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
4045 results found
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Hybrid Deep Learning Model for Wave Height Prediction in Australia's Wave Energy Region
Ahmed, Abul Abrar Masrur, Jui, S Janifer Jabin, AL-Musaylh, Mohanad S., Raj, Nawin, Saha, Reepa, Deo, Ravinesh C and Saha, Sanjoy Kumar. 2024. "Hybrid Deep Learning Model for Wave Height Prediction in Australia's Wave Energy Region." Applied Soft Computing. 150. https://doi.org/10.1016/j.asoc.2023.111003Article
Public opinion on COVID-19 pandemic in Bangladesh: Disruption to public lives and trust in government’s immunization performance
Biswas, Raaj Kishore, Afiaz, Awan, Huq, Samin, Farzana, Maysha and Kabir, Enamul. 2024. "Public opinion on COVID-19 pandemic in Bangladesh: Disruption to public lives and trust in government’s immunization performance." International Journal of Health Planning and Management. 39 (1), pp. 119-134. https://doi.org/10.1002/hpm.3721Article
Incremental Maximal Clique Enumeration for Hybrid Edge Changes in Large Dynamic Graphs
Yu, Ting, Jiang, Ting, Bah, Mohamed Jaward, Zhao, Chen, Huang, Hao, Liu, Mengchi, Zhou, Shuigeng, Li, Zhao and Zhang, Ji. 2024. "Incremental Maximal Clique Enumeration for Hybrid Edge Changes in Large Dynamic Graphs." IEEE Transactions on Knowledge and Data Engineering. 36 (4), pp. 1650-1666. https://doi.org/10.1109/TKDE.2023.3311398Article
Pyramid style-attentional network for arbitrary style transfer
Yang, Gaoming, Zhang, Shicheng, Fang, Xianjin and Zhang, Ji. 2024. "Pyramid style-attentional network for arbitrary style transfer." Multimedia Tools and Applications. 83 (5), pp. 3483-13502. https://doi.org/10.1007/s11042-023-15650-0Article
Toward Learning Joint Inference Tasks for IASS-MTS Using Dual Attention Memory With Stochastic Generative Imputation
Wang, Zhen, Zhang, Yang, Pang, Yan, Wang, Nannan, Bah, Mohamed Jaward, Li, Ke and Zhang, Ji. 2024. "Toward Learning Joint Inference Tasks for IASS-MTS Using Dual Attention Memory With Stochastic Generative Imputation." IEEE Transactions on Neural Networks and Learning Systems. 35 (12), pp. 17504-7518. https://doi.org/10.1109/TNNLS.2023.3305542Article
A graph-powered large-scale fraud detection system
Li, Zhao, Wang, Biao, Huang, Jiaming, Jin, Yilun, Xu, Zenghui, Zhang, Ji and Gao, Jianliang. 2024. "A graph-powered large-scale fraud detection system." International Journal of Machine Learning and Cybernetics. 15 (1), p. 115–128. https://doi.org/10.1007/s13042-023-01786-wArticle
Class-Level Logit Perturbation
Li, Mengyang, Su, Fengguang, Wu, Ou and Zhang, Ji. 2024. "Class-Level Logit Perturbation." IEEE Transactions on Neural Networks and Learning Systems. 35 (10), pp. 13926-13940. https://doi.org/10.1109/TNNLS.2023.3273355Article
Automated stenosis classification on invasive coronary angiography using modified dual cross pattern with iterative feature selection
Kobat, Mehmet Ali, Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Kivrak, Tarik, Akin, Yusuf, Bairy, G. Muralidhar, Tan, Ru‑San and Acharya, U. Rajendra. 2024. "Automated stenosis classification on invasive coronary angiography using modified dual cross pattern with iterative feature selection." Multimedia Tools and Applications. 83 (12), pp. 35957-35977. https://doi.org/10.1007/s11042-023-16697-9Article
CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection
