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  1. 281
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    Spatial and temporal distribution patterns and factors influencing hepatitis B in China: a geo-epidemiological study by Kang Fang, Na Cheng, Chuang Nie, Wentao Song, Yunkang Zhao, Jie Pan, Qi Yin, Jiwei Zheng, Qinglin Chen, Tianxin Xiang

    Published 2025-04-01
    “…Spatiotemporal analysis of hepatitis B from a socioeconomic perspective is of great significance for reducing the disease burden, but there is still a relative lack of research. Methods The age-period-cohort model and spatial distribution maps describe the three-dimensional distribution characteristics of hepatitis B. …”
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    Article
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    The Role of Landscape Metrics and Spatial Processes in Performance Evaluation of GEOMOD (Case Study: Neka River Basin) by Shrif Joorabian Shooshtari, Kamran Shayesteh, Mehdi Gholamalifard, Mahmood Azari, Juan Ignacio López-Moreno

    Published 2017-09-01
    “…Besides, the model predicted the same spatial process. The results of this research showed that this method can produce comprehensive information with high performance from uncertainty of result accuracy. …”
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    Motor imagery EEG signal classification using novel deep learning algorithm by Sathish Mathiyazhagan, M. S. Geetha Devasena

    Published 2025-07-01
    “…Abstract Electroencephalography (EEG) signal classification plays a critical role in various biomedical and cognitive research applications, including neurological disorder detection and cognitive state monitoring. …”
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  9. 289

    Research on Cooperative Localization Method in Dynamic Networks by ZHANG Zhihua, SUN Bin, LI Bingchen, ZHOU Zhongfu, SHEN Feng

    Published 2024-12-01
    “…These circumstances can result in a decrease in the accuracy of cooperative localization algorithms or even cause them to malfunction. In order to address the above problems, this paper carries out the research on cooperative localization method, and proposes the filtering method of adaptive adjustment of observation error covariance matrix and the fusion of the federated filtering method, which enables the cooperative localization system to work normally in the case of the change of anchor nodes and ordinary nodes among mobile nodes, the disappearance or emergence of ranging values between nodes, and the random access and exit of nodes, etc. …”
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  10. 290

    Spatiotemporal correlation–based adaptive sampling algorithm for clustered wireless sensor networks by Wenyu Cai, Meiyan Zhang

    Published 2018-08-01
    “…Given this hypothesis, this article proposed an adaptive sampling algorithm based on temporal and spatial correlation of sensory data for clustered WSNs. …”
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    Article
  11. 291

    The Effect of Applying 2D Enhancement Algorithms on 3D Video Content by Sin Lin Wu, Jorge E. Caviedes, Lina Karam, Ingrid Heynderickx

    Published 2014-01-01
    “…In this paper, we present research focused on the effect of applying enhancement algorithms used for 2D content on 3D side-by-side content. …”
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    An Oil Painters Recognition Method Based on Cluster Multiple Kernel Learning Algorithm by Zhifang Liao, Le Gao, Tian Zhou, Xiaoping Fan, Yan Zhang, Jinsong Wu

    Published 2019-01-01
    “…This paper proposes a cluster multiple kernel learning algorithm, which extracts oil painting features from three aspects: color, texture, and spatial layout, and generates multiple candidate kernels with different kernel functions. …”
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    A Robust Sidelobe Cancellation Algorithm Based on Beamforming Vector Norm Constraint by Qing Wang, Huanding Qin, Kai Yang, Hao Wu, Fangmin He, Jin Meng

    Published 2024-01-01
    “…Simulation results demonstrate comparable performance between our proposed method and existing techniques such as diagonal loading and spatial degrees-of-freedom control-based algorithms.…”
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    Improved Real-Time SPGA Algorithm and Hardware Processing Architecture for Small UAVs by Huan Wang, Yunlong Liu, Yanlei Li, Hang Li, Xuyang Ge, Jihao Xin, Xingdong Liang

    Published 2025-06-01
    “…This paper presents a non-iterative real-time Feature Sub-image Based Stripmap Phase Gradient Autofocus (FSI-SPGA) algorithm. The FSI-SPGA algorithm combines 2D Constant False Alarm Rate (CFAR) for coarse point selection and spatial decorrelation for refined point selection. …”
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