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  1. 1101

    Identification of Vehicle Logos in Deep Learning: A Comprehensive Survey by Mustafa Noaman Kadhim, Ammar Hussein Mutlag, Dalal Abdulmohsin Hammood, Nurulisma Binti Hj. Ismail

    Published 2025-03-01
    “… The identification of vehicle logos in videos and images can be considered a crucial undertaking in several applications, such as traffic surveillance systems. The accelerated progress of deep learning has resulted in an increasing need within the computer vision field for the development of efficient, robust, and outstanding services across several domains, such as the recognition and classification of automobile emblems. …”
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  2. 1102

    Unmasking AI-created visual content: a review of generated images and deepfake detection technologies by Yupeng Zhang, Zongwei Pang, Shanyuan Huang, Chengyou Wang, Xiao Zhou

    Published 2025-07-01
    “…In recent years, the rapid development of deep learning technology has greatly accelerated the progress of AI-created visual content detection. This survey introduces the detection technologies for AI-created visual content that have developed in recent years, divided into two parts: AI-generated image detection and deepfake detection. …”
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  3. 1103

    RST-YOLOv8: An Improved Chip Surface Defect Detection Model Based on YOLOv8 by Wenjie Tang, Yangjun Deng, Xu Luo

    Published 2025-06-01
    “…Surface defect detection in chips is crucial for ensuring product quality and reliability. …”
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  4. 1104
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  6. 1106

    Detection of the Prognostic Gene CYB5D2 in Cervical Squamous Epithelial Lesions by Yanan Liu, Guoqiang Zhao, Yanqing Kong, Fengyuan Zhou, Tong Zhang, Xiaohang Chen, Haiyan Hu, Fengxiang Wei

    Published 2025-01-01
    “…Results revealed a progressive downregulation of CYB5D2 expression with advancing cervical lesions. …”
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    Article
  7. 1107
  8. 1108

    Caries Detection Methods Based on Changes in Optical Properties between Healthy and Carious Tissue by Lena Karlsson

    Published 2010-01-01
    “…A conservative, noninvasive or minimally invasive approach to clinical management of dental caries requires diagnostic techniques capable of detecting and quantifying lesions at an early stage, when progression can be arrested or reversed. …”
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  9. 1109

    Preeruptive Intracoronal Radiolucencies: Detection and Nine Years Monitoring with a Series of Dental Radiographs by Chanika Manmontri, Phattaranant May Mahasantipiya, Papimon Chompu-inwai

    Published 2017-01-01
    “…The lesion was initially detected on an unerupted tooth at age eight years, eight months. …”
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  10. 1110

    Survey of neurocognitive disorder detection methods based on speech, visual, and virtual reality technologies by Tian ZHENG, Xinheng WANG, Xiaolan PENG, Ning SU, Tianyi XU, Xurong XIE, Jin HUANG, Lun XIE, Feng TIAN

    Published 2024-12-01
    “…In this context, artificial intelligence techniques have demonstrated promising potential for the objective assessment and detection of NCDs. Multimodal contactless screening technologies, such as speech-language processing, computer vision, and virtual reality, offer efficient and convenient methods for disease diagnosis and progression tracking. …”
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  13. 1113

    An Update on the Role of Alanine Aminotransferase in the Detection of Chronic Liver Diseases Relevant to Primary Care by Said A. Al-Busafi, Ahmed Alwassief, Mohammed Al-Azri

    Published 2025-01-01
    “…Alanine aminotransferase (ALT) is a key biomarker used in primary care to detect chronic liver diseases, particularly in high-risk populations such as those with metabolic syndrome and obesity. …”
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    Article
  14. 1114

    Gait-Based Parkinson’s Disease Detection Using Recurrent Neural Networks for Wearable Systems by Carlos Rangel-Cascajosa, Francisco Luna-Perejón, Saturnino Vicente-Diaz, Manuel Domínguez-Morales

    Published 2025-07-01
    “…The lack of specific screening tests and notable disease biomarkers, combined with the strain on healthcare systems, leads to delayed detection of the disease, which worsens its progression. …”
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  15. 1115

    Innovative approach to the detection of circulating tumor biomarkers: multi-dimensional application of liposome technology by Weichu Tan, Yitong Zhu, Siting Chen

    Published 2025-04-01
    “…Circulating tumor markers, such as circulating tumor cells (CTCs), extracellular vesicles (EVs), circulating tumor proteins (CTPs), and circulating tumor nucleic acids (ctNAs), play a key role in early cancer diagnosis, disease progression monitoring, and personalized therapy. Liposome-based platforms enable effective molecular recognition, targeted detection, and signal amplification by targeting circulating tumor biomarkers, significantly increasing the potential for early tumor diagnosis and treatment. …”
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  16. 1116

    Analysis of Possibilities to Automate Detection of Unscrupulous Microfinance Organizations based on Machine learning Methods by Yu. M. Beketnova

    Published 2020-12-01
    “…The microfinance sector in Russia is progressing. However, the engagement of microfinance organizations in illegal financial transactions associated with fraud, illegal creditors, money laundering, significantly limits their potential and has negative impact on their development. …”
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  17. 1117

    Volatile Organic Metabolites as Potential Biomarkers for Genitourinary Cancers: Review of the Applications and Detection Methods by Kiana L. Holbrook, Wen-Yee Lee

    Published 2025-01-01
    “…Furthermore, it explores the applications of using VOCs as cancer biomarkers, various analytical techniques, and comparisons of extraction and detection methods across different biospecimens. The potential use of VOCs in detection, monitoring disease progression, and treatment responses in the field of genitourinary oncology is examined.…”
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  18. 1118

    A weakly supervised method for 3D object detection with partially annotated samples by Bin Lu, Qing Li, Yanju Liang

    Published 2025-04-01
    “…Through heatmap prediction, we successfully facilitate knowledge transfer between the image detection and 3D point cloud detection models. Additionally, we conduct extensive experiments to evaluate the performance of our models under different parameters in the domain adaptation process, employing Exponential Moving Average (EMA) progressive learning. …”
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  19. 1119

    Recent Advances in Aptamer-Based Microfluidic Biosensors for the Isolation, Signal Amplification and Detection of Exosomes by Jessica Hu, Dan Gao

    Published 2025-01-01
    “…Exosomes carry diverse tumor-associated molecular information that can reflect real-time tumor progression, making them a promising tool for liquid biopsy. …”
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