4602. Artificial intelligence
| Title | 4602. Artificial intelligence |
|---|---|
| Parent | 46. Information and Computing Sciences |
Latest research outputs
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Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity
Ahmed, A. A. Masrur, Deo, Ravinesh C., Feng, Qi, Ghahramani, Afshin, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2021. "Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity." Journal of Hydrology. 599, pp. 1-23. https://doi.org/10.1016/j.jhydrol.2021.126350Article
Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models
Bayatvarkeshi, Maryam, Bhagat, Suraj Kumar, Mohammadi, Kourosh, Kisi, Ozgur, Farahani, M., Hasani, A., Deo, Ravinesh and Yaseen, Zaher Mundher. 2021. "Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models." Computers and Electronics in Agriculture. 185. https://doi.org/10.1016/j.compag.2021.106158Article
Automated major depressive disorder detection using melamine pattern with EEG signals
Aydemir, Emrah, Tuncer, Tucker, Dogan, Sengul, Gururajan, Raj and Acharya, U. Rajendra. 2021. "Automated major depressive disorder detection using melamine pattern with EEG signals." Applied Intelligence. 51, pp. 6449-6466. https://doi.org/10.1007/s10489-021-02426-yArticle
Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach
Koh, Joel En Wei, de Michele, Simona, Sudarshan, Vidya K., Jahmunah, V., Ciaccio, Edward J., Ooi, Chui Ping, Gururajan, Raj, Gururajan, Rashmi, Oh, Shu Lih, Lewis, Suzanne K., Green, Peter H., Bhagat, Govind and Acharya, U. Rajendra. 2021. "Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach." Computer Methods and Programs in Biomedicine. 203. https://doi.org/10.1016/j.cmpb.2021.106010Article
Development and evaluation of data-driven models for electricity demand forecasting in Queensland, Australia
Kumie, Tobias. 2020. Development and evaluation of data-driven models for electricity demand forecasting in Queensland, Australia. Masters Thesis Master of Science (Research). University of Southern Queensland. https://doi.org/10.26192/tr73-nb90Masters Thesis
Countering Intelligence Algorithms: Decision Theory, Design Choices and Counter-AI
Phillips, Peter J. and Pohl, Gabriela. 2021. "Countering Intelligence Algorithms: Decision Theory, Design Choices and Counter-AI." RUSI Journal. 165 (7), pp. 22-32. https://doi.org/10.1080/03071847.2021.1893126Article
Deep Architecture Enhancing Robustness to Noise, Adversarial Attacks, and Cross-corpus Setting for Speech Emotion Recognition
Latif, Siddique, Rana, Rajib, Khalifa, Sara, Jurdak, Raja and Schuller, Bjorn W.. 2020. "Deep Architecture Enhancing Robustness to Noise, Adversarial Attacks, and Cross-corpus Setting for Speech Emotion Recognition." 21st Annual Conference of the International Speech Communication Association: Cognitive Intelligence for Speech Processing (INTERSPEECH 2020). Shanghai, China 25 - 29 Oct 2020 France. https://doi.org/10.21437/Interspeech.2020-3190Paper
Augmenting Generative Adversarial Networks for Speech Emotion Recognition
Latif, Siddique, Asim, Muhammad, Rana, Rajib, Khalifa, Sara, Jurdak, Raja and Schuller, Bjorn W.. 2020. "Augmenting Generative Adversarial Networks for Speech Emotion Recognition." 21st Annual Conference of the International Speech Communication Association: Cognitive Intelligence for Speech Processing (INTERSPEECH 2020). Shanghai, China 25 - 29 Oct 2020 France. https://doi.org/10.21437/Interspeech.2020-3194Paper
Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science
Jahmunah, Vicnesh, Sudarshan, Vidya K., Oh, Shu Lih, Gururajan, Raj, Gururajan, Rashmi, Zhou, Xujuan, Tao, Xiaohui, Faust, Oliver, Ciaccio, Edward J., Ng, Kwan Hoong and Acharya, U. Rajendra. 2021. "Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science." International Journal of Imaging Systems and Technology. 31 (2), pp. 455-471. https://doi.org/10.1002/ima.22552Article
