يعرض 321 - 340 نتائج من 440 نتيجة بحث عن '(( element method algorithm ) OR ((( data processing algorithm ) OR ( based mean algorithm ))))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 321

    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying حسب Tekli, Joe

    منشور في 2023
    "…Many efforts have been deployed by the IR community to extend freetext query processing toward semi-structured XML search. Most methods rely on the concept of Lowest Comment Ancestor (LCA) between two or multiple structural nodes to identify the most specific XML elements containing query keywords posted by the user. …"
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    article
  2. 322

    Evacuation of a highly congested urban city حسب El Khoury, John

    منشور في 2017
    "…As the evacuation route planning is computationally challenging, an evacuation scheduling algorithm was adopted to expedite the solution process. …"
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    conferenceObject
  3. 323

    Communications in electronic textile systems حسب Nakad, Z.

    منشور في 2017
    "…Abstract- Electronic textiles (e-textiles) are emerging as a novel method for constructing electronic systems in wearable and large area applications. …"
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    conferenceObject
  4. 324

    Accurate multiple network alignment through context-sensitive random walk حسب Hyundoo Jeong (3840013)

    منشور في 2015
    "…In this work, we propose a novel multiple network alignment algorithm based on a context-sensitive random walk model. …"
  5. 325

    High-order parametrization of the hypergeometric-Meijer approximants حسب Abouzeid M. Shalaby (16329062)

    منشور في 2023
    "…<p>In this work, we introduce an extension to the hypergeometric algorithm we developed before for the resummation of divergent series.The extension overcome the time-consuming problem we face in the parametrization process of the hypergeometric approximants. …"
  6. 326

    Indexing Arabic texts using association rule data mining حسب Haraty, Ramzi A.

    منشور في 2019
    "…Research limitations/implications The stemming algorithm can be further enhanced. In the Arabic language, we have many grammatical rules. …"
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    article
  7. 327

    Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT) حسب Kouatli, Issam

    منشور في 2015
    "…Decision making and/or Decision Support Systems (DSS) using intelligent techniques like Genetic Algorithm and fuzzy logic is becoming popular in many new applications. …"
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    conferenceObject
  8. 328

    Deep Reinforcement Learning for Resource Constrained HLS Scheduling حسب Makhoul, Rim

    منشور في 2022
    "…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …"
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    masterThesis
  9. 329

    A Novel Encryption Method for Dorsal Hand Vein Images on a Microcomputer حسب M. Z. Yildiz (16855476)

    منشور في 2019
    "…Second, the pre- and post-processed images were encrypted with a new encryption algorithm in the microcomputer environment. …"
  10. 330

    The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review حسب Uzair Shah (15740699)

    منشور في 2022
    "…The study selection process was carried out in three phases: study identification, study selection, and data extraction. …"
  11. 331

    Supervised term-category feature weighting for improved text classification حسب Attieh, Joseph

    منشور في 2022
    "…It requires appropriate features to describe the contents and meaning of text documents, and map them with their target categories. …"
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    article
  12. 332

    Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression حسب Alaa Abd-Alrazaq (17430900)

    منشور في 2023
    "…Of the 1314 citations retrieved from the databases, 54 studies were included in this review. The pooled mean of the highest accuracy, sensitivity, specificity, and root mean square error (RMSE) was 0.89, 0.87, 0.93, and 4.55, respectively. …"
  13. 333

    Efficient Scalable VLSI Architecture for Montgomery Inversion in GF(p) حسب Gutub, Adnan

    منشور في 2004
    "…We suggest a new correction phase for a previously proposed almost Montgomery inverse algorithm to calculate the inversion in hardware. We also propose an efficient hardware algorithm to compute the inverse by multi-bit shifting method. …"
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    article
  14. 334
  15. 335

    Combinatorial method for bandwidth selection in wind speed kernel density estimation حسب El Dakkak, Omar

    منشور في 2019
    "…In this study, a non-parametric combinatorial method is implemented for obtaining an accurate non-parametric kernel density estimation (KDE)-based statistical model of wind speed, in which the selection of the bandwidth parameter is optimised concerning mean integrated absolute error (L 1 error ) between the true and hypothesised densities. …"
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  16. 336

    Topology and parameter estimation in power systems through inverter-based broadband stimulations حسب Margossian, Harag

    منشور في 2015
    "…Broadband stimulation signals are injected from distributed generators and their effects are measured at various locations in the grid. To process and evaluate this data, a novel aggregation method based on weighed least squares will be proposed in this study. …"
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  17. 337
  18. 338

    Benchmark on a large cohort for sleep-wake classification with machine learning techniques حسب Joao Palotti (8479842)

    منشور في 2019
    "…However, the largest experiments conducted to date, have had only hundreds of participants. In this work, we processed the data of the recently published Multi-Ethnic Study of Atherosclerosis (MESA) Sleep study to have both PSG and actigraphy data synchronized. …"
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  20. 340

    A comparative analysis to forecast carbon dioxide emissions حسب Md. Omer Faruque (17545671)

    منشور في 2022
    "…This leads to the second step, which involves formulating the multivariate time series CO<sub>2</sub> emissions forecasting challenges considering its influential factors. Based on multivariate time series prediction, four deep learning algorithms are analyzed in this work, those are convolution neural network (CNN), CNN long short-term memory (CNN–LSTM), long short-term memory (LSTM), and dense neural network (DNN). …"