Abde rrafik LAAKEL HEMDANOU

Dr. Abde rrafik LAAKEL HEMDANOU

orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2024 in Computers and Education: Artificial Intelligence
Verified
Journal Article
Open access
AHAbde rrafik LAAKEL HEMDANOU
Abde rrafik LAAKEL HEMDANOU
MSMohammed Lamarti Sefian
Mohammed Lamarti Sefian
YAYoussef Achtoun
Youssef Achtoun
ITIsmail Tahiri
Ismail Tahiri

15 April 2026 in Journal of Computational Mathematics and Data Science
Verified
Journal Article
Open access
AHAbde rrafik LAAKEL HEMDANOU
Abde rrafik LAAKEL HEMDANOU
YAYoussef Achtoun
Youssef Achtoun
MSMohammed Lamarti Sefian
Mohammed Lamarti Sefian
ITIsmail Tahiri
Ismail Tahiri
AAAbdellatif El Afia
Abdellatif El Afia

21 October 2025 in Education and Information Technologies
Verified
Journal Article
Closed access
PDF file
AHAbde rrafik LAAKEL HEMDANOU
Abde rrafik LAAKEL HEMDANOU
YAYOUSSEF ACHTOUN
YOUSSEF ACHTOUN
ITIsmail Tahiri
Ismail Tahiri
MSMohamed Lamarti Sefian
Mohamed Lamarti Sefian

Verified
Journal Article
Open access
PDF file
AHAbde rrafik LAAKEL HEMDANOU
Abde rrafik LAAKEL HEMDANOU
YAYOUSSEF ACHTOUN
YOUSSEF ACHTOUN
SMSara Mouali
Sara Mouali
MSMohamed Lamarti Sefian
Mohamed Lamarti Sefian
VČVesna Šešum Čavić
Vesna Šešum Čavić
Stojan Novica RadenovicStojan Novica Radenovic
Stojan Novica Radenovic
Spectral clustering has established itself as a powerful technique for data partitioning across various domains due to its ability to handle complex cluster structures. However, its computational efficiency remains a challenge, especially with large datasets. In this paper, we propose an enhancement of spectral clustering by integrating Cover tree data structure to optimize the nearest neighbor search, a crucial step in the construction of similarity graphs. Cover trees are a type of spatial tree that allow for efficient exact nearest neighbor queries in high-dimensional spaces. By embedding this technique into the spectral clustering framework, we achieve significant reductions in computational cost while maintaining clustering accuracy. Through extensive experiments on random, synthetic, and real-world datasets, we demonstrate that our approach outperforms traditional spectral clustering methods in terms of scalability and execution speed, without compromising the quality of the resultant clusters. This work provides a more efficient utilization of spectral clustering in big data applications.

10 June 2025
Verified
Book Chapter
Closed access
PDF file
AHAbde rrafik LAAKEL HEMDANOU
Abde rrafik LAAKEL HEMDANOU
HBHamid Barkouk
Hamid Barkouk
MSMohamed Lamarti Sefian
Mohamed Lamarti Sefian
YAYOUSSEF ACHTOUN
YOUSSEF ACHTOUN
ITIsmail Tahiri
Ismail Tahiri

20 June 2025
Verified
Book Chapter
Open access
PDF file
SMSara Mouali
Sara Mouali
MSMohamed Lamarti Sefian
Mohamed Lamarti Sefian
IBImane Bakkali
Imane Bakkali
AHAbde rrafik LAAKEL HEMDANOU
Abde rrafik LAAKEL HEMDANOU
The innovation of intelligent tools and virtual worlds is progressing rapidly in the face of the rapid advancement of technology and digital revolutions. Virtual Reality (VR) and Augmented Reality (AR) are prime examples of such innovations. They have the potential to greatly improve and enhance various areas, particularly in educational settings. Since the 1960s, these technologies have undergone periodic development and renewals, from hardware to software. This paper aims to review the historical evolution of VR and AR, including recent advances, and their current applications in education, particularly in mathematics education. The paper will also address the challenges these technologies face in an educational context. This article reviews 30 papers published between 2015 and 2023 from three databases (ACM Digital Library, Scopus, and Web of Science), selected using the PRISMA method, to answer the following research questions: How have VR and AR evolved? What are the educational uses and applications of VR and AR? What are the challenges that could be addressed?