Showing 1,961 - 1,980 results of 7,873 for search 'comparative research algorithm', query time: 0.17s Refine Results
  1. 1961
  2. 1962

    Research on 3D Obstacle Avoidance Path Planning for Apple Picking Robotic Arm by Xinyan Chen, Chun Lu, Ziliang Guo, Chengkai Yin, Xuanbo Wu, Xiaolan Lv, Qing Chen

    Published 2025-04-01
    “…Spatially expanding sampling by dynamic step size enhances the robustness of path indexing in complex obstacle environments. The algorithm is compared with RRT* and in-formation-RRT* in several scenarios. …”
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    Article
  3. 1963
  4. 1964
  5. 1965
  6. 1966

    Implementation of Alpha-Beta Pruning and Transposition Tables on Checkers Game by Cristian C. Suancha, Marco J. Suarez, Felipe A. Besoain

    Published 2024-01-01
    “…Comparative analysis against other algorithms demonstrated the successful implementation of the approach. …”
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    Article
  7. 1967
  8. 1968

    Research on Recognition of Green Sichuan Pepper Clusters and Cutting-Point Localization in Complex Environments by Qi Niu, Wenjun Ma, Rongxiang Diao, Wei Yu, Chunlei Wang, Hui Li, Lihong Wang, Chengsong Li, Pei Wang

    Published 2025-05-01
    “…However, challenges such as intertwined branches, dense foliage, and overlapping pepper clusters hinder intelligent harvesting by causing inaccuracies in target recognition and localization. This study compared the performance of multiple You Only Look Once (YOLO) algorithms for recognition and proposed a cluster segmentation method based on K-means++ and a cutting-point localization strategy using geometry-based iterative optimization. …”
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    Article
  9. 1969

    Research on management mode of talent team in E-government based on big data analysis by Shixuan Hao

    Published 2025-12-01
    “…Compared with other data mining algorithms such as association rule data mining based on K-means algorithm, the combination of decision tree and improved Apriori algorithm has lower operational errors and more obvious operational efficiency in the management of E-government talent team. …”
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    Article
  10. 1970

    Research on underwater disease target detection method of inland waterway based on deep learning by Tao Yu, Yu Xie, Jinsong Luo, Wei Zhu, Jie Liu

    Published 2025-04-01
    “…The research results show that compared with the YOLOv5 s algorithm, the improved algorithm YOLOv5-GBCE improves the average accuracy (IOU = 0.5) of the algorithm by 6.2%, reaching 89.8%, and the detection speed reaches 78.25 FPS. …”
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    Article
  11. 1971
  12. 1972

    Research on navigation method in closed-canopy orchard based on 3D LiDAR by Zhigang ZHANG, Kaiyuan BAO, Wenyu ZHANG, Fan DING, Zongyi TONG, Fukang ZHOU

    Published 2025-09-01
    “…MethodA navigation method based on three-dimensional light detection and ranging (3D LiDAR) was proposed, taking the wheeled spray robot as the research platform and the canopy mango orchard as the experimental environment. …”
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    Article
  13. 1973

    Research on Identification Technology of Explosive Vibration Based on EEMD Energy Entropy and Multiclassification SVM by Huayuan Ma, Xinghua Li, Qiang Liu, Xie Xingbo, Chong Ji, Changxiao Zhao

    Published 2020-01-01
    “…Compared with BP (backpropagation) neural network algorithm, SVM (support vector machine) algorithm has higher training efficiency. …”
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    Article
  14. 1974

    Urban walkability through different lenses: A comparative study of GPT-4o and human perceptions. by Musab Wedyan, Yu-Chen Yeh, Fatemeh Saeidi-Rizi, Tai-Quan Peng, Chun-Yen Chang

    Published 2025-01-01
    “…The research involved human participants and GPT-4o evaluating street-level images based on key dimensions of walkability, including overall walkability, feasibility, accessibility, safety, comfort, and liveliness. …”
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    Article
  15. 1975
  16. 1976
  17. 1977

    Sensor‐Guided Smart Irrigation for Tomato Production: Comparing Low and Optimum Soil Moisture in Greenhouse Environments by Ibrahim Dirlik, Ferhat Uğurlar, Cengiz Kaya

    Published 2025-03-01
    “…Future research should explore the integration of advanced sensors, machine learning algorithms, and predictive models to further optimize irrigation strategies, with an emphasis on scalability and environmental impact. …”
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    Article
  18. 1978

    Research on fine-grained classification of rare metal granite lithology based on deep learning by ZHAO Hengqian, WANG Pan, LIU Zhiguo, MIAO Qunfeng, LI Zhibin, TANG Guanglong, QI Yunfei, XIE Yu, WANG Mengmeng

    Published 2025-06-01
    “…Fine-grained image classification has high research value and application prospects in practical applications. …”
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    Article
  19. 1979
  20. 1980