Suggested Topics within your search.
Showing 15,841 - 15,860 results of 20,616 for search '((prediction OR reduction) OR education) algorithms', query time: 0.27s Refine Results
  1. 15841
  2. 15842
  3. 15843
  4. 15844
  5. 15845
  6. 15846
  7. 15847

    Development of Anthro-Fitness Model for Evaluating Firefighter Recruits’ Performance Readiness Using Machine Learning by Mohamed Borhanudin Mohd Yusof, Musa Rabiu Muazu, Nazarudin Mohamad Nizam, Abdul Majeed Anwar P. P., Raj Naresh Bhaskar, Razmaan Mohd Azraai Mohd

    Published 2024-06-01
    “…A k-means clustering algorithm was utilized to group the performance levels of the firefighters whilst a quadratic discriminant analysis model was employed to predict the grouping of firefighters based on these parameters. …”
    Get full text
    Article
  8. 15848
  9. 15849

    THE PLACE OF THE ‘FRISBEE GAME’ IN THE PHYSICAL CULTURE CURRICULUM IN THE KINDERGARTENS by Ts. Traykova

    Published 2021-11-01
    “…Results: The necessity of including new, attractive, and funny games in the practice of pre-school physical education is argued. an algorithm for initial training of the elements ‘throw’ and ‘catch’ for 6-7-year-olds has been developed. …”
    Get full text
    Article
  10. 15850

    circGPAcorr: an integrative tool for functional annotation of circular RNAs using expression data by Petr Ryšavý, Alikhan Anuarbekov, Michaela Dostálová Merkerová, Jiří Kléma

    Published 2025-08-01
    “…However, validation data for RNA interactions are often sparse and predicted interactions contain many false positives. …”
    Get full text
    Article
  11. 15851
  12. 15852

    Distributed OPGW abnormal vibration monitoring and forewarning based on LSTM by Tianlong Bu, Hanpeng Kou, Dapei Zhang, Zhenhua Feng, Helen Law, Bin Wang

    Published 2025-02-01
    “…In addition, the abnormal vibration forewarning method is analyzed by correlating predicted data with historical data. Experimental results in Hulunbuir demonstrate that the LSTM algorithm performs well in predictions over a 22-h period, evidenced by a root mean square error of 0.8729 and a determination coefficient (R2) of 0.9938 for the fitting curve with actual results. …”
    Get full text
    Article
  13. 15853

    The association between ozone exposure and blood pressure in a general Chinese middle-aged and older population: a large-scale repeated-measurement study by Chen Tang, Yiqin Zhang, Jingping Yi, Zhonghua Lu, Xianfa Xuan, Hanxiang Jiang, Dongbei Guo, Hanyu Xiang, Ting Wu, Jianhua Yan, Siyu Zhang, Yuxin Wang, Jie Zhang

    Published 2024-11-01
    “…During the study period of up to 30 days, each 10 μg/m3 increase in maximum daily 8-h average O3 concentration was associated with reductions in SBP (β =  − 1.176 mm Hg), DBP (− 0.237 mm Hg), PP (β =  − 0.973 mm Hg), and MAP (β =  − 0.544 mm Hg). …”
    Get full text
    Article
  14. 15854
  15. 15855
  16. 15856
  17. 15857
  18. 15858

    Performance evaluation of geopolymer masonry units: A hybrid approach combining laboratory testing and AI modeling by Md. Zia Ul Haq, Sandeep Singh, Tarak Vora, A.K. Dasarathy, Kaushik Bharti, Vanitha S, Priyadarshi Das, Laura Ricciotti

    Published 2025-12-01
    “…The study also employs nine machine learning algorithms on a dataset comprising 612 prism and 63 wallette data points, assessing performance based on six predictive metrics. …”
    Get full text
    Article
  19. 15859

    Machine learning-based detection of DDoS attacks on IoT devices in multi-energy systems by Hesham A. Sakr, Mostafa M. Fouda, Ahmed F. Ashour, Ahmed Abdelhafeez, Magda I. El-Afifi, Mohamed Refaat Abdellah

    Published 2024-12-01
    “…This study aims to address these challenges by evaluating the effectiveness of various supervised machine learning (ML) algorithms in predicting DDoS attacks targeting EH systems through IoT devices. …”
    Get full text
    Article
  20. 15860

    iSubgraph: integrative genomics for subgroup discovery in hepatocellular carcinoma using graph mining and mixture models. by Bahadir Ozdemir, Wael Abd-Almageed, Stephanie Roessler, Xin Wei Wang

    Published 2013-01-01
    “…The robustness analysis of the mixture model showed that the class predictions are highly stable. Moreover, the Kaplan-Meier survival analysis revealed that the HCC subgroups identified by the algorithm have different survival characteristics. …”
    Get full text
    Article