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Madini O Alassafi

Biographic Data

ID9446124
NAMEMadini O Alassafi
GIVEN NAMESMadini
FAMILY NAMEO Alassafi
SIGNATUREALASSAFI M O
AFFILIATIONSKing Abdulaziz University
ORCID0000-0001-9919-8368
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Kanformer

    Open Access•Bayan Alnasyan, Mohammed Basheri et al.•ARTICLE•Social Network Analysis and Mining•2025

    With the rapid growth of digital education, massive open online courses (MOOCs) have gained widespread popularity. However, high failure rates and low completion rates remain challenges, highlighting the need for accurate student performance prediction to identify at-risk students and implement timely interventions. Many existing models assume simplistic or linear dependencies, failing to capture the complex relationships and cross-dimensional in…

  • Formulation of rules for the scientific community using deep learning

    Open Access•Abdulrahman A Alshdadi, Muhammad Usman et al.•ARTICLE•Scientometrics•2023

  • Real-time adaptive stochastic control of smart grid data traffic for security purposes

    Open Access•Iordanis K Giannopoulos, Assimakis K Leros et al.•ARTICLE•Sustainable Cities and Society•2020

No prominent works on this page.

  • Real-time adaptive stochastic control of smart grid data traffic for security purposes

    Open Access•Iordanis K Giannopoulos, Assimakis K Leros et al.•ARTICLE•Sustainable Cities and Society•2020

  • Formulation of rules for the scientific community using deep learning

    Open Access•Abdulrahman A Alshdadi, Muhammad Usman et al.•ARTICLE•Scientometrics•2023

  • Kanformer

    Open Access•Bayan Alnasyan, Mohammed Basheri et al.•ARTICLE•Social Network Analysis and Mining•2025

    With the rapid growth of digital education, massive open online courses (MOOCs) have gained widespread popularity. However, high failure rates and low completion rates remain challenges, highlighting the need for accurate student performance prediction to identify at-risk students and implement timely interventions. Many existing models assume simplistic or linear dependencies, failing to capture the complex relationships and cross-dimensional in…

Computer Science (3 works) · Artificial Intelligence (2 works) · Machine learning (2 works) · Mathematics (2 works) · Advanced Text Analysis Techniques (1 works) · Autoregressive integrated moving average (1 works) · Autoregressive model (1 works) · Big Data and Business Intelligence (1 works) · Computational and Text Analysis Methods (1 works) · Computer network (1 works)

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