يعرض 61 - 80 نتائج من 388 نتيجة بحث عن '(( data processing algorithm ) OR ((( recent study algorithm ) OR ( element data algorithm ))))', وقت الاستعلام: 0.12s تنقيح النتائج
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    A Review of the Genetic Algorithm and JAYA Algorithm Applications حسب Abu Zitar, Raed

    منشور في 2022
    "…This study throws the light on two metaheuristic algorithms and enable researchers to leverage the potential of adapting them in whatever applications they may have either in engineering, computer science, or business. …"
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    Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018) حسب Tay, Bilal M.

    منشور في 2018
    "…Companies, nowadays, rely on systems and applications to automate their business processes and data management. In this context, the notion of integrating machine learning techniques in banking business processes has emerged, where trainable computational algorithms can be improved by learning. …"
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    masterThesis
  8. 68

    Topics in graph algorithms حسب Abu-Khzam, Faisal Nabih

    منشور في 2003
    "…This is achieved by implementing some algorithms for the vertex cover problem, and conducting experiments on real data sets. …"
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    masterThesis
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    Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark حسب Ameema Zainab (16864263)

    منشور في 2021
    "…The paper proposes a concurrent job scheduling algorithm in a multi-energy data source environment using Apache Spark. …"
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    Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE حسب Mathew, Elezabeth

    منشور في 2020
    "…Finally, an interview with a subject matter expert is done to evaluate the result and confirm the importance of the study. A survey is also conducted with people involved in the procurement process as part of triangulation. …"
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    Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects حسب Mohamed Massaoudi (16888710)

    منشور في 2021
    "…This ongoing transition undergoes rapid changes, requiring a plethora of advanced methodologies to process the big data generated by various units. In this context, SG stands tied very closely to Deep Learning (DL) as an emerging technology for creating a more decentralized and intelligent energy paradigm while integrating high intelligence in supervisory and operational decision-making. …"
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