Showing 81 - 100 results of 144 for search '(((( experimental model algorithm ) OR ( complement c5 algorithm ))) OR ( level coding algorithm ))', query time: 0.12s Refine Results
  1. 81
  2. 82

    Digital Image Watermarking Using Balanced Multiwavelets by Ghouti, L.

    Published 2006
    “…In this paper, a robust watermarking algorithm using balanced multiwavelet transform is proposed. …”
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    article
  3. 83
  4. 84

    Optimization metaheuristic for software testing by Mansour, Nashat

    Published 2013
    “…SA evolves a solution by minimizing a function that is based on the contradictory objectives of coverage of events, diversity of events covered, and definite continuity of events. Our experimental results show that the proposed simultaneous-operation SA gives better results than an incremental SA version and significantly better than a greedy algorithm.…”
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    conferenceObject
  5. 85

    Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation by Attieh, Joseph

    Published 2024
    “…Experimental results on four benchmark datasets show that our lean model approach improves text classification accuracy and is significantly more efficient compared with its deep model alternatives.…”
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  6. 86
  7. 87

    DAP: A dataset-agnostic predictor of neural network performance by Sui Paul Ang (18460605)

    Published 2024
    “…To this end, we propose a dataset-agnostic regression framework that uses a novel dual-LSTM model and a new dataset difficulty feature. The experimental results show that both tasks above are indeed feasible, and the proposed method outperforms the existing techniques in all experimental cases. …”
  8. 88

    Degree-Based Network Anonymization by Halawi, Ola

    Published 2020
    “…A corresponding graph realization approach is introduced based on a reduction to the Weighted Edge Cover problem, which in turn is solved using Integer Linear Programming to obtain the best possible solution. Our thorough experimental studies provide empirical evidence of the effectiveness of the new approach; by specifically showing that the introduced anonymization algorithm has a negligible effect on the way nodes are clustered, thereby preserving valuable network information while significantly improving the data privacy.…”
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    masterThesis
  9. 89

    Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation by Fawaz Kserawi (16904859)

    Published 2022
    “…We describe our differentially-private model with flexible constraints and a dynamic window algorithm to maintain the privacy-budget loss in infinitely generated time-series data. …”
  10. 90

    Novel RFID-Based Pose Estimation Using Single Stationary Antenna by Saab, Samer S.

    Published 2016
    “…Our scheme is based on power map matching algorithm that is capable in estimating the location and orientation of objects. …”
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    article
  11. 91

    A machine learning approach for localization in cellular environments by Abdallah, Ali A.

    Published 2018
    “…This constitutes an improvement of 41%, 45%, and 16%, respectively, over the WKNN-only algorithm.…”
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    conferenceObject
  12. 92

    Generic metadata representation framework for social-based event detection, description, and linkage by Abebe, Minale A.

    Published 2020
    “…SEDDaL consists of four main modules for: i) describing social media objects in a generic Metadata Representation Space Model (MRSM) consisting of three composite dimensions: temporal, spatial, and semantic, ii) evaluating the similarity between social media objects’ descriptions following MRSM, iii) detecting events from similar social media objects using an adapted unsupervised learning algorithm, where events are represented as clusters of objects in MRSM, and iv) identifying directional, metric, and topological relationships between events following MRSM’s dimensions. …”
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    article
  13. 93

    Efficient Seismic Volume Compression using the Lifting Scheme by Khene, M. F.

    Published 2000
    “…Finally a runlength plus a Huffman encoding are applied for binary coding of the quantized coefficients.…”
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    article
  14. 94

    Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO by Majedeh Gheytanzadeh (17541927)

    Published 2022
    “…Considering the high cost and time-consuming experimental investigations, computational methods, particularly machine learning algorithms, can be the appropriate approach for efficiently screening the metal alloys as the electrocatalysts. …”
  15. 95
  16. 96

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

    Published 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. …”
  17. 97
  18. 98

    RFID localization using single reader antenna. (c2014) by Msheik, Hamze

    Published 2016
    “…Unlike conventional Power Map Matching schemes which create the map from actual measurements; the proposed Power Map is automatically generated based on a model. In this work we will justify the proposed Localization scheme analytically and provide numerical and experimental data to substantiate our methodology.…”
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    masterThesis
  19. 99

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

    Published 2018
    “…Various weighting functions and a parallelized search algorithm have been developed for that purpose and are presented here. …”
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    article
  20. 100

    Development of a deep learning-based group contribution framework for targeted design of ionic liquids by Sadah Mohammed (18192859)

    Published 2024
    “…Our model achieves high accuracy with R2 values of 95%, 94.2%, and 96.4% for DNN-GC, ANN-GC, and DNN-ANN-GC, respectively. …”