STAFF PROFILE
Dr. Ammar Kamoona
Position:
Research Assistant
College / Portfolio:
STEM College
School / Department:
STEM|School of Engineering
Email:
ammar.kamoona@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
- Song, H.,Al Khafaf, N.,Kamoona, A.,SAJJADI, S.,Moradi Amani, A.,Jalili, M.,Yu, X.,McTaggart, P. (2023). Multitasking recurrent neural network for photovoltaic power generation prediction In: Energy Reports, 9, 369 - 376
- Kamoona, A.,Song, H.,Keshavarzian, K.,Levy, K.,Jalili, M.,Wilkinson, R.,Yu, X.,McGrath, B.,Meegahapola, L. (2023). Machine learning based energy demand prediction In: Energy Reports, 9, 171 - 176
- Meegahapola, L.,Jalili, M.,Wilkinson, R.,Hasan, K.,Yu, X.,Gu, M.,Song, H.,Kamoona, A.,Ahmed, M. (2023). Optimisation of Behind the Meter DER Generation Assets within Network Constraints: A Roadmap to Successful DR Program – Final Project Report In: C4NET Melbourne, Australia
- Kamoona, A.,Khodadadian Gostar, A.,Bab-Hadiashar, A.,Hoseinnezhad, R. (2022). Multiple instance-based video anomaly detection using deep temporal encoding–decoding In: Expert Systems with Applications, 214, 1 - 13
- Kamoona, A.,Khodadadian Gostar, A.,Bab-Hadiashar, A.,Hoseinnezhad, R. (2021). Point Pattern Feature-Based Anomaly Detection for Manufacturing Defects, in the Random Finite Set Framework In: IEEE Access, 9, 158672 - 158681
- Kamoona, A.,Khodadadian Gostar, A.,Tennakoon, R.,Bab-Hadiashar, A.,Accadia, D.,Thorpe, J.,Hoseinnezhad, R. (2019). Random Finite Set-Based Anomaly Detection for Safety Monitoring in Construction Sites In: IEEE Access, 7, 105710 - 105720
- Kamoona, A.,Khodadadian Gostar, A.,Bab-Hadiashar, A.,Hoseinnezhad, R. (2019). Sparsity-Based Naive Bayes Approach for Anomaly Detection in Real Surveillance Videos In: Proceddings of the 8th International Conference on Control, Automation and Information Sciences (ICCAIS 2019), Chengdu, China, 23 – 26 October 2019
- Kamoona, A.,Patra, J. (2019). A novel enhanced cuckoo search algorithm for contrast enhancement of gray scale images In: Applied Soft Computing Journal, 85, 1 - 20