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  1. 821

    Enhanced Hybrid Detection Technique for Minimum Mean Square Equalizer in Uplink Massive MIMO Systems by Azhar Hussein Neama, Ghanim A. Al-Rubaye

    Published 2024-12-01
    “…We propose an iterative detection technique based on the enhanced Alternating Direction Method of Multipliers–Conjugate Gradients (ADMM-CG) to avoid direct matrix inversion. …”
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    Article
  2. 822

    A panting behavior-driven assessment framework for summer ventilation quality optimization in layer houses by Zixuan Zhou, Lihua Li, Hao Xue, Yuchen Jia, Yao Yu, Zongkui Xie, Yuhan Gu

    Published 2025-08-01
    “…Addressing the issue of ''qualified environmental parameters but chicken discomfort'' caused by traditional methods overlooking spatial heterogeneity and individual differences, a dynamic ventilation quality assessment method based on panting behavior detection in laying hens was proposed. …”
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    Article
  3. 823

    Accelerated and precise skin cancer detection through an enhanced machine learning pipeline for improved diagnostic accuracy by SM Masfequier Rahman Swapno, S.M. Nuruzzaman Nobel, P.K. Meena, V.P. Meena, Jitendra Bahadur, Abhishek Appaji

    Published 2025-03-01
    “…The proposed training pipeline, optimized for modularity and performance, demonstrated significant improvements in accuracy and computational efficiency over state-of-the-art methods. …”
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    Article
  4. 824

    A deep dive into artificial intelligence with enhanced optimization-based security breach detection in internet of health things enabled smart city environment by S Jayanthi, Sodagudi Suhasini, N. Sharmili, E. Laxmi Lydia, V. Shwetha, Bibhuti Bhusan Dash, Mrinal Bachute

    Published 2025-07-01
    “…So, improving an intrusion detection system (IDS) for attack identification and detection using the IoHT method is fundamentally necessary. …”
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    Article
  5. 825

    LightEnsemble-Guard: An Optimized Ensemble Learning Framework for Securing Resource-Constrained IoT Systems by Muhammad Usama Tanveer, Kashif Munir, Madiha Amjad, Hasan J. Alyamani, Amine Bermak, Atiq Ur Rehman

    Published 2025-01-01
    “…This ensemble strategy ensures an optimal balance between detection performance and computational resource utilization, making it well-suited for IoT networks, where processing power and memory are limited. …”
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    Article
  6. 826

    Quantum Computing in Community Detection for Anti-Fraud Applications by Yanbo (Justin) Wang, Xuan Yang, Chao Ju, Yue Zhang, Jun Zhang, Qi Xu, Yiduo Wang, Xinkai Gao, Xiaofeng Cao, Yin Ma, Jie Wu

    Published 2024-11-01
    “…This paper introduces a novel fraud detection method that utilizes quantum computing to implement community detection in transaction networks. …”
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    Article
  7. 827

    Multi-Channel Power Scheduling Based on Intrusion Detection System Under DDoS Attack: A Starkberg Game Approach by Youwen Yi, Lianghong Peng

    Published 2025-01-01
    “…By combining the Adaptive Penalty Function (APF) method with the Differential Evolution (DE) algorithm, the study effectively addresses related non-linear and non-convex optimization problems. …”
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    Article
  8. 828

    Age of Information-Optimized Differential Protection Strategy for Smart Grids by Jiajia Fu, Zhongmiao Kang, Ying Zeng, Zanhong Wu

    Published 2025-01-01
    “…Our analysis reveals that treating AoI as auxiliary side information, rather than a standalone optimization goal, significantly enhances the timeliness of information and indirectly improves fault detection accuracy. …”
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    Article
  9. 829

    Efficiency of Bacteriophage-Based Detection Methods for Non-Typhoidal <i>Salmonella</i> in Foods: A Systematic Review by Preeda Phothaworn, Chatruthai Meethai, Wanchat Sirisarn, Janet Yakubu Nale

    Published 2024-11-01
    “…Further research and development will be pivotal to overcoming challenges and maximizing the efficiency of NTS phage-based detection to ensure optimal food safety.…”
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    Article
  10. 830

