46. Information and Computing Sciences
| Title | 46. Information and Computing Sciences |
|---|---|
| Parent | ANZSRC Field of Research |
Latest research outputs
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Cotton health assessment and yield prediction
McCarthy, Alison and Baillie, Craig. 2022. Cotton health assessment and yield prediction. United States. John Deere.Technical report
Future Farm: Improving farmer confidence in targeted N management through automated sensing and decision support
Bramley, Rob, Whelan, Brett, Colaco, André, McCarthy, Alison, Richetti, Jonathan, Lawes, Roger, Fajardo, Mario, Bender, Asher, Pothula, Anand, Baillie, Craig, Perry, Eileen, Fitzgerald, Glenn, Clancy, Alex, Leo, Stephen and Grace, Peter. 2022. Future Farm: Improving farmer confidence in targeted N management through automated sensing and decision support. Australia. Grains Research and Development Corporation.Technical report
Identifying sensors for better IPM in cotton: NEC1901
McCarthy, Alison, Long, Derek and Grundy, Paul. 2022. Identifying sensors for better IPM in cotton: NEC1901. Australia. Cotton Research and Development Corporation.Technical report
Multiple Graph Adaptive Regularized Semi-Supervised Nonnegative Matrix Factorization with Sparse Constraint for Data Representation
Zhang, Kexin, Li, Lingling, Di, Jinhong, Wang, Yi, Zhao, Xuezhuan and Zhang, Ji. 2022. "Multiple Graph Adaptive Regularized Semi-Supervised Nonnegative Matrix Factorization with Sparse Constraint for Data Representation." Processes. 10 (12). https://doi.org/10.3390/pr10122623Article
Learning discriminative representation with global and fine-grained features for cross-view gait recognition
Xiao, Jing, Yang, Huan, Xie, Kun, Zhu, Jia and Zhang, Ji. 2022. "Learning discriminative representation with global and fine-grained features for cross-view gait recognition." CAAI Transactions on Intelligence Technology. 7 (2), pp. 187-199. https://doi.org/10.1049/cit2.12051Article
OWSP-Miner: Self-adaptive One-off Weak-gap Strong Pattern Mining
Wu, Youxi, Wang, Xiaohui, Li, Yan, Guo, Lei, Li, Zhao, Zhang, Ji and Wu, Xindong. 2022. "OWSP-Miner: Self-adaptive One-off Weak-gap Strong Pattern Mining." ACM Transactions on Management Information Systems. 13 (3), pp. 1-23. https://doi.org/10.1145/3476247Article
Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes
Weng, Xi, Yan, Yan, Dong, Genshun, Shu, Chang, Wang, Biao, Wang, Hanzi and Zhang, Ji. 2022. "Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes." IEEE Transactions on Intelligent Transportation Systems. 23 (10), pp. 17224-17240. https://doi.org/10.1109/TITS.2022.3150350Article
Improving Friend Recommendation for Online Learning with Fine-Grained Evolving Interest
Shao, Ming-Min, Jiang, Wen-Jun, Wu, Jie, Shi, Yu-Qing, Yum, TakShing and Zhang, Ji. 2022. "Improving Friend Recommendation for Online Learning with Fine-Grained Evolving Interest." Journal of Computer Science and Technology. 37 (6), pp. 1444-1463. https://doi.org/10.1007/s11390-021-2124-zArticle
Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification
Pang, Yan, Huang, Teng, Wang, Zhen, Lin, Jianwei, Hosseini, Poorya, Zhang, Ji, Liu, Chao and Ai, Shan. 2022. "Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification ." International Journal of Intelligent Systems. 37 (11), pp. 8747-8769. https://doi.org/10.1002/int.22966Article
The ethical chatbot: A viable solution to socio-legal issues
Ng, Jenny, Haller, Emma and Murray, Angus. 2022. "The ethical chatbot: A viable solution to socio-legal issues." Alternative Law Journal . 47 (4), pp. 308-313. https://doi.org/10.1177/1037969X221113598Article
Two-Stream Graph Convolutional Neural Network for Dynamic Traffic Flow Forecasting
Li, Zhaoyang, Li, Lin and Tao, Xiaohui. 2022. "Two-Stream Graph Convolutional Neural Network for Dynamic Traffic Flow Forecasting." Journal of Frontiers of Computer Science and Technology. 16 (2), pp. 384-394. https://doi.org/10.3778/j.issn.1673-9418.2009097Article
An Auto-Encoder with Genetic Algorithm for High Dimensional Data: Towards Accurate and Interpretable Outlier Detection
Li, Jiamu, Zhang, Ji, Bah, Mohamed Jaward, Wang, Jian, Zhu, Youwen, Yang, Gaoming, Li, Lingling and Zhang, Kexin. 2022. "An Auto-Encoder with Genetic Algorithm for High Dimensional Data: Towards Accurate and Interpretable Outlier Detection." Algorithms. 15 (11). https://doi.org/10.3390/a15110429Article
Lightweight Mutual Authentication Scheme Enabled by Stateless Blockchain for UAV Networks
Kong, Lingjun, Chen, Bing, Hu, Feng and Zhang, Ji. 2022. "Lightweight Mutual Authentication Scheme Enabled by Stateless Blockchain for UAV Networks." Security and Communication Networks. 2022. https://doi.org/10.1155/2022/2330052Article
