Showing 201 - 220 results of 12,239 for search 'algorithm detection', query time: 0.21s Refine Results
  1. 201

    A Novel Community Detection Algorithm Based on Node Propagation and Attraction by Lidong Fu, Xinxing Xie, Zengfa Dou, Yun Bai, Xi Zhao

    Published 2025-01-01
    “…To address this problem, this paper proposes a novel community detection algorithm based on node propagation and attraction. …”
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    Article
  2. 202

    Improving lameness detection in cows: A machine learning algorithm application by Elma Dervić, Caspar Matzhold, Christa Egger-Danner, Franz Steininger, Peter Klimek

    Published 2024-12-01
    “…A Random Forest classifier, using input features selected by the Boruta algorithm, was used for the prediction task; effects of individual features were further assessed using partial dependence plots. …”
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    Article
  3. 203

    An Efficient Intersection Over Union Algorithm for 3D Object Detection by Sazan Ali Kamal Mohammed, Mohd Zulhakimi Ab Razak, Abdul Hadi Abd Rahman, Maria Abu Bakar

    Published 2024-01-01
    “…In addition, we also propose an angle extension of the EIoU algorithm as a significant refinement tool. The EIoU loss function is inversely correlated with the size of the bounded boxes and responds quickly to a small object size, which favors the detection of small objects in a 3D point cloud, where fewer iterations are required to make the bounded box regress well. …”
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    Article
  4. 204

    Semantic rule-based sentiment detection algorithm for Russian publicism sentences by Anatoliy Y. Poletaev, Ilya V. Paramonov, Elena I. Boychuk

    Published 2023-12-01
    “…To fill the gap, the authors developed a novel publisism sentences oriented sentiment detection algorithm. The algorithm recursively applies appropriate rules to sentence parts represented as constituency trees. …”
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    Article
  5. 205

    A Clustering Algorithm for Large Datasets Based on Detection of Density Variations by Adrián Josué Ramírez-Díaz, José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa

    Published 2025-07-01
    “…Extensive experiments on diverse datasets show that VDECAL effectively detects density variations, improving clustering quality and runtime performance compared to state-of-the-art DBSCAN-based algorithms developed for clustering large datasets.…”
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    Article
  6. 206

    FI-SURF algorithm for image copy-flip-move forgery detection by IYan L, IUNian L, HANGBin Z, UANKai-guo Y, ANGYi-xian Y

    Published 2015-05-01
    “…FI-SURF (flip invariant SURF) algorithm was proposed,for the consideration of the copy-move forgery detec-tion of digital images.The arrangement of the SURF (speeded-up robust features) descriptor after image flip was studied.After extract the SURF interest points,rearrange the descriptors,the interest points can still be matched even under the condition of copy-flip-move.The experiment results show that FI-SURF not only reserved the advantage of SURF,but also can detect the copy-flip-move forgery,and can locate the duplicated region.…”
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    Article
  7. 207

    University Media Content Detection and Classification Based on Information Fusion Algorithm by Shuntao Zhang, Qinglan Yu, Tianming Yang, Kai Peng

    Published 2022-01-01
    “…This essay mainly introduces the technology of university media content detection and classification based on information fusion algorithm and focuses on the application of university multimedia content detection, analysis, and understanding, to explore the image discrimination auxiliary attribute feature learning and content association prediction and classification. …”
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    Article
  8. 208
  9. 209

    Comparative Analysis of YOLO-Based Algorithms for Vehicle Detection in Aerial Imagery by A. Dustali, M. Hasanlou, S. M. Azimi

    Published 2025-07-01
    “…Real-time object detection has become an essential tool in applications such as traffic surveillance, autonomous vehicles, and industrial monitoring. …”
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    Article
  10. 210

    Performance Evaluation of Machine Learning Algorithms for Detecting Gas Leakage System by Kondireddy Muni Sankar, Dr. B. Booba

