School of Mathematics, Physics and Computing
| Type | Department/Institute |
|---|---|
| Faculty/Department | Academic Affairs |
| Head | Prof Robert Sang |
| Director of Research | Dr Nawin Raj |
| Prof Yan Li |
Latest research outputs
4056 results found
Sort by Date Title
BAIoT-EMS: Consortium network for small-medium enterprises management system with blockchain and augmented intelligence of things
Khan, Abdullah Ayub, Yang, Jing, Laghari, Asif Ali, Baqasah, Abdullah M., Alroobaea, Roobaea, Ku, Chin Soon, Alizadehsani, Roohallah, Acharya, U. Rajendra and Por, Lip Yee. 2025. "BAIoT-EMS: Consortium network for small-medium enterprises management system with blockchain and augmented intelligence of things." Engineering Applications of Artificial Intelligence. 141. https://doi.org/10.1016/j.engappai.2024.109838Article
Artificial Intelligence for Ovarian Cancer Detection with Medical Images: A Review of the Last Decade (2013–2023)
Naderi Yaghouti, Amir Reza, Shalbaf, Ahmad, Alizadehsani, Roohallah, Tan, Ru-San, Vijayananthan, Anushya, Yeong, Chai Hong and Acharya, U. Rajendra. 2025. "Artificial Intelligence for Ovarian Cancer Detection with Medical Images: A Review of the Last Decade (2013–2023)." Archives of Computational Methods in Engineering. https://doi.org/10.1007/s11831-025-10268-xArticle
Deep learning models for drought susceptibility mapping in Southeast Queensland, Australia
Rezaie, Fatemeh, Panahi, Mahdi P, Jun, Changhyun, Dayal, Kavina, Kim, Dongkyun, Darabi, Hamid, Kalantari, Zahra, Seifollahi-Aghmiuni, Samaneh, Deo, Ravinesh C. and Bateni, Sayed M.. 2025. "Deep learning models for drought susceptibility mapping in Southeast Queensland, Australia." Stochastic Environmental Research and Risk Assessment. https://doi.org/10.1007/s00477-024-02879-wArticle
Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals
Tasci, Gulay, Barua, Prabal Datta, Tanko, Dahiru, Keles, Tugce, Tas, Suat, Tuncer, Ilknur, Kaya, Suheda, Yildirim, Kubra, Talu, Yunus, Tasci, Burak, Ozsoy, Filiz, Gonen, Nida, Tasci, Irem, Dogan, Sengul and Tuncer, Turker. 2025. "Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals." Diagnostics. 15 (2). https://doi.org/10.3390/diagnostics15020154Article
Partial protection of Bacillus subtilis spores on simulated Martian media enhances survival against UV radiation
Davis, Gregory M., Greenhill, Andrew R., Munro, Thomas W., Horner, Jonathan, Marsden, Stephen C. and Carter, Bradley D.. 2025. "Partial protection of Bacillus subtilis spores on simulated Martian media enhances survival against UV radiation." Discover Space. 129 (1). https://doi.org/10.1007/s11038-025-09563-1Article
Intelligent modeling and analysis of hybrid organic Rankine plants: Data-driven insights into thermodynamic efficiency and economic viability
Tao, Hai, Aldlemy, Mohammed Suleman, Saad, Mohammed Ayad, Yeap, Swee Pin, Oudah, Atheer Y., Alawi, Omer A., Goliatt, Leonardo, Ahmad, Shamsad, Yaseen, Zaher Mundher and Deo, Ravinesh C.. 2025. "Intelligent modeling and analysis of hybrid organic Rankine plants: Data-driven insights into thermodynamic efficiency and economic viability." Engineering Applications of Artificial Intelligence. 143. https://doi.org/10.1016/j.engappai.2024.109946Article
FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection
Tuncer, Ilknur, Hafeez-Baig, Abdul, Barua, Prabal Datta, Hajiyeva, Rena, Massimo, Salvi, Dogan, Sengul, Tuncer, Turker and Acharya, U.R.. 2025. "FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection." Biomedical Signal Processing and Control. 104. https://doi.org/10.1016/j.bspc.2025.107538Article
