4602. Artificial intelligence
| Title | 4602. Artificial intelligence |
|---|---|
| Parent | 46. Information and Computing Sciences |
Latest research outputs
Sort by Date Title
Revolutionizing healthcare with federated reinforcement learning: from machine learning to machine unlearning
Shaik, Thanveer Basha. 2023. Revolutionizing healthcare with federated reinforcement learning: from machine learning to machine unlearning. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z6096PhD by Publication
Hyperspectral Anomaly Detection based on Autoencoder using Superpixel Manifold Constraint
Gan, Yuquan, Liu, Wenqiang, Liu, Ying, He, Jinglu and Zhang, Ji. 2023. "Hyperspectral Anomaly Detection based on Autoencoder using Superpixel Manifold Constraint." 2022 5th International Conference on Artificial Intelligence and Pattern Recognition (AIPR 2022). Xiamen China 23 - 25 Sep 2022 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3573942.3574108Paper
A Generative Adversarial Active Learning Method for Effective Outlier Detection
Bah, Mohamed Jaward, Zhang, Ji, Yu, Ting, Xia, Feng, Li, Zhao, Zhou, Shuigeng and Wang, Hongzhi. 2023. "A Generative Adversarial Active Learning Method for Effective Outlier Detection." 34th International Conference on Tools with Artificial Intelligence (ICTAI 2022). Macao, China 31 Oct - 02 Nov 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICTAI56018.2022.00027Paper
A discussion support system to rapidly assess economic and environmental impacts of different sugarcane irrigation practices
Collins, Brian, Attard, Steve, Banhalmi-Zakar, Zsuzsa and Everingham, Yvette. 2023. "A discussion support system to rapidly assess economic and environmental impacts of different sugarcane irrigation practices." Computers and Electronics in Agriculture. 215. https://doi.org/10.1016/j.compag.2023.108380Article
VPFL: A verifiable privacy-preserving federated learning scheme for edge computing systems
Zhang, Jiale, Liu, Yue, Wu, Di, Lou, Shuai, Chen, Bing and Yu, Shui. 2023. "VPFL: A verifiable privacy-preserving federated learning scheme for edge computing systems." Digital Communications and Networks. 9 (4), pp. 981-989. https://doi.org/10.1016/j.dcan.2022.05.010Article
Solar ultraviolet radiation predictions under cloud cover effects with artificial intelligence approaches
Prasad, Salvin Sanjesh. 2023. Solar ultraviolet radiation predictions under cloud cover effects with artificial intelligence approaches. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z3qq0PhD by Publication
Attribute Selection Hybrid Network Model for risk factors analysis of postpartum depression using Social media
Gopalakrishnan, Abinaya, Gururajan, Raj, Venkataraman, Revathi, Zhou, Xujuan, Chan, Ka Chan, Saravanan, Arul and Sen, Maitrayee. 2023. "Attribute Selection Hybrid Network Model for risk factors analysis of postpartum depression using Social media." Brain Informatics. 10. https://doi.org/10.1186/s40708-023-00206-7Article
A Modified Quantum-Inspired Genetic Algorithm Using Lengthening Chromosome Size and an Adaptive Look-Up Table to Avoid Local Optima
Hakemi, Shahin, Houshmand, Mahboobeh, Hosseini, Seyyed Abed and Zhou, Xujuan. 2023. "A Modified Quantum-Inspired Genetic Algorithm Using Lengthening Chromosome Size and an Adaptive Look-Up Table to Avoid Local Optima." Axioms. 12 (10). https://doi.org/10.3390/axioms12100978Article
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
An Adaptive Feature Fusion Network for Alzheimer’s Disease Prediction
Wei, Shicheng, Li, Yan and Yang, Wencheng. 2023. "An Adaptive Feature Fusion Network for Alzheimer’s Disease Prediction." 12th International Conference on Health Information Science (HIS 2023). Melbourne, Australia 23 - 24 Oct 2023 Germany. https://doi.org/10.1007/978-981-99-7108-4Paper
