| A novel enhanced cuckoo search algorithm for contrast enhancement of gray scale images AM Kamoona, JC Patra Applied Soft Computing 85, 105749, 2019 | 61 | 2019 |
| Multiple instance-based video anomaly detection using deep temporal encoding–decoding AM Kamoona, AK Gostar, A Bab-Hadiashar, R Hoseinnezhad Expert Systems with Applications 214, 119079, 2023 | 41 | 2023 |
| An enhanced cuckoo search algorithm for solving optimization problems AM Kamoona, JC Patra, A Stojcevski 2018 IEEE congress on evolutionary computation (CEC), 1-6, 2018 | 25 | 2018 |
| Random finite set-based anomaly detection for safety monitoring in construction sites AM Kamoona, AK Gostar, R Tennakoon, A Bab-Hadiashar, D Accadia, ... Ieee Access 7, 105710-105720, 2019 | 17 | 2019 |
| Anomaly detection of defect using energy of point pattern features within random finite set framework AM Kamoona, AK Gostar, X Wang, M Easton, A Bab-Hadiashar, ... Engineering Applications of Artificial Intelligence 130, 107706, 2024 | 11 | 2024 |
| Sparsity-based naive bayes approach for anomaly detection in real surveillance videos AM Kamoona, AK Gostar, A Bab-Hadiashar, R Hoseinnezhad 2019 international conference on control, automation and information …, 2019 | 11 | 2019 |
| Multitasking recurrent neural network for photovoltaic power generation prediction H Song, N Al Khafaf, A Kamoona, SS Sajjadi, AM Amani, M Jalili, X Yu, ... Energy Reports 9, 369-376, 2023 | 9 | 2023 |
| Point pattern feature-based anomaly detection for manufacturing defects, in the random finite set framework AM Kamoona, AK Gostar, A Bab-Hadiashar, R Hoseinnezhad IEEE Access 9, 158672-158681, 2021 | 3 | 2021 |
| Evaluation of point pattern features for anomaly detection of defect within random finite set framework AM Kamoona, AK Gostar, A Bab-Hadiashar, R Hoseinnezhad arXiv preprint arXiv:2102.01882, 2021 | 2 | 2021 |
| Machine learning based energy demand prediction A Kamoona, H Song, K Keshavarzian, K Levy, M Jalili, R Wilkinson, X Yu, ... Energy Reports 9, 171-176, 2023 | | 2023 |
| Optimisation of Behind the Meter DER Generation Assets within Network Constraints: A Roadmap to Successful DR Program–Final Project Report L Meegahapola, M Jalili, R Wilkinson, K Hasan, X Yu, M Gu, H Song, ... C4NET, 2023 | | 2023 |
| Unlocking the potential of demand response schemes using machine learning techniques H Song, A Kamoona, M Jalili, R Wilkinson, K Levy, X Yu, B McGrath, ... https://c4net.com.au/projects/optimisation-of-behind-the-meter-der …, 2022 | | 2022 |
| Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework A Mansoor Kamoona, A Khodadadian Gostar, A Bab-Hadiashar, ... arXiv e-prints, arXiv: 2108.12159, 2021 | | 2021 |
| PhD Thesis template in LaTeX AM Kamoona Royal Melbourne Institute of Technology, 2021 | | 2021 |
| Evaluation of Point Pattern Features for Anomaly Detection of Defect within Random Finite Set Framework A Mansoor Kamoona, A Khodadadian Gostar, A Bab-Hadiashar, ... arXiv e-prints, arXiv: 2102.01882, 2021 | | 2021 |
| A New hybrid Cuckoo search algorithm for solving Optimization Problems AM Kamoona IEEE 2nd-AIC-MITC'17,2017 2nd-Al-Sadiq International conference on …, 2017 | | 2017 |
| Cover Table Content of: 2017 Second Al-Sadiq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)-42987 NMG Al-Saidi, MRM Said, H Mohammed, ... Social Networks 37, 42, 0 | | |
| Anomaly detection in machine vision applications AM KAMOONA RMIT University, 0 | | |
| Design of Dynamic RAM Controller Using VHDL AM Kamoona | | |
Amirali K. GostarRMIT University, Melbourne, AustraliaVerified email at rmit.edu.au
