4603. Computer vision and multimedia computation
| Title | 4603. Computer vision and multimedia computation |
|---|---|
| Parent | 46. Information and Computing Sciences |
Latest research outputs
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PollenNet: A Novel Deep Learning Architecture for High Precision Pollen Grain Classification through Deep Learning and Explainable AI
Shamrat, F M Javed Mehedi, Idris, Mohd Yamani Idna, Zhou, Xujuan, Khalid, Majdi, Sharmin, Sharmin, Sharmin, Zeseya, Ahmed, Kawsar and Moni, Mohammad Ali. 2024. "PollenNet: A Novel Deep Learning Architecture for High Precision Pollen Grain Classification through Deep Learning and Explainable AI ." Heliyon. 10 (19). https://doi.org/10.1016/j.heliyon.2024.e38596Article
Guided Disentangled Representation Learning from Audio data for Transfer Learning
Haque, Kazi Nazmul. 2024. Guided Disentangled Representation Learning from Audio data for Transfer Learning. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z9y75PhD by Publication
A customised vision transformer for accurate detection and classification of Java Plum leaf disease
Bhowmik, Auvick Chandra, Ahad, Md. Taimur, Emon, Yousuf Rayhan, Ahmed, Faruk, Song, Bo and Li, Yan. 2024. "A customised vision transformer for accurate detection and classification of Java Plum leaf disease ." Smart Agricultural Technology . 8. https://doi.org/10.1016/j.atech.2024.100500Article
Epidemic Source Identification Based on Infection Graph Learning
Hong, Xingyun, Yu, Ting, Li, Zhao and Zhang, Ji. 2024. "Epidemic Source Identification Based on Infection Graph Learning." 7th International Joint Conference on Asia-Pacific Web and Web-Age Information Management (APWeb-WAIM 2023). Wuhan, China 06 - 08 Oct 2023 Singapore . Springer. https://doi.org/10.1007/978-981-97-2303-4_16Paper
Fast face swapping with high-fidelity lightweight generator assisted by online knowledge distillation
Yang, Gaoming, Ding, Yifeng, Fang, Xianjin, Zhang, Ji and Chu, Yan. 2024. "Fast face swapping with high-fidelity lightweight generator assisted by online knowledge distillation." The Visual Computer. https://doi.org/10.1007/s00371-024-03414-2Article
UAV Control Method Combining Reptile Meta-Reinforcement Learning and Generative Adversarial Imitation Learning
Jiang, Shui, Ge, Yanning, Yang, Xu, Yang, Wencheng and Cui, Hui. 2024. "UAV Control Method Combining Reptile Meta-Reinforcement Learning and Generative Adversarial Imitation Learning." Future Internet. 16 (3). https://doi.org/10.3390/fi16030105Article
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
Trajectory Analysis of the Hayabusa2 Capsule from a Single Airborne Observation
Zander, Fabian, Buttsworth, David R., Birch, Byrenn and Payne, Allan. 2024. "Trajectory Analysis of the Hayabusa2 Capsule from a Single Airborne Observation." Journal of Spacecraft and Rockets. 61 (1). https://doi.org/10.2514/1.A35719Article
Optical aerodynamic measurements of hypersonic free-flight using Bayesian state estimation
Lock, Andrew, Armstrong, Gerard, Hack, Flynn, Birch, Byrenn, Buttsworth, David and Jahn, Ingo. 2023. "Optical aerodynamic measurements of hypersonic free-flight using Bayesian state estimation." AIAA Aviation 2023 Forum . San Diego, United States 12 202 - 16 Jun 2023 United States. American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2023-3713Paper
Non-invasive and non-contact automatic jaundice detection of infants based on random forest
Khanam, Fatema-Tuz-Zohra, Al-Naj, Ali, Perera, Asanka G., Wang, Danyi and Chahl, Javaan. 2023. "Non-invasive and non-contact automatic jaundice detection of infants based on random forest." Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization. 11 (6), pp. 2516-2529. https://doi.org/10.1080/21681163.2023.2244601Article
Cybersecurity Defence of Synchrophasors in Distribution Systems: A Deep Learning Approach
Zhang, Ge, Cui, Yi, Zhang, Ruiyuan and Bai, Feifei. 2023. "Cybersecurity Defence of Synchrophasors in Distribution Systems: A Deep Learning Approach." 2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG). Wollongong, Australia 03 - 06 Dec 2023 Australia. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ETFG55873.2023.10407305Paper
Artificial Intelligence: what is it and what does it mean for cotton?
