يعرض 1 - 10 نتائج من 68 نتيجة بحث عن '"Machine learning software"', وقت الاستعلام: 0.90s تنقيح النتائج
  1. 1
    مؤتمر
    Quality Assurance Challenges For Machine Learning Software Applications During Software Development Life Cycle Phases

    المؤلفون: Al Alamin, Md Abdullah, Uddin, Gias

    المصدر: 2021 IEEE International Conference on Autonomous Systems (ICAS) Autonomous Systems (ICAS), 2021 IEEE International Conference on. :1-5 Aug, 2021

    Relation: 2021 IEEE International Conference on Autonomous Systems (ICAS)

    أضف إلى المفضلة
  2. 2
    دورية أكاديمية
    A Survey on Machine Learning Software-Defined Wireless Sensor Networks (ML-SDWSNs): Current Status and Major Challenges

    المؤلفون: Jurado-Lasso, F.F., Marchegiani, L., Jurado, J.F., Abu-Mahfouz, A.M., Fafoutis, X.

    المصدر: IEEE Access Access, IEEE. 10:23560-23592 2022

    Full Text Finder
    أضف إلى المفضلة
  3. 3
    A Drift Handling Approach for Self-Adaptive ML Software in Scalable Industrial Processes

    المؤلفون: Bayram, Firas, Ahmed, Bestoun S., 1982, Hallin, ERIK, Engman, Anton

    المصدر: Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering. :1-5

    مصطلحات موضوعية: Application programs, Automation, Electroslag remelting, Adaptive approach, Automated industrial process, Changing environment, Concept drifts, Industrial processs, Machine learning software, Machine learning software adaptability, Software adaptability, Software-systems, Remelting, Computer Science, Datavetenskap

    وصف الملف: electronic

    URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-93618
    https://doi.org/10.1145/3551349.3559495
    https://kau.diva-portal.org/smash/get/diva2:1736475/FULLTEXT01.pdf

    أضف إلى المفضلة
  4. 4
    مؤتمر
    All Versus One: An Empirical Comparison on Retrained and Incremental Machine Learning for Modeling Performance of Adaptable Software

    المؤلفون: Chen, Tao

    المصدر: 2019 IEEE/ACM 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) Software Engineering for Adaptive and Self-Managing Systems (SEAMS), 2019 IEEE/ACM 14th International Symposium on. :157-168 May, 2019

    Relation: 2019 IEEE/ACM 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)

    Full Text Finder
    أضف إلى المفضلة
  5. 5
    مؤتمر
    An Improved Approach to Software Defect Prediction using a Hybrid Machine Learning Model

    المؤلفون: Miholca, Diana-Lucia

    المصدر: 2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) SYNASC Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2018 20th International Symposium on. :443-448 Sep, 2018

    Relation: 2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)

    أضف إلى المفضلة
  6. 6
    دورية أكاديمية
    A Survey on Machine Learning Software-Defined Wireless Sensor Networks (ML-SDWSNs): Current Status and Major Challenges

    المؤلفون: F. Fernando Jurado-Lasso, Letizia Marchegiani, J. F. Jurado, Adnan M. Abu-Mahfouz, Xenofon Fafoutis

    المصدر: IEEE Access, Vol 10, Pp 23560-23592 (2022)

    مصطلحات موضوعية: Wireless sensor networks (WSNs), Internet of Things (IoT), machine learning (ML), software-defined wireless sensor networks (SDWSNs), Machine Learning Software-Defined Wireless Sensor Networks (ML-SDWSNs), Electrical engineering. Electronics. Nuclear engineering, TK1-9971

    وصف الملف: electronic resource

    Relation: https://ieeexplore.ieee.org/document/9718334/; https://doaj.org/toc/2169-3536

    URL الوصول: https://doaj.org/article/a3a9bfde4033432eb5c76da03f9b2fe5

    Full Text Finder
    أضف إلى المفضلة
  7. 7
    كتاب إلكتروني
    Evaluating and Using Medical Evidence in Integrative Mental Health Care: Literature Review, Evidence Tables, Algorithms, and the Promise of Artificial Intelligence

    المؤلفون: Lake, James H.Aff2

    المساهمون: Lake, James H.Aff1

    المصدر: An Integrative Paradigm for Mental Health Care : Ideas and Methods Shaping the Future. :99-125

    أضف إلى المفضلة
  8. 8
    دورية أكاديمية

    لا يتم عرض هذه النتيجة على الضيوف.

    View record in Scopus
    أضف إلى المفضلة
  9. 9
    Explicit or Implicit? On Feature Engineering for ML-based Variability-intensive Systems

    المؤلفون: Paul Temple, Gilles Perrouin

    المساهمون: Université de Rennes (UR)

    المصدر: VaMoS '23: Proceedings of the 17th International Working Conference on Variability Modelling of Software-Intensive Systems
    17th International Working Conference on Variability Modelling of Software-Intensive Systems (VaMoS'23)
    17th International Working Conference on Variability Modelling of Software-Intensive Systems (VaMoS'23), Jan 2023, Odense, Denmark. ⟨10.1145/3571788.3571804⟩

    مصطلحات موضوعية: software variability, machine learning, feature machine learning software variability, [INFO]Computer Science [cs], feature, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3050072b01e38a81183d44a92c658e8d
    https://doi.org/10.1145/3571788.3571804

    أضف إلى المفضلة
  10. 10
    A Drift Handling Approach for Self-Adaptive ML Software in Scalable Industrial Processes

    المؤلفون: Firas Bayram, Bestoun S. Ahmed, Erik Hallin, Anton Engman

    مصطلحات موضوعية: Application programs, Adaptive approach, Machine learning software, FOS: Computer and information sciences, Concept drifts, Programvaruteknik, Software adaptability, Automated industrial process, Software Engineering, Electroslag remelting, Machine learning software adaptability, Software-systems, Software Engineering (cs.SE), Automation, Computer Science - Software Engineering, Changing environment, Industrial processs, Remelting

    وصف الملف: application/pdf

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dea8da54757931c19a2e18c1961f5821
    http://arxiv.org/abs/2208.07037

    أضف إلى المفضلة
أدوات البحث: أحصل على تغذية RSS – أرسل هذا البحث بالبريد الإلكتروني – حفظ البحث – جدول التنبيهات: لا شيء