Web Access Research Portal

Research Report 2021 - Information and Communication Technology

Journal Article
Akella, A* and Singh, AK* and Leong, D* and Lal, S* and Newton, P* and Clifton-Bligh, R* and Mclachlan, CS* and Gustin, SM* and Maharaj, S* and Lees, T* and Cao, Z and Lin, C-T*, “Classifying multi-level stress responses from brain cortical EEG in nurses and non-health professionals using machine learning auto encoder”, IEEE Journal of Translational Engineering in Health and Medicine, 9 Article 2200109. doi:10.1109/JTEHM.2021.3077760 ISSN 2168-2372 (2021) [Refereed Article] [Full Text] [Detail]
Alwasel, K* and Calheiros, RN* and Garg, S and Buyya, R* and Pathan, M* and Georgakopoulos, D* and Ranjan, R*, “BigDataSDNSim: A simulator for analyzing big data applications in software-defined cloud data centers”, Software: Practice and Experience, 51 (5) pp. 893-920. doi:10.1002/spe.2917 ISSN 0038-0644 (2021) [Refereed Article] [Full Text] [Detail]
Barika, MS and Garg, SK and Zomaya, AY* and Ranjan, R*, “Online scheduling technique to handle data velocity changes in stream workflows”, IEEE Transactions on Parallel and Distributed Systems, 32 (8) pp. 2115-2130. doi:10.1109/TPDS.2021.3059480 ISSN 1045-9219 (2021) [Refereed Article] [Full Text] [Detail]
Battula, SK and O'Reilly, MM and Garg, S and Montgomery, J, “A generic stochastic model for resource availability in fog computing environments”, IEEE Transactions on Parallel and Distributed Systems, 32 (4) pp. 960-974. doi:10.1109/TPDS.2020.3037247 ISSN 1045-9219 (2021) [Refereed Article] [Full Text] [Detail]
Brown, A and Montgomery, J and Garg, S, “Automatic construction of accurate bioacoustics workflows under time constraints using a surrogate model”, Applied Soft Computing, 113 Article 107944. doi:10.1016/j.asoc.2021.107944 ISSN 1568-4946 (2021) [Refereed Article] [Full Text] [Detail]
Bui, T and Barnett, T and Hoang, H and Chinthammit, W, “Tele-mentoring using augmented reality technology in healthcare: A systematic review”, Australasian Journal of Educational Technology, 37 (4) pp. 81-101. doi:10.14742/ajet.6243 ISSN 1449-5554 (2021) [Refereed Article] [Full Text] [Detail]
Ding, W* and Ming, Y* and Cao, Z and Lin, C-T*, “A generalized deep neural network approach for digital watermarking analysis”, IEEE Transactions on Emerging Topics in Computational Intelligence doi:10.1109/TETCI.2021.3055520 ISSN 2471-285X (2021) [Refereed Article] [Full Text] [Detail]
Do, N-T* and Kim, S-H* and Yang, H-J* and Lee, G-S* and Yeom, S, “Context-aware emotion recognition in the wild using spatio-temporal and temporal-pyramid models”, Sensors, 21 (7) Article 2344. doi:10.3390/s21072344 ISSN 1424-8220 (2021) [Refereed Article] [Full Text] [Detail]
Fan, S and Chen, L and Garg, S and Yeom, S and Kregor, G and Yang, Y* and Wang, Y, “Revealing impact factors on student engagement: Learning analytics adoption in online and blended courses in higher education”, Education Sciences, 11 (10) Article educsci11100608. doi:10.3390/educsci11100608 ISSN 2227-7102 (2021) [Refereed Article] [Full Text] [Detail]
Gu, X and Cao, Z and Jolfaei, A* and Xu, P* and Wu, D* and Jung, TP* and Lin, CT*, “EEG-based brain-computer interfaces (BCIs): a survey of recent studies on signal sensing technologies and computational intelligence approaches and their applications”, IEEE/ACM Transactions on Computational Biology and Bioinformatics doi:10.1109/TCBB.2021.3052811 ISSN 1545-5963 (2021) [Refereed Article] [Full Text] [Detail]
