Showing 101 - 120 results of 236 for search 'code small detection', query time: 0.12s Refine Results
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    Research on Inspection Method of Intelligent Factory Inspection Robot for Personnel Safety Protection by Ruohuai Sun, Bin Zhao, Chengdong Wu, Xiaohong Qin

    Published 2025-05-01
    “…This mechanism combines multi-scale feature fusion with a gated feature extraction module to improve detection accuracy, strengthening the model’s ability to detect occluded targets, partial images, and small objects. …”
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    Role of transcriptomics in the study of oral cancer by Prabhu Manickam Natarajan, Vidhya Rekha Umapathy

    Published 2025-07-01
    “…We delve into RNA sequencing (RNA-seq), single-cell RNA sequencing (scRNA-seq), long non-coding RNA sequencing (lncRNA-seq), microarray analysis, and small RNA profiling, showcasing their unique contributions to unraveling the complexities of oral cancer. …”
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  5. 105

    Identification of NURR1 (Exon 4) and FOXA1 (Exon 3) Haplotypes Associated with mRNA Expression Levels in Peripheral Blood Lymphocytes of Parkinson’s Patients in Small Indian Popula... by Jayakrishna Tippabathani, Jayshree Nellore, Vaishnavie Radhakrishnan, Somashree Banik, Sonia Kapoor

    Published 2017-01-01
    “…Here, we study the expression of NURR1 and FOXA1 mRNA in peripheral blood lymphocytes and its haplotypes in coding region in a small Chennai population of India. …”
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  6. 106

    Lung cancer cell derived sEVs enhance the metastasis of non-small cell lung cancer via SNHG12/miR-326/SLC7A11 axis by Yiqian Liu, Ling Zhang, Jian Wang, Jiali Xu, Jing Xu, Mengyan Xie, Rong Wang

    Published 2025-12-01
    “…Abnormally expressed long non-coding (lnc)RNAs are closely associated with the pathogenesis of non-small cell lung cancer (NSCLC); thus, the present study aimed to investigate the potential role of SNHG12 in NSCLC. …”
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    OperonSEQer: A set of machine-learning algorithms with threshold voting for detection of operon pairs using short-read RNA-sequencing data. by Raga Krishnakumar, Anne M Ruffing

    Published 2022-01-01
    “…In addition, we provide the code so that users can retrain the algorithm and re-establish hyperparameters based on any data they choose, allowing for this method to be expanded as additional data is generated. …”
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    A reliable approach for identifying acute lymphoblastic leukemia in microscopic imaging by Mimosette Makem, Levente Tamas, Lucian Bușoniu

    Published 2025-07-01
    “…In this study, we deployed a pre-trained CNN model (MobileNet) that has a small size and low complexity, making it suitable for mobile applications and embedded systems. …”
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  13. 113

    JSCC-Aided INR for High-Frequency Detail Preservation in LiDAR by Akihiro Kuwabara, Sorachi Kato, Toshiaki Koike-Akino, Takuya Fujihashi

    Published 2025-01-01
    “…Implicit neural representation (INR) has gained attention for its compact data representation, but its capacity to accurately represent high-frequency details is insufficient when using small models. In this paper, we propose a novel joint source-channel coding (JSCC) scheme that integrates INR with analog residual transmission for high-quality and efficient point cloud transmission. …”
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  14. 114

    Hyper CLS-Data-Based Robotic Interface and Its Application to Intelligent Peg-in-Hole Task Robot Incorporating a CNN Model for Defect Detection by Fusaomi Nagata, Ryoma Abe, Shingo Sakata, Keigo Watanabe, Maki K. Habib

    Published 2024-10-01
    “…Due to the HCLS-data-based robot interface, the robotic control sequence can be visually and unifiedly described as NC codes. In addition, a VGG19-based CNN model for defect detection, whose classification accuracy is over 99% and average time for forward calculation is 70 ms, can be systematically incorporated into a robotic control application that handles multiple robots. …”
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    Identification of Shade Avoidance Response MicroRNAs and Their Targets in <i>Solanum tuberosum</i> L. via High-Throughput Sequencing by Mei Liu, Jiangwei Yang, Ning Zhang, Run Qiao, Xinxia Li, Fengjiao Zhu, Huaijun Si

    Published 2024-11-01
    “…MicroRNAs (miRNAs) are non-coding, single-stranded RNA molecules that regulate gene expression post-transcriptionally. …”
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    Snhg3 improves glucose metabolism by promoting Sestrin2 expression in mice by ZHANG Minglong, GAO Mingyue, XIE Xianghong, GUO Zeyu, LIU Xiaojun, YAN Li

    Published 2025-06-01
    “…Objective To investigate the role of long non-coding RNA-small nucleolar RNA host gene 3(lncRNA-Snhg3) and its regulatory mechanism in the hepatic glucose metabolism of mice. …”
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