An Introduction to Programming Physics-Informed Neural Network-Based Computational Solid Mechanics
Bai, Jinshuai, Jeong, Hyogu, Batuwatta-Gamage, C. P., Xiao, Shusheng, Wang, Qingxia, Rathnayaka, C.M., Alzubaidi, Laith, Liu, Gui-Rong and Gu, Yuantong. 2023. "An Introduction to Programming Physics-Informed Neural Network-Based Computational Solid Mechanics." International Journal of Computational Methods. 20 (10). https://doi.org/10.1142/S0219876223500135Article
HGSOXGB: Hunger-Games-Search-Optimization-Based Framework to Predict the Need for ICU Admission for COVID-19 Patients Using eXtreme Gradient Boosting
Pinki, Farhana Tazmim, Awal, Md Abdul, Mumenin, Khondoker Mirazu, Hossain, Md. Shahadat, Faysal, Jabed Al, Rana, Rajib, Almuqren, Rajib, Ksibi, Amel and Samad, Md Abdus. 2023. "HGSOXGB: Hunger-Games-Search-Optimization-Based Framework to Predict the Need for ICU Admission for COVID-19 Patients Using eXtreme Gradient Boosting." Mathematics. 11 (18). https://doi.org/10.3390/math11183960Article
Information fusion in crime event analysis: A decade survey on data, features and models
Hu, Kaixi, Li, Lin, Tao, Xiaohui, Velasquez, Juan D. and Delaney, Patrick. 2023. "Information fusion in crime event analysis: A decade survey on data, features and models." Information Fusion. 100. https://doi.org/10.1016/j.inffus.2023.101904Article
An Efficient Embedding Framework for Uncertain Attribute Graph
Jiang, Ting, Yu, Ting, Qiao, Xueting and Zhang, Ji. 2023. "An Efficient Embedding Framework for Uncertain Attribute Graph." 34th International Conference on Database and Expert Systems Applications (DEXA 2023). Penang, Malaysia 28 - 30 Aug 2023 Switzerland . https://doi.org/10.1007/978-3-031-39821-6_18Paper
DeepSafety: a deep neural network-based edge computing framework for detecting unsafe behaviors of construction workers
Zhang, Ji, Liu, Chia-Chun and Ying, Josh Jia-Ching. 2023. "DeepSafety: a deep neural network-based edge computing framework for detecting unsafe behaviors of construction workers." Journal of Ambient Intelligence and Humanized Computing. 14 (12), pp. 15997-16009. https://doi.org/10.1007/s12652-023-04554-4Article
An efficient hardware accelerator for monotonic graph algorithms on dynamic directed graphs
Yang, Yun, Yu, Hui, Zhao, Jin, Zhang, Yu, Liao, Xiaofei, Jiang, Xinyu, Jin, Hai, Liu, Haikun, Mao, Fubing, Zhang, Ji and Wang, Biao. 2023. "An efficient hardware accelerator for monotonic graph algorithms on dynamic directed graphs." Scientia Sinica Informationis. 53 (8), pp. 1575-1592. https://doi.org/10.1360/SSI-2022-0191Article
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. 2023. "Toward Learning Joint Inference Tasks for IASS-MTS Using Dual Attention Memory With Stochastic Generative Imputation." IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2023.3305542Article
Hybrid KD-NFT: A multi-layered NFT assisted robust Knowledge Distillation framework for Internet of Things
Wang, Nai, Chen, Junjun, Wu, Di, Yang, Wencheng, Xiang, Yong and Sajjanhar, Atul. 2023. "Hybrid KD-NFT: A multi-layered NFT assisted robust Knowledge Distillation framework for Internet of Things." Journal of Information Security and Applications. 75. https://doi.org/10.1016/j.jisa.2023.103483Article
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering
Siriwardhana, Shamane, Weerasekera, Rivindu, Wen, Elliott, Kaluarachchi, Tharindu, Rana, Rajib and Nanayakkara, Suranga. 2023. "Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering." Transactions of the Association for Computational Linguistics. 11, pp. 1-17. https://doi.org/10.1162/tacl_a_00530Article
Artificial intelligence as a boundary-crossing object for employee engagement and performance
