4602. Artificial intelligence
| Title | 4602. Artificial intelligence |
|---|---|
| Parent | 46. Information and Computing Sciences |
Latest research outputs
Sort by Date Title
Data Analytics on Online Student Engagement Data for Academic Performance Modeling
Tao, Xiaohui, Shannon-Honson, Aaron, Delaney, Patrick, Li, Lin, Dann, Christopher, Li, Yan and Xie, Haoran. 2022. "Data Analytics on Online Student Engagement Data for Academic Performance Modeling." IEEE Access. 10, pp. 103176-103186. https://doi.org/10.1109/ACCESS.2022.3208953Article
An EEG based real-time epilepsy seizure detection approach using discrete wavelet transform and machine learning methods
Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2022. "An EEG based real-time epilepsy seizure detection approach using discrete wavelet transform and machine learning methods." Biomedical Signal Processing and Control. 77, pp. 1-8. https://doi.org/10.1016/j.bspc.2022.103820Article
Drone-as-a-Service (DaaS) for COVID-19 self-testing kits delivery in smart healthcare setups: A technological perspective
Munawar, Hafiz Suliman, Akram, Junaid, Khan, Sara Imran, Ullah, Fahim and Choi, Bong Jun. 2023. "Drone-as-a-Service (DaaS) for COVID-19 self-testing kits delivery in smart healthcare setups: A technological perspective." ICT Express. 9 (4), pp. 748-753. https://doi.org/10.1016/j.icte.2022.09.008Article
Real-Time Depth of Anaesthesia Assessment Based on Hybrid Statistical Features of EEG
Huang, Yi, Wen, Peng, Song, Bo and Li, Yan. 2022. "Real-Time Depth of Anaesthesia Assessment Based on Hybrid Statistical Features of EEG." Sensors. 22 (16). https://doi.org/10.3390/s22166099Article
Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review
Gopalakrishnan, Abinaya, Venkataraman, Revathi, Gururajan, Raj, Xujuan, Zhou and Genrich, Rohan. 2022. "Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review." PeerJ Computer Science. 8, pp. 1-34. https://doi.org/10.7717/peerj-cs.1042Article
Forecasting Daily Flood Water Level Using Hybrid Advanced Machine Learning Based Time‑Varying Filtered Empirical Mode Decomposition Approach
Jamei, Mehdi, Ali, Mumtaz, Malik, Anurag, Prasad, Ramendra, Abdulla, Shahab and Yaseen, Zaher Mundher. 2022. "Forecasting Daily Flood Water Level Using Hybrid Advanced Machine Learning Based Time‑Varying Filtered Empirical Mode Decomposition Approach." Water Resources Management. 36 (12), p. 4637–4676. https://doi.org/10.1007/s11269-022-03270-6Article
Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction
Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David, Salcedo-sanz, Sancho, Sharma, Ekta and Ali, Mumtaz. 2022. "Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction." Measurement. 202, pp. 1-22. https://doi.org/10.1016/j.measurement.2022.111759Article
Introductory Engineering Mathematics Students’ Weighted Score Predictions Utilising a Novel Multivariate Adaptive Regression Spline Model
Ahmed, Abul Abrar Masrur, Deo, Ravinesh C., Ghimire, Sujan, Downs, Nathan J., Devi, Aruna, Barua, Prabal D. and Yaseen, Zaher M.. 2022. "Introductory Engineering Mathematics Students’ Weighted Score Predictions Utilising a Novel Multivariate Adaptive Regression Spline Model." Sustainability. 14 (17), pp. 1-27. https://doi.org/10.3390/su141711070Article
Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors
Ahmed, A. A. Masrur, Sharma, Ekta, Jui, S. Janifer Jabin, Deo, Ravinesh C., Nguyen-Huy, Thong and Ali, Mumtaz. 2022. "Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors." Remote Sensing. 14 (5), pp. 1-24. https://doi.org/10.3390/rs14051136Article
Cloud Affected Solar UV Predictions with Three-Phase Wavelet Hybrid Convolutional Long Short-Term Memory Network Multi-Step Forecast System
Prasad, Salvin S., Deo, Ravinesh C., Downs, Nathan, Igoe, Damien, Parisi, Alfio V. and Soar, Jeffrey. 2022. "Cloud Affected Solar UV Predictions with Three-Phase Wavelet Hybrid Convolutional Long Short-Term Memory Network Multi-Step Forecast System." IEEE Access. 10, pp. 24704-24720. https://doi.org/10.1109/ACCESS.2022.3153475Article
