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Showing 581 - 600 results of 604 for search '(( (constraint OR constrained) optimization algorithm ) OR ( based optimization algorithm ))', query time: 0.14s Refine Results
  1. 581
    Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques

    Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques by Hassan, Mahitab Alaaeldin

    Published 2017
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  2. 582
    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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  3. 583
    Assessing the potential of network reconfiguration to improve distributed generation hosting capacity in active distribution systems

    Assessing the potential of network reconfiguration to improve distributed generation hosting capacity in active distribution systems by Margossian, Harag

    Published 2014
    “…The problem is formulated as a mixed-integer, nonlinear, multi-period optimal power flow (MP-OPF) which aims to maximize the DG hosting capacity under thermal and voltage constraints. …”
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  4. 584
    Enhancing building sustainability: A Digital Twin approach to energy efficiency and occupancy monitoring

    Enhancing building sustainability: A Digital Twin approach to energy efficiency and occupancy monitoring by Aya Nabil Sayed (17317006)

    Published 2024
    “…Our data-driven occupancy detection approach utilized Machine Learning (ML) algorithms to intelligently determine room occupancy, allowing for precise energy management based on real-time usage patterns. …”
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  5. 585
    Microwave brain imaging system to detect brain tumor using metamaterial loaded stacked antenna array

    Microwave brain imaging system to detect brain tumor using metamaterial loaded stacked antenna array by Amran Hossain (570706)

    Published 2022
    “…Later, a nine-antenna array-based microwave brain imaging (MBI) system is implemented and investigated by using phantom model. …”
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  6. 586
    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. …”
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  7. 587
    Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side

    Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side by Ali Sharida (17947847)

    Published 2024
    “…Then, an adaptive estimation strategy employing a recursive least square algorithm is proposed for online dynamic model estimation, which is then used by the IMPC for optimal switching states prediction. …”
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  8. 588
    Just-in-time defect prediction for mobile applications: using shallow or deep learning?

    Just-in-time defect prediction for mobile applications: using shallow or deep learning? by Raymon van Dinter (10521952)

    Published 2023
    “…Experimental results demonstrated that DL algorithms leveraging sampling methods perform significantly worse than the decision tree-based ensemble method. …”
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  9. 589
    Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates

    Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates by Ratiba F. Ghachi (14152455)

    Published 2022
    “…</p> <h2>Methods</h2> <p>To demonstrate the approach, we cutout zigzag resonators in a thin aluminium plate that is subjected to base-excitations. The thin plate and the zigzag cutouts are modelled using the finite element method, and the optimal location and optimal tip mass of the zigzag cutouts are obtained using genetic algorithms through iterative simulations. …”
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  10. 590
    From Collatz Conjecture to chaos and hash function

    From Collatz Conjecture to chaos and hash function by Masrat Rasool (17807813)

    Published 2023
    “…The effectiveness and dependability of the proposed hash function are evaluated by comparing it with two well-known hash algorithms, namely SHA-3 and SHA-2, as well as several other Chaos-based hash algorithms. …”
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  11. 591
    Advancing Coherent Power Grid Partitioning: A Review Embracing Machine and Deep Learning

    Advancing Coherent Power Grid Partitioning: A Review Embracing Machine and Deep Learning by Mohamed Massaoudi (16888710)

    Published 2025
    “…Subsequently, state-of-the-art research that envisions the use of clustering-based machine learning and deep learning-based solutions for PGP is presented. …”
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  12. 592
    Tuning of a fuzzy logic power system stabilizer using geneticalgorithms

    Tuning of a fuzzy logic power system stabilizer using geneticalgorithms by Abido, M.A.

    Published 1997
    “…The proposed approach uses genetic algorithms (GA) to search for optimal or near optimal settings of fuzzy logic power system stabilizer (FLPSS) parameters. …”
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  13. 593
    Work in Progress: Enhancing Sewage Systems Monitoring Through the Integration of Optical Fibre Sensors in IoT

    Work in Progress: Enhancing Sewage Systems Monitoring Through the Integration of Optical Fibre Sensors in IoT by Bustamante, Heriberto

    Published 2024
    “…The proposed platform leveragescompression algorithms and edge devices to optimize data communication. …”
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  14. 594
    Adaptive Energy Management System for Electric Vehicle Charging Stations

    Adaptive Energy Management System for Electric Vehicle Charging Stations by Agarkar, A. A.

    Published 2024
    “…By integrating fuzzy logic and reinforcement learning algorithms, the proposed system dynamically adjusts charging power allocation based on real-time grid conditions and EV battery levels. …”
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  15. 595
    Towards Multimedia Fragmentation

    Towards Multimedia Fragmentation by Saad, Samir

    Published 2006
    “…We particularly discuss multimedia primary horizontal fragmentation and provide a partitioning strategy based on low-level multi-media features. Our approach particularly emphasizes the importance of multimedia predicates implications in optimizing multimedia fragments. …”
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  16. 596
    Predicting Android Malware Using Evolution Networks

    Predicting Android Malware Using Evolution Networks by Chahine, Joy

    Published 2025
    “…We combine this model with genetic algorithms to optimize its parameters and return the best state transition probabilities, and we predict future malware accordingly. …”
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  17. 597
    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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  18. 598
    A fine-grained XML structural comparison approach

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

    Published 2007
    “…Our approach consists of two main algorithms for discovering the structural commonality between sub-trees and computing tree-based edit operations costs. …”
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  19. 599
    An XML Document Comparison Framework

    An XML Document Comparison Framework by Tekli, Joe

    Published 2001
    “…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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  20. 600
    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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