School of Science, Engineering & Digital Technologies- Maths,Physics & Computing
| Type | School/Centre |
|---|---|
| Director of Research | Prof Polly Burey |
| Parent | School of Science, Engineering and Digital Technologies |
| Head | Prof Robert Sang |
Latest research outputs
2159 results found
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Socio-demographic factors and mental health trajectories in Australian children and primary carers: Implications for policy and intervention using latent class analysis
Afroz, Nahida, Kabir, Enamul and Alam, Khorshed. 2024. "Socio-demographic factors and mental health trajectories in Australian children and primary carers: Implications for policy and intervention using latent class analysis." Applied Psychology: Health and Well-Being. 16 (4), pp. 2147-2168. https://doi.org/10.1111/aphw.12584Article
Prediction of Sea Level Using Double Data Decomposition and Hybrid Deep Learning Model for Northern Territory, Australia
Raj, Nawin, Murali, Jaishukh, Singh-Peterson, Lila and Downs, Nathan. 2024. "Prediction of Sea Level Using Double Data Decomposition and Hybrid Deep Learning Model for Northern Territory, Australia." Mathematics. 12 (15). https://doi.org/10.3390/math12152376Article
Characterising Exoplanets Using Ground-based & Space-based Facilities
Lowson, Nataliea. 2024. Characterising Exoplanets Using Ground-based & Space-based Facilities. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z8v0yPhD by Publication
William Dawes: Scientist, Governor, Abolitionist: Caught Between Science and Religion, by Richard de Grijs and Andrew Jacob
Lomb, Nick. 2024. "William Dawes: Scientist, Governor, Abolitionist: Caught Between Science and Religion, by Richard de Grijs and Andrew Jacob." Journal of Astronomical History and Heritage. 27 (1), pp. 228-230. https://doi.org/10.3724/SP.J.1440-2807.2024.01.18Book review
ELRL-MD: a deep learning approach for myocarditis diagnosis using cardiac magnetic resonance images with ensemble and reinforcement learning integration
Kasmaee, Adele Mirzaee Moghaddam, Ataei, Alireza, Moravvej, Seyed Vahid, Alizadehsani, Roohallah, Gorriz, Juan M, Zhang, Yu-Dong, Tan, Ru-San and Acharya, U Rajendra A. 2024. "ELRL-MD: a deep learning approach for myocarditis diagnosis using cardiac magnetic resonance images with ensemble and reinforcement learning integration." Physiological Measurement. 45 (5). https://doi.org/10.1088/1361-6579/ad46e2Article
Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics
Hu, Kaixi, Li, Lin, Xie, Qing, Liu, Jianquan, Tao, Xiaohui and Xu, Guandong. 2024. "Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics." ACM Transactions on Information Systems. 42 (3), pp. 1-35. https://doi.org/10.1145/3632403Article
Identification of the Top TESS Objects of Interest for Atmospheric Characterization of Transiting Exoplanets with JWST
Hord, Benjamin J., Kempton, Eliza M.-R, Evans-Soma, Thomas M., Latham, David W., Ciardi, David R., Dragomir, Diana, Colon, Knicole D., Ross, Gabrielle, Vanderburg, Andrew, de Beurs, Zoe L., Collins, Karen A., Watkins, Cristilyn N., Bean, Jacob, Cowan, Nicolas B., Daylan, Tansu, Morley, Caroline V., Ih, Jegug, Baker, David, Barkaoui, Khalid, ..., Zucker, Shay. 2024. "Identification of the Top TESS Objects of Interest for Atmospheric Characterization of Transiting Exoplanets with JWST." The Astronomical Journal. 167 (5). https://doi.org/10.3847/1538-3881/ad3068Article
Lattice 123 pattern for automated Alzheimer's detection using EEG signal
Dogan, Sengul, Barua, Prabal Datta, Baygin, Mehmet, Tuncer, Turker, Tan, Ru-San, Ciaccio, Edward J., Fujita, Hamido, Devi, Aruna and Acharya, U. Rajendra. 2024. "Lattice 123 pattern for automated Alzheimer's detection using EEG signal." Cognitive Neurodynamics. 18, pp. 2503-2519. https://doi.org/10.1007/s11571-024-10104-1Article
Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013-2023)
Akpinar, Muhammed Halil, Sengur, Abdulkadir, Faust, Oliver, Tong, Louis, Molinari, Filippo and Acharya, U. Rajendra. 2024. "Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013-2023)." Computer Methods and Programs in Biomedicine. 254. https://doi.org/10.1016/j.cmpb.2024.108253Article
