يعرض 1 - 7 نتائج من 7 نتيجة بحث عن '"Dael, Fares A."', وقت الاستعلام: 0.76s تنقيح النتائج
  1. 1
    مؤتمر
    Performance Evaluation of Routing Protocols in Vehicular Ad-Hoc Networks for Highway Scenarios

    المؤلفون: Dael, Fares A., Amran, Mohammed A., Shayea, Ibraheem, Rzayeva, Leila

    المصدر: 2024 IEEE International Conference on Big Data & Machine Learning (ICBDML) Big Data & Machine Learning (ICBDML), 2024 IEEE International Conference on. :257-264 Feb, 2024

    Relation: 2024 IEEE International Conference on Big Data & Machine Learning (ICBDML)

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  2. 2
    مؤتمر
    AirWave: Enhancing UAV Connectivity in Cellular Networks through an Integrated Simulation Framework

    المؤلفون: Zor, Emirhan, Taskiran, Yusuf, Dael, Fares A., Shayea, Ibraheem, Rzayeva, Leila, Syzdykova, Zuleikha

    المصدر: 2024 IEEE International Conference on Big Data & Machine Learning (ICBDML) Big Data & Machine Learning (ICBDML), 2024 IEEE International Conference on. :295-302 Feb, 2024

    Relation: 2024 IEEE International Conference on Big Data & Machine Learning (ICBDML)

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  3. 3
    مؤتمر
    Performance Evaluation of Time Series Forecasting Methods in The Stock Market: A Comparative Study

    المؤلفون: Abdulhafidh Dael, Fares, Yavuz, Ugur, Almohammedi, Akram A.

    المصدر: 2022 International Conference on Decision Aid Sciences and Applications (DASA) Decision Aid Sciences and Applications (DASA), 2022 International Conference on. :1510-1514 Mar, 2022

    Relation: 2022 International Conference on Decision Aid Sciences and Applications (DASA)

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  4. 4
    مؤتمر
    Comparative study of K-NN algorithm for transportation mode detection using mobile phone sensor data.

    المؤلفون: Erkil, Hasan, Aktı, İlknur, Dael, Fares A., Shayea, Ibraheem, El-Saleh, Ayman A.

    المصدر: AIP Conference Proceedings; 2024, Vol. 3153 Issue 1, p1-10, 10p

    مصطلحات موضوعية: INTELLIGENT transportation systems, ALGORITHMS, K-nearest neighbor classification, DETECTORS, CELL phones, COMPARATIVE studies

    مصطلحات جغرافية: MANHATTAN (New York, N.Y.)

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  5. 5
    دورية أكاديمية
    Stock Market Prediction Using Generative Adversarial Networks (GANs): Hybrid Intelligent Model.

    المؤلفون: Dael, Fares Abdulhafidh, Yavuz, Ömer Çağrı, Yavuz, Uğur

    المصدر: Computer Systems Science & Engineering; 2023, Vol. 47 Issue 1, p19-35, 17p

    مصطلحات موضوعية: STOCK exchanges, GENERATIVE adversarial networks, ECONOMIC development, STOCK prices, PREDICTION models

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  6. 6
    دورية أكاديمية
    Quantifying the Attitudes of Turkish Young Generation Toward Online Advertising.

    Alternate Title: Mengukur Sikap Di Kalangan Generasi Muda Turki Terhadap Iklan Dalam Talian. (Malay)

    المؤلفون: Özen, Üstün, Dael, Fares Abdulhafidh

    المصدر: Jurnal Pengurusan; 2021, Vol. 62, p1-16, 16p

    مصطلحات موضوعية: INTERNET advertising, ATTITUDE (Psychology), INTERNET users, DATA analysis, ADVERTISING, ADVERTISING laws

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  7. 7
    دورية أكاديمية
    Performance evaluation of different classification techniques using different datasets.

    المؤلفون: Özdemir, Abdulkadir, Yavuz, Uğur, Dael, Fares Abdulhafidh

    المصدر: International Journal of Electrical & Computer Engineering (2088-8708); Oct2019 (Part I), Vol. 9 Issue 5, p3584-3590, 7p

    مصطلحات موضوعية: ELECTRONIC data processing, PERFORMANCE evaluation, CLASSIFICATION, DATA mining, BUSINESS intelligence

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