High-fidelity audio generation and representation learning with guided adversarial autoencoder
Haque, Kazi Nazmul, Rana, Rajib and Schuller, Bjorn W.. 2020. "High-fidelity audio generation and representation learning with guided adversarial autoencoder." IEEE Access. 8, pp. 223509-223528. https://doi.org/10.1109/ACCESS.2020.3040797Article
Global research on artificial intelligence-enhanced human electroencephalogram analysis
Chen, Xieling, Tao, Xiaohui, Wang, Fu Lee and Xie, Haoran. 2022. "Global research on artificial intelligence-enhanced human electroencephalogram analysis." Neural Computing and Applications. 34 (14), pp. 11295-11333. https://doi.org/10.1007/s00521-020-05588-xArticle
Multiscale entropy algorithms and their applications in cardiac disease discrimination
Wan, Xiangkui, Zhu, Binru, Jin, Zhiyao, Zhang, Mingru and Li, Yan. 2020. "Multiscale entropy algorithms and their applications in cardiac disease discrimination." Journal of Mechanics in Medicine and Biology. 20 (8), pp. 1-13. https://doi.org/10.1142/S0219519420500529Article
Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks
Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra, Parisi, Alfio and Raj, Nawin. 2020. "Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks." IEEE Access. 8, pp. 209503-209516. https://doi.org/10.1109/ACCESS.2020.3039002Article
Self-Sorting of Solid Waste using Machine Learning
Chan, Tyson, Cai, Jacky H., Chen, Francis and Chan, Ka C.. 2020. "Self-Sorting of Solid Waste using Machine Learning." Hernes, Marcin, Wojtkiewicz, Krystian and Szczerbicki, Edward (ed.) 12th International Conference on Computational Collective Intelligence (ICCCI 2020). Da Nang, Vietnam 30 Nov - 03 Dec 2020 Cham, Switzerland. https://doi.org/10.1007/978-3-030-63119-2Paper
A Densely Connected Encoder Stack Approach for Multi-type Legal Machine Reading Comprehension
Nai, Peiran, Li, Lin and Tao, Xiaohui. 2020. "A Densely Connected Encoder Stack Approach for Multi-type Legal Machine Reading Comprehension." Huang, Zhisheng, Beek, Wouter, Wang, Hua, Zhou, Rui and Zhang, Yanchun (ed.) 21st International Conference on Web Information Systems Engineering (WISE 2020). Amsterdam, The Netherlands 20 - 24 Oct 2020 Cham, Switzerland. https://doi.org/10.1007/978-3-030-62008-0_12Paper
Low cost and centimeter-level global positioning system accuracy using real-time kinematic library and real-time kinematic gpsa
Gianey, Hemant K., Ali, Mumtaz, Vijayakumar, Varadarajan, Sharma, Ashutosh and Kumar, Rajiv. 2021. "Low cost and centimeter-level global positioning system accuracy using real-time kinematic library and real-time kinematic gpsa." Recent Advances in Computer Science and Communications. 14 (2), pp. 360-367. https://doi.org/10.2174/2213275912666190328201322Article
Non-Contact Automatic Vital Signs Monitoring of Infants in a Neonatal Intensive Care Unit Based on Neural Networks
Khanam, Fatema-Tuz-Zohra, Perera, Asanka G., Al-Naji, Ali, Gibson, Kim and Chahl, Javaan. 2021. "Non-Contact Automatic Vital Signs Monitoring of Infants in a Neonatal Intensive Care Unit Based on Neural Networks." Journal of Imaging. 7 (8). https://doi.org/10.3390/jimaging7080122Article
Functional-structural plant models mission in advancing crop science: opportunities and prospects
Soualiou, Soualihou, Wang, Zhiwei, Sun, Weiwei, de Reffye, Philippe, Collins, Brian, Louarn, Gaëtan and Song, Youhong. 2021. "Functional-structural plant models mission in advancing crop science: opportunities and prospects." Frontiers in Plant Science. 12. https://doi.org/10.3389/fpls.2021.747142Article
Fooling intrusion detection systems using adversarially autoencoder