MLOps-Enabled Security Strategies for Next-Generation Operational Technologies
Ahmad, Tazeem, Adnan, Mohd, Rafi, Saima, Akbar, Muhammad Azeem and Anwar, Ayesha. 2024. "MLOps-Enabled Security Strategies for Next-Generation Operational Technologies." 28th International Conference on Evaluation and Assessment in Software Engineering (EASE '24). Salerno, Italy 18 - 21 Jun 2024 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3661167.3661283Paper
Highly localized horseshoe ripplons and solitons in positive dispersion media
Zhang, Zhao, Guo, Qi and Stepanyants, Yury. 2024. "Highly localized horseshoe ripplons and solitons in positive dispersion media." Wave Motion. 128. https://doi.org/10.1016/j.wavemoti.2024.103326Article
Advancing face detection efficiency: Utilizing classification networks for lowering false positive incidences
Zhang, Jianlin, Hou, Chen, Yang, Xu, Yang, Xuechao, Yang, Wencheng and Cui, Hui. 2024. "Advancing face detection efficiency: Utilizing classification networks for lowering false positive incidences." Array. 22. https://doi.org/10.1016/j.array.2024.100347Article
ConIS: controllable text-driven image stylization with semantic intensity
Yang, Gaoming, Li, Changgeng and Zhang, Ji. 2024. "ConIS: controllable text-driven image stylization with semantic intensity." Multimedia Systems. 30 (4). https://doi.org/10.1007/s00530-024-01381-1Article
Enhancing strategic deployment of baiting transects for invasive species control – a case study for feral pig baiting in north-eastern Australia
Wilson, Cameron, Gentle, Matthew and Marshall, Darren. 2024. "Enhancing strategic deployment of baiting transects for invasive species control – a case study for feral pig baiting in north-eastern Australia." Wildlife Research. 51 (4). https://doi.org/10.1071/WR23115Article
FLP: Factor lattice pattern-based automated detection of Parkinson's disease and specific language impairment using recorded speech
Tuncer, Turker, Dogan, Sengul, Baygin, Mehmet, Barua, Prabal Datta, Palmer, Elizabeth Emma, March, Sonja, Ciaccio, Edward J., Tan, Ru-San and Acharya, U. Rajendra. 2024. "FLP: Factor lattice pattern-based automated detection of Parkinson's disease and specific language impairment using recorded speech." Computers in Biology and Medicine. 173. https://doi.org/10.1016/j.compbiomed.2024.108280Article
A lightweight deep convolutional neural network model for skin cancer image classification
Tuncer, Turker, Barua, Prabal Datta, Tuncer, Ilknur, Dogan, Sengul and Acharya, U. Rajendra. 2024. "A lightweight deep convolutional neural network model for skin cancer image classification." Applied Soft Computing. 162. https://doi.org/10.1016/j.asoc.2024.111794Article
An efficient Parkinson's disease detection framework: Leveraging time-frequency representation and AlexNet convolutional neural network
Siuly, Siuly, Khare, Smith K., Kabir, Enamul, Sadiq, Muhammad Tariq and Wang, Hua. 2024. "An efficient Parkinson's disease detection framework: Leveraging time-frequency representation and AlexNet convolutional neural network." Computers in Biology and Medicine. 174. https://doi.org/10.1016/j.compbiomed.2024.108462Article
Special issue on link prediction in complex networks
Sheng, Michael, Cai, Taotao and Mahmood, Adnan. 2024. "Special issue on link prediction in complex networks." Computing. 106 (7), pp. 2079-2079. https://doi.org/10.1007/s00607-024-01298-7Editorial
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approach
Sharifrazi, Danial, Javed, Nouman, Alizadehsani, Roohallah, Paradkar, Prasad N., Acharya, U. Rajendra and Bhatti, Asim. 2024. "Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approach." Biomedical Signal Processing and Control. 96 (Part B). https://doi.org/10.1016/j.bspc.2024.106594Article
Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence
Shaik, Thanveer, Tao, Xiaohui, Xie, Haoran, Li, Lin, Yong, Jianming and Li, Yuefeng. 2024. "Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence." IEEE Transactions on Emerging Topics in Computational Intelligence. 8 (4), pp. 2908-2918. https://doi.org/10.1109/TETCI.2024.3398024Article
