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Showing 281 - 300 results of 435 for search '(( data processing algorithm ) OR ((( developing high algorithm ) OR ( relevant data algorithm ))))', query time: 0.12s Refine Results
  1. 281

    DRL-Based IRS-Assisted Secure Hybrid Visible Light and mmWave Communications by Danya A. Saifaldeen (19498705)

    Published 2024
    “…To address this complexity optimally, we propose a deep reinforcement learning (DRL) approach based on the deep deterministic policy gradient (DDPG) technique. The DDPG algorithm can adapt to channel variations due to user movement and high-dimensional factors. …”
  2. 282

    Evacuation of a highly congested urban city by El Khoury, John

    Published 2017
    “…As the evacuation route planning is computationally challenging, an evacuation scheduling algorithm was adopted to expedite the solution process. …”
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    conferenceObject
  3. 283

    An efficient claim management assurance system using EPC contract based on improved monarch butterfly optimization models by K. Mukilan (22224793)

    Published 2024
    “…To address these challenges, a claim management system is developed based on the Improved Monarch Butterfly Optimization Algorithm (IMBOA) and the principles of EPC. …”
  4. 284

    Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning by MEZAHEM, FATEMA HAMAD

    Published 2022
    “…For sentiment analysis, pre-processing is a crucial step in the data preparation process. …”
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  5. 285

    Shuffled Linear Regression with Erroneous Observations by Saab, Samer S.

    Published 2019
    “…Existing methods are either applicable only to data with limited observation errors, work only for partially shuffled data, sensitive to initialization, and/or work only with small dimensions. …”
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  6. 286
  7. 287

    Adaptive false discovery rate for wavelet denoising of pavement continuous deflection measurements by Katicha, Samer W.

    Published 2016
    “…The denoising methodology comprises a computational algorithm to identify significant features in a high-dimensional vector of observations containing white Gaussian noise. …”
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    article
  8. 288

    An aspect-oriented framework for systematic security hardening of software by Mourad, Azzam

    Published 2008
    “…Moreover, it allows the developers to use these solutions to harden open source software without the need to have high security expertise. …”
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    masterThesis
  9. 289

    Towards a Unified Arabic Government Services Chatbot Based on Ontology by Areed, Sufyan

    Published 2020
    “…High Accuracy score has been achieved by the proposed algorithm that reached 96% with Recall of 100% and Precision of 96% as well. …”
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  10. 290

    A GRASP Approach for Solving Large-Scale Electric Bus Scheduling Problems by Raka Jovanovic (17947838)

    Published 2021
    “…To be more precise, a greedy randomized adaptive search procedure (GRASP) algorithm is developed and its performance is evaluated against optimal solutions acquired using the MIP. …”
  11. 291

    Peak Loads Shaving in a Team of Cooperating Smart Buildings Powered Solar PV-Based Microgrids by Ahmed Ouammi (14151039)

    Published 2021
    “…The developed predictive model is implemented as a smart energy management based high-level control of the TCM to reduce/shave the peak loads and satisfy the EVs power demands through a coordination of the power exchanges between the microgrids. …”
  12. 292

    Reconfigured Photovoltaic Model to Facilitate Maximum Power Point Tracking for Micro and Nano-Grid Systems by J. Prasanth Ram (19499062)

    Published 2022
    “…The occurrence of multiple power peaks and their location are highly uncertain in PV systems; this necessitates the use of complex maximum power point tracking algorithms to introduce high voltage oscillations. …”
  13. 293

    Detecting and Predicting Archaeological Sites Using Remote Sensing and Machine Learning—Application to the Saruq Al-Hadid Site, Dubai, UAE by Ben-Romdhane, Haïfa

    Published 2023
    “…., dry and bare soil. SAR data were complemented with very high-resolution Worldview-3 multispectral images (0.31 m panchromatic, 1.24 m VNIR) to obtain a visual assessment of the study area and its land cover features. …”
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  14. 294
  15. 295

    Impacts of On-Grid Solar PV on Distribution Networks and Potential Solutions: A Case Study in the Region of Zahle by Korkmaz, Jessica

    Published 2025
    “…The siting and sizing methodology is conducted by considering five different optimization algorithms, namely the single-objective genetic algorithm (SOGA), the combined SOGA and loss sensitivity factor algorithm (SOGA-LSF), the multi-objective genetic algorithm (MOGA), the combined MOGA-LSF and the CAPADD algorithm of OpenDSS. …”
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    masterThesis
  16. 296

    UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices by Samir, Moataz

    Published 2019
    “…To solve it, we first propose the high-complexity branch, reduce and bound (BRB) algorithm to find the global optimal solution for relatively small scale scenarios. …”
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  17. 297

    Deep Reinforcement Learning for Resource Constrained HLS Scheduling by Makhoul, Rim

    Published 2022
    “…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …”
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    masterThesis
  18. 298

    Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR) by Elaine Beller (44602)

    Published 2018
    “…Recent advances in natural language processing, text mining and machine learning have produced new algorithms that can accurately mimic human endeavour in systematic review activity, faster and more cheaply. …”
  19. 299

    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying by Tekli, Joe

    Published 2023
    “…The semantically augmented XML data tree is processed for structural node clustering, based on semantic query concepts (i.e., key-concepts), in order to identify and rank candidate answer sub-trees containing related occurrences of query key-concepts. …”
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  20. 300