Chen, Junjun, Wu, Di, Zhao, Ying, Sharma, Nabin, Blumenstein, Michael and Yu, Shui. 2021. "Fooling intrusion detection systems using adversarially autoencoder." Digital Communications and Networks. 7 (3), pp. 453-460. https://doi.org/10.1016/j.dcan.2020.11.001Article
Stroke Classification in Simulated Electromagnetic Imaging Using Graph Approaches
Zhu, Guohun, Bialkowski, Alina, Guo, Lei, Mohammed, Beadaa and Abbosh, Amin. 2021. "Stroke Classification in Simulated Electromagnetic Imaging Using Graph Approaches ." IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology. 5 (1), pp. 46-53. https://doi.org/10.1109/JERM.2020.2995329Article
MARS model for prediction of short- and long-term global solar radiation
Balalla, Dilki T., Nguyen-Huy, Thong and Deo, Ravinesh. 2021. "MARS model for prediction of short- and long-term global solar radiation." Deo, Ravinesh, Roy, Sanjiban Sekhar and Samui, Pijush (ed.) Predictive Modelling for Energy Management and Power Systems Engineering. United Kingdom. Elsevier. pp. 391-436Edited book (chapter)
Developing reservoir evaporation predictive model for successful dam management
Allawi, Mohammed Falah, Ahmed, Mohammed Lateef, Aidan, Ibraheem Abdallah, Deo, Ravinesh C. and El-Shafie, Ahmed. 2021. "Developing reservoir evaporation predictive model for successful dam management." Stochastic Environmental Research and Risk Assessment. 35 (2), pp. 499-514. https://doi.org/10.1007/s00477-020-01918-6Article
Brain network, modelling and corresponding EEG patterns for health and disease states
Al-Hossenat, Auhood Hadi Jabbar. 2020. Brain network, modelling and corresponding EEG patterns for health and disease states. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/7xxq-3k23PhD Thesis
Federated Learning for Speech Emotion Recognition Applications
Latif, Siddique, Khalifa, Sara, Rana, Rajib and Jurdak, Raja. 2020. "Federated Learning for Speech Emotion Recognition Applications." 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2020). Sydney, Australia 21 - 24 Apr 2020 United States. https://doi.org/10.1109/IPSN48710.2020.00-16Poster
Event prediction through structural intelligence in online social networks
Tan, Leonard. 2020. Event prediction through structural intelligence in online social networks. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/asxq-ax90PhD Thesis
Identification of stress impact on personality density distributions
Lys, Brendan, Tao, Xiaohui, Machin, Tony, Zhang, Ji and Zhong, Ning. 2019. "Identification of stress impact on personality density distributions." Liang, Peipeng, Goel, Vinod and Shan, Chunlei (ed.) 12th International Conference on Brain Informatics (BI 2019). Haikou, China 13 - 15 Dec 2019 Cham, Switzerland. Springer. https://doi.org/10.1007/978-3-030-37078-7_26Paper
Death and the M(AI)den
Sulway, Nike. 2015. "Death and the M(AI)den." Death, Dying and the Undead: Inaugural Conference of the Australian Death Studies Network (2015). Noosa, Australia 12 Oct 2015 Noosa, Australia.Paper
Probabilistic and artificial intelligence modelling of drought and agricultural crop yield in Pakistan
Ali, Mumtaz. 2019. Probabilistic and artificial intelligence modelling of drought and agricultural crop yield in Pakistan. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/S847-M467PhD Thesis
Daily flood forecasts with intelligent data analytic models: multivariate empirical mode decomposition-based modeling methods
Prasad, Ramendra, Charan, Dhrishna, Joseph, Lionel, Nguyen-Huy, Thong, Deo, Ravinesh C. and Singh, Sanjay. 2021. "Daily flood forecasts with intelligent data analytic models: multivariate empirical mode decomposition-based modeling methods." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 359-381Edited book (chapter)
Artificial neural networks for prediction of Steadman Heat Index
Chand, Bhuwan, Nguyen-Huy, Thong and Deo, Ravinesh C.. 2021. "Artificial neural networks for prediction of Steadman Heat Index." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 293-357Edited book (chapter)