Gao, Jianliang, Chen, Jiamin, Oloulade, Babatounde Moctard, Al-Sabri, Raeed, Lyu, Tengfei, Zhang, Ji and Li, Zhao. 2024. "CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection." IEEE Transactions on Emerging Topics in Computing. 12 (2), pp. 444-454. https://doi.org/10.1109/TETC.2023.3270181Article
Novel automated detection of sports activities using shadow videos
Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Ooi, Chui Ping and Acharya, Rajendra U.. 2024. "Novel automated detection of sports activities using shadow videos." Multimedia Tools and Applications. 83 (15), pp. 44933-44954. https://doi.org/10.1007/s11042-023-17407-1Article
ExDarkLBP: a hybrid deep feature generation-based genetic malformation detection using facial images
Barua, Prabal Datta, Kirik, Serkan, Dogan, Sengul, Koc, Canan, Ozkaynak, Fatih, Baygin, Mehmet, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2024. "ExDarkLBP: a hybrid deep feature generation-based genetic malformation detection using facial images." Multimedia Tools and Applications. 83 (13), pp. 39823-39840. https://doi.org/10.1007/s11042-023-17057-3Article
Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection system
Tatli, Sinan, Macin, Gulay, Tasci, Irem, Barua, Prabal Datta, Baygin, Mehmet, Tuncer, Turker, Dogan, Sengul, Ciaccio, Edward J. and Acharya, U. Rajendra. 2024. "Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection system." Expert Systems with Applications. 236. https://doi.org/10.1016/j.eswa.2023.121314Article
An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet-based entropy features
Sharma, Manish, Bhurane,Ankit A. and Acharya, U. Rajendra. 2024. "An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet-based entropy features." Expert Systems: the journal of knowledge engineering. 41 (5). https://doi.org/10.1111/exsy.12939Article
Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations
Khare, Smith K., Blanes-Vidal, Victoria, Nadimi, Esmaeil S. and Acharya, U. Rajendra. 2024. "Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations." Information Fusion. 102. https://doi.org/10.1016/j.inffus.2023.102019Article
Automated characterization and detection of fibromyalgia using slow wave sleep EEG signals with glucose pattern and D’hondt pooling technique
Aksalli, Isil Karabey, Baygin, Nursena, Hagiwara, Yuki, Paul, Jose Kunnel, Iype, Thomas, Barua, Prabal Datta, Koh, Joel E. W., Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker and Acharya, U. Rajendra. 2024. "Automated characterization and detection of fibromyalgia using slow wave sleep EEG signals with glucose pattern and D’hondt pooling technique." Cognitive Neurodynamics. 18 (1), pp. 283-404. https://doi.org/10.1007/s11571-023-10005-9Article
Monthly sodium adsorption ratio forecasting in rivers using a dual interpretable glass-box complementary intelligent system: Hybridization of ensemble TVF-EMD-VMD, Boruta-SHAP, and eXplainable GPR
Jamei, Mehdi, Ali, Mumtaz, Karbasi, Masoud, Karimi, Bakhtiar, Jahannemaei, Neshat, Farooque, Aitazaz Ahsan and Yaseen, Zaher Mundher. 2024. "Monthly sodium adsorption ratio forecasting in rivers using a dual interpretable glass-box complementary intelligent system: Hybridization of ensemble TVF-EMD-VMD, Boruta-SHAP, and eXplainable GPR." Expert Systems with Applications. 237 (Part B). https://doi.org/10.1016/j.eswa.2023.121512Article
Automated accurate emotion classification using Clefia pattern-based features with EEG signals
Dogan, Abdullah, Barua, Prabal Datta, Baygin, Mehmet, Tuncer, Turker, Dogan, Sengul, Yaman, Orhan, Dogru, Ali Hikmet and Acharya, Rajendra U.. 2024. "Automated accurate emotion classification using Clefia pattern-based features with EEG signals." International Journal of Healthcare Management. 17 (1), pp. 32-45. https://doi.org/10.1080/20479700.2022.2141694Article
Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review
Barua, Prabal Datta, Jahmunah, Jahmunah, Oh, Oh Shu, Palmer, Elizabeth Emma, Yamakawa, Toshitaka, Kobayashi, Makiko and Acharya, Udyavara Rajendra. 2024. "Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review." Cognitive Neurodynamics. 18 (1), pp. 1-22. https://doi.org/10.1007/s11571-022-09904-0Article
Fostering Enduring Peer Learning Groups for 1st Year Students
Brown, Jason, Kennedy, Joel, Raj, Nawin and Quinton, Matthew. 2023. "Fostering Enduring Peer Learning Groups for 1st Year Students." 34th Annual Conference of the Australasian Association for Engineering Education (AAEE 2023). Gold Coast, Australia 03 - 06 Dec 2023 Australia. Australasian Association for Engineering Education.Paper
Discovery and mass measurement of the hot, transiting, Earth-sized planet, GJ 3929 b
Kemmer, J., Dreizler, S., Kossakowski, D., Stock, S., Quirrenbach, A., Caballero, J. A., Amado, P. J., Collins, K. A., Espinoza, N., Herrero, E., Jenkins, J. M., Latham, D. W., Lillo-Box, J., Narita, N., Palle, E., Reiners, A., Ribas, I., Ricker, G., Rodriguez, E., ..., Zechmeister, M.. 2022. "Discovery and mass measurement of the hot, transiting, Earth-sized planet, GJ 3929 b." Astronomy and Astrophysics: a European journal. 659, pp. 1-23. https://doi.org/10.1051/0004-6361/202142653Article
Evaluation and Prediction of Groundwater Quality for Irrigation Using an Integrated Water Quality Indices, Machine Learning Models and GIS Approaches: A Representative Case Study
Ibrahim, Hekmat, Yaseen, Zaher Mundher, Scholz, Miklas, Ali, Mumtaz, Gad, Mohamed, Elsayed, Salah, Khadr, Mosaad, Hussein, Hend, Ibrahim, Hazem H., Eid, Mohamed Hamdy, Kovács, Attila, Péter, Szűcs and Khalifa, Moataz M.. 2023. "Evaluation and Prediction of Groundwater Quality for Irrigation Using an Integrated Water Quality Indices, Machine Learning Models and GIS Approaches: A Representative Case Study." Water. 15 (4). https://doi.org/10.3390/w15040694Article
A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture
Jamei, Mehdi, Ali, Mumtaz, Karbasi, Masoud, Sharma, Ekta, Jamei, Mozhdeh, Chu, Xuefeng and Yaseen, Zaher Mundher. 2023. "A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture." Engineering Applications of Artificial Intelligence. 120. https://doi.org/10.1016/j.engappai.2023.105895Article
Analysis and Protection of Public Medical Dataset: From Privacy Perspective
Jahan, Samsad, Ge, Yong-Feng, Kabir, Enamul and Wang, Hua. 2023. "Analysis and Protection of Public Medical Dataset: From Privacy Perspective." 12th International Conference on Health Information Science (HIS 2023). Melbourne, Australia 23 - 24 Oct 2023 Singapore. https://doi.org/10.1007/978-981-99-7108-4_7Paper
Entity alignment via graph neural networks: a component-level study
Shu, Yanfeng, Zhang, Ji, Huang, Guangyan, Chi, Chi-Hung and He, Jing. 2023. "Entity alignment via graph neural networks: a component-level study." World Wide Web. 26 (6), pp. 4069-4092. https://doi.org/10.1007/s11280-023-01221-8Article
YOLOv5s-CAM: A Deep Learning Model for Automated Detection and Classification for Types of Intracranial Hematoma in CT Images
