يعرض 81 - 100 نتائج من 299 نتيجة بحث عن '(((( elements method algorithm ) OR ( present data algorithm ))) OR ( query tracking algorithm ))', وقت الاستعلام: 0.18s تنقيح النتائج
  1. 81

    Test Vector Decomposition Based Static Compaction Algorithms for Combinational Circuits حسب El-Maleh, Aiman H.

    منشور في 2003
    "…In addition, two new TVD based static compaction algorithms are presented. Experimental results for benchmark circuits demonstrate the effectiveness of the two new static compaction algorithms.…"
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    article
  2. 82
  3. 83

    Convergence and steady-state analysis of the normalized least mean fourth algorithm حسب Zerguine, Azzedine

    منشور في 2007
    "…The normalized least mean-fourth (NLMF) algorithm is presented in this work and shown to have potentially faster convergence. …"
    article
  4. 84

    Convergence and steady-state analysis of the normalized least mean fourth algorithm حسب Zerguine, Azzedine

    منشور في 2007
    "…The normalized least mean-fourth (NLMF) algorithm is presented in this work and shown to have potentially faster convergence. …"
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    article
  5. 85
  6. 86
  7. 87

    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
  8. 88

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

    منشور في 2023
    "…One of the prominent challenges lies in the presence of barren plateaus (BP) in QML algorithms, particularly in quantum neural networks (QNNs). …"
  9. 89

    Using machine learning algorithm for detection of cyber-attacks in cyber physical systems حسب Almajed, Rasha

    منشور في 2022
    "…We present the new framework for the detection of cyberattacks, which makes use of AI and ML. …"
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  10. 90

    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. …"
  11. 91

    A New Hamiltonian Semi-Analytical Approach to Vibration Analysis of Piezoelectric Multi-Layered Plates حسب Andrianarison, O.

    منشور في 2024
    "…The whole piezoelectric multilayered plate’s dynamic stiffness is then built, from which its circular frequencies are computed with the help of the Wittrick-Williams algorithm. A detailed discussion is provided on the implementation aspects, followed by some numerical examples to assess the robustness, accuracy and effectiveness of the proposed method. …"
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    article
  12. 92

    Artificial intelligence-based methods for fusion of electronic health records and imaging data حسب Farida Mohsen (16994682)

    منشور في 2022
    "…In our analysis, a typical workflow was observed: feeding raw data, fusing different data modalities by applying conventional machine learning (ML) or deep learning (DL) algorithms, and finally, evaluating the multimodal fusion through clinical outcome predictions. …"
  13. 93

    A data envelopment analysis model for opinion leaders’ identification in social networks حسب Hamed Baziyad (19273738)

    منشور في 2024
    "…Consequently, a new application of the Data Envelopment Analysis (DEA) method is presented here for OLs identification in social media. …"
  14. 94

    BioNetApp: An interactive visual data analysis platform for molecular expressions حسب Ali M. Roumani (18615124)

    منشور في 2019
    "…BioNetApp also provides data clustering based on molecular concentrations using Self Organizing Maps (SOM), K-Means, K-Medoids, and Farthest First algorithms.…"
  15. 95

    A flexible genetic algorithm-fuzzy regression approach for forecasting: The case of bitumen consumption حسب Azadeh, Ali

    منشور في 2019
    "…Findings Production, import, export, road construction and price are considered as the input data used in the present study. It was concluded that, among all the forecasting methods used in this study, GA was the best method for estimating. …"
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    article
  16. 96

    Practical single node failure recovery using fractional repetition codes in data centers حسب Itani, May

    منشور في 2016
    "…Hence, a practical solution for node failures is presented by using a self-designed genetic algorithm that searches within the feasible solution space. …"
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    conferenceObject
  17. 97

    Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks حسب Yaacoub, Elias

    منشور في 2013
    "…A multi-objective problem for energy and distortion minimization is formulated and an energy-efficient, quality of service (QoS) aware suboptimal approach is presented for collaborative video transmission. In the proposed approach, mobiles are grouped into collaborative clusters using a low-complexity clustering algorithm. …"
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    article
  18. 98

    SemIndex+: A semantic indexing scheme for structured, unstructured, and partly structured data حسب Tekli, Joe

    منشور في 2018
    "…This paper describes SemIndex+, a semantic-aware indexing and querying framework that allows semantic search, result selection, and result ranking of structured (relational DB-style), unstructured (IR-style), and partly structured (NoSQL) data. Various weighting functions and a parallelized search algorithm have been developed for that purpose and are presented here. …"
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    article
  19. 99
  20. 100

    K Nearest Neighbor OveRsampling approach: An open source python package for data augmentation حسب Ashhadul Islam (16869981)

    منشور في 2022
    "…<p>Data is present in abundance, but the problem of imbalanced dataset crops up time and again, vexing classifiers and reducing accuracy. …"