يعرض 141 - 160 نتائج من 392 نتيجة بحث عن '(( data selection algorithm ) OR ( data ((collection algorithm) OR (optimization algorithm)) ))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 141
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    On sensor selection in mobile devices based on energy, application accuracy, and context metrics حسب Taleb, Sireen

    منشور في 2013
    "…Continuously collecting sensor data on mobile devices helps in capturing important contextual information related to the user location, activity, and surrounding environment. …"
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    conferenceObject
  3. 143

    An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting حسب Mohamed Massaoudi (16888710)

    منشور في 2021
    "…First, the NARXNN model acquires the data to generate a residual error vector. Then, the stacked LSTM model, optimized by Tabu search algorithm, uses the residual error correction associated with the original data to produce a point and interval PVPF. …"
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    Capturing outline of fonts using genetic algorithm and splines حسب Sarfraz, M.

    منشور في 2001
    "…In order to obtain a good spline model from large measurement data, we frequently have to deal with knots as variables, which becomes a continuous, non-linear and multivariate optimization problem with many local optima. …"
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    article
  6. 146

    Graph contraction for physical optimization methods حسب Mansour, Nashat

    منشور في 1993
    "…We then present experimental results on using contracted graphs as inputs to two physical optimization methods; namely, Genetic Algorithm and Simulated Annealing. …"
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    conferenceObject
  7. 147

    Online Control and Optimization of Directional Drilling حسب unknown

    منشور في 2020
    "…Gravitational Search Algorithm (GSA) is developed to search for optimal settings of the proposed controller. …"
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    masterThesis
  8. 148

    ML-Based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks حسب Muhammad Asif Khan (7367468)

    منشور في 2022
    "…The proposed scheme for handover prediction outperforms traditional methods i.e. received signal strength method and traveling distance method by reducing the number of unnecessary handovers by 60% and 50% respectively. Similarly, in AP selection, the proposed scheme outperforms the strongest signal first and least loaded first algorithms by achieving higher throughput gains up to 9.2% and 8% respectively.…"
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    A method for data path synthesis using neural networks حسب Harmanani, H.

    منشور في 2017
    "…Presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …"
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    conferenceObject
  12. 152
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    Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition حسب Dabeeruddin Syed (16864260)

    منشور في 2021
    "…Whilst different models are proposed for STLF, they are based on small historical datasets and are not scalable to process large amounts of big data as energy consumption data grow exponentially in large electric distribution networks. …"
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    A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models حسب Azar, Danielle

    منشور في 2010
    "…In this work, we present a genetic algorithm to optimize predictive models used to estimate software quality characteristics. …"
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    article
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