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  1. 921

    APPROACH TO IMAGE ANALYSIS FOR COMPUTER VISION SYSTEMS by N. A. Iskra

    Published 2020-03-01
    “…The aim of the work is to develop a method for automatically construction of a semantic model, that formalizes the spatial relationships between objects in the image and research thereof. …”
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    Article
  2. 922

    Ground-Truth-Free 3D Seismic Denoising Based on Diffusion Models: Achieving Effective Constraints Through Embedded Self-Supervised Noise Modeling by Zhonghan Zhang, Guihe Qin, Yanhua Liang, Minghui Sun, Yingqing Wang, Jiaru Song

    Published 2025-03-01
    “…Moreover, few algorithms are specifically designed to leverage the unique spatial structural information inherent in 3D seismic data, leading to inefficient utilization of this valuable information during denoising. …”
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    Article
  3. 923

    EEG Depression Recognition Based on Multi-domain Features Combined with CBAM Model by CHEN Yu, HU Xiuxiu, WANG Sheng

    Published 2024-06-01
    “…Experiments show that the depression recognition algorithm based on the CBAM model proposed in this paper has achieved an accuracy rate of 99. 10% on the public data set, which provides an effective new method for the research on depression recognition of EEG signals.…”
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    Article
  4. 924

    A High-Resolution Gridded Dataset for China’s Monthly Sectoral Water Use by Yuqian Zhang, Yunhe Yin, Mijia Yin, Xufang Zhang

    Published 2025-07-01
    “…Abstract High-quality water use datasets are essential for advancing water resources research in changing environment. However, existing Chinese water use data, typically aggregated by administrative boundaries or watersheds, lack sufficient spatial and temporal resolution. …”
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    Article
  5. 925
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    Classifying Location Points as Daily Activities using Simultaneously Optimized DBSCAN-TE Parameters. by Gregory S. Macfarlane, Gillian Riches, Emily K. Youngs, Jared A. Nielsen

    Published 2024-04-01
    “…In this research, we apply a simulated annealing optimization procedure to identify the values of four parameters used in a density-based spatial clustering with additional noise and time entropy (DBSCAN-TE) algorithm. …”
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    Article
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    Feature selection‐based android malware adversarial sample generation and detection method by Xiangjun Li, Ke Kong, Su Xu, Pengtao Qin, Daojing He

    Published 2021-11-01
    “…To clarify the process and theory of adversarial sample generation, an adversarial sample generation algorithm is proposed that filters features based on feature spatial distribution and definition. …”
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    Article
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    Artificial Intelligent Techniques with Watermarking by Nada Saleem, Baydaa Khaleel, Shahbaa Khaleel

    Published 2009-07-01
    “…This research presents three robust blind watermarking algorithms in the discrete wavelet transform and spatial domain based on neural network and fuzzy logic artificial intelligent techniques. …”
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    Article
  15. 935

    Human Clustering Based on Graph Embedding and Space Functions of Trajectory Stay Points on Campus by Ke Xie, Tao Wang, Pan Zhong, Zihao Zhao, Zixiang Wang

    Published 2025-03-01
    “…Available research on spatial clustering patterns of human activities has been investigated mainly based on similarities of locations and temporal attributes of spatial trajectories. …”
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    Article
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    Urban surface water bodies mapping using the automatic k-means based approach and sentinel-2 imagery by Mateo Gašparović, Sudhir Kumar Singh

    Published 2023-12-01
    “…Algorithm was tested on Sentinel-2 data and can be applied globally for automatic mapping water bodies in 10-m spatial resolution. …”
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    Article
  20. 940