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  1. 381

    Longitudinal heterogeneity of Phobos’ crater size-frequency distribution: coevolution of resurfacing and orbital dynamics by Yuki Uchida, Kosei Toyokawa, Tomohiro Usui, Yudai Suzuki, Haruhisa Tabata

    Published 2025-08-01
    “…This study examines the crater size–frequency distribution (CSFD) across four equatorial regions of Phobos—leading, near, trailing, and far sides—to investigate surface evolution heterogeneities linked to resurfacing and orbital dynamics following the formation of its largest crater, Stickney. …”
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    Distributed Anti-Disturbance Control Strategy for Multi-Aircraft Systems With Time-Varying Topology by Yunjie Wu, Yueyang Hua, Guofei Li, Huimin Zou

    Published 2019-01-01
    “…This paper is concerned with the distributed consensus problems for second-order multi-aircraft systems in the presence of sensor data loss and time-varying communication topology. …”
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    Fault Type Determination on Distribution Networks Lines within Functions of Microprocessor Current Protections by F. A. Romaniuk, A. A, Tishechkin, E. V. Buloichyk

    Published 2011-08-01
    “…The main disadvantage of the existing microprocessor current protections of distribution networks lines of 6–35 kV is a comparatively short instantaneous trip zone of the first step and insufficient sensitivity of the third step in many cases of asymmetrical short-circuits. …”
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    Study on spatial variability and profile distribution characteristics of soil salinity by Kriging with an electromagnetic induction by YAO Rong-jiang, YANG Jing-song, JIANG Long

    Published 2007-03-01
    “…Analysis on salinization classification and salinity profile characteristics indicated that heavy salinized soil was the predominant soil type in the study area, while the distribution area of light salinized soil was the least. …”
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  12. 392

    Analytical first-screening of distributed generation hosting capacity via extreme-value theory by Xin Ma, Han Wu, Yue Yuan, Wenhui Shi, Yuehui Huang

    Published 2025-10-01
    “…Against the backdrop of large-scale interconnection requests for distributed generation (DG), there is a growing demand for rapid assessment of distribution network hosting capacity (DGHC). …”
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    HYBRID WLS-KF APPROACH FOR REAL-TIME STATE ESTIMATION IN AUTOMATED DISTRIBUTION GRIDS by Abdulrafiu Yusuf, Olalekan Ogunbiyi, Lambe Mutalub Adesina, Bashiru Olalekan Ariyo

    Published 2025-01-01
    Subjects: “…scada; state estimation; distribution networks; phasor measurement units (pmus); hybrid state estimation; bad data detection…”
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  16. 396

    Preserving Big Data Privacy in Cloud Environments Based on Homomorphic Encryption and Distributed Clustering by Shatha A. Baker

    Published 2024-03-01
    Subjects: “…Big data, Cloud computing, Homomorphic encryption, Privacy, Extremely Distributed Clustering.…”
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  17. 397

    A power-distribution joint optimization arrangement for multi-point source jamming system by Zhihao Cai, Shiqi Xing, Sinong Quan, Xinyuan Su, Junpeng Wang

    Published 2025-09-01
    “…First, the geometric relationship distribution between the triplet antenna and the target is determined to derive the distribution law of the equivalent synthesis center of the triplet antenna. …”
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  18. 398

    Magnetic Activities of Wolf 359: Starspot Distribution and Quasiperiodic Pulsation Using TESS Data by Diya Ram, Soumen Mondal, Samrat Ghosh, Rajib Kumbhakar

    Published 2025-01-01
    “…Wolf 359 is the fifth closest (∼2.4 pc) star to Earth and a candidate exoplanet-hosting M6 dwarf. We studied the distribution of starspots and flaring activities of Wolf 359 to understand its stellar atmosphere and magnetic activities. …”
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    FedDAR: Federated Learning With Data-Quantity Aware Regularization for Heterogeneous Distributed Data by Youngjun Kwak, Minyoung Jung

    Published 2025-01-01
    “…This network-agnostic methodology reformulates the local training procedure by incorporating two crucial components: 1) enriched-feature augmentation, where features of the local model are coordinated with pre-initialized features to ensure unbiased-representations with efficient global communication rounds for unbalanced data distribution, and 2) data-quantity aware branch, which associates with local data size to improve the optimization of the local model using both supervised and self-supervised labels. …”
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