All Outputs (5)

IoT data quality issues and potential solutions: a literature review (2021)
Journal Article
Mansouri, T., Moghadam, M., Monshizadeh, F., & Zareravasan, A. (2021). IoT data quality issues and potential solutions: a literature review. Computer Journal, https://doi.org/10.1093/comjnl/bxab183

In the Internet of Things (IoT), data gathered from dozens of devices are the base for creating business value and developing new products and services. If data are of poor quality, decisions are likely to be non-sense. Data quality is crucial to gai... Read More about IoT data quality issues and potential solutions: a literature review.

IoT data quality issues and potential solutions : a literature review (2021)
Journal Article
Mansouri, T., Sadeghi Moghadam, M., Monshizadeh, F., & Zareravasan, A. (2021). IoT data quality issues and potential solutions : a literature review. Computer Journal, https://doi.org/10.1093/comjnl/bxab183

In the Internet of Things (IoT), data gathered from dozens of devices are the base for creating business value and developing new products and services. If data are of poor quality, decisions are likely to be non-sense. Data quality is crucial to gai... Read More about IoT data quality issues and potential solutions : a literature review.

Credit card fraud detection using asexual reproduction optimization (2021)
Journal Article
Farhang, A., Mansouri, T., Sadeghi Moghaddam, M., Bahrambeik, N., Yavari, R., & Fani Sani, M. (2021). Credit card fraud detection using asexual reproduction optimization. Kybernetes, https://doi.org/10.1108/K-04-2021-0324

Purpose – The best algorithm that was implemented on this Brazilian dataset was artificial immune system (AIS) algorithm. But the time and cost of this algorithm are high. Using asexual reproduction optimization (ARO) algorithm, the authors achieve... Read More about Credit card fraud detection using asexual reproduction optimization.

An FCM-based dynamic modeling of operability and maintainability barriers in road projects (2021)
Journal Article
Ghaleenoei, N., Saghatforoush, E., Mansouri, T., & Zareravasan, A. (2021). An FCM-based dynamic modeling of operability and maintainability barriers in road projects. International Journal of Pavement Research and Technology, https://doi.org/10.1007/s42947-021-00027-z

Building a new road infrastructure in the country leads to economic and industrial growth. A massive amount of money is paid by governments to build them; however, they fail due to many reasons related to operability and maintainability (O&M) issues.... Read More about An FCM-based dynamic modeling of operability and maintainability barriers in road projects.

A Learning Fuzzy Cognitive Map (LFCM) approach to predict student performance (2021)
Journal Article
Mansouri, T., ZareRavasan, A., & Ashrafi, A. (2021). A Learning Fuzzy Cognitive Map (LFCM) approach to predict student performance. Journal of Information Technology Education: Research, 20, 221-243. https://doi.org/10.28945/4760

Aim/Purpose: This research aims to present a brand-new approach for student performance prediction using the Learning Fuzzy Cognitive Map (LFCM) approach. Background: Predicting student academic performance has long been an important research topic i... Read More about A Learning Fuzzy Cognitive Map (LFCM) approach to predict student performance.