    Published 2025-06-01
    “…Hence, AI based models are preferred for effec        tive gas leakage detection as AI (Artificial Intelligence) based ML (Machine Learning) models generate tremendous advantages in terms of accuracy of gas leakage detection, early detection and being cost effective approaches. …”
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    Article
  11. 211

    Stochastic algorithm for HDFS data theft detection based on MapReduce by Yuanzhao GAO, Binglong LI, Xingyuan CHEN

    Published 2018-10-01
    Subjects: “…stochastic detection algorithm…”
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    Article
  12. 212

    Robust Crater Detection Algorithm Based on Maximum Entropy Threshold Segmentation by Peng Wu, Rongjun Mu, Yanpeng Deng

    Published 2022-01-01
    “…For future lunar exploration and planetary missions, the digital elevation model (DEM) of the target object may not be well prepared before the mission, so developing a new robust crater detection algorithm (CDA) without prepared high-precision DEM is needed to meet the requirements of a high-reliability and high-precision detection and navigation system. …”
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    Article
  13. 213

    Research on Gas Detection Algorithm Based on Reconstruction of Background Infrared Radiation by Li Chen, Zhen Yang

    Published 2025-06-01
    “…In response to the pressing need for long-range, non-contact detection in hazardous gas leakage monitoring within chemical industrial parks, this study proposes a gas detection algorithm based on an infrared radiation physical model that utilizes dual-band infrared radiation background reconstruction. …”
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  14. 214

    Steel Surface Defect Detection Based on Improved GCHS-YOLO Algorithm by Ruiqiang Guo, Peiyong Ji, Yapin Zhang, Jingqi Hu, Wenlong Liu, Xuejian Li, Min Li

    Published 2024-01-01
    “…In this paper, we address challenges in steel surface defect inspection, such as missed detections and false detections, by proposing the GCHS-YOLO detection algorithm. …”
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    Article
  15. 215

    A new cooperation spectrum sensing algorithm based on energy detection by Caimei FU, Youming LI, Guili ZHOU, Mingchen YU, Jingwen TONG, Xupeng WANG

    Published 2016-09-01
    “…To improve the reliability of spectrum sensing in cognitive radio system,a new cooperation spectrum sensing algorithm was proposed.In this algorithm,the property of the low probability between adjacent frames of the states change was used and then the decision was made by combing the energy value of the current sensing frame with that of the neighboring frame.Therefore,the proposed algorithm could decrease the miss detection probability in case of the instantaneous signal energy dropping when primary user used the licensed spectrum.Furthermore,theoretical expressions for detection probability and false alarm probability were derived.Finally,theoretical analysis and simulation results verify that the detection performance of the proposed algorithm is better than that of cooperative spectrum sensing which is based on the classical energy detection.…”
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  16. 216

    Object detection algorithm in a navigation system for a rescue drone by Nataliia Stelmakh, Yurii Yukhymenko, Ilya Rudkovskiy, Anton Lavrinenkov

    Published 2025-06-01
    “…Additionally, a gesture recognition algorithm is proposed, detecting gestures such as arm-waving as a signal for help, which increases the effectiveness of rescue operations. …”
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    Article
  17. 217

    An Improved Spectral Clustering Community Detection Algorithm Based on Probability Matrix by Shuxia Ren, Shubo Zhang, Tao Wu

    Published 2020-01-01
    “…In this paper, we propose a probability matrix and a novel improved spectral clustering algorithm based on the probability matrix for community detection. …”
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    Article
  18. 218

    A Community Detection Algorithm Based on Topology Potential and Spectral Clustering by Zhixiao Wang, Zhaotong Chen, Ya Zhao, Shaoda Chen

    Published 2014-01-01
    “…Spectral clustering algorithms have been successfully applied in community detection. …”
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    Article
  19. 219
  20. 220

    A Refined and Efficient CNN Algorithm for Remote Sensing Object Detection by Bingqi Liu, Peijun Mo, Shengzhe Wang, Yuyong Cui, Zhongjian Wu

    Published 2024-11-01
    “…Deep learning-based object-detection algorithms have proven effective in remote sensing image studies. …”
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    Article