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Showing 221 - 240 results of 247 for search 'optimization application algorithm', query time: 0.06s Refine Results
  1. 221
    FoGMatch

    FoGMatch by Arisdakessian, Sarhad

    Published 2019
    “…Our solution consists of (1) two optimization problems, one for the IoT devices and one for the fog nodes, (2) preference functions for both the IoT and fog layers to help them rank each other on the basis of several criteria such latency and resource utilization, and (3) centralized and distributed intelligent scheduling algorithms that consider the preferences of both the fog and IoT layers to improve the performance of the overall IoT ecosystem. …”
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  2. 222
    On-demand deployment of multiple aerial base stations for traffic offloading and network recovery

    On-demand deployment of multiple aerial base stations for traffic offloading and network recovery by Sharafeddine, Sanaa

    Published 2019
    “…We present performance results for the proposed algorithm as a function of various system parameters and demonstrate its effectiveness compared to the close-to-optimal greedy approach and its superiority compared to recent related work from the literature.…”
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  3. 223
    Development of a deep learning-based group contribution framework for targeted design of ionic liquids

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

    Published 2024
    “…Correlation results align with the experimental data, affirming the applicability of our framework. Finally, the algorithm is employed in a CO<sub>2</sub> capture case study to generate and select the best-performing novel ILs, which exhibit behavior consistent with established ILs in the literature.…”
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  4. 224
    Practical single node failure recovery using fractional repetition codes in data centers

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

    Published 2016
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  5. 225
    Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review

    Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review by Mohamed Massaoudi (16888710)

    Published 2021
    “…In addition, this review analyzes recent automatic architecture optimization algorithms for DL-based PVPF. Next, the notable DL technologies are thoroughly described. …”
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  6. 226
    3D deployment of UAVs in wireless networks for traffic offloading and edge computing. (c2019)

    3D deployment of UAVs in wireless networks for traffic offloading and edge computing. (c2019) by Islambouli, Rania

    Published 2019
    “…This being said, computation tasks generated by IoT devices can be pro- cessed in less latency and with much lower energy consumption at the devices. To optimally deploy UAVs as mounted cloudlets, we formulate our problem as mixed integer program and then use an e cient meta-heuristic algorithm to generate optimized results for large scale IoT networks. …”
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  7. 227
    Conceptual Design and Analysis of Concentrated Photovoltaic Thermal (CPVT) Solar Collectors with Different Configurations

    Conceptual Design and Analysis of Concentrated Photovoltaic Thermal (CPVT) Solar Collectors with Different Configurations by Sharaf, Omar Z.

    Published 2015
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  8. 228
    A Systematic Literature Review on Phishing Email Detection Using Natural Language Processing Techniques

    A Systematic Literature Review on Phishing Email Detection Using Natural Language Processing Techniques by SALLOUM, SAID

    Published 2022
    “…The findings include that the main research area in phishing detection studies is feature extraction and selection, followed by methods for classifying and optimizing the detection of phishing emails. Amongst the range of classification algorithms, support vector machines (SVMs) are heavily utilised for detecting phishing emails. …”
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  9. 229
    DRL-Based UAV Path Planning for Coverage Hole Avoidance: Energy Consumption and Outage Time Minimization Trade-Offs

    DRL-Based UAV Path Planning for Coverage Hole Avoidance: Energy Consumption and Outage Time Minimization Trade-Offs by Bahareh Jafari (22501715)

    Published 2025
    “…By deploying a deep reinforcement learning algorithm, we find optimal UAV paths based on the two families of trajectories: spiral and oval curves, to tackle different design considerations and constraints, in terms of QoS, energy consumption and coverage hole avoidance. …”
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  10. 230
    Current trends and future orientation in diagnosing lung pathologies: A systematic survey

    Current trends and future orientation in diagnosing lung pathologies: A systematic survey by Noorizadeh, Mohammad

    Published 2025
    “…The CV processing method involves the application of advanced imaging techniques and machine learning algorithms to scrutinize and diagnose lung pathologies and ventilator-associated pneumonia (VAP). …”
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  11. 231
    On the Provisioning of Ultra-Reliable Low-Latency Services in IoT Networks with Multipath Diversity

    On the Provisioning of Ultra-Reliable Low-Latency Services in IoT Networks with Multipath Diversity by Sweidan, Zahraa

    Published 2020
    “…We de ne the constraints of the problem, model it as a Markov Decision Process, and propose a reinforcement learning-based solution to optimize the UAV trajectory. Simulation results are presented for both parts of the thesis to illustrate the effectiveness of the proposed solutions and algorithms in comparison with optimal solutions and baseline algorithms.…”
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  12. 232
    Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging

    Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging by Maricar, Mohammed Farook

    Published 2023
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  13. 233
    Use data Mining Techniques to Predict Users’ Engagement on the Social Network Posts in The Period Before, During and After Ramadan

    Use data Mining Techniques to Predict Users’ Engagement on the Social Network Posts in The Period Before, During and After Ramadan by AL RAWASHDEH, HANEEN MOHAMMAD

    Published 2017
    “…Different classification algorithms were applied to the dataset using the Rapidminer tool. …”
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  14. 234
    Isolating Physical Replacement of Identical IoT Devices Using Machine and Deep Learning Approaches

    Isolating Physical Replacement of Identical IoT Devices Using Machine and Deep Learning Approaches by Mohammad, Areej Osama

    Published 2021
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  15. 235
    FPGA-Based Network Traffic Classification Using Machine Learning

    FPGA-Based Network Traffic Classification Using Machine Learning by Elnawawy, Mohammed

    Published 2019
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  16. 236
    Artificial intelligence-based methods for fusion of electronic health records and imaging data

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

    Published 2022
    “…We present a comprehensive analysis of the various fusion strategies, the diseases and clinical outcomes for which multimodal fusion was used, the ML algorithms used to perform multimodal fusion for each clinical application, and the available multimodal medical datasets. …”
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  17. 237
    Parameterization and compensation of friction forces using geneticalgorithms

    Parameterization and compensation of friction forces using geneticalgorithms by Al-Duwaish, H.N.

    Published 1999
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  18. 238
    Complexities of special matrix multiplication problems

    Complexities of special matrix multiplication problems by Takche, J.

    Published 1988
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  19. 239
    SemIndex: Semantic-Aware Inverted Index

    SemIndex: Semantic-Aware Inverted Index by Chbeir, Richard

    Published 2017
    “…Preliminary results have demonstrated the effectiveness, scalability and optimality of our approach.…”
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  20. 240
    A fine-grained XML structural comparison approach

    A fine-grained XML structural comparison approach by Tekli, Joe

    Published 2007
    “…As the Web continues to grow and evolve, more and more information is being placed in structurally rich documents, XML documents in particular, so as to improve the efficiency of similarity clustering, information retrieval and data management applications. Various algorithms for comparing hierarchically structured data, e.g., XML documents, have been proposed in the literature. …”
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