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All Outputs (6)

Computer aided collaborative learning using cloud computing: Challenges and opportunities (2021)
Book Chapter
Malik, M., Sid Ahmed, A., & Hosseini, A. (2021). Computer aided collaborative learning using cloud computing: Challenges and opportunities. In S. L. Gupta, N. Kishor, N. Mishra, S. Mathur, & U. Gupta (Eds.), Digitalization of Higher Education using Cloud Computing. Taylor & Francis

This chapter discusses and explores computer aided collaborative learning, starting with an introduction to its method and theories. Bloom’s taxonomy and benefits to individuals and organisations are discussed. The study considers the available compu... Read More about Computer aided collaborative learning using cloud computing: Challenges and opportunities.

E-learning development based on internet of things and blockchain technology during Covid-19 Pandemic (2021)
Journal Article
Rahmani, A. M., Naqvi, R., Malik, M., Malik, T. S., Sadrishojaei, M., Hosseinzadeh, M., & Al-Musawi, A. (2021). E-learning development based on internet of things and blockchain technology during Covid-19 Pandemic. Mathematics, 9(24), 3151. https://doi.org/10.3390/math9243151

The suspension of institutions around the world in early 2020 due to the COVID-19 virus did not stop the learning process. E-learning concepts and digital technologies enable students to learn from a safe distance while continuing their educational p... Read More about E-learning development based on internet of things and blockchain technology during Covid-19 Pandemic.

Context-aware multi-user offloading in mobile edge computing: A federated learning-based approach (2021)
Journal Article
Shahidinejad, A., Farahbakhsh, F., Ghobaei-Arani, M., Malik, M. H., & Anwar, T. (2021). Context-aware multi-user offloading in mobile edge computing: A federated learning-based approach. Journal of Grid Computing, 19(2), https://doi.org/10.1007/s10723-021-09559-x

Mobile edge computing (MEC) provides an effective solution to help the Internet of Things (IoT) devices with delay-sensitive and computation-intensive tasks by offering computing capabilities in the proximity of mobile device users. Most of the exist... Read More about Context-aware multi-user offloading in mobile edge computing: A federated learning-based approach.

IPv6 cryptographically generated address: Analysis, optimization and protection (2021)
Journal Article
Ahmed, A. S., Hassan, R., Qamar, F., & Malik, M. (2021). IPv6 cryptographically generated address: Analysis, optimization and protection. Computers, Materials & Continua, 68(1), 247-265. https://doi.org/10.32604/cmc.2021.014233

In networking, one major difficulty that nodes suffer from is the need for their addresses to be generated and verified without relying on a third party or public authorized servers. To resolve this issue, the use of selfcertifying addresses have bec... Read More about IPv6 cryptographically generated address: Analysis, optimization and protection.

COVID-19 and learning styles: GCET as case study (2021)
Journal Article
Malik, M. H., Amjed, S., & Hasani, S. (2021). COVID-19 and learning styles: GCET as case study. Computers, Materials & Continua, 68(1), 103-115. https://doi.org/10.32604/cmc.2021.014562

The COVID-19 pandemic has caused higher educational institutions around the world to close campus-based activities and move to online delivery. The aim of this paper is to present the case of Global College of Engineering and Technology (GCET) and ho... Read More about COVID-19 and learning styles: GCET as case study.

Machine learning for strategic decision making during COVID-19 at higher education institutes (2021)
Conference Proceeding
Ahmed, A. S. A. M. S., & Malik, M. H. (2021). Machine learning for strategic decision making during COVID-19 at higher education institutes. In 2020 International Conference on Decision Aid Sciences and Application (DASA) (663-668). https://doi.org/10.1109/DASA51403.2020.9317042

Machine learning is becoming driving force for strategic decision making in higher educational institutions and it calls for cooperation between stakeholders and the use of efficient computation methods. Contrariwise, making decisions might consume m... Read More about Machine learning for strategic decision making during COVID-19 at higher education institutes.