Prentice, Catherine, Wong, IpKin Anthony and Lin, Zhiwei. 2023. "Artificial intelligence as a boundary-crossing object for employee engagement and performance." Journal of Retailing and Consumer Services. 73. https://doi.org/10.1016/j.jretconser.2023.103376Article
Engaging with intelligent voice assistants for wellbeing and brand attachment
Prentice, Catherine, Loureiro, Sandra Maria Correia and Guerreiro, João. 2023. "Engaging with intelligent voice assistants for wellbeing and brand attachment." Journal of Brand Management. 30 (5), pp. 449-460. https://doi.org/10.1057/s41262-023-00321-0Article
High-Order Correlation-Guided Slide-Level Histology Retrieval with Self-Supervised Hashing
Li, Shengrui, Zhao, Yining, Zhang, Jun, Yu, Ting, Zhang, Ji and Gao, Yue. 2023. "High-Order Correlation-Guided Slide-Level Histology Retrieval with Self-Supervised Hashing." IEEE Transactions on Pattern Analysis and Machine Intelligence. 45 (9), pp. 11008-11023. https://doi.org/10.1109/TPAMI.2023.3269810Article
Class-Level Logit Perturbation
Li, Mengyang, Su, Fengguang, Wu, Ou and Zhang, Ji. 2023. "Class-Level Logit Perturbation." IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2023.3273355Article
A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images
Inamdar, Mahesh Anil, Raghavendra, U., Gudigar, Anjan, Bhandary, Sarvesh, Salvi, Massimo, Deo, Ravinesh C., Barua, Prabal Datta, Ciaccio, Edward J., Molinari, Filippo and Acharya, RU. Rajendra. 2023. "A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images." IEEE Access. 11, pp. 108982-108994. https://doi.org/10.1109/ACCESS.2023.3321273Article
Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review
Hossain, Elias, Rana, Rajib, Higgins, Niall, Soar, Jeffrey, Barua, Prabal Datta, Pisani, Anthony R. and Turner, Kathryn. 2023. "Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review." Computers in Biology and Medicine. 155. https://doi.org/10.1016/j.compbiomed.2023.106649Article
Towards Cross-Lingual Multi-Modal Misinformation Detection for E-Commerce Management
He, Yifan, Li, Zhao, Li, Zhenpeng, Zhou, Shuigeng, Yu, Ting and Zhang, Ji. 2023. "Towards Cross-Lingual Multi-Modal Misinformation Detection for E-Commerce Management." IEEE Transactions on Network and Service Management. 20 (2), pp. 1040-1050. https://doi.org/10.1109/TNSM.2023.3234114Article
Comparison of CNN-based deep learning architectures for rice diseases classification
Ahad, Md Taimur, Li, Yan, Song, Bo and Bhuiyan, Touhid. 2023. "Comparison of CNN-based deep learning architectures for rice diseases classification." Artificial Intelligence in Agriculture. 9, pp. 22-35. https://doi.org/10.1016/j.aiia.2023.07.001Article
Evaporation and soil moisture prediction with artificial intelligence and deep learning methods
Jayasinghe Mudiyanselage, W.J.M. Lakmini Prarthana. 2023. Evaporation and soil moisture prediction with artificial intelligence and deep learning methods. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z1zw4PhD by Publication
Integrated Multi-Head Self-Attention Transformer model for electricity demand prediction incorporating local climate variables
Ghimire, Sujan, Nguyen-Huy, Thong, AL-Musaylh, Mohanad S., Deo, Ravinesh C., Casillas-Perez, David and Salcedo-sanz, Sancho. 2023. "Integrated Multi-Head Self-Attention Transformer model for electricity demand prediction incorporating local climate variables." Energy and AI. 14. https://doi.org/10.1016/j.egyai.2023.100302Article
A novel epileptic seizure prediction method based on synchroextracting transform and 1-dimensional convolutional neural network
Ra, Jee Sook, Li, Tianning and Li, Yan. 2023. "A novel epileptic seizure prediction method based on synchroextracting transform and 1-dimensional convolutional neural network." Computer Methods and Programs in Biomedicine. 240. https://doi.org/https://doi.org/10.1016/j.cmpb.2023.107678Article