Multimodal fusion framework based on knowledge graph for personalized recommendation
Wang, Jingjing, Xie, Haoran, Zhang, Siyu, Qin, S. Joe, Tao, Xiaohui, Wang, Fu Lee and Xu, Xiaoliang. 2025. "Multimodal fusion framework based on knowledge graph for personalized recommendation." Expert Systems with Applications. 268. https://doi.org/10.1016/j.eswa.2024.126308Article
A dual-method approach using autoencoders and transductive learning for remaining useful life estimation
Yang, Jing, Boroojeni, Nika Anoosha, Chahardeh, Mehran Kazemi, Por, Lip Yee, Alizadehsani, Roohallah and Acharya, U. Rajendra. 2025. "A dual-method approach using autoencoders and transductive learning for remaining useful life estimation." Engineering Applications of Artificial Intelligence. 147. https://doi.org/10.1016/j.engappai.2025.110285Article
EEGConvNeXt: A novel convolutional neural network model for automated detection of Alzheimer's Disease and Frontotemporal Dementia using EEG signals
Acharya, Madhav, Deo, Ravinesh C, Barua, Prabal Datta, Devi, Aruna and Tao, Xiaohui. 2025. "EEGConvNeXt: A novel convolutional neural network model for automated detection of Alzheimer's Disease and Frontotemporal Dementia using EEG signals." Computer Methods and Programs in Biomedicine. 262. https://doi.org/10.1016/j.cmpb.2025.108652Article
A Dual-Stream Deep Learning Architecture With Adaptive Random Vector Functional Link for Multi-Center Ischemic Stroke Classification
Inamdar, Mahesh Anil, Gudigar, Anjan, Raghavendra, U., Salvi, Massimo, Aman, Raja Rizal Azman Bin Raja, Muhammad Gowdh, Nadia Fareeda, Ahir, Izzah Amirah Binti Mohd, Bin Kamaruddin, Mohd Salahuddin, Kadir, Khairul Azmi Abdul, Molinari, Filippo, Hegde, Ajay, Menon, Girish R. and Acharya, U. Rajendra. 2025. "A Dual-Stream Deep Learning Architecture With Adaptive Random Vector Functional Link for Multi-Center Ischemic Stroke Classification." IEEE Access. 13, pp. 46638-46658. https://doi.org/10.1109/ACCESS.2025.3550344Article
Application of transfer learning for biomedical signals: A comprehensive review of the last decade (2014–2024)
Jafari, Mahboobeh, Tao, Xiaohui, Barua, Prabal, Tan, Ru-San and Acharya, U.Rajendra. 2025. "Application of transfer learning for biomedical signals: A comprehensive review of the last decade (2014–2024)." Information Fusion. 118. https://doi.org/10.1016/j.inffus.2025.102982Article
BrainNeXt: novel lightweight CNN model for the automated detection of brain disorders using MRI images
Poyraz, Melahat, Poyraz, Ahmet Kursad, Dogan, Yusuf, Gunes, Selva, Mir, Hasan S., Paul, Jose Kunnel, Barua, Prabal Datta, Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Molinari, Filippo and Acharya, Rajendra. 2025. "BrainNeXt: novel lightweight CNN model for the automated detection of brain disorders using MRI images." Cognitive Neurodynamics. 19 (1). https://doi.org/10.1007/s11571-025-10235-zArticle
A novel uncertainty-aware liquid neural network for noise-resilient time series forecasting and classification
Akpinar, Muhammed Halil, Atila, Orhan, Sengur, Abdulkadir, Salvi, Massimo and Acharya, U.R.. 2025. "A novel uncertainty-aware liquid neural network for noise-resilient time series forecasting and classification." Chaos, Solitons and Fractals. 193. https://doi.org/10.1016/j.chaos.2025.116130Article
TESS Giants Transiting Giants. VII. A Hot Saturn Orbiting an Oscillating Red Giant Star
