Showing 141 - 160 results of 2,295 for search '((( source OR sources) selection function ) OR ( resources detection functions ))', query time: 0.32s Refine Results
  1. 141

    LFN-YOLO: precision underwater small object detection via a lightweight reparameterized approach by Mingxin Liu, Mingxin Liu, Yujie Wu, Ruixin Li, Cong Lin, Cong Lin

    Published 2025-01-01
    “…Underwater object detection plays a significant role in fisheries resource assessment and ecological environment protection. …”
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    Article
  2. 142
  3. 143

    Using an ensemble approach to predict habitat of Dusky Grouse ( Dendragapus obscurus ) in Montana, USA by Elizabeth A Leipold, Claire N Gower, Lance McNew

    Published 2024-12-01
    “…Consensus between the resource selection function and random forest models was high (93%) and the ensemble map had higher predictive accuracy when classifying the independent dataset than the other two models. …”
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    Article
  4. 144

    Integrating individual tracking data and spatial surveys to improve estimation of animal spatial distribution by Valentin Lauret, Nicolas Courbin, Olivier Scher, Aurélien Besnard

    Published 2025-05-01
    “…Simulations showed that the integrated model correctly estimated habitat selection coefficients and benefited from both data sources with better accuracy and precision than RSF and Poisson GLM alone, especially when data are limited. …”
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    Article
  5. 145

    Efficient Small Object Detection You Only Look Once: A Small Object Detection Algorithm for Aerial Images by Jie Luo, Zhicheng Liu, Yibo Wang, Ao Tang, Huahong Zuo, Ping Han

    Published 2024-11-01
    “…Moreover, existing object detection algorithms have a large number of parameters, posing a challenge for deployment on drones with limited hardware resources. …”
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    Article
  6. 146
  7. 147
  8. 148

    Robotic arm target detection algorithm combined with deep learning by ZHANG Lei, ZHANG Wang, YUAN Yuan

    Published 2024-12-01
    “…Existing target detection algorithms deployed on robotic arms would occupy a large amount of system resources, have poor real-time detection performance, and have a large number of model parameters. …”
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    Article
  9. 149

    An Improved YOLOv9s Algorithm for Underwater Object Detection by Shize Zhou, Long Wang, Zhuoqun Chen, Hao Zheng, Zhihui Lin, Li He

    Published 2025-01-01
    “…However, the complex marine environment, poor resolution, color distortion in underwater optical imaging, and limited computational resources all affect the accuracy and efficiency of underwater object detection. …”
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  10. 150

    Affinity selection mass spectrometry (AS-MS) for prospecting ligands in natural product libraries by Bruno S. do Amaral, Marcela C. de Moraes, Carmen L. Cardoso, Quezia B. Cass

    Published 2025-05-01
    “…Natural product libraries are a source of diverse 3D molecular features furnishing an array of biological functions in drug discovery research. …”
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  11. 151

    Dynamic activation and enhanced image contour features for object detection by Jun Wu, Jiahui Zhu, Xin Tong, Tianliang Zhu, Tianyi Li, Chunzhi Wang

    Published 2023-12-01
    “…At this stage mobile devices often have limited storage resources to deploy large object detection networks and need to meet real-time requirements. …”
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    Article
  12. 152
  13. 153

    The Relationship Between Soil and Gut Microbiota Influences the Adaptive Strategies of Goitered Gazelles in the Qaidam Basin by Yiran Wang, Bin Li, Bo Xu, Wen Qin

    Published 2024-12-01
    “…Interactions with soil microbiota can shape the composition and function of the gut microbiota, thereby influencing the hosts’ adaptive strategies. …”
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    Article
  14. 154

    The Process of Using Power Supply Technical Solutions for Electronic Security Systems Operated in Smart Buildings: Modelling, Simulation and Reliability Analysis by Michał Wiśnios, Michał Mazur, Sebastian Tatko, Jacek Paś, Adam Rosiński, Jarosław Mateusz Łukasiak, Wiktor Koralewski, Janusz Dyduch

    Published 2024-12-01
    “…The operational tasks of ESSs in SBs require a continuous power supply from various sources, including renewable energy sources. The authors conducted an analysis of the power supply for selected ESSs used in SBs, which enabled the development of a power supply model. …”
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  15. 155

    Benchmarking reinforcement learning and accurate modeling of ground source heat pump systems: Intelligent strategy using spiking recurrent neural network combined with spider WASP... by Sana Qaiyum, Kashif Irshad, Mohamed E. Zayed, Salem Algarni, Talal Alqahtani, Asif Irshad Khan

    Published 2025-09-01
    “…Furthermore, the proposed SWO-SRNN was trained using the selected features to predict the ground temperature and Coefficient of Performance (COP), which enables to make appropriate actions to optimize the functioning of GSHP. …”
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  16. 156
  17. 157

    Analysis of the Relationship Between Assimilate Production and Allocation and the Formation of Rice Quality by Jianming Tu, Fengting Wen, Feitong Li, Tingting Chen, Baohua Feng, Jie Xiong, Guanfu Fu, Yebo Qin, Wenting Wang

    Published 2025-05-01
    “…Correlation analysis indicated that dry matter mass and net photosynthetic rate were significantly positively correlated with yield, but not with taste quality, highlighting the complexity of taste quality formation. Using a membership function comprehensive evaluation method (combines the outputs of multiple membership functions into a single composite value using specific rules (e.g., weighted average, extremum, logical operations) to produce a new membership degree.), a rice variety selection system balancing yield and quality was constructed, and three varieties (Zhongzheyou 8, Huazheyou 261, and Quanyousimiao) were identified as having both high yield and excellent quality. …”
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  18. 158
  19. 159

    Lightweight Small Target Detection Algorithm Based on YOLOv8 Network Improvement by Xiaoyi Hao, Ting Li

    Published 2025-01-01
    “…Thirdly, it presents the FocalEloU-Loss function, which significantly enhances detection accuracy by refining bounding box predictions. …”
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  20. 160

    An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM by Zhen Chen, ZhenWan Li, Jia Huang, ShengZheng Liu, HaiXia Long

    Published 2024-10-01
    “…Finally, combining the optimal threshold and loss function, we propose a model named MIX_LSTM for anomaly detection in IIoT. …”
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    Article