Showing 1,081 - 1,100 results of 7,635 for search 'mean algorithm', query time: 0.14s Refine Results
  1. 1081

    A Nonlinear Hybrid Algorithm for Retrieving Land Surface Temperatures From Chinese Atmospheric Environment Monitoring Satellite Thermal Infrared Data by Yichao Li, Hang Zhao, Kun Li, Jian Zeng, Qiongqiong Lan, Qijin Han, You Wu, Yonggang Qian

    Published 2025-01-01
    “…The results demonstrated that the root mean square errors of LST for SW, TES, and hybrid algorithm are approximately 2.11, 1.78, and 1.64 K, with mean absolute errors (of 1.72, 1.40, and 1.21 K using in situ measurements from the SURFRAD sites. …”
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  2. 1082

    A High-Accuracy Underwater Object Detection Algorithm for Synthetic Aperture Sonar Images by Jiahui Su, Deyin Xu, Lu Qiu, Zhiping Xu, Lixiong Lin, Jiachun Zheng

    Published 2025-06-01
    “…To improve these problems, this paper proposes a high-accuracy underwater object detection algorithm for SAS images, named the HAUOD algorithm. …”
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  3. 1083

    Algorithm for differential administration of combination antihypertensive therapy in patients with Type 2 diabetes mellitus by O. A. Koshelskaya, O. A. Zhuravleva, R. S. Karpov

    Published 2013-08-01
    “…The study included 71 patients (mean age 56,8±6,5 years) with AH and DM-2, but without clinically manifested nephroangopathy. …”
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  4. 1084

    Optimization of IMU-based bending strain solving algorithm and full-scale experimental validation by Tong SHI, Xiaoben LIU, Lin ZHANG, Jun WANG, Rui LI, Ting Xie, Qingshan FENG, Qiyu HUANG

    Published 2024-11-01
    “…Moreover, a solving algorithm optimized through an ANNExtraTree deep learning model was introduced. …”
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    Article
  5. 1085

    On the issue of coordination of the activities of forces and means of organizations and institutions of the Federal Medical and Biological Agency of Russia and Rospotrebnadzor in e... by A. S. Samoilov, I. K. Romanovich, M. I. Grachev, Yu. A. Salenko, A. N. Barkovsky, V. S. Repin, L. S. Bogdanova

    Published 2019-10-01
    “…An important element in ensuring emergency preparedness, working out algorithms of the interaction of management bodies and practical skills of the personnel of Rospotrebnadzor and FMBA of Russia is the joint planning, organization and conduct of training and exercises.…”
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  6. 1086

    Traffic environment perception algorithm based on multi-task feature fusion and orthogonal attention by Zhengfeng LI, Mingen ZHONG, Yihong ZHANG, Kang FAN, Zhiying DENG, Jiawei TAN

    Published 2025-06-01
    “…Therefore, we propose MTEPN as an innovative deep convolutional neural network algorithm specifically designed to perform multiple visual tasks concurrently. …”
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  7. 1087

    STUDYING DEVELOPMENT OF POST-VACCINAL CELLULAR IMMUNITY AGAINST BRUCELLOSIS BY MEANS OF LYMPHOCYTE <i>IN VITRO</i> TESTS USING AN EXPERIMENTAL ANTIGENIC COMPLEX by M. V. Kostyuchenko, E. L. Rakitina, D. G. Ponomarenko, O. V. Logvinenko, S. A. Kurcheva, T. V. Berdnikova, D. V. Rusanova, A. N. Kulichenko

    Published 2019-07-01
    “…The applied experimental antigen is a quite promising tool for development of laboratory algorithms for brucellosis diagnostics, and assessment of actual vaccination efficiency in cohorts previously vaccinated against brucellosis.…”
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  8. 1088
  9. 1089

    Parameter Sensitivity Analysis and Algorithm Improvement of Optimization Scheduling Model for Cascade Pumping Stations by LIU Xiaolian, LI Zhenrong, WANG Xue-ni, ZHAI Yu, ZHANG Lei-ke, GUO Weiwei, TIAN Yu

    Published 2024-01-01
    “…Finally, taking a three-stage pumping station as an example, the Sobol method was used to quantitatively determine the sensitivity sequence of its system parameters, and TRUN was used to get the optimal scheduling scheme of the cascade pumping stations.Results and Discussions The mean and standard deviation of six benchmark functions, including unimodal (Schwefel 2.21 (<italic>f</italic><sub>1</sub>), Rosenbrock (<italic>f</italic><sub>2</sub>)), multimodal (Schwefel (<italic>f</italic><sub>3</sub>), Rastrigin (<italic>f</italic><sub>4</sub>)), fixed dimension (Hartman (<italic>f</italic><sub>5</sub>), Shekel (<italic>f</italic><sub>6</sub>)), were calculated by TRUN, RUN, TPSO, PSO, TGA and GA algorithms. …”
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  10. 1090

