46. Information and Computing Sciences


Title46. Information and Computing Sciences
ParentANZSRC Field of Research

Latest research outputs

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Decentralized Blockchain Network
Abduljabbar, Tamara Abdulmunim, Tao, Xiaohui, Zhang, Ji, Yong, Jianming and Zhou, Xujuan. 2023. "Decentralized Blockchain Network." 2022 Tenth International Conference on Advanced Cloud and Big Data (CBD). Guilin, China 04 - 05 Nov 2022 China. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CBD58033.2022.00049

Paper

Maintenance check flight accidents (a new approach to air safety investigations)
Nagy, Zsolt Jay. 2023. Maintenance check flight accidents (a new approach to air safety investigations). PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z58x7

PhD Thesis

Privacy in the age of remote sensing during natural disasters in Australia and Indonesia
Lawal, Temitope, Jackson, Melanie and Georgiades, Eugenia. 2023. "Privacy in the age of remote sensing during natural disasters in Australia and Indonesia." Digital Law Journal. 4 (2), pp. 15-39. https://doi.org/10.38044/2686-9136-2023-4-2-15-39

Article

Privacy Risks and Legal Jurisprudence in the Emerging Metaverse: Evaluating the Use of Digital Avatar Personas for Governance and Data Privacy Law Reform
Georgiades, Eugenia, Birt, James R. and Svantesson, Dan Jerker B. 2023. Privacy Risks and Legal Jurisprudence in the Emerging Metaverse: Evaluating the Use of Digital Avatar Personas for Governance and Data Privacy Law Reform. Australia. Bond University.

Project report

Selection of Cloud Service Providers: A Fuzzy-set Qualitative Comparative Analysis Approach
Hossain, Mohammad Alamgir, Sabani, Alvedi, Lokuge, Sachithra, Boo, Yee Ling and Kaisar, Shahriar. 2023. "Selection of Cloud Service Providers: A Fuzzy-set Qualitative Comparative Analysis Approach." IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT (TDIT 2023). Nagpur, India 15 - 16 Dec 2023 Switzerland. Springer. https://doi.org/10.1007/978-3-031-50204-0_35

Paper

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.2023.108380

Article

Cybersecurity Defence of Synchrophasors in Distribution Systems: A Deep Learning Approach
Zhang, Ge, Cui, Yi, Zhang, Ruiyuan and Bai, Feifei. 2023. "Cybersecurity Defence of Synchrophasors in Distribution Systems: A Deep Learning Approach." 2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG). Wollongong, Australia 03 - 06 Dec 2023 Australia. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ETFG55873.2023.10407305

Paper

Data privacy and system security on cloud computing architechture for banking and financial services industry
Mahalle, Abhishek. 2023. Data privacy and system security on cloud computing architechture for banking and financial services industry. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z4z0x

PhD Thesis

Multi-Method Approaches for Sleep EEG Analysis And Sleep Stage Classification
Zapata, Ignacio Alonso. 2023. Multi-Method Approaches for Sleep EEG Analysis And Sleep Stage Classification. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z4yq2

PhD by Publication

Deep learning based sleep stage classification
Ji, Xiaopeng. 2023. Deep learning based sleep stage classification. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z4y9q

PhD by Publication

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.2022.05.010

Article

If we don't take that who will: an ethnographic exploration of a local studies collection in an Australian public library
Forsyth, Ellen. 2023. If we don't take that who will: an ethnographic exploration of a local studies collection in an Australian public library. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z3v6z

PhD Thesis

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/z3qq0

PhD 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/s40708-023-00206-7

Article

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/axioms12100978

Article

Short-term wave power forecasting with hybrid multivariate variational mode decomposition model integrated with cascaded feedforward neural networks
Ali, Mumtaz, Prasad, Ramendra, Jamei, Mehdi, Malik, Anurag, Xiang, Yong, Abdulla, Shahab, Deo, Ravinesh C., Farooque, Aitazaz A. and Labban, Abdulhaleem H.. 2023. "Short-term wave power forecasting with hybrid multivariate variational mode decomposition model integrated with cascaded feedforward neural networks." Renewable Energy. 221. https://doi.org/https://doi.org/10.1016/j.renene.2023.119773

