يعرض 1 - 20 نتائج من 169 نتيجة بحث عن '(((( complex data algorithm ) OR ( elements rd algorithm ))) OR ( level scheduling algorithm ))', وقت الاستعلام: 0.13s تنقيح النتائج
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    Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain حسب Al Sadawi, Alia

    منشور في 2021
    "…An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …"
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    article
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    Activity-level space scheduling حسب Zouein, Pierrette P.

    منشور في 1992
    "…Activity-level space scheduling involves allocating site space over time to static and dynamic construction resources such as robots. …"
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    conferenceObject
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    On the steiner walk problem. (c2009) حسب Maarouf, Amina

    منشور في 2009
    الموضوعات: "…Euclidean algorithm -- Data processing…"
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    masterThesis
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    Improvement Algorithm for Limited Space Scheduling حسب Zouein, Pierrette

    منشور في 2001
    "…The model characterizes resource space requirements over time and establishes a time-space relationship for each activity in the schedule, based on alternative resource levels. An example illustrates the presented algorithm that generates a feasible space schedule.…"
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    article
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    Scheduling and allocation in high-level synthesis using stochastic techniques حسب Sait, Sadiq M.

    منشور في 2020
    "…In this work, a unique approach to scheduling and allocation problem using the genetic algorithm (GA) is described. …"
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    article
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    Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms حسب Harmanani, H. M.

    منشور في 2007
    "…This paper presents an efficient method for concurrent built-in self-test synthesis and test scheduling in high-level synthesis. The method maximizes concurrent testing of modules while performing the allocation of functional units, test registers, and interconnects. …"
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    article
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    A Graph Heuristic Approach for the Data Path Allocation Problem حسب Makhoul, Racha

    منشور في 2022
    "…The algorithm starts with a schedule as input and partitions it into available hardware resources using a modifi ed version of the Fiduccia-Mattheyses algorithm to t the datapath allocation problem. …"
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    masterThesis
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    Data reductions and combinatorial bounds for improved approximation algorithms حسب Abu-Khzam, Faisal N.

    منشور في 2016
    "…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of data reduction rules and combinatorial insights. …"
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    article
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    A neural networks algorithm for data path synthesis حسب Harmanani, Haidar M.

    منشور في 2003
    "…This paper presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …"
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    article
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    Variable Selection in Data Analysis: A Synthetic Data Toolkit حسب Mitra, Rohan

    منشور في 2024
    "…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …"
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    article
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    An enhanced k-means clustering algorithm for pattern discovery in healthcare data حسب Haraty, Ramzi A.

    منشور في 2015
    "…The huge amounts of data generated by media sensors in health monitoring systems, by medical diagnosis that produce media (audio, video, image, and text) content, and from health service providers are too complex and voluminous to be processed and analyzed by traditional methods. …"
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    MoveSchedule حسب Zouein, Pierette

    منشور في 1995
    "…MoveSchedule establishes a time-space relationship for each activity in the schedule based on alternative resource levels so that tradeoffs between activity duration and space need on site are possible. …"
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    masterThesis
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    A Survey of Data Clustering Techniques حسب Sobeh, Salma

    منشور في 2023
    "…This survey examines seven widely recognized clustering techniques, namely k-means, G-means, DBSCAN, Agglomerative hierarchical clustering, Two-stage density (DBSCAN and k-means) algorithm, Two-levels (DBSCAN and hierarchical) clustering algorithm, and Two-stage MeanShift and K-means clustering algorithm and compares them over a real dataset - The Blockchain dataset, including prominent cryptocurrencies like Binance, Bitcoin, Doge, and Ethereum, under several metrics such as silhouette coefficient, Calinski-Harabasz, Davies-Bouldin Index, time complexity, and entropy.…"
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