McCarthy, Alison. 2023. "Artificial Intelligence: what is it and what does it mean for cotton?" 2023 Australian Cotton Research Conference. Toowoomba 05 - 07 Sep 2023 Australia.Keynote
Variable-rate irrigation: hardware and software tools for improved infield irrigation
McCarthy, Alison and Foley, Joseph. 2023. "Variable-rate irrigation: hardware and software tools for improved infield irrigation." GRDC Grains Research Update: Irrigation efficiency. 30 - 30 May 2023 Australia.Presentation
Research and industry engagement for Ag tech development
McCarthy, Alison. 2023. "Research and industry engagement for Ag tech development." Scenic Rim Agricultural Workshop. Aratula 22 - 22 Mar 2023 Australia.Presentation
Hierarchical Aggregation Based Knowledge Graph Embedding for Multi-task Recommendation
Wang, Yani, Zhang, Ji, Zhou, Xiangmin and Zhang, Yang. 2023. "Hierarchical Aggregation Based Knowledge Graph Embedding for Multi-task Recommendation." 6th International Joint Conference on Asia-Pacific Web and Web-Age Information Management (APWeb-WAIM 2022). Nanjing, China 25 - 27 Nov 2022 Switzerland . https://doi.org/10.1007/978-3-031-25201-3_13Paper
FDS_2D: rethinking magnitude-phase features for DeepFake detection
Yang, Gaoming, Wei, Anxing, Fang, Xianjin and Zhang, Ji. 2023. "FDS_2D: rethinking magnitude-phase features for DeepFake detection." Multimedia Systems. 29 (4), pp. 2399-2413. https://doi.org/10.1007/s00530-023-01118-6Article
Facial depth forgery detection based on image gradient
Xu, Kun, Yang, Gaoming, Fang, Xianjin and Zhang, Ji. 2023. "Facial depth forgery detection based on image gradient." Multimedia Tools and Applications. 82 (19), pp. 29501-29525. https://doi.org/10.1007/s11042-023-14626-4Article
Build Smart Grids on Artificial Intelligence − A Real-world Example
You, Shutang, Li, Hongyu, Liu, Shengyuan, Sun, Kaiqi, Zhao, Yinfeng, Xiao, Huangqing, Dong, Jiaojiao, Su, Yu, Wang, Weikang, Cui, Yi, Yin, He, Tan, Jin and Liu, Yilu. 2023. "Build Smart Grids on Artificial Intelligence − A Real-world Example." Applications of Big Data and Artificial Intelligence in Smart Energy Systems Smart Energy System: Design and its State-of-The Art Technologies. River Publishers. pp. 193-220Edited book (chapter)
An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification
Abdulla, Shahab, Diykh, Mohammed, Siuly, Siuly and Ali, Mumtaz. 2023. "An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification." International Journal of Medical Informatics. 171, pp. 1-10. https://doi.org/10.1016/j.ijmedinf.2023.105001Article
CNN Based Image Classification of Malicious UAVs
Brown, Jason, Gharineiat, Zahra and Raj, Nawin. 2023. "CNN Based Image Classification of Malicious UAVs." Applied Sciences. 13 (1), pp. 1-13. https://doi.org/10.3390/app13010240Article
Trio-based collaborative multi-view graph clustering with multiple constraints
Wang, Ru, Li, Lin, Tao, Xiaohui, Dong, Xiao, Wang, Peipei and Liu, Peiyu. 2021. "Trio-based collaborative multi-view graph clustering with multiple constraints." Information Processing and Management. 58 (3), pp. 1-13. https://doi.org/10.1016/j.ipm.2020.102466Article
Deep Learning Based Frequency Stability Assessment in Power Grid with High Renewables
Zhao, Yinfeng, You, Shutang, Mandich, Mirka, Li, Hongyu, Fabus, Summer, Cui, Yi, Xiao, Huangqing, Zhu, Lin, Zeng, Chujie, Liu, Yilu, Jiang, Huaiguang, Yuan, Haoyu, Zhang, Yingchen and Tan, Jin. 2022. "Deep Learning Based Frequency Stability Assessment in Power Grid with High Renewables." 2022 IEEE Power and Energy Society General Meeting (PESGM). Denver, United States 17 - 21 Jul 2022 United States. https://doi.org/10.1109/pesgm48719.2022.9916751Paper
Power Transformer Condition Assessment Using Support Vector Machine With Heuristic Optimization