Development and evaluation of hybrid deep learning long short-term memory network model for pan evaporation estimation trained with satellite and ground-based data
Jayasinghe, W. J. M. Lakmini Prarthana, Deo, Ravinesh C., Ghahramani, Afshin, Ghimire, Sujan and Raj, Nawin. 2022. "Development and evaluation of hybrid deep learning long short-term memory network model for pan evaporation estimation trained with satellite and ground-based data." Journal of Hydrology. 607, pp. 1-19. https://doi.org/10.1016/j.jhydrol.2022.127534Article
Integrative artificial intelligence models for Australian coastal sediment lead prediction: An investigation of in-situ measurements and meteorological parameters effects
Bhagat, Suraj Kumar, Tiyasha, Tiyasha, Kumar, Adarsh, Malik, Tabarak, Jawad, Ali H., Khedher, Khaled Mohamed, Deo, Ravinesh C. and Yaseen, Zaher Mundher. 2022. "Integrative artificial intelligence models for Australian coastal sediment lead prediction: An investigation of in-situ measurements and meteorological parameters effects." Journal of Environmental Management. 309, pp. 1-16. https://doi.org/10.1016/j.jenvman.2022.114711Article
Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results
Ghimire, Sujan, Deo, Ravinesh C., Wang, Hua, Al-Musaylh, Mohanad S., Casillas-Perez, David and Salcedo-sanz, Sancho. 2022. "Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results." Energies. 15 (3), pp. 1-39. https://doi.org/10.3390/en15031061Article
SigRep: Towards Robust Wearable Emotion Recognition with Contrastive Representation Learning
Dissanayake, Vipula, Seneviratne, Sachith, Rana, Rajib, Wen, Elliot, Kaluarachchi, Tharindu and Nanayakkara, Suranga. 2022. "SigRep: Towards Robust Wearable Emotion Recognition with Contrastive Representation Learning." IEEE Access. 10, pp. 18105-18120. https://doi.org/10.1109/ACCESS.2022.3149509Article
Novel large scale brain network models for EEG epileptic pattern generations
Al-Hossenat, Auhood, Song, Bo, Wen, Peng and Li, Yan. 2022. "Novel large scale brain network models for EEG epileptic pattern generations." Expert Systems with Applications. 194. https://doi.org/10.1016/j.eswa.2021.116477Article
Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition
Latif, Siddique, Rana, Rajib, Khalifa, Sara, Jurdak, Raja, Epps, Julien and Schuller, Bjorn W.. 2022. "Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition." IEEE Transactions on Affective Computing. 13 (2), pp. 992-1004. https://doi.org/10.1109/TAFFC.2020.2983669Article
Understanding the emotional response to COVID-19 information in news and social media: A mental health perspective
Jones, Rosalind, Mougouei, Davoud and Evans, Simon L.. 2021. "Understanding the emotional response to COVID-19 information in news and social media: A mental health perspective." Human Behavior and Emerging Technologies. 3 (5), pp. 832-842. https://doi.org/10.1002/hbe2.304Article
Federated Learning with Real-world Datasets: Compliance with the Privacy Act
Tang, Zhaohui and Keoh, Sye Loong. 2022. "Federated Learning with Real-world Datasets: Compliance with the Privacy Act." Cho, Seongsoo (ed.) 9th International Conference on Advanced Engineering and ICT-Convergence (ICAEIC-2022). Jeju Island, Korea 13 - 15 Jul 2022 Seoul, Korea.Paper
Bat algorithm for dam–reservoir operation
Ethteram, Mohammad, Mousavi, Sayed-Farhad, Karami, Hojat, Farzin, Saeed, Deo, Ravinesh, Othman, Faridah Binti, Chau, Kwok-Wing, Sarkamaryan, Saeed, Singh, Vijay P. and El-Shafie, Ahmed. 2018. "Bat algorithm for dam–reservoir operation." Environmental Earth Sciences. 77 (13), pp. 1-15. https://doi.org/10.1007/s12665-018-7662-5Article
The influence of climatic inputs on stream-flow pattern forecasting: case study of Upper Senegal River
Diop, Lamine, Bodian, Ansoumana, Djaman, Koffi, Yaseen, Zaher Mundher, Deo, Ravinesh C., El-Shafie, Ahmed and Brown, Larry C.. 2018. "The influence of climatic inputs on stream-flow pattern forecasting: case study of Upper Senegal River." Environmental Earth Sciences. 77 (5). https://doi.org/10.1007/s1266Article
Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River
