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Showing 61 - 80 results of 151 for search 'detection optimization with compensation', query time: 0.11s Refine Results
  1. 61

    Contact Load Measurement and Validation for Tapered Rollers in Wind Turbine Main Bearing by Zhenggang Guo, Jingqi Yu, Wanxiu Hao, Yuming Niu

    Published 2025-07-01
    “…Addressing the need for contact load detection in wind turbine main bearings during service, a roller contact load measurement method is proposed. …”
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    Article
  2. 62

    Cloud Detection in Remote Sensing Images Based on a Novel Adaptive Feature Aggregation Method by Wanting Zhou, Yan Mo, Qiaofeng Ou, Shaowei Bai

    Published 2025-02-01
    “…The HCAM extracts multi-scale features to enhance global representation while matching channel importance weights to focus on features that are more critical to the detection task. The SPFA module employs a novel adaptive feature aggregation method that simultaneously compensates for detailed information lost in the downsampling process and reinforces critical information in upsampling to achieve more accurate discrimination between cloud and non-cloud pixels. …”
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  3. 63

    Multiple target detection using photonic radar for autonomous vehicles under atmospheric rain conditions. by Sushank Chaudhary, Sunita Khichar, Yahui Meng, Abhishek Sharma

    Published 2025-01-01
    “…This study also proposes an optimized detection strategy for multiple targets at varying distances, demonstrating the potential of photonic radar for autonomous vehicle applications.…”
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    Article
  4. 64

    Detection of Mutations in Exon 8 of TP53 by Temperature Gradient 96-Capillary Array Electrophoresis by A. Torgunrud Kristensen, J. Bjørheim, M. Minarik, K.-E. Giercksky, P.O. Ekstrøm

    Published 2002-09-01
    “…The technique proved to be robust, in that the gradient compensates for temperature differences within the capillary chamber; thus, each capillary will pass through the optimal separating conditions around the theoretical melting temperature for TP53 exon 8, separating homoduplexes and heteroduplexes. …”
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    Article
  5. 65

    Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

    Published 2025-05-01
    “…Future research will focus on further improving the detection of very small targets and optimizing the model for lightweight applications.…”
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    Article
  6. 66

    The Role of Vitamin C in a Comprehensive Approach to Optimizing the Reparative Process after Corneal Surgery by N. V. Maychuk, A. A. Naumtseva, N. Sh. Sarhadov

    Published 2024-12-01
    “…Based on the literature search, a hypothesis was formulated about the possibility of compensating for AC deficiency when it is detected in patients at risk of developing subepithelial fibroplasia after PRK surgery. …”
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    Article
  7. 67

    Lightweight YOLOv8s-Based Strawberry Plug Seedling Grading Detection and Localization via Channel Pruning by CHEN Junlin, ZHAO Peng, CAO Xianlin, NING Jifeng, YANG Shuqin

    Published 2024-11-01
    “…Consequently, it was necessary to experiment extensively to identify the optimal pruning rate that balanced model accuracy and speed. …”
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    Article
  8. 68

    Online Estimation and Control Method of Optimal Slip Ratio for Vehicle With an Electric Power-Assisted Brake System by Lei Chen, Yuchao He, Tangtang Ma, Shengshi Zhong

    Published 2024-01-01
    “…Additionally, decision tree is employed to detect the road surface change, with the sample data elimination and compensation methods, achieving less lag in road surface adaptation for optimal slip ratio estimation. …”
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    Article
  9. 69
  10. 70

    Development of HfO₂-Based Solar-Blind SAW UV-C Sensor for Corona Discharge Detection Application by Hyunho Lee, Faisal Nawaz, Eeunsun Shim, Jinjae Lee, Cheol Choi, Keekeun Lee

    Published 2025-01-01
    “…A 222 MHz two-port SAW delay line structure was selected as a sensor platform, and its optimal parameters were determined through Coupling of Mode (COM) modeling analysis. …”
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    Article
  11. 71

    An Efficient Multisensor Hybrid Data Fusion Approach Based on Artificial Neural Networks and Particle Swarm Optimization Algorithms by Luc Eyembe Ihonock, Jean-François Dikoundou Essiben, Benjamin Salomon Diboma, Joe Suk Yong