Article

Boruta extra tree-bidirectional long short-term memory model development for Pan evaporation forecasting: Investigation of arid climate condition
Karbasi, Masoud, Ali, Mumtaz, Bateni, Sayed M., Jun, Changhyun, Jamei, Mehdi and Yaseen, Zaher Mundher. 2023. "Boruta extra tree-bidirectional long short-term memory model development for Pan evaporation forecasting: Investigation of arid climate condition." Alexandria Engineering Journal. 86, pp. 425-442. https://doi.org/10.1016/j.aej.2023.11.061

Article

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

Variable-rate irrigation: hardware and software tools for improved infield irrigation
McCarthy, Alison and Foley, Joseph. 2023. "Variable-rate irrigation: hardware and software tools for improved infield irrigation." GRDC Grains Research Update: Irrigation efficiency. 30 - 30 May 2023 Australia.

Presentation

Research and industry engagement for Ag tech development
McCarthy, Alison. 2023. "Research and industry engagement for Ag tech development." Scenic Rim Agricultural Workshop. Aratula 22 - 22 Mar 2023 Australia.

Presentation

Modelling of shoreline changes of coral reef islands using satellite observations and cloud computing
Akram, Hassan, Zhang, Zhenyu and Liu, Xiaoye. 2023. "Modelling of shoreline changes of coral reef islands using satellite observations and cloud computing." 2023 Asian Conference on Remote Sensing (ACRS2023). Taipei, Taiwan 30 Oct - 03 Nov 2023 Taiwan.

Poster

Machine learning for estimation of tree inventory parameters using terrestrial laser scanning, photogrammetry and UAV data
Kuznetsov, Igor, Zhang, Zhenyu, Liu, Xiaoye and Subedi, Nab Raj. 2023. "Machine learning for estimation of tree inventory parameters using terrestrial laser scanning, photogrammetry and UAV data ." 2023 Asian Conference on Remote Sensing (ACRS2023). Taipei, Taiwan 30 Oct - 03 Nov 2023 Taiwan.

Poster

Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions
Tao, Hai, Abba, Sani I., Al-Areeq, Ahmed M., Tangang, Fredolin, Samantaray, Sandeep, Sahoo, Abinash, Siqueira, Hugo Valadares, Maroufpoor, Saman, Demir, Vahdettin, Bokde, Neeraj Dhanraj, Goliatt, Leonardo, Jamei, Mehdi, Ahmadianfar, Iman, Bhagat, Suraj Kumar, Halder, Bijay, Guo, Tianli, Helman, Daniel S., Ali, Mumtaz, Sattar, Sabaa, ..., Yaseen, Zaher Mundher. 2023. "Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions ." Engineering Applications of Artificial Intelligence. 129. https://doi.org/10.1016/j.engappai.2023.107559

Article

Is Knowledge Ambidexterity the Answer to Economic Sustainability for SMEs? Lessons Learned from Digitalisation Efforts During the COVID-19 Pandemic
Saratchandra, Minu and Shrestha, Anup. 2023. "Is Knowledge Ambidexterity the Answer to Economic Sustainability for SMEs? Lessons Learned from Digitalisation Efforts During the COVID-19 Pandemic." Adapa, Sujana, McKeown, Tui, Lazaris, Miria and Jurado, Tanya (ed.) Small and Medium-sized Enterprises, and Business Uncertainty. Just Surviving or Thriving?. Singapore. Palgrave Macmillan. pp. 55-72

Edited book (chapter)

Development of an enhanced bidirectional recurrent neural network combined with time-varying filter-based empirical mode decomposition to forecast weekly reference evapotranspiration
Karbasi, Masoud, Jamei, Mehdi, Ali, Mumtaz, Malik, Anurag, Chu, Xuefeng, Farooque, Aitazaz Ahsan and Yaseen, Zaher Mundher. 2023. "Development of an enhanced bidirectional recurrent neural network combined with time-varying filter-based empirical mode decomposition to forecast weekly reference evapotranspiration." Agricultural Water Management. 290. https://doi.org/https://doi.org/10.1016/j.agwat.2023.108604

Article

Contrasting Delivery Models for Authentic, Team-Based IoT Learning Activities
Kist, Alexander, Hills, Catherine, Maiti, Ananda, Byrne, Terry and Landers, Richard. 2023. "Contrasting Delivery Models for Authentic, Team-Based IoT Learning Activities." 6th Experiment@ International Conference (expat’23). Évora, Portugal 05 - 07 Jun 2023 Portugal.