Raheli, Bahare, Aalami, Mohammad Taghi, El-Shafie, Ahmed, Ghorbani, Mohammad Ali and Deo, Ravinesh C.. 2017. "Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River." Environmental Earth Sciences. 76 (14). https://doi.org/10.1007/s12665-017-6842-zArticle
Reordering and Partitioning of Distributed Quantum Circuits
Dadkhah, Davood, Zomorodi, Mariam, Hosseini, Seyed Ebrahim, Plawiak, Pawel and Zhou, Xujuan. 2022. "Reordering and Partitioning of Distributed Quantum Circuits." IEEE Access. 10, pp. 70329-70341. https://doi.org/10.1109/ACCESS.2022.3186485Article
EmoChannelAttn: Exploring Emotional Construction Towards Multi-Class Emotion Classification
Li, Zongxi, Chen, Xinhong, Xie, Haoran, Li, Qing and Tao, Xiaohui. 2021. "EmoChannelAttn: Exploring Emotional Construction Towards Multi-Class Emotion Classification." He, Jing, Purohit, Hemant, Huang, Guangyan, Gao, Xiaoying and Deng, Ke (ed.) 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2020). Melbourne, Australia 14 - 17 Dec 2020 Massachusetts, United States. https://doi.org/10.1109/WIIAT50758.2020.00036Paper
Feature-aware unsupervised learning with joint variational attention and automatic clustering
Wang, Ru, Li, Lin, Wang, Peipei, Tao, Xiaohui and Liu, Peiyu. 2021. "Feature-aware unsupervised learning with joint variational attention and automatic clustering." 25th International Conference on Pattern Recognition (ICPR 2020). Milan, Italy 10 - 15 Jan 2021 United States. https://doi.org/10.1109/ICPR48806.2021.9412522Paper
Learning Cooperative Max-Pressure Control by Leveraging Downstream Intersections Information for Traffic Signal Control
Peng, Yuquan, Li, Lin, Xie, Qing and Tao, Xiaohui. 2021. "Learning Cooperative Max-Pressure Control by Leveraging Downstream Intersections Information for Traffic Signal Control." U, Leong Hou, Spaniol, Marc, Sakurai, Yasushi and Chen, Junying (ed.) 5th International Joint Conference on Asia-Pacific Web and Web-Age Information Management, Part II (APWeb-WAIM 2021). Guangzhou, China 23 - 25 Aug 2021 Switzerland. Springer. https://doi.org/10.1007/978-3-030-85899-5_29Paper
Event Detection in Social Media via Graph Neural Network
Gao, Wang, Fang, Yuan, Li, Lin and Tao, Xiaohui. 2021. "Event Detection in Social Media via Graph Neural Network." Zhang, Wenjie, Zou, Lei, Maamar, Zakaria and Chen, Lu (ed.) 22nd International Conference on Web Information Systems Engineering, Part I (WISE 2021). Melbourne, Australia 26 - 29 Oct 2021 Switzerland. Springer. https://doi.org/10.1007/978-3-030-90888-1_28Paper
Novel hybrid deep learning model for satellite based PM10 forecasting in the most polluted Australian hotspots
Sharma, Ekta, Deo, Ravinesh C., Soar, Jeffrey, Prasad, Ramendra, Parisi, Alfio V. and Raj, Nawin. 2022. "Novel hybrid deep learning model for satellite based PM10 forecasting in the most polluted Australian hotspots." Atmospheric Environment. 279, pp. 1-13. https://doi.org/10.1016/j.atmosenv.2022.119111Article
New double decomposition deep learning methods for river water level forecasting
Ahmed, A. A. Masrur, Deo, Ravinesh C., Ghahramani, Afshin, Feng, Qi, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2022. "New double decomposition deep learning methods for river water level forecasting." Science of the Total Environment. 831, pp. 1-21. https://doi.org/10.1016/j.scitotenv.2022.154722Article
Web Intelligence meets Brain Informatics: Towards the future of artificial intelligence in the connected world
Kuai, Hongzhi, Tao, Xiaohui and Zhong, Ning. 2022. "Web Intelligence meets Brain Informatics: Towards the future of artificial intelligence in the connected world." World Wide Web. 25, pp. 1223-1241. https://doi.org/10.1007/s11280-022-01030-5Article
Sentiment Analysis of Chinese E-commerce Reviews Based on BERT
Xie, Song, Cao, Jingjing, Wu, Zhou, Liu, Kai, Tao, Xiaohui and Xie, Haoran. 2021. "Sentiment Analysis of Chinese E-commerce Reviews Based on BERT." 18th IEEE International Conference on Industrial Informatics (INDIN 2020). Warwick, United Kingdom 21 - 23 Jul 2020 Piscataway, United States. https://doi.org/10.1109/INDIN45582.2020.9442190Paper
