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  1. 121

    Enhancing Camera Source Identification: A Rapid Algorithm with Enhanced Discriminative Power by Zhimao Lai, Lijuan Cheng, Renhai Feng

    Published 2024-12-01
    “…Digital image source identification primarily focuses on analyzing and detecting the machine imprints or camera fingerprints left by imaging devices during the imaging process to trace the origin of digital images. …”
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    Article
  2. 122
  3. 123

    Identification of source and sink points of population flow based on POI-KG embedding by Yanhao Li, Rui Li, Xinrui Liu, Bosen Li

    Published 2025-08-01
    “…This study proposes a method using knowledge graph embedding that incorporates the semantic and spatial information of points of interest (POI) to represent factors influencing population flow, allowing for source and sink point identification with minimal reliance on population flow data. …”
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  4. 124

    A simple interpolation-based data augmentation method for implicit sentiment identification by Yuxia Zhao, Mahpirat Mamat, Alimjan Aysa, Kurban Ubul

    Published 2025-07-01
    “…In recent years, deep learning models have made significant progress in most tasks in NLP, but implicit sentiment identification still faces two major challenges. First, implicit sentiment texts are more complex, and it is difficult to understand the semantics due to the lack of sentiment words compared to explicit sentiment texts. …”
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    Malicious software identification based on deep learning algorithms and API feature extraction by Wei Sun

    Published 2025-03-01
    “…The efficient malware identification method developed can cope with the constantly evolving malware threats.…”
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    Article
  8. 128

    Multi-Branch Feature Alignment Network for Misaligned and Occluded Person Re-Identification by Chunyan Lyu, Hai Huang, Lixi Zhang, Wenting Zhu, Zhengyang Wang, Kejun Wang, Caidong Jiao

    Published 2024-01-01
    “…As a pivotal computer vision technique, person re-identification (re-ID) assumes a paramount role in bolstering public security. …”
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  9. 129

    Fine-Grained Fusion With Distractor Suppression for Video-Based Person Re-Identification by Jiali Xi, Qin Zhou, Yiru Zhao, Shibao Zheng

    Published 2019-01-01
    “…Video based person re-identification aims to associate video clips with the same identity by designing discriminative and representative features. …”
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    Multi-granularity feature intersection learning for visible-infrared person re-identification by Sixian Chan, Jie Wang, Jiaao Cui, Jie Hu, Zhuorong Li, Jiafa Mao

    Published 2025-05-01
    “…Abstract This paper proposes a multi-granularity feature intersection network (MGFINet) for visible-infrared person re-identification (VI-ReID). VI-ReID aims to retrieve images of the same pedestrian from different spectral cameras. …”
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  12. 132

    Learning super-resolution and pyramidal convolution residual network for vehicle re-identification by Mengxue Liu, Weidong Min, Qing Han, Hongyue Xiang, Meng Zhu

    Published 2024-11-01
    “…Abstract Vehicle re-identification (Vehicle Re-ID) aims at retrieving and tracking the specified target vehicle with multiple other cameras, which can provide help in checking violations and catching fugitives, but there are still the following problems that need to be solved urgently. …”
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  13. 133
  14. 134

    Linguistic and Cultural Aspect of Interpretation of Aphoristic Expressions with Zoocomponents ‘Dog’ and ‘Horse’ (Khanty and Khakass Languages) by A. D. Kaksin

    Published 2022-10-01
    “…From the standpoint of linguistic typology in the lexico-semantic sphere, the words denoting a dog and a horse in the Khanty and Khakass languages are considered. …”
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    Identity Hides in Darkness: Learning Feature Discovery Transformer for Nighttime Person Re-Identification by Xin Yuan, Ying He, Guozhu Hao

    Published 2025-01-01
    “…Person re-identification (Re-ID) aims to retrieve all images of the specific person captured by non-overlapping cameras and scenarios. …”
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    Genome-wide identification and characterization of DNA enhancers with a stacked multivariate fusion framework. by Yansong Wang, Zilong Hou, Yuning Yang, Ka-Chun Wong, Xiangtao Li

    Published 2022-12-01
    “…In addition, an independent test set was used to validate the generalization performance of SMFM by comparing it to other state-of-the-art enhancer identification methods. Moreover, we performed motif analysis based on the contribution scores of different bases of enhancer sequences to the final identification results. …”
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  20. 140