Showing 121 - 140 results of 415 for search 'cooperation research algorithm', query time: 0.11s Refine Results
  1. 121

    Application of Multi-Strategy Controlled Rime Algorithm in Path Planning for Delivery Robots by Haokai Lv, Qian Qian, Jiawen Pan, Miao Song, Yong Feng, Yingna Li

    Published 2025-07-01
    “…As a core component of automated logistics systems, delivery robots hold significant application value in the field of unmanned delivery. This research addresses the robot path planning problem, aiming to enhance delivery efficiency and reduce operational costs through systematic improvements to the RIME optimization algorithm. …”
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    A robotic system for researching social integration in honeybees. by Karlo Griparić, Tomislav Haus, Damjan Miklić, Marsela Polić, Stjepan Bogdan

    Published 2017-01-01
    “…The coordination among robots in the developed system is established using distributed controllers. The cooperation between the two different types of collective systems is realized by means of a consensus algorithm, enabling the honeybees and the robots to achieve a common objective. …”
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  6. 126

    Issues, Challenges, and Solution Options for On-Grid Multi-Microgrid Game Theory: A Systematic Review by Dimas Jalaluddin Ahmad, Nanang Hariyanto, Umar Khayam

    Published 2025-01-01
    “…Many studies have been conducted on the implementation of game theory approaches in optimizing energy trading and scheduling in multi-microgrid (MMG) systems, both in cooperative and non-cooperative games. This is because game theory is a rich field of study that can illustrate the self-interest nature of each player, in this case, each agent in the MMG system. …”
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    Live Multiattribute Data Mining and Penalty Decision-Making in Basketball Games Based on the Apriori Algorithm by Jian Zeng, Bao Jia

    Published 2022-01-01
    “…The Apriori algorithm is used to conduct an in-depth analysis and research on the relationship between data mining and penalty decision of multiattribute data in the basketball game scene. …”
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  10. 130

    Multi-UAV Search and Rescue with Enhanced A∗ Algorithm Path Planning in 3D Environment by Yuwen Du

    Published 2023-01-01
    “…To solve the problem of long calculation time and large memory usage of the UAV obstacle-avoidance path-planning algorithm in cooperative tasks, this paper proposes a method that combines the A∗ algorithm and the task allocation algorithm to achieve a faster and more effective path-planning method. …”
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  11. 131

    PREDICTION OF TBM OIL TEMPERATURE BY IMPROVED CAMEL ALGORITHM ASSISTED RANDOM FOREST MODEL (MT) by REN JianJi, ZHAO RunQiu, WANG ZhenXi, LIU YuMing, YUAN YongLiang

    Published 2023-01-01
    “…Firstly, the traditional camel algorithm was improved by using the proposed strategies. …”
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  12. 132

    Facial Recognition System Based on Genetic Algorithm Improved ROI-KNN Convolutional Neural Network by Xiao Wang, Yan Li

    Published 2022-01-01
    “…The research results showed that after improving the ROI-KNN convolutional neural network based on the genetic algorithm, the recognition accuracy of the facial recognition system was increased by 4.99%, the recognition speed was increased by 7.46%, and the recognition security was increased by 2.66%.…”
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    Assessing the Effect of Data Augmentation on Occluded Frontal Faces Using DWT-PCA/SVD Recognition Algorithm by Louis Asiedu, Joseph Agyapong Mensah, Francis Ayiah-Mensah, Felix O. Mettle

    Published 2021-01-01
    “…Despite the obvious advantages of such systems being less intrusive and requiring minimal cooperation of subjects, the performances of their underlying recognition algorithms are challenged by the quality of face images, usually acquired from uncontrolled environments with poor illuminations, varying head poses, ageing, facial expressions, and occlusions. …”
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    Global trends in machine learning applications for single-cell transcriptomics research by Xinyu Liu, Zhen Zhang, Chao Tan, Yinquan Ai, Hao Liu, Yuan Li, Jin Yang, Yongyan Song

    Published 2025-08-01
    “…Research hotspots concentrated on random forest (RF) and deep learning models, showing transition from algorithm development to clinical applications (e.g., tumor immune microenvironment analysis). …”
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