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Mahmood Safaei
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2020 – today
- 2024
- [j10]Shahla Asadi, Jordan Allison, Mohammad Iranmanesh, Masood Fathi, Mahmood Safaei, Faisal Saeed:
Determinants of Intention to Use Simulation-Based Learning in Computers and Networking Courses: An ISM and MICMAC Analysis. IEEE Trans. Engineering Management 71: 6015-6030 (2024) - 2023
- [j9]Amirmasood Bagheri, Mahmood Safaei, Ali Araghi, S. M. Mahdi Shahabi, Fan Wang, Mohsen Khalily, Rahim Tafazolli:
Mathematical Model and Real-World Demonstration of Multi-Beam and Wide-Beam Reconfigurable Intelligent Surface. IEEE Access 11: 19613-19621 (2023) - [j8]Mahmood Safaei, Seyed Ahmad Soleymani, Mitra Safaei, Hassan Chizari, Mehrbakhsh Nilashi:
Deep learning algorithm for supervision process in production using acoustic signal. Appl. Soft Comput. 146: 110682 (2023) - 2022
- [j7]Ali Araghi, Mohsen Khalily, Mahmood Safaei, Amirmasood Bagheri, Vikrant Singh, Fan Wang, Rahim Tafazolli:
Reconfigurable Intelligent Surface (RIS) in the Sub-6 GHz Band: Design, Implementation, and Real-World Demonstration. IEEE Access 10: 2646-2655 (2022) - [j6]Mahmood Safaei, Maha Driss, Wadii Boulila, Elankovan A. Sundararajan, Mitra Safaei:
Global outliers detection in wireless sensor networks: A novel approach integrating time-series analysis, entropy, and random forest-based classification. Softw. Pract. Exp. 52(1): 277-295 (2022) - 2021
- [j5]Mahmood Safaei, Elankovan A. Sundararajan, Maha Driss, Wadii Boulila, Azrulhizam Shapi'i:
A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity. Comput. Biol. Medicine 136: 104754 (2021) - [j4]Wadii Boulila, Mokhtar Sellami, Maha Driss, Mohammed Al-Sarem, Mahmood Safaei, Fuad A. Ghaleb:
RS-DCNN: A novel distributed convolutional-neural-networks based-approach for big remote-sensing image classification. Comput. Electron. Agric. 182: 106014 (2021) - [i1]Mahmood Safaei, Maha Driss, Wadii Boulila, Elankovan A. Sundararajan, Mitra Safaei:
Global Outliers Detection in Wireless Sensor Networks: A Novel Approach Integrating Time-Series Analysis, Entropy, and Random Forest-based Classification. CoRR abs/2107.10135 (2021) - 2020
- [j3]Mahmood Safaei, Abul Samad Ismail, Hassan Chizari, Maha Driss, Wadii Boulila, Shahla Asadi, Mitra Safaei:
Standalone noise and anomaly detection in wireless sensor networks: A novel time-series and adaptive Bayesian-network-based approach. Softw. Pract. Exp. 50(4): 428-446 (2020) - [j2]Mahmood Safaei, Shahla Asadi, Maha Driss, Wadii Boulila, Abdullah Alsaeedi, Hassan Chizari, Rusli Abdullah, Mitra Safaei:
A Systematic Literature Review on Outlier Detection in Wireless Sensor Networks. Symmetry 12(3): 328 (2020)
2010 – 2019
- 2019
- [j1]Shahla Asadi, Rusli Abdullah, Mahmood Safaei, Shah Nazir:
An Integrated SEM-Neural Network Approach for Predicting Determinants of Adoption of Wearable Healthcare Devices. Mob. Inf. Syst. 2019: 8026042:1-8026042:9 (2019)
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