    Published 2024-01-01
    “…Then, the circular deployment geometry obtained a detection accuracy of 97.005%. Finally, elliptical deployment geometry obtained a detection accuracy of 98.745%. …”
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    Article
  12. 72
  13. 73

    Advancing mmWave Altimetry for Unmanned Aerial Systems: A Signal Processing Framework for Optimized Waveform Design by Maaz Ali Awan, Yaser Dalveren, Ali Kara, Mohammad Derawi

    Published 2024-08-01
    “…This study appraises popular CFAR variants to achieve optimized ground detection performance. The authors advocate for dedicated minimum operational performance standards (MOPS) for UAS RAs. …”
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    Article
  14. 74

    LGC-YOLO: Local-Global Feature Extraction and Coordination Network With Contextual Interaction for Remote Sensing Object Detection by Qinggang Wu, Yang Li, Junru Yin, Xiaotian You

    Published 2025-01-01
    “…Finally, ESFCF integrates the edge and semantic information within shallow feature maps to address the issue of inaccurate localization for small objects, and further improves object detection accuracy by compensating for the loss of edge details in feature extraction. …”
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    Article
  15. 75

    DynaFusion-SLAM: Multi-Sensor Fusion and Dynamic Optimization of Autonomous Navigation Algorithms for Pasture-Pushing Robot by Zhiwei Liu, Jiandong Fang, Yudong Zhao

    Published 2025-05-01
    “…Secondly, a two-way position optimization mechanism is innovatively designed: (1) When building the map, Cartographer processes the laser with IMU and odometer data to generate mileage estimations, which provide positioning compensation for RTAB-Map. (2) RTAB-Map fuses the depth camera point cloud and laser data, corrects the global position through visual closed-loop detection, and then uses 2D localization to construct a bimodal environment representation containing a 2D raster map and a 3D point cloud, achieving a complete description of the simulated ranch environment and material morphology and constructing a framework for the navigation algorithm of the pushing robot based on the two types of fused data. …”
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  16. 76

    Optimizing SVC placement for enhanced voltage stability using a novel index and hybrid ABC-PSO algorithm by Hafizur Rahman, Roman Mia, Mustafizur Rahman, Md. Faiyaj Ahmed Limon, Md. Shahid Iqbal, Md. Fahad Jubayer, Md. Rabiul Karim, Md. Janibul Alam Soeb

    Published 2025-06-01
    “…In order to mitigate such threats, efficient prediction and optimal placement of FACTS devices such as static var compensators (SVCs) are of utmost importance. …”
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    Article
  17. 77

    Soft-sensor modeling of silicon content in hot metal based on sparse robust LS-SVR and multi-objective optimization by GUO Dong-wei, ZHOU Ping

    Published 2016-09-01
    “…To solve the problem that the parameter of silicon content ([Si]) in hot mental is difficult to be directly detected and obtained by manual analysis with large time delay, a method of sparse and robust least squares support vector regression (R-S-LS-SVR) was proposed to establish a dynamic model of[Si] with the help of the multi-objective genetic optimization of model parame-ters. …”
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  18. 78

    Research Progress of Machine Learning Algorithms Applied in FSO Communication Systems by LIU Hainan, SHAO Yufeng, WANG Anrong, ZHU Yaodong, YANG Linjie, CHEN Chao, LI Wenchen, HU Wenguang

    Published 2025-04-01
    “…In this article, the research progress of applying typical machine learning algorithms in FSO communication systems in signal detection, channel estimation, auxiliary optical compensation, and other aspects are reviewed. …”
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  19. 79
  20. 80

    Eyelid Dynamics Characterization with 120 GHz mmW Radar by Dominik Patscheider, Ruochen Wu, Antoni Broquetas, Albert Aguasca, Jordi Romeu

    Published 2024-11-01
    “…Simulations are conducted to support radar system optimization and data interpretation with a focus on detecting eyelid movement patterns and compensating for interference from other parts of the body. …”
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