All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems
Seoni, Silvia, Shahini, Alen, Meiburger, Kristen M., Marzola, Francesco, Rotunno, Giulia, Acharya, U. Rajendra, Molinari, Filippo and Salvi, Massimo. 2024. "All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems." Computer Methods and Programs in Biomedicine. 250. https://doi.org/10.1016/j.cmpb.2024.108200Article
Erdos: A Novel Blockchain Consensus Algorithm with Equitable Node Selection and Deterministic Block Finalization
Sello, Buti, Yong, Jianming and Tao, Xiaohui. 2024. "Erdos: A Novel Blockchain Consensus Algorithm with Equitable Node Selection and Deterministic Block Finalization." Data Science and Engineering. 9, pp. 361-377. https://doi.org/10.1007/s41019-024-00251-0Article
Harnessing machine learning for EEG signal analysis: Innovations in depth of anaesthesia assessment
Schmierer, Thomas, Li, Tianning and Li, Yan. 2024. "Harnessing machine learning for EEG signal analysis: Innovations in depth of anaesthesia assessment." Artificial Intelligence in Medicine. 151. https://doi.org/10.1016/j.artmed.2024.102869Article
The TESS-Keck Survey. XII. A Dense 1.8 R⊕ Ultra-short-period Planet Possibly Clinging to a High-mean-molecular-weight Atmosphere after the First Gigayear
Rubenzahl, Ryan A., Dai, Fei, Howard, Andrew W., Lissauer, Jack J., Van Zandt, Judah, Beard, Corey, Giacalone, Steven, Akana Murphy, Joseph M., Chontos, Ashley, Lubin, Jack, Brinkman, Casey L., Tyler, Dakotah, MacDougall, Mason G., Rice, Malena, Dalba, Paul A., Mayo, Andrew W., Weiss, Lauren M., Polanski, Alex S., Blunt, Sarah, ..., Pedani, Marco. 2024. "The TESS-Keck Survey. XII. A Dense 1.8 R⊕ Ultra-short-period Planet Possibly Clinging to a High-mean-molecular-weight Atmosphere after the First Gigayear ." The Astronomical Journal. 167 (4). https://doi.org/10.3847/1538-3881/ad28bbArticle
Atmospheric Visibility and Cloud Ceiling Predictions With Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji's Aviation Industry
Raj, Shiveel, Deo, Ravinesh C., Sharma, Ekta, Prasad, Ramendra, Dinh, Toan and Salcedo-sanz, Sancho. 2024. "Atmospheric Visibility and Cloud Ceiling Predictions With Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji's Aviation Industry." IEEE Access. 12, pp. 72530-72543. https://doi.org/10.1109/ACCESS.2024.3401091Article
Role of internet use, mobile phone, media exposure and domestic migration on reproductive health service use in Bangladeshi married adolescents and young women
Pickard, Anita, Islam, Md Irteja, Ahmed, Md Sabbir and Martiniuk, Alexandra. 2024. "Role of internet use, mobile phone, media exposure and domestic migration on reproductive health service use in Bangladeshi married adolescents and young women." PLoS Global Public Health. 4 (3). https://doi.org/10.1371/journal.pgph.0002518Article
Editorial: Education in public health: 2022
Orlando, Stefano, Kabir, Enamul, Harver, Andrew and Hu, Jie. 2024. "Editorial: Education in public health: 2022." Frontiers in Public Health. 12. https://doi.org/10.3389/fpubh.2024.1385350Editorial
Chaotic opposition Golden Sinus Algorithm for global optimization problems
Olmez, Yagmur, Koca, Gonca Ozmen, Sengur, Abdulkadir and Acharya, U. Ranjendra. 2024. "Chaotic opposition Golden Sinus Algorithm for global optimization problems." Chaos, Solitons and Fractals. 183. https://doi.org/10.1016/j.chaos.2024.114869Article
Lightweight federated learning for STIs/HIV prediction
Nguyen, Thi Phuoc Van, Yang, Wencheng, Tang, Zhaohui, Xia, Xiaoyu, Mullens, Amy B., Dean, Judith A. and Li, Yan. 2024. "Lightweight federated learning for STIs/HIV prediction." Scientific Reports. 14 (1). https://doi.org/10.1038/s41598-024-56115-0Article
A cohort study on the predictive capability of body composition for diabetes mellitus using machine learning