Vidhya, V., Raghavendra, U., Gudigar, Anjan, Basak, Sudipta, Mallappa, Sankalp, Hegde, Ajay, Menon, Girish R., Barua, Prabal Datta, Salvi, Massimo, Ciaccio, Edward J., Molinari, Filippo and Acharya, U. Rajendra. 2023. "YOLOv5s-CAM: A Deep Learning Model for Automated Detection and Classification for Types of Intracranial Hematoma in CT Images." IEEE Access. 11, pp. 141309 - 141328. https://doi.org/10.1109/ACCESS.2023.3339560Article
EfDenseNet: Automated Pulmonary Hypertension Detection Model Based on EfficientNetb0 and DenseNet201 Using CT Images
Kivrak, Tarik, Nayak, Jagadish, Gelen, Mehmet Ali, Barua, Prabal Datta, Baygin, Mehmet, Pamukcu, Hilal Erken, Dogan, Sengul, Tuncer, Turker and Acharya, U. Rajendra. 2023. "EfDenseNet: Automated Pulmonary Hypertension Detection Model Based on EfficientNetb0 and DenseNet201 Using CT Images." IEEE Access. 11, pp. 142711-142724. https://doi.org/10.1109/ACCESS.2023.3338228Article
Verification of Gaia Data Release 3 Single-lined Spectroscopic Binary Solutions With Three Transiting Low-mass Secondaries
Schmidt, Stephen P., Schlaufman, Kevin C., Ding, Keyi, Grunblatt, Samuel K., Carmichael, Theron, Bieryla, Allyson, Rodriguez, Joseph E, Schulte, Jack, Vowell, Noah, Zhou, George, Quinn, Samuel N. Q, Yee, Samuel W., Winn, Joshua N., Hartman, Joel D., Latham, David W., Caldwell, Douglas A., Fausnaugh, M. M., Hedges, Christina, Jenkins, Jon M., ..., Seager, Sara. 2023. "Verification of Gaia Data Release 3 Single-lined Spectroscopic Binary Solutions With Three Transiting Low-mass Secondaries." The Astronomical Journal. 166 (6). https://doi.org/10.3847/1538-3881/ad0135Article
Preface WI-IAT 2023
Orlando, Salvatore, Pasi, Gabriella, Bruch, Sebastian, Lucchese, Claudio and Tao, Xiaohui. 2023. "Preface WI-IAT 2023." 2023 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). Venice, Italy 26 - 29 Oct 2023 Italy. https://doi.org/10.1109/WI-IAT59888.2023.00005Other
Full-Resolution Lung Nodule Localization From Chest X-Ray Images Using Residual Encoder-Decoder Networks
Horry, Michael J., Chakraborty, Subrata, Pradhan, Biswajeet, Paul, Manoranjan, Zhu, Jing, Barua, Prabal Datta, Mir, Hasan Saeed, Chen, Fang, Zhou, Jianlong and Acharya, U. Rajendra. 2023. "Full-Resolution Lung Nodule Localization From Chest X-Ray Images Using Residual Encoder-Decoder Networks." IEEE Access. 11, pp. 143016 - 143036. https://doi.org/10.1109/ACCESS.2023.3343451Article
The energy‑growth nexus in Canada: new empirical insights
Ali, Md. Idris, Ceh, Brian and Salahuddin, Mohammad. 2023. "The energy‑growth nexus in Canada: new empirical insights." Environmental Science and Pollution Research. 30 (58), pp. 122822 - 122839. https://doi.org/10.1007/s11356-023-30825-wArticle
Separated Twins or Just Siblings? A Multiplanet System around an M Dwarf Including a Cool Sub-Neptune
Harris, Mallory, Dragomir, Diana, Mireles, Ismael, Collins, Karen A., Ulmer-Moll, Solène, Howell, Steve B., Stassun, Keivan G., Zhou, George, Ziegler, Carl Z, Bouchy, François, Briceno, César, Charbonneau, David, Collins, Kevin I., Furesz, Gábor, Guerrero, Natalia M., Jenkins, Jon M., Jensen, Eric L. N., Kristiansen, Martti H. K., Law, Nicholas, ..., Winn, Joshua N.. 2023. "Separated Twins or Just Siblings? A Multiplanet System around an M Dwarf Including a Cool Sub-Neptune." The Astrophysical Journal Letters. 959 (1). https://doi.org/10.3847/2041-8213/ad037dArticle
SARW: Similarity-Aware Random Walk for GCN
Hou, Linlin, Zhang, Haixiang, Hou, Qing-Hu, Guo, Alan J.X., Wu, Ou, Yua, Ting and Zhang, Ji. 2023. "SARW: Similarity-Aware Random Walk for GCN." Intelligent Data Analysis. 27 (6), pp. 1615 -1636. https://doi.org/10.3233/IDA-227085Article
Validating AU Microscopii d with Transit Timing Variations