Explainable diabetes classification using hybrid Bayesian-optimized TabNet architecture
Joseph, Lionel P., Joseph, Erica A. and Prasad, Ramendra. 2022. "Explainable diabetes classification using hybrid Bayesian-optimized TabNet architecture." Computers in Biology and Medicine. 151 (Part A). https://doi.org/10.1016/j.compbiomed.2022.106178Article
A Survey on Contact Tracing: The Latest Advancements and Challenges
Jiang, Ting, Zhang, Yang Zhang, Zhang, Minhao, Yu, Ting, Chen, Yizheng, Lu, Chenhao, Zhang, Ji, Li, Zhao, Gao, Jun and Zhou, Shuigeng. 2022. "A Survey on Contact Tracing: The Latest Advancements and Challenges." ACM Transactions on Spatial Algorithms and Systems. 8 (2), pp. 1-35. https://doi.org/10.1145/3494529Article
Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention
Hou, Linlin, Zhang, Ji, Wu, Ou, Yu, Ting, Wang, Zhen, Li, Zhao, Gao, Jianliang, Ye, Yingchun and Yao, Rujing. 2022. "Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention." Knowledge-Based Systems. 235. https://doi.org/10.1016/j.knosys.2021.107621Article
The influence of customer trust and artificial intelligence on customer engagement and loyalty – The case of the home-sharing industry
Chen, Ying, Prentice, Catherine, Weaven, Scott and Hisao, Aaron. 2022. "The influence of customer trust and artificial intelligence on customer engagement and loyalty – The case of the home-sharing industry." Frontiers in Psychology. 13. https://doi.org/10.3389/fpsyg.2022.912339Article
Extracting epileptic features in EEGs using a dual-tree complex wavelet transform coupled with a classification algorithm
Al-Salman, Wessam, Li, Yan, Wen, Peng, Miften, Firas Sabar, Oudah, Atheer Y. and Ghayab, Hadi Ratham Al. 2022. "Extracting epileptic features in EEGs using a dual-tree complex wavelet transform coupled with a classification algorithm." Brain Research. 1779. https://doi.org/10.1016/j.brainres.2022.147777Article
Large-scale brain network model and multi-band electroencephalogram rhythm simulations
Al-Hossenat, Auhood, Wen, Peng and Li, Yan. 2022. "Large-scale brain network model and multi-band electroencephalogram rhythm simulations." International Journal of Biomedical Engineering and Technology. 38 (4), pp. 395-409. https://doi.org/10.1504/IJBET.2022.123153Article
Blockchain Meets Secured Microservice Architecture: A Trustworthy Consensus Algorithm
Ahmed, Mohiuddin, Suaib Akhter, A. F. M., Suaib Rashid, A. F. M., Fahmideh, Mahdi, Pathan, Al-Sakib Khan and Anwar, Adnan. 2022. "Blockchain Meets Secured Microservice Architecture: A Trustworthy Consensus Algorithm ." 19th International Conference on Wireless Networks and Mobile Systems (WINSYS 2022)). Lisbon, Portugal 11 - 13 Jul 2022 Portugal. Scitepress. https://doi.org/10.5220/0011290400003286Paper
Blockchain Developments and Innovations – An Analytical Evaluation of Software Engineering Approaches
Fahmideh, Mahdi, Gunawardana, Anuradha, Chen, Shiping, Shen, Jun and Yecies, Brian. 2022. "Blockchain Developments and Innovations – An Analytical Evaluation of Software Engineering Approaches ." 2021 International Conference on Internet of Things (ICIOT 2021) . Online 10 - 14 Dec 2021 Switzerland . Springer. https://doi.org/10.1007/978-3-030-96068-1_5Paper
Application of Emerging Digital Technologies in Self-monitoring of Health and Water Usage
Ahmed, Sajjad. 2022. Application of Emerging Digital Technologies in Self-monitoring of Health and Water Usage. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/yy226PhD by Publication
The impact of digital marketing on consumer buying behaviour in the residential real estate industry: A case study of Sydney
Rabby, Fazla. 2022. The impact of digital marketing on consumer buying behaviour in the residential real estate industry: A case study of Sydney. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/yw70vPhD Thesis
Event Detection from Web Data in Chinese Based on Bi-LSTM with Attention
Wu, Yuxin, Xu, Zenghui, Li, Hongzhou, Gan, Yuquan, Ying, Josh Jia-Ching, Yu, Ting and Zhang, Ji. 2022. "Event Detection from Web Data in Chinese Based on Bi-LSTM with Attention." 18th International Conference on Advanced Data Mining and Applications (ADMA 2022). Brisbane, Australia 28 - 30 Nov 2022 Switzerland. https://doi.org/10.1007/978-3-031-22064-7_8Paper
Feasibility Study on Condition Monitoring of Power Network Asset Using PMU Measurements
Bai, Feifei, Cui, Yi, Zhang, Ge, Dart, David, Yaghoobi, Jalil and Zillmann, Matthew. 2022. "Feasibility Study on Condition Monitoring of Power Network Asset Using PMU Measurements." 2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia). Shanghai, China 08 - 11 Jul 2022 China. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICPSAsia55496.2022.9949946Paper