Hameed, K and Garg, S and Amin, MB and Kang, B, “A formally verified blockchain-based decentralised authentication scheme for the internet of things”, Journal of Supercomputing pp. 1-41. doi:10.1007/s11227-021-03841-1 ISSN 0920-8542 (2021) [Refereed Article] [Full Text] [Detail]
Hoque, S and Arafat, M* and Xu, S and Maiti, A and Wei, Y, “A comprehensive review on 3D object detection and 6D pose estimation with deep learning”, IEEE Access, 9 pp. 143746-143770. doi:10.1109/ACCESS.2021.3114399 ISSN 2169-3536 (2021) [Refereed Article] [Full Text] [Detail]
Iqbal, MS* and Ali, H* and Tran, SN and Iqbal, T*, “Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network”, IET Computer Vision, 15 (6) pp. 428-439. doi:10.1049/cvi2.12028 ISSN 1751-9632 (2021) [Refereed Article] [Full Text] [Detail]
K C, U and Aryal, J and Garg, S and Hilton, J*, “Global sensitivity analysis for uncertainty quantification in fire spread models”, Environmental Modelling and Software, 143 Article 105110. doi:10.1016/j.envsoft.2021.105110 ISSN 1364-8152 (2021) [Refereed Article] [Full Text] [Detail]
K C, U and Aryal, J and Hilton, J* and Garg, S, “A surrogate model for rapidly assessing the size of a wildfire over time”, Fire, 4 (2) Article 20. doi:10.3390/fire4020020 ISSN 2571-6255 (2021) [Refereed Article] [Full Text] [Detail]
Khan, S* and Amin, MB and Azar, AT* and Aslam, S*, “Towards interoperable blockchains: a survey on the role of smart contracts in blockchain interoperability”, IEEE Access, 9 pp. 116672-116691. doi:10.1109/ACCESS.2021.3106384 ISSN 2169-3536 (2021) [Refereed Article] [Full Text] [Detail]
Krisanski, S and Taskhiri, MS and Gonzalez Aracil, S* and Herries, D* and Muneri, A* and Gurung, MB* and Montgomery, J and Turner, P, “Forest structural complexity tool - an open source, fully-automated tool for measuring forest point clouds”, Remote Sensing, 13 (22) Article 4677. doi:10.3390/rs13224677 ISSN 2072-4292 (2021) [Refereed Article] [Full Text] [Detail]
Krisanski, S and Taskhiri, MS and Aracil, SG* and Herries, D* and Turner, P, “Sensor agnostic semantic segmentation of structurally diverse and complex forest point clouds using deep learning”, Remote Sensing, 13 (8) Article 1413. doi:10.3390/rs13081413 ISSN 2072-4292 (2021) [Refereed Article] [Full Text] [Detail]
Li, F* and Jiang, L* and Liao, Y* and Si, Y* and Yi, C* and Zhang, Y* and Zhu, X* and Yang, Z* and Yao, D* and Cao, Z and Xu, P*, “Brain variability in dynamic resting-state networks identified by fuzzy entropy: a scalp EEG study”, Journal of Neural Engineering, 18 (4) Article 046097. doi:10.1088/1741-2552/ac0d41 ISSN 1741-2552 (2021) [Refereed Article] [Full Text] [Detail]
Li, M* and Cao, Z and Li, Z*, “A reinforcement learning-based vehicle platoon control strategy for reducing energy consumption in traffic oscillations”, IEEE Transactions on Neural Networks and Learning Systems pp. 1-15. doi:10.1109/TNNLS.2021.3071959 ISSN 2162-237X (2021) [Refereed Article] [Full Text] [Detail]
Li, W* and Bai, Q and Liang, L* and Yang, Y* and Hu, Y and Zhang, M*, “Social influence minimization based on context-aware multiple influences diffusion model”, Knowledge-Based Systems, 227 Article 107233. doi:10.1016/j.knosys.2021.107233 ISSN 0950-7051 (2021) [Refereed Article] [Full Text] [Detail]
