Search alternatives:
models » model (Expand Search)
Showing 21 - 40 results of 7,683 for search 'engineered issues models', query time: 0.18s Refine Results
  1. 21

    The Model of Formation of Professional Competence of Future Software Engineers by Viktor Sedov

    Published 2016-05-01
    “…The article presents a developed model of formation of professional competence of future software engineers in the system of master’s degree. …”
    Get full text
    Article
  2. 22

    Review on Creep Phenomenon and Its Model in Aircraft Engines by Lin Yuan, Wang Chenglong, Sun Yongchao, Sun Mingbo, Yuan Yu, Gao Zhan, Xiao Yiwen

    Published 2023-01-01
    “…Several academics have conducted extensive research on this issue. This research paper provides a comprehensive overview of the existing literature on creep phenomena in aircraft engines. …”
    Get full text
    Article
  3. 23
  4. 24
  5. 25

    Review and application of engineering design models for building fire smoke movement and control by Mingchun Luo, Yanfu Zeng, Ling-Chu Su, Xinyan Huang

    Published 2024-01-01
    “…This paper depicts the cases encountered during the design over the past decades and provides detailed processes of solving these issues. The approach of the design process demonstrates how fire engineers further develop the fire models and fill the gap between research and engineering practice. …”
    Get full text
    Article
  6. 26
  7. 27
  8. 28
  9. 29

    Natural Language Processing Techniques for Information Retrieval Enhancing Search Engines with Semantic Understanding by S Subi, B Shanthini, M SilpaRaj, K Shekar, G Keerthana, R Anitha

    Published 2025-01-01
    “…This paper investigates new Natural Language Processing (NLP) methods which seek to improve information retrieval systems via semantic knowledge and focuses on enhancing search engines. The proposed ideas focus on reducing the size of the model (one of the biggest problems with large models), training it on domain-specific knowledge (the right knowledge is important for the real application) and ways to efficiently deal with unstructured data (this is also a key issue against NLP frameworks). …”
    Get full text
    Article
  10. 30
  11. 31

    (R-ISSUES) Rural Interoperable System of Systems for Unified Environmental Stewardship by Raúl Pastor, Antonio Lecuona, Juan Pedro Cortés, David Caballero, Anabel Fraga

    Published 2024-09-01
    “…After that, the authors initialize an innovative R-ISSUES model to promote early interoperability between energy and environment systems engineering towards the shared mission of designing digital and rural jobs to preserve our biosphere. …”
    Get full text
    Article
  12. 32
  13. 33

    Selected Topics on Research Challenges in Information Science: Editorial Introduction to Issue 17 of CSIMQ by Benedicte Le Grand, Rebecca Deneckère

    Published 2018-12-01
    “…This thematic issue of the Complex Systems Informatics and Modeling Quarterly journal is dedicated to Information Science. …”
    Get full text
    Article
  14. 34

    Application of Collaborative Engineering to Manage the Work of BIM Construction Stakeholders (Design Stage) by Hana Rezgui, Hassan Ait Haddou, Guy Camilleri

    Published 2025-03-01
    “…The main contribution of this work is to clarify the roles of stakeholders and the rights and temporalities of access, consultation, and modification of the digital BIM model. To achieve this, a collaborative engineering method was applied to propose organizational models for the work of construction stakeholders who are using a collaborative engineering approach during the initial stage of a project (design phase), in order to define the roles of stakeholders and their access to the BIM model.…”
    Get full text
    Article
  15. 35
  16. 36
  17. 37

    Overcoming System Complexity using Models and Knowledge Structures. Editorial Introduction to Issue 36 of CSIMQ by Erika Nazaruka, Tarmo Robal

    Published 2023-10-01
    “…An engineering model must satisfy such characteristics as abstraction, understandability, accuracy, predictiveness, and inexpensiveness. …”
    Get full text
    Article
  18. 38
  19. 39
  20. 40