Showing 6,801 - 6,820 results of 16,799 for search '"Prediction', query time: 0.07s Refine Results
  1. 6801

    Analysis of Dynamic Biogas Consumption in Chinese Rural Areas at Village, Township, and County Levels by Gongyi Li, Tao Luo, Jianghua Xiong, Yanna Gao, Xi Meng, Yaoguo Zuo, Yi Liu, Jing Ma, Qiuwen Chen, Yuxin Liu, Yichong Xin, Yangjie Ye

    Published 2025-01-01
    “…The results showed that the predicted and measured biogas consumption and dynamic load were consistent. …”
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    Article
  2. 6802

    Progress in quality assessment of Italian saffron by Irene Locatelli, Davide Pedrali, Silvia Grassi, Susanna Buratti, Annamaria Giorgi, Luca Giupponi

    Published 2025-01-01
    “…Discriminant and class-modelling approaches were developed to predict saffron quality subcategory. Best results were obtained by linear discriminant analysis models with accuracy in calibration (92.7%), cross-validation (86.4%) and prediction (87.0%). …”
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  3. 6803

    THE ROLE OF ARTIFICIAL INTELLIGENCE (AI) ON MRI BRAIN EXAMINATION WITH CLINICAL ISCHEMIC STROKE by Oktaviani Aulia WMS, Emi Murniati, Agustina Dwi Prastanti

    Published 2024-03-01
    “…Result: The role of AI in MRI brain examination with clinical ischemic stroke, namely its role in automatic lesion segmentation, Time Since Stroke (TSS) classification, and infarct volume prediction. The advantages of AI included short image processing times and accurate results. …”
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  4. 6804
  5. 6805

    Simulation and Experimental Study of the Single-Pulse Femtosecond Laser Ablation Morphology of GaN Films by Mingyuan Wang, Tong Zhang, Yanping Yuan, Zhiyong Wang, Yanlei Liu, Lin Chen

    Published 2025-01-01
    “…The predicted errors of the ablation diameters and depths were within 4.71% and 10.9%, respectively. …”
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    Article
  6. 6806

    Reaction Kinetics of Cinnamaldehyde Hydrogenation over Pt/SiO2: Comparison between Bulk and Intraparticle Diffusion Models by Ali Al-Shathr, Zaidoon M. Shakor, Bashir Y. Al-Zaidi, Hasan Sh. Majdi, Adnan A. AbdulRazak, Safa Aal-Kaeb, Adel A. Shohib, James McGregor

    Published 2022-01-01
    “…Five Langmuir–Hinshelwood kinetic models were investigated to fit the experimental data. The predictions from the bulk model were compared with predictions from the intraparticle diffusion model. …”
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    Article
  7. 6807

    Methods of yeast genome editing by A. S. Rozanov, V. N. Shlyahtun, L. A. Tekutieva, O. M. Son, S. V. Sizova, S. E. Peltek

    Published 2018-01-01
    “…As a result, the rate of analysis and prediction of targets for genome editing is currently higher than the rate of genome editing, which led to the development of new methods of genetic engineering. …”
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    Article
  8. 6808

    Multiplex Network Embedding Model with High-Order Node Dependence by Nianwen Ning, Qiuyue Li, Kai Zhao, Bin Wu

    Published 2021-01-01
    “…The experimental results demonstrate that the proposed model outperforms the state-of-the-art methods in cross-domain link prediction and shared community detection tasks.…”
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    Article
  9. 6809

    Biomarkers of inflammation and colorectal cancer risk by Yuting Li, Yuting Li, Yuting Li, Yuexin Luo, Yue Ran, Furong Lu, You Qin

    Published 2025-02-01
    “…Overall, while evidence highlights the significance of inflammatory biomarkers in CRC risk prediction, larger prospective studies are urgently needed to clarify their roles due to existing inconsistencies and methodological limitations.…”
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    Article
  10. 6810

    Comparison of Risks Factors for Unplanned ICU Transfer after ED Admission in Patients with Infections and Those without Infections by Jeffrey Che-Hung Tsai, Ching-Wan Cheng, Shao-Jen Weng, Chin-Yin Huang, David Hung-Tsang Yen, Hsiu-Ling Chen

    Published 2014-01-01
    “…The objectives of this study were to compare the risk factors for unplanned intensive care unit (ICU) transfer after emergency department (ED) admission in patients with infections and those without infections and to explore the feasibility of using risk stratification tools for sepsis to derive a prediction system for such unplanned transfer. Methods. …”
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    Article
  11. 6811

