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  1. 181

    Research on motion planning for an indoor spray arm based on an improved potential field method. by Dongjie Zhao, Bin Zhang, Ying Zhao, Qun Sun, Chuanjun Li, Chong Wang

    Published 2020-01-01
    “…To further improve the robustness of the endpoint control and positioning accuracy of the spray arm, an improved potential field algorithm for the motion planning and control of the spray arm is proposed based on prophase research. …”
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    The Elitist Non-Dominated Sorting Crisscross Algorithm (Elitist NSCA): Crisscross-Based Multi-Objective Neural Architecture Search by Zhihui Chen, Ting Lan, Dan He, Zhanchuan Cai

    Published 2025-04-01
    “…The experimental results on multiple datasets show that the proposed algorithm has a higher accuracy and robustness than those of certain state-of-the-art algorithms.…”
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  6. 186

    Optimization Strategies for Atari Game Environments: Integrating Snake Optimization Algorithm and Energy Valley Optimization in Reinforcement Learning Models by Sadeq Mohammed Kadhm Sarkhi, Hakan Koyuncu

    Published 2024-07-01
    “…This work delivers a comprehensive empirical study for these algorithms that not only verifies their capabilities in practice but also sets a state of the art through the prism of AI-driven game development. …”
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  7. 187

    Anti-Collision Path Planning and Tracking of Autonomous Vehicle Based on Optimized Artificial Potential Field and Discrete LQR Algorithm by Chaoxia Zhang, Zhihao Chen, Xingjiao Li, Ting Zhao

    Published 2024-11-01
    “…Linearization and discretization of the vehicle’s dynamic state space model, with constraint variables set to minimize control-command costs, aligns with DLQR objectives. …”
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    Design and analysis of parallel quantum transfer fractal priority replay with dynamic memory algorithm in quantum reinforcement learning for robotics by R. Palanivel, P. Muthulakshmi

    Published 2024-12-01
    “…Leveraging quantum principles such as superposition and entanglement, P‐QTFPR‐DM optimises Q‐value approximation through a custom quantum circuit (UQC), facilitating efficient exploration and exploitation in high‐dimensional state‐action spaces. This algorithm utilises a quantum neural network (QNN) with 4 qubits to encode and process Q‐values. …”
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    InCrowd-VI: A Realistic Visual–Inertial Dataset for Evaluating Simultaneous Localization and Mapping in Indoor Pedestrian-Rich Spaces for Human Navigation by Marziyeh Bamdad, Hans-Peter Hutter, Alireza Darvishy

    Published 2024-12-01
    “…In addition, a semi-dense 3D point cloud of scenes is provided for each sequence. The evaluation of state-of-the-art visual odometry (VO) and SLAM algorithms on InCrowd-VI revealed severe performance limitations in these realistic scenarios. …”
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    Efficient quantum circuit research and implementation for 16-bit S-boxes based on composite field by Lei Zhang, Guoyuan Li, Jingchen Dai, Ruipeng Hong, Chaoen Xiao, Jianxin Wang, Yifan Zhang

    Published 2025-06-01
    “…Due to the limitations of the no-cloning theorem of quantum states, the implementation of S-boxes in quantum circuits faces the dual challenges of exponential growth in space complexity and excessive consumption of quantum resources, especially in 16-bit and larger S-boxes. …”
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  15. 195

    Steganographic model to conceal the secret data in audio files utilizing a fourfold paradigm: Interpolation, multi-layering, optimized sample space, and smoothing by Daffa Tristan Firdaus, Ntivuguruzwa Jean De La Croix, Tohari Ahmad, Didacienne Mukanyiligira, Louis Sibomana

    Published 2025-06-01
    “…To address these limitations, this study offers valuable insights to guide researchers in developing high-performing audio steganography models. …”
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    Global research trends in AI-assisted blood glucose management: a bibliometric study by Li Yuan, Li Yuan, Yangtian Wang, Meiping Xing, Tao Liu, Dan Xiang

    Published 2025-05-01
    “…Major research clusters included CGM, machine learning algorithms, and predictive modeling. …”
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