Saunders, Nicholas, Grunblatt, Samuel K., Huber, Daniel, Ong, J. M. Joel, Schlaufman, Kevin C., Hey, Daniel, Li, Yaguang, Butler, R. P., Crane, Jeffrey D., Shectman, Steve, Teske, Johanna K., Quinn, Samuel N., Yee, Samuel W, Brahm, Rafael, Trifonov, Trifon, Jordan, Andrés, Henning, Thomas, Sing, David K., MacGregor, Meredith, ..., Jenkins, Jon M.. 2025. "TESS Giants Transiting Giants. VII. A Hot Saturn Orbiting an Oscillating Red Giant Star." The Astronomical Journal. 169 (2). https://doi.org/10.3847/1538-3881/ad9a87Article
A novel complexity reduction technique using visibility relationship and perpendicular distance recursive refinement for physiological signals
Atila, Orhan, Akpinar, Muhammed Halil, Sengur, Abdulkadir and Acharya, U.R.. 2025. "A novel complexity reduction technique using visibility relationship and perpendicular distance recursive refinement for physiological signals." Communications in Nonlinear Science and Numerical Simulation. 145. https://doi.org/10.1016/j.cnsns.2025.108752Article
Torque visuomotor feedback training versus standard eccentric exercise for the management of patellar tendinopathy: protocol for a randomised controlled trial
Selvamoorthy, Ragul, Arvanitidis, Michail, Negro, Francesco, Pincheira, Patricio, Evans, David and Martinez-Valdes, Eduardo. 2025. "Torque visuomotor feedback training versus standard eccentric exercise for the management of patellar tendinopathy: protocol for a randomised controlled trial." BMJ Open. 15 (2). https://doi.org/10.1136/bmjopen-2024-092104Article
Catching the wisps: Stellar mass-loss limits from low-frequency radio observations
Bloot, S., Vedantham, H. K., Kavanagh, R. D., Callingham, J. R. and Pope, B. J. S.. 2025. "Catching the wisps: Stellar mass-loss limits from low-frequency radio observations." Astronomy and Astrophysics: a European journal. 695. https://doi.org/10.1051/0004-6361/202452722Article
A BCool survey of stellar magnetic cycles
Bellotti, S., Petit, P., Jeffers, S. V., Marsden, S. C., Morin, J. C., Vidotto, A. A., Folsom, C. P., See, V. and do Nascimento Jr., J.-D.. 2025. "A BCool survey of stellar magnetic cycles." Astronomy and Astrophysics: a European journal. 693. https://doi.org/10.1051/0004-6361/202452378Article
Application of artificial intelligence in air pollution monitoring and forecasting: A systematic review
Chadalavada, Sreeni, Faust, Oliver, Salvi, Massimo, Seoni, Silvia, Raj, Nawin, Raghavendra, U., Gudigar, Anjan, Barua, Prabal Datta, Molinari, Filippo and Acharya, Rajendra. 2025. "Application of artificial intelligence in air pollution monitoring and forecasting: A systematic review." Environmental Modelling and Software. 185. https://doi.org/10.1016/j.envsoft.2024.106312Article
Electricity demand uncertainty modeling with Temporal Convolution Neural Network models
Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David, Salcedo-Sanz, Sancho, Acharya, Rajendra and Dinh, Toan. 2025. "Electricity demand uncertainty modeling with Temporal Convolution Neural Network models." Renewable and Sustainable Energy Reviews. 209. https://doi.org/10.1016/j.rser.2024.115097Article
Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach
Ghimire, Sujan, Deo, Ravinesh C., Hopf, Konstantin, Liu, Hangyue, Casillas-Perez, David, Helwig, Andreas, Prasad, Salvin S., Perez-Aracil, Jorge, Barua, Prabal Datta and Salcedo-Sanz, Sancho. 2025. "Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach." Energy and AI. 20. https://doi.org/10.1016/j.egyai.2025.100492Article