Lin, C-T* and King, J-T* and John, AR* and Huang, K-C* and Cao, Z and Wang, Y-K*, “The impact of vigorous cycling exercise on visual attention: a study with the BR8 wireless dry EEG system”, Frontiers in Neuroscience pp. 1-10. doi:10.3389/fnins.2021.621365 ISSN 1662-453X (2021) [Refereed Article] [Full Text] [Detail]
Lohachab, A and Garg, SK and Kang, BH and Amin, MB, “Performance evaluation of Hyperledger Fabric-enabled framework for pervasive peer-to-peer energy trading in smart Cyber–Physical Systems”, Future Generation Computer Systems, 118 pp. 392-416. doi:10.1016/j.future.2021.01.023 ISSN 0167-739X (2021) [Refereed Article] [Full Text] [Detail]
Lohachab, A and Garg, S and Kang, B and Amin, MB and Lee, J and Chen, S* and Xu, X*, “Towards interconnected blockchains: a comprehensive review of the role of interoperability among disparate blockchains”, ACM Computing Survey, 54 (7) Article 135. doi:10.1145/3460287 ISSN 0360-0300 (2021) [Refereed Article] [Full Text] [Detail]
Maiti, A and Raza, A and Kang, BH, “Teaching embedded systems and Internet-of-Things supported by multipurpose multiobjective remote laboratories”, IEEE Transactions on Learning Technologies, 14 (4) pp. 526-539. doi:10.1109/TLT.2021.3104258 ISSN 1939-1382 (2021) [Refereed Article] [Full Text] [Detail]
Maqsood, S and Xu, S and Springer, M and Mohawesh, R, “A benchmark study of machine learning for analysis of signal feature extraction techniques for blood pressure estimation using photoplethysmography (PPG)”, IEEE Access, 9 pp. 138817-138833. doi:10.1109/ACCESS.2021.3117969 ISSN 2169-3536 (2021) [Refereed Article] [Full Text] [Detail]
Mohawesh, R and Tran, S and Ollington, R and Xu, S, “Analysis of concept drift in fake reviews detection”, Expert Systems with Applications, 169 Article 114318. doi:10.1016/j.eswa.2020.114318 ISSN 0957-4174 (2021) [Refereed Article] [Full Text] [Detail]
Mohawesh, R and Xu, S and Tran, SN and Ollington, R and Springer, M and Jararweh, Y* and Maqsood, S, “Fake reviews detection: A survey”, IEEE Access, 9 pp. 65771-65802. doi:10.1109/ACCESS.2021.3075573 ISSN 2169-3536 (2021) [Refereed Article] [Full Text] [Detail]
Neagoe, M and Hvolby, HH* and Taskhiri, MS and Turner, P, “Using discrete-event simulation to compare congestion management initiatives at a port terminal”, Simulation Modelling Practice and Theory, 112 Article 102362. doi:10.1016/j.simpat.2021.102362 ISSN 1569-190X (2021) [Refereed Article] [Full Text] [Detail]
Neagoe, M and Hvolby, HH* and Turner, P, “Why are we still queuing? Exploring landside congestion factors in Australian bulk cargo port terminals”, Maritime Transport Research, 2 Article 100036. doi:10.1016/j.martra.2021.100036 ISSN 2666-822X (2021) [Refereed Article] [Full Text] [Detail]
Nguyen, D* and Nguyen, DT* and Zeng, R* and Nguyen, TT* and Tran, S and Nguyen, TK* and Sridharan, S* and Fookes, C*, “Deep auto-encoders with sequential learning for multimodal dimensional emotion recognition”, IEEE Transactions on Multimedia pp. 1-12. doi:10.1109/TMM.2021.3063612 ISSN 1520-9210 (2021) [Refereed Article] [Full Text] [Detail]
Patwary, AAN* and Naha, RK and Garg, S and Battula, SK and Patwary, MAK* and Aghasian, E and Amin, MB and Mahanti, A* and Gong, M*, “Towards secure fog computing: A survey on trust management, privacy, authentication, threats and access control”, Electronics, 10 (10) Article 1171. doi:10.3390/electronics10101171 ISSN 2079-9292 (2021) [Refereed Article] [Full Text] [Detail]
