Web Access Research Portal

Research Report 2019 - Information and Communication Technology

Journal Article
Ali, M and Hussain, J* and Lee, S* and Kang, BH and Sattar, K*, “A knowledge construction methodology to automate case-based learning using clinical documents”, Expert Systems, 37 (1) Article e12401. doi:10.1111/exsy.12401 ISSN 0266-4720 (2019) [Refereed Article] [Full Text] [Detail]
Ali, M and Hussain, J* and Lee, S* and Kang, BH and Sattar, K*, “A knowledge construction methodology to automate case-based learning using clinical documents”, Expert Systems, 31 (1) Article e12401. doi:10.1111/exsy.12401 ISSN 0266-4720 (2019) [Refereed Article] [Full Text] [Detail]
Almond, H* and Cummings, E and Turner, P, “Empowerment, digital literacy and shared digital health records: the value of 'nothing about me without me'”, Studies in Health Technology and Informatics, 266 pp. 13-19. doi:10.3233/SHTI190766 ISSN 0926-9630 (2019) [Refereed Article] [Full Text] [Detail]
Arafat, MY* and Hoque, S* and Xu, S and Farid, DM*, “Machine learning for mining imbalanced data”, IAENG International Journal of Computer Science, 46 (2) pp. 332-348. ISSN 1819-656X (2019) [Refereed Article] [Full Text] [Detail]
Badhon, B* and Kabir, MMJ* and Xu, S and Kabir, A*, “A survey on association rule mining based on evolutionary algorithms”, International Journal of Computers and Applications pp. 1-11. doi:10.1080/1206212X.2019.1612993 ISSN 1206-212X (2019) [Refereed Article] [Full Text] [Detail]
Barika, M and Garg, S and Chan, A and Calheiros, RN* and Ranjan, R*, “IoTSim-Stream: Modeling stream graph application in cloud simulation”, Future Generation Computer Systems, 99 pp. 86-105. doi:10.1016/j.future.2019.04.004 ISSN 0167-739X (2019) [Refereed Article] [Full Text] [Detail]
Barika, M and Garg, S and Zomaya, AY* and Wang, L* and van Moorsel, A* and Ranjan, R*, “Orchestrating big data analysis workflows in the cloud: research challenges, survey, and future directions”, ACM Computing Surveys, 52 (5) Article 95. doi:10.1145/3332301 ISSN 0360-0300 (2019) [Refereed Article] [Full Text] [Detail]
Barika, M and Garg, S and Chan, A and Calheiros, RN*, “Scheduling algorithms for efficient execution of stream workflow applications in multicloud environments”, IEEE Transactions on Services Computing pp. 1-14. doi:10.1109/TSC.2019.2963382 ISSN 1939-1374 (2019) [Refereed Article] [Full Text] [Detail]
Battula, S and Garg, S and Montgomery, J and Kang, B, “An efficient resource monitoring service for fog computing environments”, IEEE Transactions on Services Computing, 13 (4) pp. 709-722. doi:10.1109/TSC.2019.2962682 ISSN 1939-1374 (2020) [Refereed Article] [Full Text] [Detail]
Battula, SK and Garg, S and Naha, RK and Thulasiraman, P* and Thulasiram, R*, “A micro-level compensation-based cost model for resource allocation in a fog environment”, Sensors, 19 (13) Article 2954. doi:10.3390/s19132954 ISSN 1424-8220 (2019) [Refereed Article] [Full Text] [Detail]
Brown, A and Garg, S and Montgomery, J, “Automatic rain and cicada chorus filtering of bird acoustic data”, Applied Soft Computing, 81 Article 105501. doi:10.1016/j.asoc.2019.105501 ISSN 1568-4946 (2019) [Refereed Article] [Full Text] [Detail]