    Research on Optimized Algorithm for Deep Learning Based Recognition of Sediment Particles in Turbulent Flow by WANG Hao, YANG Feiqi, ZHANG Lei, WU Wei, XIE Haonan, ZHAO Lin

    Published 2025-07-01
    “…Although image processing methods provide efficient means for acquiring and analyzing data on sediment transport characteristics, their accuracy is often compromised by water waves, bubbles, and threshold errors. …”
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  11. 1091

    Fault Diagnosis Research on Bearingof Motor Based on LMD And Support Vector Machine by YIN Zhao-jie, XU Tong-le, ZHENG Dian-kun

    Published 2018-10-01
    “…Aiming at the limitation of the support vector machine ( SVM) to deal with the large sample dataand the multi classification problem and the selection of kernel function,the fault diagnosis method of motor bearing based on LMD and support vector machine is proposed. Firstly,the local mean decomposition ( LMD) algorithm is used to adaptively decompose the signal to get a series of PF components ,and the correlation analysis is used to eliminate false components. …”
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  12. 1092
  13. 1093

    Dynamic Calibration Method of Multichannel Amplitude and Phase Consistency in Meteor Radar by Yujian Jin, Xiaolong Chen, Songtao Huang, Zhuo Chen, Jing Li, Wenhui Hao

    Published 2025-01-01
    “…In this study, we propose a dynamic adaptive calibration method that combines normalized least mean square and correlation algorithms, integrated with hardware design. …”
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  14. 1094

    An Efficient MapReduce-Based Parallel Clustering Algorithm for Distributed Traffic Subarea Division by Dawen Xia, Binfeng Wang, Yantao Li, Zhuobo Rong, Zili Zhang

    Published 2015-01-01
    “…Specifically, we first modify the distance metric and initialization strategy of K-Means and then employ a MapReduce paradigm to redesign the optimized K-Means algorithm for parallel clustering of large-scale taxi trajectories. …”
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  15. 1095

    An Extension of the Fuzzy Possibilistic Clustering Algorithm Using Type-2 Fuzzy Logic Techniques by Elid Rubio, Oscar Castillo, Fevrier Valdez, Patricia Melin, Claudia I. Gonzalez, Gabriela Martinez

    Published 2017-01-01
    “…In this work an extension of the Fuzzy Possibilistic C-Means (FPCM) algorithm using Type-2 Fuzzy Logic Techniques is presented, and this is done in order to improve the efficiency of FPCM algorithm. …”
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  16. 1096

    A Comparative Study of Customized Algorithms for Anomaly Detection in Industry-Specific Power Data by Minsung Jung, Hyeonseok Jang, Woohyeon Kwon, Jiyun Seo, Suna Park, Beomdo Park, Junseong Park, Donggeon Yu, Sangkeum Lee

    Published 2025-07-01
    “…In the metal industry, a Z-Score-based statistical approach with threshold optimization was used; in the food industry, a hybrid model combining K-Means, Isolation Forest, and Autoencoder was designed; and in the chemical industry, the DBA K-Means algorithm (Dynamic Time Warping Barycenter Averaging) was employed. …”
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  17. 1097

    New Method for Solving Substation Expansion Planning Problem Using Fuzzy Clustering Algorithms by Zahra Moravej, Hossein Kiani Rad

    Published 2024-02-01
    “…The proposed clustering algorithms are Hard C-Means (HCM), Fuzzy C-Means and Possibilistic C-Means. …”
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  18. 1098

    The Big Data Processing Algorithm for Water Environment Monitoring of the Three Gorges Reservoir Area by Yuanchang Zhong, Liang Zhang, Shaojing Xing, Fachuan Li, Beili Wan

    Published 2014-01-01
    “…The fast clustering algorithm is based on fuzzy C-means clustering algorithm and hard C-means clustering algorithm. …”
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  19. 1099

    Correlation of Concept and Image in the Process of Algorithm development for Analyzing the Image-Concept of a State by Ksenia P. Posternyak, Kirill P. Posternyak

    Published 2024-12-01
    “…Using this algorithm we describe the means of verbalization of 4 layers of the image-concept “Russia” in the British media discourse of 1916-1922, the period crucial for our country. …”
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  20. 1100

    Concrete Structure Identification and Damage Detection Based on Genetic Algorithm Combined with Cluster Analysis by Xukai Ren, Ke Wang, Xiaofang Han, JingYi Zhang

    Published 2025-08-01
    “…It uses Back Propagation Neural Network (BPNN) to improve Genetic Algorithm (GA), while combining K-means++ clustering analysis method for mixed damage identification. …”
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