Paper

Introducing Technology for Learning in Prisons: Meeting Challenges and Realising Opportunities
Farley, Helen and Ware, Jason. 2023. "Introducing Technology for Learning in Prisons: Meeting Challenges and Realising Opportunities." Advancing Corrections: Journal of the International Corrections and Prisons Association. (16), pp. 24-35.

Article

Bathymetric modelling for long-term monitoring of water dynamics of Ramsar-listed lakes using inundation frequency and photon-counting LiDAR data
Zhang, Zhenyu and Liu, Xiaoye. 2023. "Bathymetric modelling for long-term monitoring of water dynamics of Ramsar-listed lakes using inundation frequency and photon-counting LiDAR data." Ecohydrology and Hydrobiology. https://doi.org/10.1016/j.ecohyd.2023.10.003

Article

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/10.1007/978-981-99-7108-4

Paper

Adaptive Regularization and Resilient Estimation in Federated Learning
Uddin, Md Palash, Xiang, Yong, Zhao, Yao, Ali, Mumtaz, Zhang, Yushu and Gao, Longxiang. 2023. "Adaptive Regularization and Resilient Estimation in Federated Learning." IEEE Transactions on Services Computing. https://doi.org/10.1109/TSC.2023.3332703

Article

Assessing Organizational Readiness for Data-driven Innovation: A Review of Literature
Samarasinghe, Sasari Sanika Udanjala, Lokuge, Sachithra and Duan, Sophia. 2023. "Assessing Organizational Readiness for Data-driven Innovation: A Review of Literature." 28th Pacific Asia Conference on Information Systems (PACIS 2023). Nanchang, China 08 - 12 Jul 2023 China.

Paper

Developing a Framework for Restrained Innovation: IT-Outsourcing Context
Lokuge, Sachithra and Sedera, Darshana. 2023. "Developing a Framework for Restrained Innovation: IT-Outsourcing Context." 28th Pacific Asia Conference on Information Systems (PACIS 2023). Nanchang, China 08 - 12 Jul 2023 China.

Paper

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/S0219876223500135

Article

Enhancing climate resilience by combining practice and insurance strategies: A case study for cotton crop
Nguyen-Huy, Thong and Battersby, Kerry. 2023. "Enhancing climate resilience by combining practice and insurance strategies: A case study for cotton crop." Queensland Disaster Management Research Forum 2023. Brisbane, Australia 07 - 07 Nov 2023

Presentation

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/math11183960

Article

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.2023.101904

Article

Using ARDC Nectar VMs, Jupyter Hub and GitHub to Deploy Agricultural Modelling Applications on the AgReFed Platform
Gacenga, Francis and An-Vo, Duc-Anh. 2023. "Using ARDC Nectar VMs, Jupyter Hub and GitHub to Deploy Agricultural Modelling Applications on the AgReFed Platform." eResearch Australasia 2023 Conference. Brisbane, Australia 16 - 20 Oct 2023 Australia.

Presentation

Making an Agricultural Research Dataset FAIR: A case study of the Australian Drought Monitor Dataset
Gacenga, Francis, An-Vo, Duc-Anh, Cobon, David, Young, Richard and McCulloch, Jillian. 2023. "Making an Agricultural Research Dataset FAIR: A case study of the Australian Drought Monitor Dataset." eResearch Australasia 2023 Conference. Brisbane, Australia 16 - 20 Oct 2023 Australia.

Presentation

An ensemble machine learning-based intelligent system for human activity recognition using sensory data
Abdulla, Shahab, Diykh, Mohammed, Siuly, Siuly and Ali, Mumtaz. 2023. "An ensemble machine learning-based intelligent system for human activity recognition using sensory data." Sinha, G.R., Subudhi, Bidyadhar, Fan, Chih-Peng and Nisar, Humaira (ed.) Cognitive Sensing Technologies and Applications. Institution of Engineering and Technology (IET). pp. 119-130

Edited book (chapter)

L2QA: Long Legal Article Question Answering with Cascaded Key Segment Learning
Xie, Shugui, Li, Lin, Yuan, Jingling, Xie, Qing and Tao, Xiaohui. 2023. "L2QA: Long Legal Article Question Answering with Cascaded Key Segment Learning." 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023). Tianjin, China 17 - 20 Apr 2023 Springer. https://doi.org/10.1007/978-3-031-30675-4_27

Paper