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  1. 81

    Research on Lightweight Algorithm Model for Precise Recognition and Detection of Outdoor Strawberries Based on Improved YOLOv5n by Xiaoman Cao, Peng Zhong, Yihao Huang, Mingtao Huang, Zhengyan Huang, Tianlong Zou, He Xing

    Published 2025-01-01
    “…An improved YOLOv5n strawberry high-precision recognition algorithm is proposed. The algorithm uses FasterNet to replace the original YOLOv5n backbone network and improves the detection rate. …”
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    Article
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  5. 85

    Lateral Flow Loop-Mediated Isothermal Amplification Test with Stem Primers: Detection of Cryptosporidium Species in Kenyan Children Presenting with Diarrhea by Timothy S. Mamba, Cecilia K. Mbae, Johnson Kinyua, Erastus Mulinge, Gitonga Nkanata Mburugu, Zablon K. Njiru

    Published 2018-01-01
    “…The SAM-1 LAMP detected 27/39. On detection of Cryptosporidium DNA in 67 clinical samples, the stem LFD LAMP detected 16 samples and SAM-2 LAMP 14 and nested PCR identified 11. …”
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    Article
  6. 86

    A Data Reconciliation-Based Method for Performance Estimation of Entrained-Flow Pulverized Coal Gasification by Yan Zhang, Kai Yue, Chang Yuan, Jiahao Xiang

    Published 2025-02-01
    “…The thermodynamic equilibrium model is employed as constraints of the gasification and quench processes, and the Particle Swarm Optimization (PSO) algorithm is applied for parameter estimation. Measured data under stable and variable operating conditions are reconciled, detecting and eliminating a 12% error in syngas flow rate at the scrubber outlet, thereby improving gasification performance accuracy. …”
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    Article
  7. 87

    Using a new algorithm in Machine learning Approaches to estimate level-of-service in hourly traffic flow data in vehicular ad hoc networks by Ahmed Ibrahim Turki, Saad Talib Hasson

    Published 2023-06-01
    “…This study proposes an algorithm for hourly LOS assessment by incorporating flow data provided by the MIDAS (Motorway Incident Detection and Automatic Signaling) system. …”
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    Article
  8. 88

    Crowd abnormal behavior detection based on motion similar entropy by Fei LI, Ken CHEN, Meng LI, Chunmei GUO

    Published 2017-05-01
    “…It is an important research content of graphic processing in the field of intelligent video surveillance to detect abnormal events.An algorithm based on entropy of motion similarity (EMS) to detect abnormal behavior was proposed.Based on the optical flow algorithm,taking the bottom flow block as the basic unit to get the scene motion information,according to the concept of social network model,the construction scene of the motion network model (MNM) was proposed,the division of the scene particles motion similarity was completed,and the distribution EMS of MNM was calculated in the time domain.Finally,the obtained image entropy was compared with the reasonable threshold,to determine whether abnormal behavior occured.Experimental results indicate that the proposed algo-rithm can detect abnormal behavior effectively and show promising performance while comparing with the state of the art methods.…”
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    Article
  9. 89

    APPROACH OF PROCESSING, CLASSIFICATION AND DETECTION OF NEW CLASSES AND ANOMALIES IN HETEROGENIOUS AND DIFFERENT STREAMS OF DATA by R. A. Bagutdinov

    Published 2019-05-01
    “…New class detection strategies are classified as parametric and non-parametric. …”
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    Article
  10. 90

    A novel YOLOv11-Driven deep learning algorithm for UAV multispectral oil spill detection in Inland lakes by Yu Zhang, Jian Xing, Weida Chen, Haitao Wang, Bingyu Shi, Yang Song, Xiaoou Huang, Zihan Jiang

    Published 2025-07-01
    “…Abstract Lake oil spills are challenging to detect accurately due to complex oil–water interactions resulting from water flow disturbances, vegetation occlusion, and the diffusion behavior of oil films. …”
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    Article
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    Real Time Face-mask Detection with Arduino to Prevent COVID-19 Spreading by Saman M. Almufti, Ridwan B. Marqas, Zakiya A. Nayef, Tamara S. Mohamed

    Published 2021-04-01
    “…Many face detection models have been designed using different algorithms and techniques. …”
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    Article
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    Experiment and Analysis for Utrasonic Particle Detection of Liquid-vapor Mixture in Narrow Rectangular Channel by Hu Yongpan, Tao Leren, Huang Lihao, Zheng Zhigao, Li Qingpu

    Published 2016-01-01
    “…s) in the narrow rectangular are obtained by theoretical model and inversion algorithm, respectively. The experiment results show that when the mass flow rate is constant, with an increase of the heating power, ultrasonic attenuation coefficient will increase under the same ultrasonic frequency, the value of D50 will increase and the distribution of dimensions will broaden. …”
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    Article
  17. 97

    Dual Feature-Based Intrusion Detection System for IoT Network Security by A. Biju, S. Wilfred Franklin

    Published 2025-03-01
    “…The proposed method utilizes the bald eagle search (BES) algorithm and butterfly optimization algorithm (BOA) to capture both flow and packet level features to enhance the accuracy of the intrusion detection process. …”
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    Article
  18. 98

    Application of CycleGAN-based low-light image enhancement algorithm in foreign object detection on belt conveyors in underground mines by Anxin Zhao, Qiuhong Zheng, Liang Li

    Published 2025-07-01
    “…However, in underground environments, low illumination and uneven brightness can significantly degrade image quality, thereby affecting the detection of foreign objects in coal flow and reducing the reliability of safety monitoring equipment. …”
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    Article
  19. 99

    High-Speed Robust Dynamic Positioning and Tracking Method Based on Visual Visible Light Communication Using Optical Flow Detection and Bayesian Forecast by Weipeng Guan, Xin Chen, Mouxiao Huang, Zixuan Liu, Yuxiang Wu, Yingcong Chen

    Published 2018-01-01
    “…Therefore, we propose a novel VLP algorithm based on image sensor (as positioning terminal), exploiting optical flow detection and Bayesian forecast. …”
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  20. 100

    Multi task detection method for operating status of belt conveyor based on DR-YOLOM by Yongan LI, Tengjie CHEN, Hongwei WANG, Zhihao ZHANG

    Published 2025-06-01
    “…The results show that compared to mainstream single detection algorithms, DR-YOLOM multi task detection algorithm has better comprehensive detection ability, and this algorithm can ensure high target recognition accuracy, segmentation accuracy, and appropriate inference speed with a small number of parameters. …”
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    Article