Artificial Intelligence in the Interpretation of Videofluoroscopic Swallow Studies: Implications and Advances for Speech–Language Pathologists
Girardi, Anna M., Cardell, Elizabeth A. and Bird, Stephen P.. 2023. "Artificial Intelligence in the Interpretation of Videofluoroscopic Swallow Studies: Implications and Advances for Speech–Language Pathologists ." Big Data and Cognitive Computing. 7 (4). https://doi.org/10.3390/bdcc7040178Article
Video face forgery detection via facial motion-assisted capturing dense optical flow truncation
Yang, Gaoming, Xu, Kun, Fang, Xianjin and Zhang, Ji. 2023. "Video face forgery detection via facial motion-assisted capturing dense optical flow truncation." The Visual Computer. 39 (11), pp. 5589-5608. https://doi.org/10.1007/s00371-022-02683-zArticle
RSFace: subject agnostic face swapping with expression high fidelity
Yang, Gaoming, Wang, Tao, Fang, Xianjin and Zhang, Ji. 2023. "RSFace: subject agnostic face swapping with expression high fidelity." The Visual Computer. 39 (11), pp. 5497-5511. https://doi.org/10.1007/s00371-022-02675-zArticle
Prediction of Mean Sea Level with GNSS-VLM Correction Using a Hybrid Deep Learning Model in Australia
Raj, Nawin and Brown, Jason. 2023. "Prediction of Mean Sea Level with GNSS-VLM Correction Using a Hybrid Deep Learning Model in Australia." Remote Sensing. 15 (11).Article
Topic Integrated Opinion-Based Drug Recommendation With Transformers
Job, Simi, Tao, Xiaohui, Li, Y., Li, Lin and Yong, Jianming. 2023. "Topic Integrated Opinion-Based Drug Recommendation With Transformers ." IEEE Transactions on Emerging Topics in Computational Intelligence. 7 (6), pp. 1676-1686. https://doi.org/10.1109/TETCI.2023.3246559Article
A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction
Ghimire, Sujan, Nguyen-Huy, Thong, AL-Musaylh, Mohanad S., Deo, Ravinesh, Casillas-Perez, David and Salcedo-sanz, Sancho. 2023. "A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction." Energy. 275, p. 127430. https://doi.org/10.1016/j.energy.2023.127430Article
Development of neutrosophic cubic hesitant fuzzy exponential aggregation operators with application in environmental protection problems
Rehman, Ateeq Ur, Gulistan, Muhammad, Ali, Mumtaz, M.Al‑Shamiri, Mohammed M. and Abdulla, Shahab. 2023. "Development of neutrosophic cubic hesitant fuzzy exponential aggregation operators with application in environmental protection problems." Scientific Reports. 13, pp. 1-18. https://doi.org/10.1038/s41598-022-22399-3Article
Near real-time wind speed forecast model with bidirectional LSTM networks
Joseph, Lionel P., Deo, Ravinesh C., Prasad, Ramendra, Salcedo-Sanz, Sancho, Raj, Nawin and Soar, Jeffrey. 2023. "Near real-time wind speed forecast model with bidirectional LSTM networks." Renewable Energy. 204, pp. 39-58. https://doi.org/10.1016/j.renene.2022.12.123Article
Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images
Deo, Ravinesh C., Karalasingham, Sagthitharan, Casillas-Perez, David, Raj, Narwin and Salcedo-sanz, Sancho. 2023. "Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images." IEEE Access. 11, pp. 5558-5577. https://doi.org/10.1109/ACCESS.2023.3236253Article
Designing pentapartitioned neutrosophic cubic set aggregation operator-based air pollution decision-making model
Li, Yi-ming, Khan, Majid, Khurshid, Adnan, Gulistan, Muhammad, Rehman, Ateeq Ur, Ali, Mumtaz, Abdulla, Shahab and Farooque, Aitazaz A.. 2023. "Designing pentapartitioned neutrosophic cubic set aggregation operator-based air pollution decision-making model ." Complex and Intelligent Systems. https://doi.org/10.1007/s40747-023-00971-2Article
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