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  1. 3441

    UAV LiDAR expands the understanding of forest tree diversity by Jianyang Liu, Ying Quan, Guoqiang Zhao, Baozhong Yuan, Bin Wang, Mingze Li

    Published 2025-06-01
    “…Recent studies have emphasized the importance of light detection and ranging (LiDAR) features in explaining tree diversity. …”
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    Article
  2. 3442

    Estimation of Serum TLR-9,TNF-α, and IL-6 Levels in the Iraqi Patients Diagnosed as Acute Myelogenous Leukemia by Maryam Qasim Mohammed, Ali Hussein Alwan, Asmaa Amer Almukhtar

    Published 2024-07-01
    “…This may indicate the complex environment of inflammation. However, there was a strong correlation between TNF- α and IL-6 with a P-value (0.001). …”
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    Article
  3. 3443

    Research on TOC Log Evaluation Method Based on PCA-BP Neural Network by SHANG Yazhou, XU Duonian, ZHANG Zhaohui, LIU Jianyu, ZHAO Wenwen

    Published 2024-08-01
    “…Firstly, the variance inflation factor is used to detect the collinearity between the logging curves. …”
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    Article
  4. 3444

    Study on spatial characteristics of coal seam water injection diffusion and fracture network flow patterns based on B-GFP fluorescent bacteria tracing by Dong XIAO, Suping PENG, Xuechen LI, Hailun HE

    Published 2025-06-01
    “…As mining depths increase, the complexity of fracture formation under the influence of in-situ stress and tectonic forces grows, limiting the accuracy of traditional detection methods in tracing fracture flow paths during hydraulic operations. …”
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    Article
  5. 3445

    APPLIED ASPECTS OF MODERN ANTI-CRISIS FINANCIAL MANAGEMENT by Zoia S. Pestovska, Кateryna S. Romanova, Olesya S. Rosenberg

    Published 2022-06-01
    “…The analysis showed almost the lowest limit of satisfactory efficiency of MS Trade Ukraine LLC and the fact that the biggest problems are with the financial component. …”
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    Article
  6. 3446

    Measurement of contact pattern displacement of hypoid gears with optical thermal camera by Stefan GERDHENRICHS, Manuel OEHLER, Daniel BUSCHMANN, Robert Heinrich SCHMITT, Oliver KOCH

    Published 2024-09-01
    “…With increasing load, the size and the inner temperature of the contact pattern rise and a deflection to the heel is detected for drive and coast flank. Using a linear approach, the load and contact pattern parameters are showing a high correlation (R2 > 0.9) coefficient. …”
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    Article
  7. 3447

    Mechanical properties and reinforcement mechanism study of sulfate saline soil solidified by polyurethane and water glass by Tiantian Zhang, Dingfeng Cao, Chengchao Guo, Fuming Wang

    Published 2025-07-01
    “…Thus, PU/WG can fill in the original disorganized and large pores, thereby increasing the complexity of the internal pore structure via organic-inorganic gel reactions.…”
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    Article
  8. 3448
  9. 3449

    A 79 GHz SiGe Doherty Power Amplifier Suitable for Next-Generation Automotive Radar by Jan Schoepfel, Tobias T. Braun, Julia Hellwig, Holger Rucker, Nils Pohl

    Published 2024-01-01
    “…The number of environment-detecting sensors inside cars continuously increases, to enable failsafe autonomous driving. …”
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    Article
  10. 3450

    Advancing Pediatric Growth Assessment with Machine Learning: Overcoming Challenges in Early Diagnosis and Monitoring by Mauro Rodriguez-Marin, Luis Gustavo Orozco-Alatorre

    Published 2025-02-01
    “…Logistic regression is a reliable and easily interpretable model for detecting growth abnormalities in children. Unlike complex machine learning models, it offers parsimony in transparency, efficiency, and reproducibility, making it ideal for clinical settings where explainable, data-driven decisions are essential. …”
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    Article
  11. 3451

    Ground-Independent UAV Quantitative Mapping and In Situ Experimental Validation for Coral Reef Habitats by Enze Wang, Huaguo Zhang, Yunhan Ma, Han Tong, Juan Wang, Wenting Cao, Dongling Li

    Published 2025-01-01
    “…In the study area, water depths between 0 and 6 m were well detected. UAV-derived depths achieved a coefficient of determination (<italic>R</italic><sup>2</sup>) of 0.910 and an overall RMSE of 0.410 m compared to echo-sounding results. …”
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    Article
  12. 3452

    Colorectal cancer unmasked: A synergistic AI framework for Hyper-granular image dissection, precision segmentation, and automated diagnosis by Akella S. Narasimha Raju, K. Venkatesh, M. Rajababu, Ranjith Kumar Gatla, Shaik Jakeer Hussain, G. Satya Mohan Chowdary, T. Ganga Bhavani, Mohammed Kareemullah, Sameer Algburi, Ali Majdi, Ahmed M. Abdulhadi, Wahaj Ahmad Khan