Patwary, MAK and Garg, S and Battula, SK* and Kang, BH, “SDP: Scalable Real-time Dynamic Graph Partitioner”, IEEE Transactions on Services Computing doi:10.1109/TSC.2021.3137932 ISSN 1939-1374 (2021) [Refereed Article] [Full Text] [Detail]
Raza, A and Hardy, L and Roehrer, E and Yeom, S and Kang, BH, “GPSPiChain-Blockchain and AI based self-contained anomaly detection family security system in smart home”, Journal of Systems Science and Systems Engineering pp. 1-17. doi:10.1007/s11518-021-5496-2 ISSN 1861-9576 (2021) [Refereed Article] [Full Text] [Detail]
Ryu, R and Yeom, S and Kim, S-H* and Herbert, D, “Continuous multimodal biometric authentication schemes: A systematic review”, IEEE Access, 9 pp. 34541-34557. doi:10.1109/ACCESS.2021.3061589 ISSN 2169-3536 (2021) [Refereed Article] [Full Text] [Detail]
Sadeghian Esfahani, S and Cahoon, S and Chen, S-L and Pateman, H and Sajadi, SM*, “Prioritising environmental activities based on their effect on improving sustainable performance in Australian logistics”, Supply Chain Forum pp. 1-18. doi:10.1080/16258312.2021.1879601 ISSN 1625-8312 (2021) [Refereed Article] [Full Text] [Detail]
Sadeghian Esfahani, S and Cahoon, S and Chen, S-L and Pateman, H and Sajadi, SM*, “Investigating the factors influencing Australian logistics companies toward environmental activity adoption”, Maritime Business Review pp. 1-14. doi:10.1108/MABR-12-2020-0073 ISSN 2397-3757 (2021) [Refereed Article] [Full Text] [Detail]
Summons, P* and Harmon, J* and Park, M and Colloc, J* and Yeom, S and Pitt, V* and Inder, Kerry*, “Development of a framework for problem domain transference in health-related problem based learning and assessment”, Journal of Problem-Based Learning, 8 (2) pp. 75-86. doi:10.24313/jpbl.2021.00066 ISSN 2288-8675 (2021) [Refereed Article] [Full Text] [Detail]
Tasneem, T* and Kabir, MMJ* and Xu, S and Tasneem, T*, “Diagnosis of cardiovascular diseases using artificial intelligence techniques: A review”, International Journal of Computer Applications, 183 (3) pp. 1-25. ISSN 0975-8887 (2021) [Refereed Article] [Full Text] [Detail]
Wang, C* and Huang, Y* and Ding, W* and Cao, Z, “Attribute reduction with fuzzy rough self-information measures”, Information Sciences, 549 pp. 68-86. doi:10.1016/j.ins.2020.11.021 ISSN 0020-0255 (2021) [Refereed Article] [Full Text] [Detail]
Wang, X and Garg, S and Tran, SN and Bai, Q and Alty, J, “Hand tremor detection in videos with cluttered background using neural network based approaches”, Health Information Science and Systems, 9 (1) pp. 1-14. doi:10.1007/s13755-021-00159-3 ISSN 2047-2501 (2021) [Refereed Article] [Full Text] [Detail]
Yoon, H and Park, M and Yeom, S and Kirkcaldie, MTK and Summons, P* and Lee, SH*, “Automatic detection of amyloid beta plaques in somatosensory cortex of an Alzheimer’s disease mouse using deep learning”, IEEE Access, 9 doi:10.1109/ACCESS.2021.3132401 ISSN 2169-3536 (2021) [Refereed Article] [Full Text] [Detail]
Zhu, C* and Qin, B* and Xiao, F* and Cao, Z and Pandey, HM*, “A fuzzy preference-based Dempster-Shafer evidence theory for decision fusion”, Information Sciences, 570 pp. 306-322. doi:10.1016/j.ins.2021.04.059 ISSN 0020-0255 (2021) [Refereed Article] [Full Text] [Detail]
