يعرض 421 - 440 نتائج من 786 نتيجة بحث عن '(((( developing control algorithm ) OR ( elements data algorithm ))) OR ( data using algorithm ))', وقت الاستعلام: 0.21s تنقيح النتائج
  1. 421

    The use of semantic-based predicates implication to improve horizontal multimedia database fragmentation حسب Getahun, Fekade

    منشور في 2007
    "…We particularly discuss multimedia primary horizontal fragmentation and focus on semantic-based textual predicates implication required as a pre-process in current fragmentation algorithms in order to partition multimedia data efficiently. …"
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    conferenceObject
  2. 422

    Future Prediction of COVID-19 Vaccine Trends Using a Voting Classifier حسب Syed Ali Jafar Zaidi (19563178)

    منشور في 2021
    "…Multiple ML algorithms are used to improve decision-making at different aspects after forecasting. …"
  3. 423
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    Using artificial intelligence to improve body iron quantification: A scoping review حسب Abdulqadir J. Nashwan (11659453)

    منشور في 2023
    "…The search revealed a wide range of machine learning algorithms used by different studies. Notably, most studies used a single data type. …"
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    Label dependency modeling in Multi-Label Naïve Bayes through input space expansion حسب PKA Chitra (21749216)

    منشور في 2024
    "…To accommodate the heterogeneity of the expanded input space, we refine the likelihood parameters of iMLNB using a joint density function, which is adept at handling the amalgamation of data types. …"
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    Experimental Investigation and Comparative Evaluation of Standard Level Shifted Multi-Carrier Modulation Schemes With a Constraint GA Based SHE Techniques for a Seven-Level PUC Inv... حسب Atif Iqbal (5504636)

    منشور في 2019
    "…Topology offers a reduced switch count solution with simple control strategy compared to the existing seven-level inverters. …"
  10. 430

    A New Approach for Recognizing Saudi Arabian License Plates using Neural Networks حسب Deriche, Mohamed

    منشور في 2020
    "…Finally, a Multilayer Feedforward Neural Network (MFNN) with a backpropagation (BP) algorithm is used for character recognition. We discuss new features from the characters for training the NN. …"
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    article
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    Modelling surface currents in the Eastern Levantine Mediterranean using surface drifters and satellite altimetry حسب Issa, Leila

    منشور في 2016
    "…We present a new and fast method that blends altimetric and drifter positions data in order to predict the surface velocity in the Eastern Levantine Mediterranean. …"
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    article
  14. 434
  15. 435

    Prediction the performance of multistage moving bed biological process using artificial neural network (ANN) حسب Fares Almomani (12585685)

    منشور في 2020
    "…To cope with this difficult task and perform an effective and well-controlled BP operation, an artificial neural network (ANN) algorithm was developed to simulate, model, and control a three-stage (anaerobic/anoxic and MBBR) enhanced nutrient removal biological process (ENR-BP) challenging real wastewater. …"
  16. 436

    Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems حسب Ahmad K. Sleiti (14778229)

    منشور في 2022
    "…Furthermore, this paper demonstrates the advantages of the developed ADL algorithm approach and DSM prediction of the DT using vector autoregressive model for anomaly detection in utility gas turbines with data from an operational power plant.…"
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    Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting حسب Abdelkader Baggag (16864140)

    منشور في 2019
    "…The learned factors, with a graph-based temporal dependency, are then used in an autoregressive algorithm to predict the future state of the road network with a large horizon. …"
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    Sentiment Analysis of the Emirati Dialect text using Ensemble Stacking Deep Learning Models حسب AL SHAMSI, ARWA AHMED

    منشور في 2023
    "…For the basic machine learning algorithms, LR, NB, SVM, RF, DT, MLP, AdaBoost, GBoost, and an ensemble model of machine learning classifiers were used. …"
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