Search alternatives:
applications » application (Expand Search)
Showing 41 - 60 results of 759 for search 'Mathematical and Computational Applications', query time: 0.12s Refine Results
  1. 41
  2. 42
  3. 43

    A Review on Mechanical Proving and Formalization of Mathematical Theorems by Si Chen, Wensheng Yu, Guowei Dou, Qimeng Zhang

    Published 2025-01-01
    “…The past few centuries have witnessed multiple periods of machine proof of mathematical theorems as computer technology has continued to evolve. …”
    Get full text
    Article
  4. 44
  5. 45

    Mathematical Modeling and Analysis of Transmission Dynamics and Control of Schistosomiasis by Ebrima Kanyi, Ayodeji Sunday Afolabi, Nelson Owuor Onyango

    Published 2021-01-01
    “…This paper presents a mathematical model that describes the transmission dynamics of schistosomiasis for humans, snails, and the free living miracidia and cercariae. …”
    Get full text
    Article
  6. 46
  7. 47

    Modeling and computing experiment in the problem of predicting the per capita monetary income of the population based on the methods of correlation and regression analysis by Angelina Vladimirovna Vaskina, Victoria Igorevna Naats

    Published 2022-09-01
    “…Created algorithmic software based on the regression models and methodology for conducting the corresponding computational experiment can be used in other applications of economic-mathematical modeling.…”
    Get full text
    Article
  8. 48

    Mathematical approaches for track analysis and process optimization in additive manufacturing by Mahdi Alishavandi, Rahmi Ünal, Metin Uymaz Salamci

    Published 2025-07-01
    “…Here we show a unified mathematical framework that links key variables to track geometry: we derive analytical expressions for solid and liquid contact angles, introduce dimensionless wetting shape factors to compute segment area and volume, and develop quadratic models relating powder layer thickness to track width and height. …”
    Get full text
    Article
  9. 49
  10. 50

    Threshold Analysis of Request Degradation in the Computer Network by Vasilii P. Kirnos

    Published 2019-06-01
    “…In this paper, the existing approaches to the assessment of computer networks performance are considered. The standard structure of a network of the application layer of the OSI model using the example of SBIS3 application (product of Tensor Company) is treated.Further, two approaches allowing to analyze degradations in a network are considered - on the basis of aggregated data and the operational analysis.The degradation study of more than 60 000 request types between two versions of application which works on the basis of the computer network is the cornerstone of the first decision. …”
    Get full text
    Article
  11. 51
  12. 52
  13. 53
  14. 54

    Digital Twins for Personalized Medicine Require Epidemiological Data and Mathematical Modeling: Viewpoint by Alexandre Vallée

    Published 2025-08-01
    “…Through artificial intelligence (AI) and mathematical modeling, DTs facilitate predictive analytics for disease risk assessment, early diagnosis, and treatment response forecasting. …”
    Get full text
    Article
  15. 55

    Wearable Sensors and Computational Intelligence in Alpine Skiing Analysis by Ales Prochazka, Hana Charvatova

    Published 2025-01-01
    “…This study highlights the unifying role of digital signal processing, which uses similar mathematical tools across various applications.…”
    Get full text
    Article
  16. 56
  17. 57

    A Lightweight CNN for Multi-Class Classification of Handwritten Digits and Mathematical Symbols by Nicholas Abisha, Tita Putri Redytadevi, Sri Nurdiati, Elis Khatizah, Mohamad Khoirun Najib

    Published 2025-08-01
    “…Trained and evaluated on a publicly available dataset of over 10,000 grayscale 28×28-pixel images across 19 symbol classes, the model achieves a test accuracy of 91.8% while maintaining low computational demands. This work contributes to the development of practical handwritten mathematical expression recognition systems and demonstrates the feasibility of using Julia for developing lightweight deep learning applications.   …”
    Get full text
    Article
  18. 58
  19. 59
  20. 60