يعرض 181 - 200 نتائج من 561 نتيجة بحث عن '(( elements method algorithm ) OR ((( data show algorithm ) OR ( data modeling algorithm ))))*', وقت الاستعلام: 0.14s تنقيح النتائج
  1. 181
  2. 182

    Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm حسب Nasser, Youssef

    منشور في 2024
    "…To achieve this goal, supervised machine learning was employed to train models on graphs with labeled data points, where each graph contains a set of points and a label indicating the centroid determined by K-means. …"
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    masterThesis
  3. 183

    An efficient approach for textual data classification using deep learning حسب Abdullah Alqahtani (7128143)

    منشور في 2022
    "…<p dir="ltr">Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories from a set of preset training data. …"
  4. 184

    Data mining approach to predict student's selection of program majors حسب SIDDARTHA, SHARMILA

    منشور في 2019
    "…The approach includes a methodology to manage data mining projects, sampling techniques to handle imbalanced data and multiclass data, a set of classification algorithms to predict and measures to evaluate performance of models. …"
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  5. 185

    Use of Data Mining Techniques to Detect Fraud in Procurement Sector حسب AL HAMMADI, SUMAYYA ABDULLA

    منشور في 2022
    "…The method used in this research is a classification of models and algorithms used in data mining. All techniques also will be studied; they include clustering, tracking patterns, classifications and outlier detection. …"
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  6. 186

    Evolutionary algorithms for state justification in sequential automatic test pattern generation حسب El-Maleh, Aiman H.

    منشور في 2005
    "…A common search operation in sequential Automatic Test Pattern Generation is to justify a desired state assignment on the sequential elements. State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …"
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    article
  7. 187

    Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn... حسب Mohamed, AlShuweihi

    منشور في 2020
    "…LR with the reduced feature set using the intersection between CS and RFE proved to be the best model among the tested algorithms. This model can be used in a clinical setting as a decision support system or for public health awareness as an informal risk prediction system. …"
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  8. 188

    Advancing Data Center Networks: A Focus on Energy and Cost Efficiency حسب Zina Chkirbene (16869987)

    منشور في 2023
    "…These topologies must incorporate fault-tolerant and efficient routing algorithms. Consequently, the data center network topology must dynamically adapt to ever-changing application requirements. …"
  9. 189
  10. 190

    An image processing and genetic algorithm-based approach for the detection of melanoma in patients حسب Tokajian, Sima

    منشور في 2018
    "…The second phase classifies lesions using a Genetic Algorithm. Our technique shows a significant improvement over other well-known algorithms and proves to be more stable on both training and testing data.…"
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    article
  11. 191
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  14. 194

    The unified effect of data encoding, ansatz expressibility and entanglement on the trainability of HQNNs حسب Muhammad Kashif (3923483)

    منشور في 2023
    "…Our framework aims to empirically analyze the joint impact of these factors on the training landscape of HQNNs. Our results show that the occurrence of the BP problem in HQNNs is contingent upon the expressibility of the underlying ansatz and the type of the adopted data encoding technique. …"
  15. 195

    Assessment of static pile design methods and non-linear analysis of pile driving حسب Abou-Jaoude, Grace G.

    منشور في 2006
    "…The pile/soil interaction system is described by a mass/spring/dashpot system where the properties of each component are derived from rigorous analytical solutions or finite element analysis. The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …"
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    masterThesis
  16. 196

    Customs Trade Facilitation and Compliance for Ecommerce using Blockchain and Data Mining حسب Alqaryouti, Omar

    منشور في 2021
    "…Additionally, the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology is employed for modelling the two proposed clustering algorithms to identify transactional risks. …"
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  17. 197

    Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval حسب Mohammed Tahar Habib Kaib (21633176)

    منشور في 2024
    "…Generally, RKPCA reduces the number of samples in the training data set and then builds the KPCA model based on this data set. …"
  18. 198

    Trajectory Planning and Resource Allocation of Multiple UAVs for Data Delivery in Vehicular Networks حسب Samir, Moataz

    منشور في 2019
    "…Then, we develop an efficient algorithm to sequentially solve this problem. Our numerical results demonstrate the effectiveness of our proposed design and show that during the mission time, the UAVs adapt their velocities in order to fulfill the requirement of each vehicle.…"
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    article
  19. 199

    LaScaDa: A Novel Scalable Topology for Data Center Network حسب Zina Chkirbene (16869987)

    منشور في 2020
    "…<p dir="ltr">The growth of cloud-based services is mainly supported by the core networking infrastructures of large-scale data centers, while the scalability of these services is influenced by the performance and dependability characteristics of data centers. …"
  20. 200

    RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems. حسب Sebastian Kruse (18595195)

    منشور في 2020
    "…Our main contributions are: (i) a mechanism based on graph transformations to explore alternative execution strategies; (ii) a novel graph-based approach to determine efficient data movement plans among subtasks and platforms; and (iii) an efficient plan enumeration algorithm, based on a novel enumeration algebra. …"