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  1. 161

    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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    Operational Analysis of Power Generation from a Photovoltaic–Wind Mix and Low-Emission Hydrogen Production by Arkadiusz Małek, Andrzej Marciniak

    Published 2025-05-01
    “…Then, unsupervised clustering was applied using the k-Means algorithm to divide the state space generated in the power mix. …”
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    TS-SSA: An improved two-stage sparrow search algorithm for large-scale many-objective optimization problems. by Xiaozhi Du, Kai Chen, Hongyuan Du, Zongbin Qiao

    Published 2025-01-01
    “…Large-scale many-objective optimization problems (LSMaOPs) are a current research hotspot. However, since LSMaOPs involves a large number of variables and objectives, state-of-the-art methods face a huge search space, which is difficult to be explored comprehensively. …”
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    Joint Optimization of Multi-Period Empty Container Repositioning and Inventory Control Based on Adaptive Particle Swarm Algorithm by Jiaxin Cai, Ying Huang, Cuijie Diao, Zhihong Jin

    Published 2025-06-01
    “…In this way, we reduce unreasonable empty container mobilization through the setting of surplus, shortage, and balance ports of empty containers, which can narrow the search space and improve the algorithm’s global search ability and convergence efficiency in high-dimensional decision spaces. …”
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  14. 174

    Extraction of exact symbolic stationary probability formulas for Markov chains with finite space with application to production lines. Part I: description of methodology by Konstantinos S. Boulas, Georgios D. Dounias, Chrissoleon T. Papadopoulos

    Published 2025-07-01
    “…A probability space is thus created, containing all the spanning trees of the graph that end up in the states of the Markov chain (anti-arborescences). …”
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