Spatial prediction of landslide susceptibility using random forest algorithm
Rahmati, Omid, Kornejady, Aiding and Deo, Ravinesh C.. 2021. "Spatial prediction of landslide susceptibility using random forest algorithm." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 281-292Edited book (chapter)
Bayesian Markov Chain Monte Carlo-based copulas: factoring the role of large-scale climate indices in monthly flood prediction
Nguyen-Huy, Thong, Deo, Ravinesh C., Yaseen, Zaher Mundher, Mushtaq, Shahbaz and Prasad, Ramendra. 2021. "Bayesian Markov Chain Monte Carlo-based copulas: factoring the role of large-scale climate indices in monthly flood prediction." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 29-47Edited book (chapter)
Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation
Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher. 2021. Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer.Edited book
Community-diversity Driven Influence Maximization on Social Networks
Li, Jianxin, Cai, Taotao, Ke, Deng, Wang, Xinjue, Sellis, Timos and Xia, Feng. 2020. "Community-diversity Driven Influence Maximization on Social Networks." Information Systems. 92. https://doi.org/10.1016/j.is.2020.101522Article
Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms
Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong and Deo, Ravinesh C.. 2020. "Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms." Renewable and Sustainable Energy Reviews. 132. https://doi.org/10.1016/j.rser.2020.110003Article
Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms
Al-Musaylh, Mohanad S., Deo, Ravinesh C. and Li, Yan. 2020. "Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms." Energies. 13 (9). https://doi.org/10.3390/en13092307Article
Human Head Modelling Simulation Applied to Electroconvulsive Therapy
Menezes de Oliveira, Marilia, Song, Bo, Ahfock, Tony, Li, Yan and Wen, Paul. 2018. "Human Head Modelling Simulation Applied to Electroconvulsive Therapy." Abreu de Souza, Mauren, Remigio Gamba, Humberto and Pedrini, Helio (ed.) Multi-Modality Imaging: Applications and Computational Techniques. Cham, Switzerland. Springer. pp. 103-133Edited book (chapter)
Modelling of heat stress in a robotic dairy farm. Part 3: rumination and milking performance
Ji, Boyu, Banhazi, Thomas, Ghahramani, Afshin, Bowtell, Les, Wang, Chaoyuan and Li, Baoming. 2020. "Modelling of heat stress in a robotic dairy farm. Part 3: rumination and milking performance." Biosystems Engineering. 199, pp. 58-72. https://doi.org/10.1016/j.biosystemseng.2020.02.006Article
Constructing a knowledge-based heterogeneous information graph for medical health status classification
Pham, Thuan, Tao, Xiaohui, Zhang, Ji and Yong, Jianming. 2020. "Constructing a knowledge-based heterogeneous information graph for medical health status classification." Health Information Science and Systems. 8 (1). https://doi.org/10.1007/s13755-020-0100-6Article
M-CFIS-R: Mamdani Complex Fuzzy Inference System with Rule Reduction Using Complex Fuzzy Measures in Granular Computing
Tuan, Tran Manh, Lan, Luong Thi Hong, Chou, Shuo-Yan, Ngan, Tran Thi, Son, Le Hoang, Giang, Nguyen Long and Ali, Mumtaz. 2020. "M-CFIS-R: Mamdani Complex Fuzzy Inference System with Rule Reduction Using Complex Fuzzy Measures in Granular Computing." Mathematics. 8 (5), pp. 1-24. https://doi.org/10.3390/math8050707Article
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460201. Artificial life and complex adaptive systems
460202. Autonomous agents and multiagent systems
460203. Evolutionary computation
460206. Knowledge representation and reasoning
460207. Modelling and simulation
460208. Natural language processing
460209. Planning and decision making