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  1. 1401

    Transcriptomic exploration yields novel perspectives on the regulatory network underlying trichome initiation in Gossypium arboreum hypocotyl by Yuxing Xie, Luying Yang, Zewei Zhao, Mingquan Ding, Yuefen Cao, Xin Hu, Junkang Rong

    Published 2025-07-01
    “…RT-qPCR validation confirmed their stage-specific expression patterns, which were consistent with the RNA-Seq data. …”
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  2. 1402

    Enhancing action recognition in educational settings using AI-driven information systems for public health monitoring by Changchun Lu, Han Ruijuan

    Published 2025-07-01
    “…These limitations hinder their effectiveness, particularly in detecting health-related behaviors such as sedentary patterns, social interactions, and hygiene compliance.MethodsTo overcome these shortcomings, this research introduces an AI-driven information system that leverages advanced deep learning models and an Adaptive Knowledge Embedding Network (AKEN) to improve action recognition accuracy. …”
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  3. 1403
  4. 1404

    Bio-Magneto Sensing and Unsupervised Deep Multiresolution Analysis for Labor Predictions in Term and Preterm Pregnancies by Ejay Nsugbe, Oluwarotimi Williams Samuel, Jose Javier Reyes-Lagos, Dawn Adams, Olusayo Obajemu

    Published 2023-11-01
    “…The effective prediction of preterm labor continues to be a topic of interest for research within pregnancy medicine, where uterine muscle contraction signals have shown to be insightful to predict a potential preterm birth. …”
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  5. 1405

    DEICTIC MITIGATION VS COMMISSIVE ACTS IN POLITICAL INTERVIEW (BASED ON THE MODERN EUROPEAN DISCOURSE OF AID TO UKRAINE) by Nataliia K. Kravchenko, Sviatoslav I. Vylinskyi, Oleksandr I. Yudenko

    Published 2022-12-01
    “…The purpose is achieved by solving the following objectives that determine the research algorithm, including (a) felicity conditions revealing for commissives, weakened by shields that affect the illocutionary force of acts; (b) identifying those deictic coordinates of statements, the reference to which weakens the illocutionary force of commissives; (c) lexical-semantic and syntactic deictic mitigators complex determination. …”
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  6. 1406
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  8. 1408

    DECONSTRUCTING NARRATIVE STRUCTURE: A LINGUISTIC FRAMEWORK FOR CT-BASED SHORT STORY WRITING by Fransiska Marta Sari, Mudhar, Riyati, Sri Utami

    Published 2025-06-01
    “…Computational Thinking (CT) is presented as a potential solution, to be implemented in the story outlining process by breaking down the complex story ideas into smaller parts (decomposition), identifying patterns in narratives (pattern recognition), focusing on important elements (abstraction), and designing structured writing steps (algorithm). …”
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  9. 1409

    Investigation of the ecology of winter plankton of Lake Baikal using complex instrumental methods by E. Yu. Naumova, T. P. Rzhepka, M. M. Makarov, A. S. Olshukov, K. M. Kucher, M. Z. Magomedova, E. S. Troitskaya

    Published 2021-10-01
    “…The obtained field data will make it possible to further improve the pattern recognition algorithm in the software of the holographic installation for the specific conditions of Lake Baikal. …”
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  10. 1410

    Rock blasting evaluation - image recognition method based on deep learning by Haibao YI, Aixiang Wu, Xiliang Zhang

    Published 2025-07-01
    “…Research has shown that the half-hole rate derived from manual statistics and image recognition is 68.16% and 67.15%, respectively, with an average error of 1.49%. …”
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  11. 1411
  12. 1412

    Enhanced supervised classification of seasonal pastures on the Qinghai-Tibet Plateau (1990–2020) using Landsat optimal time window by Panfei Fang, Jia Wang, Haifeng Xu, Ruonan Li, Long Yu, Shaodong Huang, Yuying Liang, Pengfei Zheng

    Published 2025-12-01
    “…Further spatiotemporal analysis revealed that between 1990 and 2020, the area of warm-season pastures declined by 14.11%, while cold-season pastures expanded by 102.97%. This research fills a critical knowledge gap regarding the spatiotemporal dynamics of seasonal pastures on the Qinghai-Tibetan Plateau and reveals the trends and patterns of their changes. …”
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  13. 1413

    Retracted: Study on Modeling Method of Forest Tree Image Recognition Based on CCD and Theodolite by Yeqiong Shi, Sainan Wang, Shuna Zhou, M. M. Kamruzzaman

    Published 2020-01-01
    “…Accurate identification of the types of forest trees can lay the foundation for the research and utilization of forest resources. With the development of remote sensing technology, traditional optical remote sensing can only describe the horizontal pattern of ground features, which makes it difficult to identify single tree species. …”
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  14. 1414
  15. 1415

    Registration of 2D C-Arm and 3D CT Images for a C-Arm Image-Assisted Navigation System for Spinal Surgery by Chih-Ju Chang, Geng-Li Lin, Alex Tse, Hong-Yu Chu, Ching-Shiow Tseng

    Published 2015-01-01
    “…Five similarity measure methods of 2D-3D image registration including Normalized Cross-Correlation, Gradient Correlation, Pattern Intensity, Gradient Difference Correlation, and Mutual Information combined with three optimization methods including Powell’s method, Downhill simplex algorithm, and genetic algorithm are applied to evaluate their performance in converge range, efficiency, and accuracy. …”
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  16. 1416
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    Optimizing Personalized and Context-Aware Recommendations in Pervasive Computing Environments by A. C. Kaladevi, V. Vinoth Kumar, T. R. Mahesh, Suresh Guluwadi

    Published 2024-12-01
    “…Abstract The researchers in the current era provided many new recommendation methodologies. …”
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  18. 1418
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    Automated Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Deep Learning Methods and Sequential Data by Chien Wei Oei, Eddie Yin Kwee Ng, Matthew Hok Shan Ng, Yam Meng Chan, Vinithasree Subbhuraam, Lai Gwen Chan, U. Rajendra Acharya

    Published 2025-05-01
    “…The combination of using DL algorithms, such as multi-layer perceptron (MLP) and long short-term memory (LSTM), which can process complex patterns in the data, and the inclusion of new data types, such as sequential data, helped to improve model performance. …”
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  20. 1420

    A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons by Liya Li, Liya Li, Ying Hu, Ying Hu, Xiaojun Wang, Pei Sun, Tingwei Quan

    Published 2025-08-01
    “…Advances in molecular labeling techniques and optical imaging technologies have spurred extensive research into the patterns of long-range neuronal projections. …”
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