Wittrock, Justin M., Plavchan, Peter P., Cale, Bryson L., Barclay, Thomas, Ludwig, Mathis R., Schwarz, Richard P., Mekarnia, Djamel, Triaud, Amaury H. M. J., Abe, Lyu, Suarez, Olga, Guillot, Tristan, Conti, Dennis M., Collins, Karen A., Waite, Ian A., Kielkopf, John F., Collins, Kevin I., Dreizler, Stefan, El Mufti, Mohammed, Feliz, Dax L., ..., Vega, Laura D.. 2023. "Validating AU Microscopii d with Transit Timing Variations." The Astronomical Journal. 166 (6). https://doi.org/10.3847/1538-3881/acfda8Article
Thinking space generation using context-enhanced knowledge fusion for systematic brain computing
Kuai, Hongzhi, Tao, Xiaohui and Zhong, Ning. 2023. "Thinking space generation using context-enhanced knowledge fusion for systematic brain computing." Web Intelligence. 21 (4), pp. 345-361. https://doi.org/10.3233/WEB-220089Article
Author Correction: Explainable AI approach with original vegetation data classifies spatio‑temporal nitrogen in flows from ungauged catchments to the Great Barrier Reef
O’Sullivan, Cherie M., Deo, Ravinesh C. and Ghahramani, Afshin. 2023. "Author Correction: Explainable AI approach with original vegetation data classifies spatio‑temporal nitrogen in flows from ungauged catchments to the Great Barrier Reef." Scientific Reports. 13 (1). https://doi.org/10.1038/s41598-023-48938-0Notes or commentaries
The CUBES science case
Evans, Chris, Cristiani, Stefano, Opitom, Cyrielle, Cescutti, Gabriele, D’Odorico, Valentina, Alcalá, Juan Manuel, Alencar, Silvia H. P., Balashev, Sergei, Barbuy, Beatriz, Bastian, Nate, Battino, Umberto, Cambianica, Pamela, Carini, Roberta, Carter, Brad, Cassisi, Santi, Castilho, Bruno Vaz, Christlieb, Norbert, Cooke, Ryan, Covino, Stefano, ..., Zafar, Tayyaba. 2023. "The CUBES science case." Experimental Astronomy: an international journal on astronomical instrumentation and data analysis. 55 (1), pp. 1 - 57. https://doi.org/10.1007/s10686-022-09864-7Article
Channel-Agnostic Training of Transmitter and Receiver for Wireless Communications
Davey, Christopher P., Shakeel, Ismail, Deo, Ravinesh C. and Salcedo-sanz, Sancho. 2023. "Channel-Agnostic Training of Transmitter and Receiver for Wireless Communications ." Sensors. 23 (24). https://doi.org/10.3390/s23249848Article
Knowledge-Based Nonlinear to Linear Dataset Transformation for Chronic Illness Classification
Jaworsky, Markian, Tao, Xiaohui, Yong, Jianming, Pan, Lei, Zhang, Ji and Pokhrel, Shiva Raj. 2023. "Knowledge-Based Nonlinear to Linear Dataset Transformation for Chronic Illness Classification." 12th International Conference on Health Information Science (HIS 2023). Melbourne, Australia 23 - 24 Oct 2023 Singapore. https://doi.org/10.1007/978-981-99-7108-4_10Paper
Predicting learners' performance using MOOC clickstream
Xiao, Kui, Pan, Xueyan, Zhang, Yan, Tao, Xiaohui and Huang, Zhifang. 2023. "Predicting learners' performance using MOOC clickstream." 19th International Conference on Advanced Data Mining and Applications (ADMA'23). Shenyang, China 21 - 23 Aug 2023 Switzerland. Springer. https://doi.org/10.1007/978-3-031-46674-8_42Paper
HA-CMNet: A Driver CTR Model for Vehicle-Cargo Matching in O2O Platform
Jiang, Zilong, Zuo, Xiang, Li, Lin, Tao, Xiaohui and Wang, Dali. 2023. "HA-CMNet: A Driver CTR Model for Vehicle-Cargo Matching in O2O Platform." 19th International Conference on Advanced Data Mining and Applications (ADMA'23). Shenyang, China 21 - 23 Aug 2023 Switzerland . Springer. https://doi.org/10.1007/978-3-031-46674-8_45Paper
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