Search Results - "Omar M Barukab"

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  1. 1

    A hybrid feature weighted attention based deep learning approach for an intrusion detection system using the random forest algorithm by Hashmi, Arshad, Barukab, Omar M, Hamza Osman, Ahmad

    Published in PloS one (23-05-2024)
    “…Due to the recent advances in the Internet and communication technologies, network systems and data have evolved rapidly. The emergence of new attacks…”
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    Journal Article
  2. 2

    Sharp Bounds of the Coefficient Results for the Family of Bounded Turning Functions Associated with a Petal-Shaped Domain by Barukab, Omar M., Arif, Muhammad, Abbas, Muhammad, Khan, Sher Afzal

    Published in Journal of function spaces (2021)
    “…The goal of this article is to determine sharp inequalities of certain coefficient-related problems for the functions of bounded turning class subordinated…”
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    Journal Article
  3. 3

    Smart Traffic Shaping Based on Distributed Reinforcement Learning for Multimedia Streaming over 5G-VANET Communication Technology by Ahmed, Adel, Malebary, Sharaf, Ali, Waleed, Barukab, Omar

    Published in Mathematics (Basel) (01-01-2023)
    “…Vehicles serve as mobile nodes in a high-mobility MANET technique known as the vehicular ad hoc network (VANET), which is used in urban and rural areas as well…”
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    Journal Article
  4. 4

    iHyd-PseAAC (EPSV): Identifying Hydroxylation Sites in Proteins by Extracting Enhanced Position and Sequence Variant Feature via Chou's 5- Step Rule and General Pseudo Amino Acid Composition by Ehsan, Asma, Mahmood, Muhammad K, Khan, Yaser D, Barukab, Omar M, Khan, Sher A, Chou, Kuo-Chen

    Published in Current genomics (01-02-2019)
    “…Background: In various biological processes and cell functions, Post Translational Modifications (PTMs) bear critical significance. Hydroxylation of proline…”
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    Journal Article
  5. 5

    Maize disease classification using transfer learning and convolutional neural network with weighted loss by Ahadian, Krisnanda, Yudistira, Novanto, Rahayudi, Bayu, Basori, Ahmad Hoirul, Malebary, Sharaf J., Alesawi, Sami, Mansur, Andi Besse Firdausiah, Alorfi, Almuhannad S., Barukab, Omar M.

    Published in Heliyon (15-11-2024)
    “…Maize stands out as a versatile commodity, finding applications in food and animal feed industries. Notably, half of the total demand for maize is met through…”
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    Journal Article
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    Intelligence Context Aware Mobile Navigation using Augmented Reality Technology by Basori, Ahmad Hoirul, Al-Sharif, Abdullah M. Al-Ghalib, AL-Oufi, Atiah O. Faraj, Almagrabi, Alaa Omran, Barukab, Omar M.

    “…Most of the technologies of today’s world, which are enriched with various powerful features and amazing quality characteristics, enables software developers…”
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    Journal Article
  9. 9

    Restriction Inhibition Assay: A Qualitative and Quantitative Method to Screen Sequence Specific DNA Binder from Herbal Plants by Hassan, Syed A, Barthwal, Ritu, Padmadeo, Shree R, Barukab, Omar M

    “…Purpose: To employ restriction inhibition assay (RIA) to screen phytochemical-rich fractions (PRFs) with high affinity for EcoRI and HindIII restriction…”
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    Journal Article
  10. 10

    A hybrid feature weighted attention based deep learning approach for an intrusion detection system using the random forest algorithm by Arshad Hashmi, Omar M Barukab, Ahmad Hamza Osman

    Published in PloS one (01-01-2024)
    “…Due to the recent advances in the Internet and communication technologies, network systems and data have evolved rapidly. The emergence of new attacks…”
    Get full text
    Journal Article
  11. 11

    Model trees and sequential minimal optimization based support vector machine models for estimating minimum surface roughness value by Hashmi, Sarosh, Halawani, Sami M., Barukab, Omar M., Ahmad, Amir

    Published in Applied mathematical modelling (01-02-2015)
    “…Average surface roughness value (Ra) is an important measure of the quality of a machined work piece. Lower the Ra value, the higher is the work piece quality…”
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    Journal Article
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  13. 13

    The ontology-based methodology phases to develop multi-agent system (OmMAS) by Yunianta, Arda, Barukah, Omar M., Yusof, Norazah, Musdholifah, Aina, Jayadiyanti, Herlina, Dengen, Nataniel, Haviluddin, Othman, Mohd Shahizan

    “…Semantic aspect on methodology phase is a significant issue to develop multi-agent system in the current days. There are a lot of methodologies to develop…”
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    Conference Proceeding