    The Emerging Role of Implementing Machine Learning in Food Recommendation for Chronic Kidney Diseases Using Correlation Analysis by Sachin Gupta, Neeraj Garg, Divyanshu Sinha, Babita Yadav, Bhoomi Gupta, Shahajan Miah

    Published 2022-01-01
    “…This technology helps physicians in the accurate diagnosis of kidney disease and helps in effective treatment prediction by recommending required nutrition. The present research relates to the use of ML in proper kidney disease diagnosis and food recommendations for treatment accordingly. …”
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    Article
  12. 6812

    Expansion of medical school admission quotas in Korea, is it really necessary? by Jeong Hun Park, Jungchan Lee, Kye-Hyun Kim, Yo Han Shin, Seog-Kyun Mun

    Published 2025-01-01
    “…Results The Korean government’s prediction that there will be a shortage of 10,000 doctors in 2035 can be confirmed by the underestimation of the number of working days (265 days). …”
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  13. 6813

    Harnessing the Influence of Pressure and Nutrients on Biological CO<sub>2</sub> Methanation Using Response Surface Methodology and Artificial Neural Network—Genetic Algorithm Appro... by Alexandros Chatzis, Konstantinos N. Kontogiannopoulos, Nikolaos Dimitrakakis, Anastasios Zouboulis, Panagiotis G. Kougias

    Published 2025-01-01
    “…RSM identified optimal ranges for trace elements and pressure, while ANN-GA demonstrated superior predictive accuracy, capturing nonlinear relationships with a high R² (>0.99) and minimal prediction errors. …”
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    Article
  14. 6814

    Accuracy of Intraocular Lens Power Calculation Formulas for Highly Myopic Eyes by Yichi Zhang, Xiao Ying Liang, Shu Liu, Jacky W. Y. Lee, Srinivasan Bhaskar, Dennis S. C. Lam

    Published 2016-01-01
    “…Barrett Universal II formula produced the lowest predictive error and the least variable predictive error compared with the SRK/T, Haigis, Holladay, and Hoffer Q formulas. …”
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    Article
  15. 6815

    Estimation of True Serum Thyroglobulin Concentration Using Simultaneous Measurement of Serum Antithyroglobulin Antibody by Byeong-Cheol Ahn, Won Kee Lee, Shin Young Jeong, Sang-Woo Lee, Jaetae Lee

    Published 2013-01-01
    “…Mathematical equations for prediction of expected Tg concentration with measured Tg and TgAb concentrations were deduced. …”
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  16. 6816

    Uncertainty-Aware Semi-Supervised Method for Pectoral Muscle Segmentation by Yutao Tang, Yongze Guo, Huayu Wang, Ting Song, Yao Lu

    Published 2025-01-01
    “…The final target predictions are a combination of high-confidence teacher predictions and refined low-confidence predictions. …”
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    Article
  17. 6817

    Forecasting mental states in schizophrenia using digital phenotyping data. by Thierry Jean, Rose Guay Hottin, Pierre Orban

    Published 2025-02-01
    “…Previous research focused on binary classification and continuous regression, disregarding the often ordinal nature of prediction targets derived from clinical rating scales. …”
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    Article
  18. 6818

    Correlation between Maximum Clot Firmness in FIBTEM and Fibrinogen Level in Critical Trauma Patients by Supphamongkhon Khunakanan, Osaree Akaraborworn, Burapat Sangthong, Komet Thongkhao

    Published 2019-01-01
    “…FIBTEM MCF had poor prediction of fibrinogen level; however, it can help to identify patients who have hypofibrinogenemia.…”
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  19. 6819

    Analysis of Physicochemical Properties, Volatile Flavor Compounds and Bacterial Communities in Broad Bean Paste from Sichuan and Chongqing by TU Dawei, MA Hongneng, LI Jia, KANG Junhan, LIU Wenjun

    Published 2025-02-01
    “…Orthogonal partial least squares-discriminant analysis (OPLS-DA) was employed to establish a prediction model with good stability for discriminating the nine samples of broad bean paste. …”
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    Article
  20. 6820

    A temporal knowledge graph reasoning model based on recurrent encoding and contrastive learning by Weitong Liu, Khairunnisa Hasikin, Anis Salwa Mohd Khairuddin, Meizhen Liu, Xuechen Zhao

    Published 2025-01-01
    “…In the domain of temporal knowledge graph extrapolation reasoning, the prediction of future occurrences is of great significance and presents considerable obstacles. …”
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    Article