao, Yu Zhang, Linglong Wan, Jin Fu, Nan Jia, Min Chen, Chunrong Sun, Zhaomin Feng, Yi Wang

    Published 2025-06-01
    “…This one-pot assay achieves a remarkable limit of detection 10 fg (∼1.6 copies) of K. pneumoniae DNA within a 40-min isothermal reaction at 59 °C, eliminating the need for complex multi-step procedures. …”
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  20. 1720

    Effectiveness and optimization of bidirectional long short-term memory (BiLSTM) based fast detection of deep fake face videos for real-time applications by Haoxiang Wang

    Published 2025-05-01
    “…The aim is to overcome the limitations of current technologies in terms of efficiency and accuracy. An optimized BiLSTM architecture and training strategy are employed, enhancing recognition capabilities through data preprocessing and feature enhancement while also minimizing computational complexity and resource consumption during detection. …”
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    Article