Cui, Yi, Ma, Hui and Saha, Tapan K.. 2013. "Power Transformer Condition Assessment Using Support Vector Machine With Heuristic Optimization." 23rd Australasian Universities Power Engineering Conference (AUPEC 2013). Hobart, Australia 29 Sep - 03 Oct 2013 Hobart, Australia. https://doi.org/10.1109/AUPEC.2013.6725452Paper
Investigation of Feature Selection Techniques for Improving Efficiency of Power Transformer Condition Assessment
Ashkezari, Atefeh Dehghani, Ma, Hui, Saha, Tapan K. and Cui, Yi. 2014. "Investigation of Feature Selection Techniques for Improving Efficiency of Power Transformer Condition Assessment." IEEE Transactions on Dielectrics and Electrical Insulation. 21 (2), pp. 836-844. https://doi.org/10.1109/TDEI.2013.004090Article
Multi-variable Approach for Evaluating Transformer Paper Insulation
Cui, Yi, Martin, Daniel, Saha, Tapan, Ma, Hui, Ekanayake, Chandima and Lelekakis, Nick. 2015. "Multi-variable Approach for Evaluating Transformer Paper Insulation." 11th International Conference on the Properties and Applications of Dielectric Materials (ICPADM 2015). Sydney, Australia 19 - 22 Jul 2015 Sydney, Australia. https://doi.org/10.1109/ICPADM.2015.7295273Paper
Exploiting Spatial Signatures of Power ENF Signal for Measurement Source Authentication
Cui, Yi, Liu, Yilu, Fuhr, Peter and Morales-Rodriguez, Marissa. 2018. "Exploiting Spatial Signatures of Power ENF Signal for Measurement Source Authentication." 2018 IEEE International Symposium on Technologies for Homeland Security (HST). Woburn, United States 23 - 24 Oct 2018 Woburn, United States. https://doi.org/10.1109/THS.2018.8574151Paper
Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG
Sadiq, Muhammad Tariq, Akbari, Hesam, Siuly, Siuly, Li, Yan and Wen, Paul. 2022. "Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG." 11th International Conference on Health Information Science (HIS 2022). Biarritz, France 28 - 30 Oct 2022 Switzerland. https://doi.org/10.1007/978-3-031-20627-6_10Paper
Spatio-Temporal Synchrophasor Data Characterization for Mitigating False Data Injection in Smart Grids
Cui, Yi, Wang, Weikang, Liu, Yilu, Fuhr, Peter and Morales-Rodriguez, Marissa. 2019. "Spatio-Temporal Synchrophasor Data Characterization for Mitigating False Data Injection in Smart Grids." 2020 IEEE Power and Energy Society General Meeting (PESGM). Atlanta, United States 04 - 08 Aug 2020 Atlanta, United States. https://doi.org/10.1109/pesgm40551.2019.8973586Paper
Source Location Identification of Distribution-Level Electric Network Frequency Signals at Multiple Geographic Scales
Yao, Wenxuan, Zhao, Jiecheng, Till, Micah J., You, Shutang, Liu, Yong, Cui, Yi and Liu, Yilu. 2017. "Source Location Identification of Distribution-Level Electric Network Frequency Signals at Multiple Geographic Scales." IEEE Access. 5, pp. 11166-11175. https://doi.org/10.1109/ACCESS.2017.2707060Article
Multimodality Information Fusion for Automated Machine Translation
Li, Lin, Tayir, Turghun, Han, Yifeng, Tao, Xiaohui and Velasquez, Juan D.. 2023. "Multimodality Information Fusion for Automated Machine Translation." Information Fusion. 91, pp. 352-363. https://doi.org/10.1016/j.inffus.2022.10.018Article
A Measurement Source Authentication Methodology for Power System Cyber Security Enhancement
Cui, Yi, Bai, Feifei, Liu, Yong and Liu, Yilu. 2018. "A Measurement Source Authentication Methodology for Power System Cyber Security Enhancement." IEEE Transactions on Smart Grid. 9 (4), pp. 3914-3916. https://doi.org/10.1109/TSG.2018.2826444Article
Potential for machine vision of grain crop features for nitrogen assessment
