Showing 1,101 - 1,120 results of 12,239 for search 'algorithm detection', query time: 0.18s Refine Results
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    Advancements in Circulating Tumor Cell Detection for Early Cancer Diagnosis: An Integration of Machine Learning Algorithms with Microfluidic Technologies by Ling An, Yi Liu, Yaling Liu

    Published 2025-03-01
    “…Several microfluidic techniques, including size-based filtration, dielectrophoresis, and immunoaffinity capture, have been developed to enhance CTC detection. The integration of machine learning (ML) with microfluidic systems has further improved the specificity and accuracy of CTC detection, significantly advancing the speed and efficiency of early cancer diagnosis. …”
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  3. 1103

    Enhancing small object detection for HCI: BRA-YOLO algorithm with RealSense 3D trajectory tracking by Xin Ji, Mengkui Wang, Wentong Wang, Qiang Liu

    Published 2025-09-01
    “…To address this, we introduce the Bi-Level Routing Attention (BRA) mechanism, developing BRA-YOLO to enhance pen tip detection accuracy. For real-time pen trajectory tracking, the DeepSORT tracking algorithm is employed to track the detected pen tip on a two-dimensional plane. …”
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  4. 1104

    A Fault Detection Method for Multi-Sensor Data of Spring Circuit Breakers Based on the RF-Adaboost Algorithm by Chuang Wang, Peijie Cong, Sifan Yu, Jing Yuan, Nian Lv, Yu Ling, Zheng Peng, Haoyan Zhang, Hongwei Mei

    Published 2025-07-01
    “…This paper proposes a multi-sensor data fusion fault detection method based on the RF-Adaboost algorithm for spring-operated circuit breakers. …”
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    EAD-YOLOv10: Lightweight Steel Surface Defect Detection Algorithm Research Based on YOLOv10 Improvement by Hu Haoyan, Tong Jinwu, Wang Haibin, Lu Xinyun

    Published 2025-01-01
    “…The experimental results show that the improved EAD-YOLOv10 network model achieves an average precision of 94.2% for detecting six types of defects in the NEU-DET dataset, which is an improvement of 7.6% over the baseline model, with a 9.75% reduction in model size and a 12.5% decrease in computational load, outperforming other mainstream object detection algorithms and meeting the requirements for SD detection in industrial production. …”
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    UAV Real-Time Target Detection and Tracking Algorithm Based on Improved KCF and YOLOv5s_MSES by Shihai Cao, Ting Wang, Tao Li, Shumin Fei

    Published 2025-04-01
    “…Thirdly, aiming at the problem of tracking loss due to occlusion or out-of-view situations, this work proposes a fusion strategy based on the YOLOv5s_MSES target detection algorithm. Finally, the experimental results show that, compared to the baseline algorithm on the UAV123 dataset, our DP and AUC increased by 14.07% and 14.39%, respectively, and the frames per second (FPS) amounts to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>37.5</mn></mrow></semantics></math></inline-formula>. …”
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  10. 1110

    YOLO-RDM: A high accuracy and efficient algorithm for magnetic tile surface defect detection with practical applications. by Wei Niu, Cheng Lv, Enxu Zhang, Zhongbin Wei

    Published 2025-01-01
    “…To solve these problems, this study proposes a novel magnetic tile defect detection algorithm called YOLO-RDM. First, we apply DOConv to the neck network. …”
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    A review of the application of the simulated annealing algorithm in structural health monitoring (1995-2021) by Parsa Ghannadi, Seyed Sina Kourehli, Seyedali Mirjalili

    Published 2023-04-01
    “…In recent years, many innovative optimization algorithms have been developed. These algorithms have been employed to solve structural damage detection problems as an inverse solution. …”
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    Maize Kernel Broken Rate Prediction Using Machine Vision and Machine Learning Algorithms by Chenlong Fan, Wenjing Wang, Tao Cui, Ying Liu, Mengmeng Qiao

    Published 2024-12-01
    “…Then, the regression model of the kernel (broken and unbroken) weight prediction and the classification model of kernel defect detection were established using the mainstream machine learning algorithm. …”
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  15. 1115

    Diagnosis of epileptic seizure neurological condition using EEG signal: a multi-model algorithm by Mosleh Hmoud Al-Adhaileh, Mosleh Hmoud Al-Adhaileh, Sultan Ahmad, Alhasan A. Alharbi, Mohammed Alarfaj, Mohammed Alarfaj, Mukta Dhopeshwarkar, Theyazn H. H. Aldhyani

    Published 2025-05-01
    “…An essential step that may help clinicians identify and treat epileptic seizures is the differentiation between epileptic and non-epileptic signals by use of epileptic seizure detection categorization.MethodsIn this work, we investigated Machine learning algorithms including Random Forest, Gradient Boosting, and K-Nearest Neighbors, alongside advanced DL architectures such as Long Short-Term Memory networks and Long-term Recurrent Convolutional Networks for detecting epileptic seizures in terms of difficulties and procedures evolved depending on EEG data. …”
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    Two-stage Community Discovery Algorithm for Multi-point Seed Prepartition by TONG Shuai, CHEN De-yun, YANG Hai-lu

    Published 2021-08-01
    “…The community detection algorithm based on seed expansion has the characteristics of low time complexity,high recognition accuracy,and is not restricted by the shape of the community. …”
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