    Published 2025-07-01
    “…The DeepLabV3 + achieved segmentation state-of-the-art for tasks of localisation with 0.88 Dice Coefficient and 0.71 Intersection over Union (IoU), ensuring sharp delineation of areas that are malignant. …”
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    Article
  13. 3453

    A comprehensive evaluation of deep vision transformers for road extraction from very-high-resolution satellite data by Jan Bolcek, Mohamed Barakat A. Gibril, Rami Al-Ruzouq, Abdallah Shanableh, Ratiranjan Jena, Nezar Hammouri, Mourtadha Sarhan Sachit, Omid Ghorbanzadeh

    Published 2025-06-01
    “…This study evaluates 11 transformer-based models on three publicly available datasets (DeepGlobe Road Extraction Dataset, SpaceNet-3 Road Network Detection Dataset, and Massachusetts Road Dataset) to assess their performance, efficiency, and complexity in mapping road networks from multicity, multidate, and multisensory VHR optical satellite images. …”
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    Article
  14. 3454

    Artificial Intelligence in Chest Radiography—A Comparative Review of Human and Veterinary Medicine by Andrea Rubini, Roberto Di Via, Vito Paolo Pastore, Francesca Del Signore, Martina Rosto, Andrea De Bonis, Francesca Odone, Massimo Vignoli

    Published 2025-04-01
    “…The integration of artificial intelligence (AI) into chest radiography (CXR) has greatly impacted both human and veterinary medicine, enhancing diagnostic speed, accuracy, and efficiency. In human medicine, AI has been extensively studied, improving the identification of thoracic abnormalities, diagnostic precision in emergencies, and the classification of complex conditions such as tuberculosis, pneumonia, and COVID-19. …”
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    Article
  15. 3455

    A Finite Element Approach to the Upper-Bound Bearing Capacity of Shallow Foundations Using Zero-Thickness Interfaces by Yu-Lin Lee, Yu-Tang Huang, Chi-Min Lee, Tseng-Hsing Hsu, Ming-Long Zhu

    Published 2025-07-01
    “…The findings confirm the method’s effectiveness in capturing complex failure behavior, providing a practical and accurate tool for geotechnical stability assessment and foundation design.…”
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  16. 3456

    RED-Net: A Neural Network for 3D Thyroid Segmentation in Chest CT Using Residual and Dilated Convolutions for Measuring Thyroid Volume by Min-Ji Kim, Jin-A Kim, Naae Kim, Yul Hwangbo, Hyun Jeong Jeon, Dong-Hwa Lee, Ji Eun Oh

    Published 2025-01-01
    “…The results showed that it achieved state-of-the-art performance with a Dice similarity coefficient of 0.8901.…”
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  17. 3457

    Comparative Analysis of Multi-Resolution Remote Sensing Data for Accurate Road Segmentation in Urban Environments by M. R. Çevikalp, B. Mutlu, M. Yanalak, N. Musaoğlu

    Published 2025-05-01
    “…Overall, Pl&eacute;iades Neo at 30 cm resolution offers the best balance of accuracy and data efficiency for road segmentation.…”
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    Article
  18. 3458

    Animation Pose Generation Model Based on Kinect Depth Image and Occlusion-Robust Pose-Maps Algorithm by Zhenxi Yu, Ting Wang, Peng Tian, Xuejie Li

    Published 2025-01-01
    “…Aiming at the problem of low efficiency and difficulty in adapting to complex interactive scenes in traditional animation pose generation methods, a dynamic pose generation model based on Kinect depth image and an occlusion robust pose map algorithm is proposed. …”
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  19. 3459

    Construction of intelligent gymnastics teaching model based on neural network and artificial intelligence by Guanxi Fan, Yu Wang, Tongling Wang, Dapeng Yang

    Published 2025-07-01
    “…The study offers strong technical support for the intelligent development of gymnastics education. By automatically detecting and analyzing movements, the model can deliver real-time feedback to both teachers and students, helping learners master skills more efficiently and improve performance.…”
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  20. 3460

    A deep neural network for adaptive spatial smoothing of task fMRI data by Zhengshi Yang, Xiaowei Zhuang, Mark J. Lowe, Dietmar Cordes, Dietmar Cordes

    Published 2025-04-01
    “…A common preprocessing step in fMRI analysis is spatial smoothing, which helps in detecting cluster-like active regions. The use of a heuristically selected Gaussian filter for spatial smoothing is frequently preferred due to its simplicity and computational efficiency. …”
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    Article