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  1. 2821
  2. 2822

    Lightweight Deep Learning Model for Fire Classification in Tunnels by Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, Young-Im Cho

    Published 2025-02-01
    “…This model integrates MobileNetV3 for spatial feature extraction, Temporal Convolutional Networks (TCNs) for temporal sequence analysis, and advanced attention mechanisms, including Convolutional Block Attention Modules (CBAMs) and Squeeze-and-Excitation (SE) blocks, to prioritize critical features such as flames and smoke patterns while suppressing irrelevant noise. …”
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  3. 2823

    Crude oil type classification and source rock identification in Miaoxi area of Bohai Sea area based on stoichiometric method by Youjun TANG, Tianyi FU, Haifeng YANG, Feilong WANG, Guomin TANG, Peng SUN

    Published 2025-07-01
    “…Using multivariate statistical analysis, researchers can comprehensively examine the interrelationships among multiple correlated variables, which is particularly suitable for large-scale data mining and regional oil-oil and oil-source analysis. …”
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  4. 2824

    A Method for Quantifying Mung Bean Field Planting Layouts Using UAV Images and an Improved YOLOv8-obb Model by Kun Yang, Xiaohua Sun, Ruofan Li, Zhenxue He, Xinxin Wang, Chao Wang, Bin Wang, Fushun Wang, Hongquan Liu

    Published 2025-01-01
    “…Image detection performance and seedling information were analyzed considering various dates, heights, and resolutions, and the K-means algorithm was utilized to cluster feature points and extract row information. …”
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  5. 2825

    Decoding Pain Dynamics: EEG Insights into Neural Responses and Classification via RQA Analysis by Mahsa Tavasoli, Zahra Einalou, Reza Akhondzadeh

    Published 2025-07-01
    “…For this purpose, at the first step phasic pain is produced using coldness, then dynamical features via EEG are analyzed via Recurrence Quantification Analysis (RQA) method and finally Rough neural network classifier has been used for achieving accuracy to detect and categorize pain and non-pain states. …”
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  6. 2826

    Establishing and Assessing of a Leak Collection System Analysis Method by Computational Fluid Dynamics by Dae Kyung Choi, Won Man Park, Woo-Shik Kim, Dong-Jin Euh, Tae-Soon Kwon, Choengryul Choi

    Published 2025-01-01
    “…In this study, we designed a numerical analysis process to evaluate a prototype leak detection system simulator. …”
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  7. 2827

    Decoding Anomalous Diffusion Using Higher-Order Spectral Analysis and Multiple Signal Classification by Miguel E. Iglesias Martínez, Òscar Garibo-i-Orts, J. Alberto Conejero

    Published 2025-02-01
    “…Recent advances using statistical methods and recurrent neural networks have made it possible to detect such phenomena, even in noisy conditions. In this work, we explore feature extraction through parametric and non-parametric spectral analysis methods to decode anomalously diffusing trajectories, achieving reduced computational costs compared with other approaches that require additional data or prior training. …”
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  8. 2828

    Ultra-rapid analysis of p53 gene for lung cancer diagnosis within 60 s by Yang Yu, Yanguang Ding, Yu Sun, Jing Yang, Liangjie Feng, Chang Liu, Menglong Shu, Fengchao Wang, Jin Chen

    Published 2025-06-01
    “…Remarkably, codon 249 (118 bp) and codon 248 (200 bp) of the p53 gene could be well identified and quantified in an ultra-short time of 60 s simultaneously. The detected concentration of the two target samples (codon 249 and codon 248 fragments) featured a well linearity determined by the SDIS method, and the theoretical detection limit could achieve 0.016 62 and 0.054 67 ng/μl, respectively. …”
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  9. 2829

    Analysis of prognostic factors for community-acquired pneumonia of elderly patients in medical and nursing institutions by WEN Jie, ZHANG Huanli, YUN Xia, XU Min, ZHANG Anna, ZHOU Qingbo

    Published 2024-09-01
    “…Objective To analyze the clinical features and prognostic factors of community-acquired pneumonia (CAP) of elderly patients in medical and nursing institutions. …”
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  10. 2830
  11. 2831

    Quantitatively Detecting Camellia Oil Products Adulterated by Rice Bran Oil and Corn Oil Using Raman Spectroscopy: A Comparative Study Between Models Utilizing Machine Learning Alg... by Henan Liu, Sijia Ma, Ni Liang, Xin Wang

    Published 2024-12-01
    “…Independent component analysis (ICA), competitive adaptive reweighing sampling (CARS), and their dual combinations served to extract spectral features. …”
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  12. 2832

    Artificial Intelligence in Healthcare: Innovation and Impact in Medical Practice by Amelia-Maria ISAC, Corina VERNIC

    Published 2025-05-01
    “…However, significant variability exists, particularly in smaller datasets (n < 500) and when suboptimal feature selection strategies are used. The analysis highlights the necessity of robust validation techniques, such as cross-validation and external dataset testing, to mitigate overfitting and improve model reliability across diverse clinical settings. …”
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  13. 2833

    Bidimensional Increment Entropy for Texture Analysis: Theoretical Validation and Application to Colon Cancer Images by Muqaddas Abid, Muhammad Suzuri Hitam, Rozniza Ali, Hamed Azami, Anne Humeau-Heurtier

    Published 2025-01-01
    “…Entropy algorithms are widely applied in signal analysis to quantify the irregularity of data. In the realm of two-dimensional data, their two-dimensional forms play a crucial role in analyzing images. …”
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  14. 2834

    An open-source tool for analysis and automatic identification of dendritic spines using machine learning. by Michael S Smirnov, Tavita R Garrett, Ryohei Yasuda

    Published 2018-01-01
    “…Our algorithm is rapid, flexible, has over 90% accuracy in spine detection, and bundled with our user-friendly, open-source, MATLAB-based software package for spine analysis.…”
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  15. 2835

    Analysis of Flame Evolution Generated from Methyl Laurate Droplet Using Deep Learning by Fikrul Akbar Alamsyah, Chi-Cheng Cheng

    Published 2025-03-01
    “…YOLOv9, a state-of-the-art object detection model, is employed to automatically segment and track key flame features such as flame shape, size, and intensity. …”
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  16. 2836
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    Chiral and achiral analysis of chiral flavonoids with liquid and supercritical fluid chromatography – A review by Laurine Réset, Clément De Saint Jores, Caroline West

    Published 2024-11-01
    “…One- and two-dimensional methods are reported, and the different detection modes are also examined. Note that this review did not aim at being comprehensive, but rather at displaying the diversity and main features of current methods.…”
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