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Showing 261 - 280 results of 295 for search '(((( data injection algorithm ) OR ( data including algorithm ))) OR ( elements method algorithm ))', query time: 0.10s Refine Results
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    Automatic Recognition of Poets for Arabic Poetry using Deep Learning Techniques (LSTM and Bi-LSTM) by AL SHOUBAKI, HAMZA YOUNIS

    Published 2024
    “…We also explore a range of algorithms, including traditional classifiers and deep learning models, to determine and select the most suitable and accurate models of identifying poets' names from the verses. …”
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  3. 263

    Comprehensive whole genome sequence analyses yields novel genetic and structural insights for Intellectual Disability by Farah R. Zahir (18892108)

    Published 2017
    “…We analyzed structural variation by four different algorithms including <i>de novo</i> genome assembly. …”
  4. 264

    Various Faults Classification of Industrial Application of Induction Motors Using Supervised Machine Learning: A Comprehensive Review by Rehaan Hussain (22302742)

    Published 2025
    “…Machine learning algorithms are a set of data-driven rules that are able to classify specific faults in induction motors, which will be explained further in this review paper. …”
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    Integrated whole transcriptome and small RNA analysis revealed multiple regulatory networks in colorectal cancer by Hibah Shaath (5599658)

    Published 2021
    “…IPA in combination with in silico prediction algorithms and experimentally validated databases gave insight into the complex associations and interactions between downregulated miRNAs and upregulated mRNAs in CRC and vice versa. …”
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    A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis by Alaa Abd-Alrazaq (17430900)

    Published 2021
    “…Publishers should avoid noise in the data by developing a way to trace the evolution of individual publications and unique authors.…”
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    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. …”
  11. 271

    Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases by Muhammad Ali Muzammil (17910611)

    Published 2024
    “…The use of AI in ECG analysis has several benefits, including the quick and precise detection of problems like arrhythmias, silent cardiac illnesses, and left ventricular failure. …”
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    A Digital DNA Sequencing Engine for Ransomware Analysis using a Machine Learning Network by KHAN, FIROZ

    Published 2020
    “…The preprocessing of data includes remove missing value records and remove columns that have a negligible impact. …”
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  14. 274

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

    Published 2022
    “…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. …”
  15. 275

    Impacts of climate change on the global spread and habitat suitability of <i>Coxiella burnetii</i>: Future projections and public health implications by Abdallah Falah Mohammad Aldwekat (22457821)

    Published 2025
    “…In interpreting these results, it is important to consider modelling uncertainties, including assumptions and data limitations.</p><h2>Other Information</h2><p dir="ltr">Published in: The Journal of Climate Change and Health<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.joclim.2025.100442" target="_blank">https://dx.doi.org/10.1016/j.joclim.2025.100442</a></p>…”
  16. 276

    Performance Prediction Using Classification by MOOLIYIL, GITA

    Published 2019
    “…This study also addresses gaps in the current available literature on performance prediction, such as data imbalance and the use of Ensemble models. Sampling and weighting techniques were included using Rapid Miner operators for SMOTE, stratified, bootstrap sampling and weighting. …”
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  17. 277

    A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks by Sakib Mahmud (15302404)

    Published 2025
    “…Reported benefits include energy savings, emissions reduction, and improved operational efficiency, although gains are often contingent on data quality, reward design, and benchmark selection. …”
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