Explainable deep learning hybrid modeling framework for total suspended particles concentrations prediction
Ghimire, Sujan, Deo, Ravinesh C., Jiang, Ningbo, Ahmed, A. A. Masrur, Prasad, Salvin S., Casillas-Perez, David, Salcedo-Sanz, Sancho and Yaseen, Zaher Mundher. 2025. "Explainable deep learning hybrid modeling framework for total suspended particles concentrations prediction." Atmospheric Environment. 347. https://doi.org/10.1016/j.atmosenv.2025.121079Article
HebCGNN: Hebbian-enabled causal classification integrating dynamic impact valuing
Job, Simi, Tao, Xiaohui, Cai, Taotao, Li, Lin, Xie, Haoran, Xu, Cai and Yong, Jianming. 2025. "HebCGNN: Hebbian-enabled causal classification integrating dynamic impact valuing." Knowledge-Based Systems. 311. https://doi.org/10.1016/j.knosys.2025.113094Article
Analysis and Multi-objective Protection of Public Medical Datasets from Privacy and Utility Perspectives
Jahan, Samsad, Ge, Yong‑Feng, Kabir, Enamul and Wang, Kate. 2025. "Analysis and Multi-objective Protection of Public Medical Datasets from Privacy and Utility Perspectives." Data Science and Engineering. https://doi.org/10.1007/s41019-025-00283-0Article
Generating High Spatial and Temporal Surface Albedo with Multispectral-Wavemix and Temporal-Shift Heatmaps
Karalasingham, Sagthitharan, Deo, Ravinesh C., Raj, Nawin, Casillas-Perez, David and Salcedo-Sanz, Sancho. 2025. "Generating High Spatial and Temporal Surface Albedo with Multispectral-Wavemix and Temporal-Shift Heatmaps." Remote Sensing. 17 (3). https://doi.org/10.3390/rs17030461Article
Investigating Brain Lobe Biomarkers to Enhance Dementia Detection Using EEG Data
Siuly, Siuly, Tawhid, Md.Nurul Ahad, Li, Yan, Acharya, Rajendra, Sadiq, Muhammad Tariq and Wang, Hua. 2025. "Investigating Brain Lobe Biomarkers to Enhance Dementia Detection Using EEG Data." Cognitive Computation. 17 (2). https://doi.org/10.1007/s12559-025-10447-9Article
Explainable hybrid deep learning framework for enhancing multi-step solar ultraviolet-B radiation predictions
Prasad, Salvin S., Joseph, Lionel P., Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J., Acharya, Rajendra and Yaseen, Zaher M.. 2025. "Explainable hybrid deep learning framework for enhancing multi-step solar ultraviolet-B radiation predictions." Atmospheric Environment. 343. https://doi.org/10.1016/j.atmosenv.2024.120951Article
Perceived MOOC satisfaction: A review mining approach using machine learning and fine-tuned BERTs
Chen, Xieling, Xie, Haoran, Zou, Di, Cheng, Gary, Tao, Xiaohui and Wang, Fu Lee. 2025. "Perceived MOOC satisfaction: A review mining approach using machine learning and fine-tuned BERTs." Computers and Education: Artificial Intelligence. 8. https://doi.org/10.1016/j.caeai.2025.100366Article
A computational analysis of aspect-based sentiment analysis research through bibliometric mapping and topic modeling
Chen, Xieling, Xie, Haoran, Tao, Xiaohui, Wang, Fu Lee, Zhang, Dian and Dai, Hong-Ning. 2025. "A computational analysis of aspect-based sentiment analysis research through bibliometric mapping and topic modeling." Journal of Big Data. 12 (1). https://doi.org/10.1186/s40537-025-01068-yArticle
Happiness Prediction With Domain Knowledge Integration and Explanation Consistency
Wu, Xiaohua, Li, Lin, Tao, Xiaohui, Xing, Frank and Yuan, Jingling. 2025. "Happiness Prediction With Domain Knowledge Integration and Explanation Consistency." IEEE Transactions on Computational Social Systems. https://doi.org/10.1109/TCSS.2025.3529946Article
