A

Alharbi, Hadeel, Hamilton, John R., and Maxwell, Stephen J. (2023) COVID 19 and Information Technology: A Systematic Review. In: Proceedings of the 23rd International Conference on Electronic Business (23) pp. 107-118. From: ICEB 2023: 23rd International Conference on Electronic Business, 19-23 October 2023, Chiayi, Taiwan.

B

Beni, Hamidreza Mortazavy, Mortazavi, Hamed, Scataglini, Sofia, Truijen, Steven, Islam, Mohammad S., and Paul, Gunther (2023) Fluid-Structure Interaction Modeling of Peak Expiratory-Inspiratory Flow in a Stented Upper Airway Using Experimental Data. In: Lecture Notes in Networks and Systems (744) pp. 106-114. From: DHM 2023: 8th International Digital Human Modeling Symposium, 4-6 September 2023, Antwerp, Belgium.

C

Chen, Guo, Wen, Zhiyong, and Hou, Fazhong (2023) Application of computer image processing technology in old artistic design restoration. Heliyon, 9 (11). e21366.

D

Dharmasiri, Prabashi, Phang, Soon-Yeow, Zhu, Skye, and Ko, John (2023) Role of Motive and Persuasive Messages in Auditors' Reliance on Data Analytics. In: [Presented at the International Symposium on Audit Research]. From: ISAR 2023: International Symposium on Audit Research, 2-3 June 2023, Sydney, NSW, Australia.

F

Fei, Gaolei, Cheng, Yong, Ma, Wanlun, Chen, Chao, Wen, Sheng, and Hu, Guangmin (2022) Real-Time Detection of COVID-19 Events From Twitter: A Spatial-Temporally Bursty-Aware Method. IEEE Transactions on Computational Social Systems, 10 (2). pp. 656-672.

G

Guo, Yuyu, Bi, Lei, Ahn, Euijoon, Feng, Dagan, Wang, Quian, and Kim, Jinman (2020) A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 4725-4734. From: CVPR 2020: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 13-19 June 2020, Seattle, WA, USA.

H

Hamilton, John R., Tee, Sing What, and Maxwell, Stephen J. (2023) AI and Firm Competitiveness. In: Proceedings of the 23rd International Conference on Electronic Business (23) pp. 17-24. From: ICEB 2023: 23rd International Conference on Electronic Business, 19-23 October 2023, Chiayi, Taiwan.

Harerimana, Alexis, Duma, Sinegugu Evidence, and Mtshali, Ntombifikile Gloria (2023) First-year nursing students’ digital literacy: A cross-sectional study. Journal of Nursing Education and Practice, 13 (1). pp. 31-37.

Han, Kang, and Xiang, Wei (2023) Multiscale Tensor Decomposition and Rendering Equation Encoding for View Synthesis. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 4232-4241. From: CVPR 2023: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 17-24 June 2023, Vancouver, Canada.

Huo, Shuwei, Zhou, Yuan, Wang, Ruolin, Xiang, Wei, and Kung, Sun Yuan (2023) Semantic Relevance Learning for Video-Query Based Video Moment Retrieval. IEEE Transactions on Multimedia, 25. pp. 9290-9301.

Harerimana, Alexis, Wicking, Kristin, Biedermann, Narelle, and Yates, Karen (2022) How do we fit informatics into the undergraduate curriculum? Nursing as a case study. In: [Presented at the HERDSA Annual Conference 2022]. P115. From: HERDSA 2022: Annual Conference, 27-30 June 2022, Melbourne, VIC, Australia.

Hakro, Dil Nawaz, Hamilton, John R., Tee, Singwhat, and Underdown, Michael (2022) I-Fintech adoption readinesss. In: Proceedings of the 22nd International Conference on Electronic Business (22) pp. 226-234. From: ICEB 2022: 22nd International Conference on Electronic Business, 13-17 October 2022, Bangkok, Thailand.

Harerimana, Alexis, Wicking, Kristin, Biedermann, Narelle, and Yates, Karen (2022) My understanding of informatics: Nursing as a case study. In: The National Nursing Forum Program. pp. 44-45. From: The National Nursing Forum 2022, 17-19 August 2022, Darwin, NT, Australia.

K

Kennedy, Emma V., Roelfsema, Chris M., Lyons, Mitchell B., Kovacs, Eva M., Borrego-Acevedo, Rodney, Roe, Meredith, Phinn, Stuart R., Larsen, Kirk, Murray, Nicholas J., Yuwono, Doddy, Wolff, Jeremy, and Tudman, Paul (2021) Reef Cover, a coral reef classification for global habitat mapping from remote sensing. Scientific Data, 8. 196.

Khan, Saud, Khan, Komal S., and Shin, Soo Young (2019) Symbol denoising in high order M-QAM using residual learning of deep CNN. In: Proceedings of the 16th IEEE Annual Consumer Communications & Networking Conference. 8651830. From: CCNC 2019: 16th IEEE Annual Consumer Communications & Networking Conference, 11-14 January 2019, Las Vegas, NV, USA.

L

Li, Huacheng, Xia, Chunhe, Wang, Tianbo, Wen, Sheng, Chen, Chao, and Xiang, Yang (2021) Capturing dynamics of information diffusion in SNS: a survey of methodology and techniques. ACM Computing Surveys, 55 (1). 22.

P

Papavasiliou, Samantha, and Reaiche Amaro, Carmen (2019) Digital adoption strategy: a public sector ecosystem. International Journal on Advances in Internet Technology, 12 (3 & 4). pp. 96-108.

R

Ren, Jing, Shi, Yajie, Shatte, Adrian, Kong, Xiangjie, and Xia, Feng (2022) The Significance and Impact of Winning an Academic Award: A Study of Early Career Academics. In: Proceedings of ACM/IEEE Joint Conference on Digital Libraries. From: JCDL 2022: ACM/IEEE Joint Conference on Digital Libraries, 20-24 June 2022, Cologne, Germany.

S

Sinclair, Jacob, Suwanwiwat, Hemmaphan, and Lee, Ickjai (2023) A hybrid data gathering and agent based cognitive architecture for realistic crowd simulations. Journal of Simulation, 17 (2). pp. 121-148.

Söderström, Arne, Shatte, Adrian, and Fuller-Tyszkiewicz, Matthew (2021) Can intelligent agents improve data quality in online questiosnnaires? A pilot study. Behavior Research Methods, 53. pp. 2238-2251.

Sharifonnasbi, Fatemeh, Jhanjhi, N.Z., John, Jacob, and Nambiar, Prabhakaran Bone Age Measurement-Based on Dental Radiography, Employing a New Model. In: Lecture Notes in Networks and Systems (248) pp. 51-61. From: ICTIDS 2021: 2nd International Conference on Technology Innovation and Data Sciences, 10 & 20 February 2021, Petaling Jaya, Malaysia.

W

Wang, Wei-Chien, Ahn, Euijoon, Feng, Dagan, and Kim, Jinman (2023) A Review of Predictive and Contrastive Self-supervised Learning for Medical Images. Machine Intelligence Research, 20 (4). pp. 483-512.

Y

Yu, Lu, and Xiang, Wei (2023) X-Pruner: eXplainable Pruning for Vision Transformers. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. pp. 24355-24363. From: CVPR 2023: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 17-24 June 2023, Vancouver, Canada.