Book
Compton, PJ and Kang, BH, Ripple-Down Rules: The Alternative to Machine Learning, Routledge/CRC Press, Oxford, UK, pp. 196. ISBN 9780367644321 (2021) [Authored Research Book] [Detail]
Conference Publication
Alty, J and Bai, Q and St George, RJ and Bindoff, A and Li, R and Lawler, K and Hill, E and Garg, G and Bartlett, L and King, AE and Vickers, JC, “TasTest: moving towards a digital screening test for pre-clinical Alzheimer’s disease”, Biomarkers ISSN 1354-750X (2021) [Conference Extract] [Full Text] [Detail]
Beswick, K and Fraser, S and Crowley, S, ““The best ever”: mathematics teachers’ perceptions of quality professional learning”, Proceedings of the 41st Conference of the International Group for the Psychology of Mathematics Education, 17-22 July 2017, Singapore, pp. 169-176. ISBN 9789811137426 (2017) [Refereed Conference Paper] [Full Text] [Detail]
Ryu, R and Yeom, S, “Blockchain-based renewable energy trading system with smart contract in a small local community”, SMA 2020: The 9th International Conference on Smart Media and Applications, 17 - 19 September 2020, Republic of Korea, Jeju, pp. 224-230. ISBN 978-1-4503-8925-9 (2021) [Refereed Conference Paper] [Full Text] [Detail]
Tran, SN, “Compositional neural logic programming”, Proceedings of the 30th International Joint Conference on Artificial Intelligence, 19-26 August 2021, Virtual Conference, Online (Montreal, Canada), pp. 3059-3066. ISBN 978-0-9992411-9-6 (2021) [Refereed Conference Paper] [Full Text] [Detail]
Vo, TH* and Yeom, S and Na, IS* and Oh, A* and Lee, GS* and Yang, HJ* and Kim, SH*, “Combination of CNN and RNN for speech emotion recognition”, SMA2019 - The International Conference on Smart Media & Applications, 5 - 7 December 2019, Hilton Guam Resort & Spa, GUAM, pp. 163 -166. ISSN 2287-4348 (2019) [Refereed Conference Paper] [Full Text] [Detail]
Wells, L and Kucina, T and Kohl, AT and Lewis, I and de Salas, K and Aidman, E* and Heathcote, A*, “A flexible gaming environment for reliably measuring cognitive control”, Proceedings of the 2021 Human Factors and Medicine Research Symposium - Applying Neuroscience to Performance: From Rehabilitation to Human Cognitive Augmentation, 11-12 October 2021, Rome, Italy, pp. 14.1-14.14. (2021) [Non Refereed Conference Paper] [Full Text] [Detail]
Wu, S and Bai, Q and Li, W*, “Learning policies for effective incentive allocation in unknown social networks”, 03-07 May, Virtual Event United Kingdom, pp. 1701-1703. ISBN 978-1-4503-8307-3 (2021) [Conference Extract] [Full Text] [Detail]
Computer Software
Wells, LF and Lewis, I and de Salas, K, “PlayUR Research Platform”, Games and Creative Technologies Research Group, Australia (2021) [Software Other] [Full Text] [Detail]
Other Creative Work
de Salas, KL, 'Games to Change the World' episode in UCTV Alive for Kids, Peter Underwood Centre - University of Tasmania, Youtube - https://www.youtube.com/watch?v=XHwTJYom, pp. 1 (2021) [Performance Practice] [Detail]
Other Public Output
Thomas, J and Nair, M, “Engagement at sorell: report on the first year of action research”, Jenny Cowling, Principal Sorell District School, Tasmania, Australia, pp. 1-52. (2021) [Government or Industry Research] [Full Text] [Detail]

* This author is not affiliated with the University of Tasmania.