Machine Learning-based Cybersecurity Defence of Wide-area Monitoring Systems
He, Qian, Bai, Feifei, Cui, Yi and Zillmann, Matthew. 2022. "Machine Learning-based Cybersecurity Defence of Wide-area Monitoring Systems." 2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia). Shanghai, China 08 - 11 Jul 2022 China. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICPSAsia55496.2022.9949686Paper
Multi-step daily forecasting of reference evapotranspiration for different climates of India: A modern multivariate complementary technique reinforced with ridge regression feature selection
Malik, Anurag, Jamei, Mehdi, Ali, Mumtaz, Prasad, Ramendra, Karbasi, Masoud and Yaseen, Zaher Mundher. 2022. "Multi-step daily forecasting of reference evapotranspiration for different climates of India: A modern multivariate complementary technique reinforced with ridge regression feature selection." Agricultural Water Management. 272. https://doi.org/https://doi.org/10.1016/j.agwat.2022.107812Article
Introduction to ‘Pedagogy of Active and Practical Learning Online’
Kist, Alexander A.. 2022. "Introduction to ‘Pedagogy of Active and Practical Learning Online’." Learning with Technologies and Technologies in Learning. Switzerland. Springer. pp. 363-366Edited book (chapter)
Understanding requisite trust factors for shareholders of ASX listed banks using artificial intelligence in online public relations communication
Batch, Catherine. 2022. Understanding requisite trust factors for shareholders of ASX listed banks using artificial intelligence in online public relations communication. PhD Thesis Doctor of Philosophy . University of Southern Queensland. https://doi.org/10.26192/wv12yPhD Thesis
Development and evaluation of it service management digital commons - a case study
Ramakrishnan, M.. 2022. Development and evaluation of it service management digital commons - a case study. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/wq850PhD Thesis
Deep Representation Learning for Speech Emotion Recognition
Latif, Siddique. 2022. Deep Representation Learning for Speech Emotion Recognition. PhD by Publication Doctor of Philosophy (DPHD). University of Southern Queensland. https://doi.org/10.26192/w8w00PhD by Publication
Digital Transformation Towards Ambidextrous Learning Organization using Cloud Computing: A Systematic Literature Review
Saratchandra, Minu, Shrestha, Anup and Murray, Peter A.. 2022. "Digital Transformation Towards Ambidextrous Learning Organization using Cloud Computing: A Systematic Literature Review." 35th Australian and New Zealand Academy of Management Conference (ANZAM 2022). Australia 06 - 07 Dec 2022 Australia. Australian and New Zealand Academy of Management.Paper
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
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
Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer
Karbasi, Masoud, Jamei, Mehdi, Ali, Mumtaz, Malik, Anurag and Yaseen, Zaher Mundher. 2022. "Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer." Computers and Electronics in Agriculture. 198, pp. 1-17. https://doi.org/10.1016/j.compag.2022.107121Article
Aiming Sustainable Transportation Utilizing Social Capital: A Perspective of Mobile Car Park App
Song Bo, Ahad, Md Taimur, Li, Yan and Rahman, F.M. Nafis. 2022. "Aiming Sustainable Transportation Utilizing Social Capital: A Perspective of Mobile Car Park App ." Mobile Information Systems. 2022. https://doi.org/10.1155/2022/5606833Article
Development and Validation of a Dynamic Tool to Predict Aggressive Patient Behaviours in Hospital Settings: Artificial Intelligence-Based Approaches
Gururajan, R, Kondalsamy-Chennakesavan, S, Zhou, X. and Boon, K. 2022. "Development and Validation of a Dynamic Tool to Predict Aggressive Patient Behaviours in Hospital Settings: Artificial Intelligence-Based Approaches." Royal Australian College of Physicians (RACP) Congress 2022. Sydney, Australia 15 - 19 May 2022 SAGE Publications Ltd.Other
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
Improving pasture growth assessment using machine vision
McCarthy, Alison, Raedts, Pieter, Foley, Joseph and Hills, James. 2022. "Improving pasture growth assessment using machine vision." Australasian Dairy Science Symposium 2022 (ADSS 2022). Twin Waters, Australia 30 Nov - 02 Dec 2022Paper
Daylight illumination compensation for in-field camera systems
Moore, Peter L.. 2022. Daylight illumination compensation for in-field camera systems. Masters Thesis Master of Science (Research). University of Southern Queensland. https://doi.org/10.26192/q7q96Masters Thesis