Niusha Shafiabady
| Contact category | Researcher |
|---|---|
| Job title | Associate Professor |
| Research institute | Peter Faber Business School |
| Faculty of Law and Business |
Research outputs
Real-time structural health monitoring of bridges using convolutional neural network-based loss factor analysis for enhanced energy dissipation detection
Nguyen, Thanh Q., Vu, Tu B., Shafiabady, Niusha, Nguyen, Thuy T. and Nguyen, Phuoc T.. (2024). Real-time structural health monitoring of bridges using convolutional neural network-based loss factor analysis for enhanced energy dissipation detection. Structures. 70, p. Article 107733. https://doi.org/10.1016/j.istruc.2024.107733Journal article
Comparative study of ten machine learning algorithms for short-term forecasting in gas warning systems
Wu, Robert M.X., Shafiabady, Niusha, Zhang, Huan, Lu, Haiyan, Gide, Ergun, Liu, Jinrong and Charbonnier, Clement Franck Benoit. (2024). Comparative study of ten machine learning algorithms for short-term forecasting in gas warning systems. Scientific Reports. 14(1), pp. 1-18. https://doi.org/10.1038/s41598-024-67283-4Journal article
eXplainable Artificial Intelligence (XAI) for improving organisational regility
Shafiabady, Niusha, Hadjinicolaou, Nick, Hettikankanamage, Nadeesha, MohammadiSavadkoohi, Ehsan, Wu, Robert M. X. and Vakilian, James. (2024). eXplainable Artificial Intelligence (XAI) for improving organisational regility. PLoS ONE. 19(4), p. Article e0301429. https://doi.org/10.1371/journal.pone.0301429Journal article
Efficient energy utilization in smart grids an artificial intelligence perspective
Qadir, Zakria, Khan, Yasir Ali, Rana, Muhammad Tausif Afzal, Din, Fareed Ud and Shafiabady, Niusha. (2025). Efficient energy utilization in smart grids an artificial intelligence perspective. In In Bhatia, Tarandeep Kaur, El Hajjami, Salma, Kaushik, Keshav, Diallo, Gayo, Ouaissa, Mariya and Khan, Inam Ullah (Ed.). Ethical artificial intelligence in power electronics pp. 133-147 CRC Press. https://doi.org/10.1201/9781032648323-9Book chapter
V-CarE—A conceptual conceptual design model for providing COVID-19 pandemic awareness : Proposal for a virtual reality design approach to facilitate people with persistent postural-perceptual dizziness
Zaidi, Syed Fawad M., Shafiabady, Niusha, Afifi, Shereen and Beilby, Justin. (2023). V-CarE—A conceptual conceptual design model for providing COVID-19 pandemic awareness : Proposal for a virtual reality design approach to facilitate people with persistent postural-perceptual dizziness. JMIR Research Protocols. 12, p. Article e38369. https://doi.org/10.2196/38369Journal article
An FSV analysis approach to verify the robustness of the triple-correlation analysis theoretical framework
Wu, Robert M. X., Zhang, Zhongwu, Zhang, Huan, Wang, Yongwen, Shafiabady, Niusha, Yan, Wanjun, Gou, Jinwen, Gide, Ergun and Zhang, Siqing. (2023). An FSV analysis approach to verify the robustness of the triple-correlation analysis theoretical framework. Scientific Reports. 13(1), p. Article 9621. https://doi.org/10.1038/s41598-023-35900-3Journal article
Identifying presence of cybersickness symptoms using AI-based predictive learning algorithms
Zaidi, Syed Fawad M., Shafiabady, Niusha and Beilby, Justin. (2023). Identifying presence of cybersickness symptoms using AI-based predictive learning algorithms. Virtual Reality. 27(4), pp. 3613-3620. https://doi.org/10.1007/s10055-023-00813-zJournal article
Using Artificial Intelligence (AI) to predict organizational agility
Shafiabady, Niusha, Hadjinicolaou, Nick, Din, Fareed Ud, Bhandari, Binayak, Wu, Robert M. X. and Vakilian, James. (2023). Using Artificial Intelligence (AI) to predict organizational agility. PLoS ONE. 18(5), p. Article e0283066. https://doi.org/10.1371/journal.pone.0283066Journal article
Implementation of transformer-based deep learning architecture for the development of surface roughness classifier using sound and cutting force signals
Bhandari, Binayak, Park, Gijun and Shafiabady, Niusha. (2023). Implementation of transformer-based deep learning architecture for the development of surface roughness classifier using sound and cutting force signals. Neural Computing and Applications. 35(18), pp. 13275-13292. https://doi.org/10.1007/s00521-023-08425-zJournal article
Using multi-focus group method as an effective tool for eliciting business system requirements : Verified by a case study
Wu, Robert M. X., Wang, Yongwen, Shafiabady, Niusha, Zhang, Huan, Yan, Wanjun, Gou, Jinwen, Shi, Yong, Liu, Bao, Gide, Ergun, Kang, Changlong, Zhang, Zhongwu, Shen, Bo, Li, Xiaoquan, Fan, Jianfeng, He, Xiangqian, Soar, Jeffrey, Zhao, Haijun, Sun, Lei, Huo, Wenying and Wang, Ya. (2023). Using multi-focus group method as an effective tool for eliciting business system requirements : Verified by a case study. PLoS ONE. 18(3), p. Article e0281603. https://doi.org/10.1371/journal.pone.0281603Journal article
Evolving Hybrid partial genetic algorithm classification model for cost-effective frailty screening : Investigative study
Oates, John, Shafiabady, Niusha, Ambagtsheer, Rachel, Beilby, Justin, Seiboth, Chris and Dent, Elsa. (2022). Evolving Hybrid partial genetic algorithm classification model for cost-effective frailty screening : Investigative study. JMIR Aging. 5(4), p. Article e38464. https://doi.org/10.2196/38464Journal article
ST (Shafiabady-Teshnehlab) optimization algorithm
Shafiabady, Niusha. (2018). ST (Shafiabady-Teshnehlab) optimization algorithm. In In Tan, Ying (Ed.). Swarm intelligence : Volume 2 : Innovation, new algorithms and methods pp. 83-110 The Institution of Engineering and Technology. https://doi.org/10.1049/pbce119g_ch4Book chapter
The application of artificial intelligence (AI) techniques to identify frailty within a residential aged care administrative data set
Ambagtsheer, R. C., Shafiabady, N., Dent, E., Seiboth, C. and Beilby, J.. (2020). The application of artificial intelligence (AI) techniques to identify frailty within a residential aged care administrative data set. International Journal of Medical Informatics. 136, p. Article 104094. https://doi.org/10.1016/j.ijmedinf.2020.104094Journal article
Acute effects of methadone on EEG power spectrum and event-related potentials among heroin dependents
Motlagh, Farid, Ibrahim, Fatimah, Rashid, Rusdi, Shafiabady, Niusha, Seghatoleslam, Tahereh and Habil, Hussain. (2018). Acute effects of methadone on EEG power spectrum and event-related potentials among heroin dependents. Psychopharmacology. 235(11), pp. 3273-3288. https://doi.org/10.1007/s00213-018-5035-0Journal article
80
total views of outputs13
total downloads of outputs16
views of outputs this month7
downloads of outputs this month