Showing 481 - 500 results of 763 for search '(( data processing algorithm ) OR ((( developing a algorithm ) OR ( elementary deer algorithm ))))', query time: 0.12s Refine Results
  1. 481

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

    Published 2022
    “…<p dir="ltr">Recently, electrochemical reduction of CO<sub>2</sub> into value-added fuels has been noticed as a promising process to decrease CO<sub>2</sub> emissions. …”
  2. 482

    Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review by Alaa Abd-alrazaq (17058018)

    Published 2022
    “…A narrative approach was used for data synthesis.…”
  3. 483

    Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model by Ramesh Sundar (19326046)

    Published 2024
    “…The proposed approach of DDN is trained with proper data sequences used for communication and the training phase is conducted with the norms of numerous channel variants. …”
  4. 484

    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
  5. 485

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

    Published 2023
    “…Dedicated weighting functions and various search algorithms have been developed for that purpose and will be presented here. …”
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    article
  6. 486

    An automated temporal partitioning and loop fission approach for FPGA based reconfigurable synthesis of DSP applications by Ouaiss, I.

    Published 2017
    “…We discuss efficient memory mapping and address generation techniques for the synthesis of reconfigurable designs. A case study on the Joint Photographic Experts Group (JPEG) image compression algorithm demonstrates the effectiveness of our approach.…”
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    conferenceObject
  7. 487

    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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    conferenceObject
  8. 488

    An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control by Mahmoud Dahmani (18810247)

    Published 2020
    “…<p dir="ltr">In the 34 developed and 156 developing countries, there are ~132 million disabled people who need a wheelchair, constituting 1.86% of the world population. …”
  9. 489
  10. 490

    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
  11. 491

    Plant disease detection using drones in precision agriculture by Ruben Chin (17725986)

    Published 2023
    “…These effects result in a loss of income in the production sectors which are particularly critical for developing countries. …”
  12. 492

    Exploratory risk prediction of type II diabetes with isolation forests and novel biomarkers by Yousef, Hibba

    Published 2024
    “…In particular, Isolation Forest (iForest) was applied as an anomaly detection algorithm to address class imbalance. iForest was trained on the control group data to detect cases of high risk for T2DM development as outliers. …”
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  13. 493

    Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System by B. Rouabah (17947820)

    Published 2023
    “…<p dir="ltr">Currently, providing water in developing countries, especially in dry and hot rural areas, is a significant challenge. …”
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  16. 496

    Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization by Yassine Himeur (14158821)

    Published 2023
    “…While artificial intelligence (AI) smooths the path of computers to think like humans, machine learning (ML) and deep learning (DL) pave the way more, even by adding training and learning components. DL algorithms require data labeling and high-performance computers to effectively analyze and understand surveillance data recorded from fixed or mobile cameras installed in indoor or outdoor environments. …”
  17. 497

    Topology and parameter estimation in power systems through inverter-based broadband stimulations by Margossian, Harag

    Published 2015
    “…Broadband stimulation signals are injected from distributed generators and their effects are measured at various locations in the grid. To process and evaluate this data, a novel aggregation method based on weighed least squares will be proposed in this study. …”
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    article
  18. 498
  19. 499

    Recursive Estimation Of Linear Systems' Parameters Based On Cumulant Matching by Emara-Shabaik, Husam

    Published 2020
    “…The problem of the estimation of the parameters of linear systems from noisy inputoutput measurements is considered. A third-order cumulant matching recursive algorithm is developed. …”
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    article
  20. 500

    An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems by Abdel-Salam, Mahmoud

    Published 2024
    “…Feature selection (FS) is the activity of defining the most contributing feature subset among all used features to improve the superiority of datasets with a large number of dimensions by selecting significant features and eliminating redundant and irrelevant ones. Therefore, this process can be seen as an optimization process. The primary goals of feature selection are to decrease the number of dimensions and enhance classification accuracy in many domains, such as text classification, large-scale data analysis, and pattern recognition. …”
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