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  1. 15261

    Evaluating Leaf Water Potential of Maize Through Multi-Cultivar Dehydration Experiments and Segmentation Thresholding by Shuanghui Zhao, Yanqun Zhang, Pancen Feng, Xinlong Hu, Yan Mo, Hao Li, Jiusheng Li

    Published 2025-06-01
    “…In contrast, there was little difference in the predictive effectiveness of the models constructed for each cultivar and all three cultivars. …”
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  2. 15262

    The Use of Artificial Intelligence in Combating Financial Crimes and Money Laundering in International Trade A Data-Driven Analysis (2010–2024) by Balouz Mohamed

    Published 2025-06-01
    “…The primary objectives are to assess the development and effectiveness of AI-driven algorithms in detecting illicit transactions, analyze the role of machine learning in real-time monitoring and predictive analytics, and investigate regulatory and ethical challenges that constrain AI’s full potential in financial crime prevention. …”
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  3. 15263

    A novel machine learning-based approach to thermal integrity profiling of concrete pile foundations by Javier Sánchez Fernández, Agustín Ruiz López, David M.G. Taborda

    Published 2025-01-01
    “…This is followed by a regression algorithm that predicts the defect size and its location within the cross-section. …”
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  4. 15264

    Optimizing the Finishing Treatment of Potato Harvester Transmission Shafts by A. V. Nemenko, M. M. Nikitin

    Published 2024-03-01
    “…The paper provides the results of testing the proposed algorithm for predicting the yield of viable products using the proposed method based on interim measurements of defect characteristics during the treatment process. …”
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  5. 15265
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    A statistical method for high-throughput emergence rate calculation for soybean breeding plots based on field phenotypic characteristics by Yan Sun, Mengqi Li, Meiling Liu, Jingyi Zhang, Yingli Cao, Xue Ao

    Published 2025-03-01
    “…Secondly, the deep learning object detection model was used to infer and predict the processed images to label soybean seedlings. …”
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  7. 15267

    Riparian habitat quality and seasonality drives spatiotemporal habitat ecology of sympatric Asian otters in southern Western Ghats by Ankit Moun, Tharmalingam Ramesh, Tharmalingam Ramesh, Riddhika Kalle, Riddhika Kalle

    Published 2024-12-01
    “…The low-quality habitat with low sign encounter rates or no evidence of otters had anthropized stream buffers, with high proportion of agriculture, weed cover and anthropogenic disturbance as influential factors predicted by the RF algorithm. SCO distribution was restricted to the higher-order streams in close proximity to hydro-power dams. …”
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  8. 15268

    Investigating the contributory factors influencing speeding behavior among long-haul truck drivers traveling across India: Insights from binary logit and machine learning technique... by Balamurugan Shandhana Rashmi, Sankaran Marisamynathan

    Published 2024-12-01
    “…The analysis results showed that RF demonstrated superior performance in predicting speeding behavior over other competing algorithms with accuracy (0.80), F1 score (0.77), and AUROC (0.81). …”
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  9. 15269

    Artificial intelligence and chordoma: A scoping review of the current landscape and future directions by Eddie Guo, Rafael D. Sanguinetti, Lyndon Boone, Jiawen Deng, Husain Shakil, Mehul Gupta

    Published 2025-01-01
    “…Common algorithms used included convolutional neural networks, support vector machines, random forests, and clustering algorithms. …”
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  13. 15273

    Digital and online symptom checkers and health assessment/triage services for urgent health problems: systematic review by Andrew Booth, Duncan Chambers, Anna J Cantrell, Maxine Johnson, Louise Preston, Susan K Baxter, Janette Turner

    Published 2019-08-01
    “…Diagnostic accuracy varied between different systems but was generally low. Algorithm-based triage tended to be more risk averse than that of health professionals. …”
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    Unveiling the sociodemographic and socioeconomic determinants of antenatal care utilization in Bangladesh: insights from the 2017–18 BDHS by Md. Mojammel Haque Sakib, Muhammad Khairul Alam, Nilufar Yasmin, Rumana Rois

    Published 2025-05-01
    “…Women with secondary and higher education levels were significantly more likely to have frequent visits, with incidence rate ratios (IRRs) of 1.27 (95% CI: 1.14–1.42) and 1.34 (95% CI: 1.18–1.51), respectively. …”
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