يعرض 1 - 20 نتائج من 49 نتيجة بحث عن '"Umer, Qasim"', وقت الاستعلام: 0.64s تنقيح النتائج
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    Academic Journal
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    Academic Journal
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    Academic Journal

    المساهمون: fi=Vaasan yliopisto|en=University of Vaasa, orcid:0000-0003-4628-4486, fi=Tekniikan ja innovaatiojohtamisen yksikkö|en=School of Technology and Innovations, Digital Economy

    المصدر: WOS:001093820200001 ; Scopus:85175437988

    وصف الملف: fi=kokoteksti|en=fulltext; 273-283; true

    Relation: IET Optoelectronics; 17; https://doi.org/10.1049/ote2.12108; https://osuva.uwasa.fi/handle/10024/16936; URN:NBN:fi-fe202402238462

  4. 4
    Academic Journal

    المساهمون: National Social Science Fund of China, Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government, National Natural Science Foundation of China

    المصدر: IEEE Access ; volume 11, page 95213-95224 ; ISSN 2169-3536

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    Academic Journal
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    Academic Journal
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    Academic Journal
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    Academic Journal
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    Academic Journal

    المساهمون: Korea Meteorological Administration Research and Development Program

    المصدر: IEEE Access ; volume 9, page 133961-133973 ; ISSN 2169-3536

  10. 10
    Academic Journal

    المساهمون: Anhui Key Research and Development Plan, Key Scientific Research Projects of Chaohu University

    المصدر: IEEE Access ; volume 9, page 122412-122424 ; ISSN 2169-3536

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    Academic Journal
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    Academic Journal
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    Academic Journal
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    Academic Journal
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    Academic Journal
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    Academic Journal

    المؤلفون: Umer, Qasim, Liu, Hui, Sultan, Yasir

    المساهمون: National Key Research and Development Program of China, National Natural Science Foundation of China

    المصدر: IEEE Access ; volume 6, page 35743-35752 ; ISSN 2169-3536

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    Academic Journal
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    Academic Journal
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    Academic Journal

    المصدر: Sustainability (2071-1050); Oct2022, Vol. 14 Issue 19, p12400-12400, 14p

  20. 20
    Conference

    Relation: Nyamawe, A. S., Liu, H., Niu, N., Umer, Q. & Niu, Z. (2019). Automated recommendation of software refactorings based on feature requests. In 2019 IEEE 27th International Requirements Engineering Conference (RE) (pp. 187-198). IEEE.; http://hdl.handle.net/20.500.12661/2432