Towards the Explanation Consistency of Citizen Groups in Happiness Prediction via Factor Decorrelation
Wu, Xiaohua, Li, Lin, Tao, Xiaohui, Yuan, Jingling and Xie, Haoran. 2025. "Towards the Explanation Consistency of Citizen Groups in Happiness Prediction via Factor Decorrelation." IEEE Transactions on Emerging Topics in Computational Intelligence. 9 (2), pp. 1392-1405. https://doi.org/10.1109/TETCI.2025.3537918Article
Preserving privacy in healthcare: A systematic review of deep learning approaches for synthetic data generation
Li, Yintong, Acharya, U. Rajendra and Tan, Jen Hong. 2025. "Preserving privacy in healthcare: A systematic review of deep learning approaches for synthetic data generation." Computer Methods and Programs in Biomedicine. 260. https://doi.org/10.1016/j.cmpb.2024.108571Article
SGDM-GRU: Spectral Graph Deep Learning Based Gated Recurrent Unit Model for Accurate Fake News Detection
Sahi, Aqeel, Albdair, Mostfa, Diykh, Mohammed, Abdulla, Shahab, Alghayab, Hadi, Aljebur, Kaled and Alkhafaji, Sarmad K.D.. 2025. "SGDM-GRU: Spectral Graph Deep Learning Based Gated Recurrent Unit Model for Accurate Fake News Detection." Expert Systems with Applications. 281. https://doi.org/10.1016/j.eswa.2025.127572Article
Secured Multi-Objective Optimisation-Based Protocol for Reliable Data Transmission in Underwater Wireless Sensor Networks
Sahi, A.. 2025. "Secured Multi-Objective Optimisation-Based Protocol for Reliable Data Transmission in Underwater Wireless Sensor Networks." Mesopotamian Journal of Cyber Security. 5 (1), p. 216–239. https://doi.org/10.58496/MJCS/2025/015Article
Nonparametric Bootstrap Likelihood Estimation to Investigate the Chance Set-up on Clustering Results
Elnour, Ammar, Yang, Wencheng and Li, Yan. 2025. "Nonparametric Bootstrap Likelihood Estimation to Investigate the Chance Set-up on Clustering Results." IEEE Open Journal of the Computer Society. 6, pp. 438-448. https://doi.org/10.1109/OJCS.2025.3545261Article
The Starspots and Magnetic Fields of Young Late-F Stars
Hughes, James Edward. 2025. The Starspots and Magnetic Fields of Young Late-F Stars. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/zwx0yPhD Thesis
Men in Mental Health: A Scoping Review of Challenges, Contributions, and Future Possibilities of Recruiting into Nursing
Reedy, Natasha, Luyke, Trish, McGregor, Rowena, King, Rachel, Dawson, Rhonda, Robinson, Brendon and Terry, Daniel. 2025. "Men in Mental Health: A Scoping Review of Challenges, Contributions, and Future Possibilities of Recruiting into Nursing." Nursing Reports. 15 (3). https://doi.org/10.3390/nursrep15030097Article
Ship waves on an elastic floating ice plate
Badulin, Sergei, Gnevyshev, Vladimir and Stepanyants, Yury. 2025. "Ship waves on an elastic floating ice plate." Physical Review Fluids. 10. https://doi.org/10.1103/PhysRevFluids.10.034801Article
Layered Model Stacking: Enhancing DDoS Detection Through Advanced Ensemble Machine Learning Techniques
Haddad, Nabeel Mahdy, Sahi, Aqeel, Diykh, Mohammed, Aljbur, Kaled, Kutfan, Ali, Abdulla, Shahab and Al-Hraishawi, Hayder. 2025. "Layered Model Stacking: Enhancing DDoS Detection Through Advanced Ensemble Machine Learning Techniques ." Chen, F. (ed.) 2024 IEEE Region 10 Conference (TENCON 2024). Singapore 01 - 04 Dec 2024 IEEE. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/TENCON61640.2024.10902823Paper
496798
total views162058
total downloads36360
views this month9071
downloads this month