Nematollahi, Mohammad Ali, Askarinejad, Amir, Asadollahi, Arefeh, Bazrafshan, Mehdi, Sarejloo, Shirin, Moghadami, Mana, Sasannia, Sarvin, Farjam, Mojtaba, Homayounfar, Reza, Pezeshki, Babak, Amini, Mitra, Roshanzamir, Mohamad, Alizadehsani, Roohallah, Bazrafshan, Hanieh, Bazrafshan drissi, Hamed, Tan, Ru-San, Acharya, U. Rajendra and Islam, Mohammed Shariful Sheikh. 2024. "A cohort study on the predictive capability of body composition for diabetes mellitus using machine learning." Journal of Diabetes and Metabolic Disorders. 23 (1), pp. 773-781. https://doi.org/10.1007/s40200-023-01350-xArticle
Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework
Nasarian, Elham, Alizadehsani, Roohallah, Acharya, U.Rajendra and Tsui, Kwok-Leung. 2024. "Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework." Information Fusion. 108. https://doi.org/10.1016/j.inffus.2024.102412Article
Variable Curvature Gabor Convolution and Multi-Branch Structures for Finger Vein Recognition
Li, Jun, Wang, Huabin, Wei, Shicheng, Zhou, Jian, Shen, Yuankang and Tao, Liang. 2024. "Variable Curvature Gabor Convolution and Multi-Branch Structures for Finger Vein Recognition." IEEE Transactions on Artificial Intelligence. 5 (9), pp. 4753-4764. https://doi.org/10.1109/TAI.2024.3397293Article
20 years of Web Intelligence: Call for a new era of AI in the Connected World
Kuai, Hongzhi and Tao, Xiaohui. 2024. "20 years of Web Intelligence: Call for a new era of AI in the Connected World." Web Intelligence. 22 (1), pp. 1-4. https://doi.org/10.3233/WEB-230451Editorial
Never-Ending Learning for Explainable Brain Computing
Kuai, Hongzhi, Chen, Jianhui, Tao, Xiaohui, Cai, Lingyun, Imamura, Kazuyuki, Matsumoto, Hiroki, Liang, Peipeng and Zhong, Ning. 2024. "Never-Ending Learning for Explainable Brain Computing." Advanced Science. 11 (24). https://doi.org/10.1002/advs.202307647Article
DSWIN: Automated hunger detection model based on hand-crafted decomposed shifted windows architecture using EEG signals
Kirik, Serkan, Tasci, Irem, Barua, Prabal D., Yildiz, Arif Metehan, Keles, Tugce, Baygin, Mehmet, Tuncer, Ilknur, Dogan, Sengul, Tuncer, Turker, Devi, Aruna, Tan, Ru-San and Acharya, U.R.. 2024. "DSWIN: Automated hunger detection model based on hand-crafted decomposed shifted windows architecture using EEG signals." Knowledge-Based Systems. 300. https://doi.org/10.1016/j.knosys.2024.112150Article
A Perfect Tidal Storm: HD 104067 Planetary Architecture Creating an Incandescent World
Kane, Stephen R., Fetherolf, Tara, Li, Zhexing, Polanski, Alex S., Howard, Andrew W., Isaacson, Howard, Mocnik, Teo and Welter, Sadie G.. 2024. "A Perfect Tidal Storm: HD 104067 Planetary Architecture Creating an Incandescent World." The Astronomical Journal. 167 (5). https://doi.org/10.3847/1538-3881/ad3820Article
Exploring the prevalence of depression, anxiety, and stress among university students in Bangladesh and their determinants
Kamruzzaman, Md., Hossain, Ahammad, Islam, Md. Aminul, Ahmed, Md. Shakil, Kabir, Enamul and Khan, Md. Nuruzzaman. 2024. "Exploring the prevalence of depression, anxiety, and stress among university students in Bangladesh and their determinants." Clinical Epidemiology and Global Health. 28. https://doi.org/10.1016/j.cegh.2024.101677Article
Transfer learning with spinally shared layers
Kabir, H.M. Dipu, Mondal, Subrota Kumar, Alam, Syed Bahauddin and Acharya, U. Rajendra. 2024. "Transfer learning with spinally shared layers." Applied Soft Computing. 163, pp. -. https://doi.org/10.1016/j.asoc.2024.111908Article
Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning
Job, Simi, Tao, Xiaohui, Li, Lin, Xie, Haoran, Cai, Taotao, Yong, Jianming and Li, Qing. 2024. "Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning ." ACM Transactions on Intelligent Systems and Technology. 15 (2), pp. 1-22. https://doi.org/10.1145/3643856Article
Mental health in children conceived by Assisted Reproductive Technologies (ARTs): Insights from a longitudinal study of Australian children
Islam, Md. Irteja, Chaffey, Oscar A., Chadwick, Verity and Martiniuk, Alexandra. 2024. "Mental health in children conceived by Assisted Reproductive Technologies (ARTs): Insights from a longitudinal study of Australian children." PLoS One. 19 (6). https://doi.org/10.1371/journal.pone.0304213Article
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