A Two-Stream Graph Convolutional Neural Network for Dynamic Traffic Flow Forecasting
Li, Zhaoyang, Li, Lin, Peng, Yuquan and Tao, Xiaohui. 2020. "A Two-Stream Graph Convolutional Neural Network for Dynamic Traffic Flow Forecasting." Alamaniotis, Miltos and Pan, Shimei (ed.) 32nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2020). Baltimore, United States 09 - 11 Nov 2020 Piscataway, United States. https://doi.org/10.1109/ICTAI50040.2020.00063Paper
Modeling and Selection of Interdependent Software Requirements Using Fuzzy Graphs
Mougouei, Davoud and Powers, David M. W.. 2017. "Modeling and Selection of Interdependent Software Requirements Using Fuzzy Graphs." International Journal of Fuzzy Systems. 19 (6), pp. 1812-1828. https://doi.org/10.1007/s40815-017-0364-4Article
Endurance of digital marketing with artificial intelligence
Rabby, Fazla, Chimhundu, Ranga and Hassan, Rumman. 2021. "Endurance of digital marketing with artificial intelligence." Bove, Liliana L., Bell, Simon J. and Hito, Abraham Hito (ed.) ANZMAC 2021: Something Different. Melbourne, Australia 29 Nov - 01 Dec 2021 Melbourne, Australia.Presentation
Trap Avoidance in Local Search Using Pseudo-Conflict Learning
Pham, Duc Nghia, Duong, Thach-Thao and Sattar, Abdul. 2012. "Trap Avoidance in Local Search Using Pseudo-Conflict Learning." 26th AAAI Conference on Artificial Intelligence (AAAI 2012). Toronto, Canada 22 - 26 Jul 2012 United States.Paper
Weight-Enhanced Diversification in Stochastic Local Search for Satisfiability
Duong, Thach-Thao, Pham, Duc Nghia, Sattar, Abdul and Newton, M. A. Hakim. 2013. "Weight-Enhanced Diversification in Stochastic Local Search for Satisfiability." Rossi, Francesca (ed.) 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). Beijing, China 03 - 09 Aug 2013Paper
Adaptive fault diagnosis for data replication systems
Wee, Chee Keong and Wee, Nathan. 2021. "Adaptive fault diagnosis for data replication systems." Qiao, Miao, Vossen, Gottfried, Wang, Sen and Li, Lei (ed.) 32nd Australasian Database Conference: Database Theory and Applications (ADC 2021). Dunedin, New Zealand 29 Jan - 05 Feb 2021 Cham, Switzerland. Springer. https://doi.org/10.1007/978-3-030-69377-0_11Paper
A fuzzy-based requirement selection method for considering value dependencies in software release planning
Mougouei, Davoud, Ghose, Aditya, Dam, Hoa, Fahmideh, Mahdi and Powers, David. 2021. "A fuzzy-based requirement selection method for considering value dependencies in software release planning." 30th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021). Luxembourg 11 - 14 Jul 2021 United States. https://doi.org/10.1109/FUZZ45933.2021.9494422Paper
Controlling Prosody in End-to-End TTS: A Case Study on Contrastive Focus Generation
Latif, Siddique, Kim, Inyoung, Calapodescu, Ioan and Besacier, Laurent. 2021. "Controlling Prosody in End-to-End TTS: A Case Study on Contrastive Focus Generation." 25th Conference on Computational Natural Language Learning (CoNLL 2021). Punta Cana, Dominican Republic 10 - 11 Nov 2021 Stroudsburg, Pennsylvania. https://doi.org/10.18653/v1/2021.conll-1.42Paper
An automatic scheme with diagnostic index for identification of normal and depression EEG signals
Akari, Hesam, Sadiq, Muhammad Tariq, Siuly, Siuly, Li, Yan and Wen, Peng (Paul). 2021. "An automatic scheme with diagnostic index for identification of normal and depression EEG signals." Siuly, Siuly, Wang, Hua, Chen, Lu, Guo, Yanhui and Xing, Chunxiao (ed.) 10th International Conference on Health Information Science (HIS 2021). Melbourne, Australia 25 - 28 Oct 2021 Switzerland. https://doi.org/10.1007/978-3-030-90885-0_6Paper
A federated learning based semi-supervised credit prediction approach enhanced by multi-layer label mean
Li, Lin, Long, Sijie, Bi, Jiaxiu, Wang, Guowei, Zhang, Jiawei and Tao, Xiaohui. 2021. "A federated learning based semi-supervised credit prediction approach enhanced by multi-layer label mean." Web Intelligence. 19 (4), pp. 329-342. https://doi.org/10.3233/WEB-210476Article
Navigation
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