    Clinical and Radiological Characteristics of Respiratory Tuberculosis Treatment Failures in Children and Adolescents and Timing of their Detection Depending on Examination Method by I. Yu. Petrakova, M. F. Gubkina, I. E. Tyurin

    Published 2024-07-01
    “…The objective: selection of optimal timing for chest CT to identify respiratory tuberculosis treatment failures in children and adolescents through clinical and radiological comparison.Subjects and Methods. …”
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    Article
  11. 831

    Optimization of particle filter tracking algorithm based on weakly supervised attribute learning by Hui Zhang, Dawang Shen

    Published 2025-05-01
    “…This method combines weakly supervised learning with energy function optimization to raise the efficiency of image feature annotation in object detection models. …”
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    Article
  12. 832

    Detection of Hedyotis corymbosa (L.) Lam. in traditional Chinese medicine Hedyotis diffusa Willd. with the Proofman-LMTIA method by Yongzhen Wang, Juan Tian, Dan Zhou, Deguo Wang, Bailing Yin

    Published 2025-07-01
    “…The repeatability and reliability were also assessed. The optimal reaction temperature of the Proofman-LMTIA method was 61 °C. …”
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    Article
  13. 833

    Simulation Analysis of Near and Remote Field Pulse Eddy Current Composite Detection Method for Single-Metal Pipeline by Xiaomin Shen, Xiaoting Guo, Zihan Wang, Mingda Song, Wenguang Hu

    Published 2025-01-01
    “…Traditional electromagnetic non-destructive testing (NDT) methods like eddy current testing (ECT) face limitations in detecting deep defects due to the skin effect. …”
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    Article
  14. 834
  15. 835

    Method for Detecting Small Aerial Objects Appearing in Field of View in Controlled Part of Celestial Sphere in Infrared Range by F. G. Agayev, H. H. Asadov, G. V. Aliyeva

    Published 2024-09-01
    “… The article is devoted to the developed method of infrared detection of group remote high-temperature objects. …”
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    Article
  16. 836

    An Unsupervised Remote Sensing Image Change Detection Method Based on RVMamba and Posterior Probability Space Change Vector by Jiaxin Song, Shuwen Yang, Yikun Li, Xiaojun Li

    Published 2024-12-01
    “…The experimental results on seven change detection datasets confirmed that the proposed method outperforms five state-of-the-art competitive CD methods.…”
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    Article
  17. 837

    Forecasting Eruptions at Steamboat Geyser: Time Scales, Differentiability, and Detectability of Seismic Precursors Through Data‐Driven Methods by Alberto Ardid, Anna Barth, David Dempsey, Michael Manga, Shane J. Cronin

    Published 2025-06-01
    “…A template matching analysis identified an optimal 18‐hr window for detecting precursors. We applied a random forest to classify pre‐eruptive and non‐eruptive data for out‐of‐sample eruptions (eruptions that were not included in the model's training data), showing ability to distinguish between the two. …”
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    Article
  18. 838

    Detection of the thaumatin-like protein gene from Brassica rapa var. oleifera in honey with the Proofman-LMTIA method by Wei Yao, Dandan Xu, Dan Zhou, Jinxin Liu, Xiaohua Zhang, Yao Wang, Deguo Wang

    Published 2024-12-01
    “…The results showed that the Proof-man LMTIA method was highly specific with a detection sensitivity of 30-40 copies genomic DNA/reaction at the optimal temperature of 60°C, and the amplification could be completed within 20 min. …”
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    Article
  19. 839

    Feature Selection for the Automated Detection of Metaphase Chromosomes: Performance Comparison Using a Receiver Operating Characteristic Method by Yuchen Qiu, Jie Song, Xianglan Lu, Yuhua Li, Bin Zheng, Shibo Li, Hong Liu

    Published 2014-01-01
    “…The purpose of this study is to identify a set of features for optimizing the performance of metaphase chromosome detection under high throughput scanning microscopy. …”
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  20. 840

    Research on a Wear Defect Detection Method for a Switch Sliding Baseplate Based on Improved Yolov5 by Qing Jiang, Ruipeng Gao, Yan Zhao, Wenzhen Yu, Zhuofan Dang, Shiyi Deng

    Published 2024-11-01
    “…Traditional random sampling methods struggle to capture their detailed characteristics, leading to inadequate accuracy and robustness in the detection process. …”
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    Article