McCarthy, Alison, Colaco, Andre, Richetti, Jonathan and Baillie, Craig. 2022. "Potential for machine vision of grain crop features for nitrogen assessment." 20th Australian Agronomy Conference (2022). Toowoomba, Australia Toowoomba, Australia.Paper
Spatio-Temporal Characterization of Synchrophasor Data Against Spoofing Attacks in Smart Grids
Cui, Yi, Bai, Feifei, Liu, Yilu, Fuhr, Peter L. and Morales-Rodriguez, Marissa E.. 2019. "Spatio-Temporal Characterization of Synchrophasor Data Against Spoofing Attacks in Smart Grids." IEEE Transactions on Smart Grid. 10 (5), pp. 5807-5818. https://doi.org/10.1109/tsg.2019.2891852Article
Extraction of Dynamic Frequency Response Characteristics and Modelling of Modern Air Conditioners
Bai, Feifei, Yan, Ruifeng, Saha, Tapan Kumar, Cui, Yi and Pan, Zicheng. 2021. "Extraction of Dynamic Frequency Response Characteristics and Modelling of Modern Air Conditioners." IEEE Transactions on Smart Grid. 12 (1), pp. 897-900. https://doi.org/10.1109/TSG.2020.3009841Article
Source Authentication of Distribution Synchrophasors for Cybersecurity of Microgrids
Cui, Yi, Bai, Feifei, Yan, Ruifeng, Saha, Tapan, Ko, Ryan K. L. and Liu, Yilu. 2021. "Source Authentication of Distribution Synchrophasors for Cybersecurity of Microgrids." IEEE Transactions on Smart Grid. 12 (5), pp. 4577-4580. https://doi.org/10.1109/tsg.2021.3089041Article
Adding power of artificial intelligence to situational awareness of large interconnections dominated by inverter‐based resources
Zhu, Lin, Zhao, Yinfeng, Cui, Yi, You, Shutang, Yu, Wenpeng, Liu, Shengyuan, Yin, He, Chen, Chang, Wu, Yuru, Qiu, Wei, Mandich, Mirka, Li, Hongyu, Ademola, Adedasola, Zhang, Chengwen, Zeng, Chujie, Jia, Xinlan, Wang, Weikang, Yuan, Haoyu, Jiang, Huaiguang, ..., Liu, Yilu. 2021. "Adding power of artificial intelligence to situational awareness of large interconnections dominated by inverter‐based resources." High Voltage. 6 (6), pp. 924-937. https://doi.org/10.1049/hve2.12157Article
Multiscale Adaptive Multifractal Detrended Fluctuation Analysis-Based Source Identification of Synchrophasor Data
Cui, Yi, Bai, Feifei, Yin, Hongzhi, Chen, Tong, Dart, David, Zillmann, Matthew and Ko, Ryan K. L.. 2022. "Multiscale Adaptive Multifractal Detrended Fluctuation Analysis-Based Source Identification of Synchrophasor Data." IEEE Transactions on Smart Grid. 13 (6), pp. 4957-4960. https://doi.org/10.1109/tsg.2022.3207066Article
Multifractal Characterization of Distribution Synchrophasors for Cybersecurity Defense of Smart Grids
Cui, Yi, Bai, Feifei, Yan, Ruifeng, Saha, Tapan, Mosadeghy, Mehdi, Yin, Hongzhi, Ko, Ryan K. L. and Liu, Yilu. 2022. "Multifractal Characterization of Distribution Synchrophasors for Cybersecurity Defense of Smart Grids." IEEE Transactions on Smart Grid. 13 (2), pp. 1658-1661. https://doi.org/10.1109/tsg.2021.3132536Article
Authenticating source information of distribution synchrophasors at intra-state locations for cyber-physical resilient power networks
Cui, Yi, Bai, Feifei, Saha, Tapan and Yaghoobi, Jalil. 2022. "Authenticating source information of distribution synchrophasors at intra-state locations for cyber-physical resilient power networks." International Journal of Electrical Power and Energy Systems. 139, pp. 1-10. https://doi.org/10.1016/j.ijepes.2022.108009Article
Data Source Authentication for Wide-Area Synchrophasor Measurements Based On Spatial Signature Extraction and Quadratic Kernel SVM
Liu, Shengyuan, You, Shutang, Yin, He, Lin, Zhenzhi, Liu, Yilu, Cui, Yi, Yao, Wenxuan and Sundaresh, Lakshmi. 2022. "Data Source Authentication for Wide-Area Synchrophasor Measurements Based On Spatial Signature Extraction and Quadratic Kernel SVM." International Journal of Electrical Power and Energy Systems. 140, pp. 1-13. https://doi.org/10.1016/j.ijepes.2022.108083Article