4602. Artificial intelligence
| Title | 4602. Artificial intelligence |
|---|---|
| Parent | 46. Information and Computing Sciences |
Latest research outputs
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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
Stroke Localization Using Multiple Ridge Regression Predictors Based on Electromagnetic Signals
Gao, Shang, Zhu, Guohun, Bialkowski, Alina and Zhou, Xujuan. 2023. "Stroke Localization Using Multiple Ridge Regression Predictors Based on Electromagnetic Signals." Mathematics. 11 (2), pp. 1-9. https://doi.org/10.3390/math11020464Article
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Li, Li, Gururajan, Raj, Zhou, Xujuan and Acharya, U. Rajendra. 2023. "Remote patient monitoring using artificial intelligence: Current state, applications, and challenges." WIREs Data Mining and Knowledge Discovery. 13 (2). https://doi.org/10.1002/widm.1485Article
Deep learning U-Net classification of Sentinel-1 and 2 fusions effectively demarcates tropical montane forest's deforestation
Altarez, Richard Dein D., Apan, Armando and Maraseni, Tek. 2023. "Deep learning U-Net classification of Sentinel-1 and 2 fusions effectively demarcates tropical montane forest's deforestation." Remote Sensing Applications: Society and Environment. 29. https://doi.org/10.1016/j.rsase.2022.100887Article
Speech Synthesis with Mixed Emotions
Zhou, Kun, Sisman, Berrak, Rana, R., Schuller, Bjorn W. and Li, Haizhou. 2023. "Speech Synthesis with Mixed Emotions." IEEE Transactions on Affective Computing. 14 (4), pp. 3120-3134. https://doi.org/10.1109/TAFFC.2022.3233324Article
Dependency-aware software requirements selection using fuzzy graphs and integer programming
Mougouei, Davoud and Powers, David M.W.. 2021. "Dependency-aware software requirements selection using fuzzy graphs and integer programming." Expert Systems with Applications. 167, pp. 1-23. https://doi.org/10.1016/j.eswa.2020.113748Article
Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm
Jayasinghe, W. J. M. Lakmini Prarthana, Deo, Ravinesh C., Ghahramani, Afshin, Ghimire, Sujan and Raj, Nawin. 2021. "Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm." IEEE Access. 9, pp. 166695-166708. https://doi.org/10.1109/ACCESS.2021.3135362Article
Dependency-aware release planning for software projects using fuzzy graphs and integer programming
Mougouei, Davoud and Powers, David M. W.. 2019. "Dependency-aware release planning for software projects using fuzzy graphs and integer programming." Journal of Intelligent and Fuzzy Systems. 37 (3), pp. 3693-3707. https://doi.org/10.3233/JIFS-182810Article
A fuzzy framework for prioritization and partial selection of security requirements in software projects
Mougouei, Davoud, Powers, David M.W. and Mougouei, Elahe. 2019. "A fuzzy framework for prioritization and partial selection of security requirements in software projects." Journal of Intelligent and Fuzzy Systems. 37 (2), pp. 2671-2686. https://doi.org/10.3233/JIFS-182907Article
A hierarchical classification/regression algorithm for improving extreme wind speed events prediction
Pelaez-Rodriguez, C., Perez-Aracil, J., Fister, D, Prieto-Godino, L., Deo, R.C. and Salcedo-sanz, S.. 2022. "A hierarchical classification/regression algorithm for improving extreme wind speed events prediction." Renewable Energy. 201 (Part 2), pp. 157-178. https://doi.org/10.1016/j.renene.2022.11.042Article
Predicting Women with Postpartum Depression Symptoms Using Machine Learning Techniques
Gopalakrishnan, Abinaya, Venkataraman, Revathi, Gururajan, Raj, Zhou, Xujuan and Zhu, Guohun. 2022. "Predicting Women with Postpartum Depression Symptoms Using Machine Learning Techniques." Mathematics. 10 (23). https://doi.org/10.3390/math10234570Article
Using Sequence-to-Sequence Models for Carrier Frequency Offset Estimation of Short Messages and Chaotic Maps
Davey, Christopher P., Shakeel, Ismail, Deo, Ravinesh C., Salcedo-sanz, Sancho and Soar, Jeffrey. 2022. "Using Sequence-to-Sequence Models for Carrier Frequency Offset Estimation of Short Messages and Chaotic Maps." IEEE Access. 10, pp. 119814 - 119825. https://doi.org/10.1109/ACCESS.2022.3221762Article
Designing a Multi-Stage Expert System for daily ocean wave energy forecasting: A multivariate data decomposition-based approach
Jamei, Mehdi, Ali, Mumtaz, Karbasi, Masoud, Xiang, Yong, Ahmadianfar, Iman and Yaseen, Zaher Mundher. 2022. "Designing a Multi-Stage Expert System for daily ocean wave energy forecasting: A multivariate data decomposition-based approach ." Applied Energy. 326, pp. 1-24. https://doi.org/10.1016/j.apenergy.2022.119925Article
Modelling and Real-time Optimisation of Air Quality Predictions for Australia through Artificial Intelligence Algorithm
Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra and Parisi, Alfio V.. 2019. "Modelling and Real-time Optimisation of Air Quality Predictions for Australia through Artificial Intelligence Algorithm." AMSI Optimise 2019. Perth, Australia 17 - 21 Jun 2019 Perth, Australia.Poster
Sleep stage classification in EEG signals using the clustering approach based probability distribution features coupled with classification algorithms
Al-Salman, Wessam, Li, Yan, Oudah, Atheer Y. and Almaged, Sadiq. 2023. "Sleep stage classification in EEG signals using the clustering approach based probability distribution features coupled with classification algorithms." Neuroscience Research. https://doi.org/10.1016/j.neures.2022.09.009Article
A Convolutional Long Short-Term Memory-Based Neural Network for Epilepsy Detection From EEG
Tawhid, Md. Nurul Ahad, Siuly, Siuly and Li, Tianning. 2022. "A Convolutional Long Short-Term Memory-Based Neural Network for Epilepsy Detection From EEG." IEEE Transactions on Instrumentation and Measurement. 71, pp. 1-11. https://doi.org/10.1109/TIM.2022.3217515Article
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
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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