Brown, P* and Cao, Z and O'Toole, R and Hoenner, X and Zhou, Y* and the RELISH Consortium, “Large expert-curated database for benchmarking document similarity detection in biomedical literature search”, Database Article baz085. doi:10.1093/database/baz085 ISSN 1758-0463 (2019) [Refereed Article] [Full Text] [Detail]
Cao, Z and Ding, W* and Wang, Y-K* and Hussain, FK* and Al-Jumaily, A* and Lin, C-T*, “Effects of repetitive SSVEPs on EEG complexity using multiscale inherent fuzzy entropy”, Neurocomputing, 389 pp. 198-206. doi:10.1016/j.neucom.2018.08.091 ISSN 0925-2312 (2020) [Refereed Article] [Full Text] [Detail]
Cao, Z and Lin, C-T* and Lai, K-L* and Ko, L-W* and King, J-T* and Liao, L-W* and Fuh, J-L* and Wang, S-J*, “Extraction of SSVEPs-based inherent fuzzy entropy using a wearable headband EEG in migraine patients”, IEEE Transactions on Fuzzy Systems, 28 (1) pp. 14-27. doi:10.1109/TFUZZ.2019.2905823 ISSN 1063-6706 (2020) [Refereed Article] [Full Text] [Detail]
Cao, Z and Lin, C-T* and Ding, W* and Chen, M-H* and Li, C-T* and Su, T-P*, “Identifying ketamine responses in treatment-resistant depression using a wearable forehead EEG”, IEEE Transactions on Biomedical Engineering, 66 (6) pp. 1668-1679. doi:10.1109/TBME.2018.2877651 ISSN 0018-9294 (2019) [Refereed Article] [Full Text] [Detail]
Cao, Z and Chuang, C-H* and King, J-K* and Lin, C-T*, “Multi-channel EEG recordings during a sustained-attention driving task”, Scientific Data, 6 Article 19. doi:10.1038/s41597-019-0027-4 ISSN 2052-4463 (2019) [Refereed Article] [Full Text] [Detail]
Chen, S* and Wang, Y* and Lin, C-T* and Ding, W* and Cao, Z, “Semi-supervised feature learning for improving writer identification”, Information Sciences, 482 pp. 156-170. doi:10.1016/j.ins.2019.01.024 ISSN 0020-0255 (2019) [Refereed Article] [Full Text] [Detail]
Cheng, C* and Xiao, F* and Cao, Z, “A new distance for intuitionistic fuzzy sets based on similarity matrix”, IEEE Access, 7 pp. 70436-70446. doi:10.1109/ACCESS.2019.2919521 ISSN 2169-3536 (2019) [Refereed Article] [Full Text] [Detail]
Fang, L* and Zhu, H* and Lv, B* and Liu, Z* and Meng, W* and Yu, Y* and Ji, S* and Cao, Z, “HandiText: handwriting recognition based on dynamic characteristics with incremental LSTM”, Journal of the Association for Computing Machinery, 37 (4) Article 111. doi:10.1145/3385189 ISSN 0004-5411 (2019) [Refereed Article] [Full Text] [Detail]
Fang, L* and Li, Y* and Yun, X* and Wen, Z* and Ji, S* and Meng, W* and Cao, Z and Tanveer, M*, “THP: A Novel authentication scheme to prevent multiple attacks in SDN-based IoT network”, IEEE Internet of Things Journal pp. 1-15. doi:10.1109/JIOT.2019.2944301 ISSN 2327-4662 (2019) [Refereed Article] [Full Text] [Detail]
Garcez, AD* and Gori, M* and Lamb, LC* and Serafini, L* and Spranger, M* and Tran, SN, “Neural-symbolic computing: An effective methodology for principled integration of machine learning and reasoning”, Journal of Applied Logics, 6 (4) pp. 611-631. ISSN 2631-9810 (2019) [Refereed Article] [Full Text] [Detail]
Han, Y* and Deng, Y* and Cao, Z and Lin, C-T*, “An interval-valued Pythagorean prioritized operator-based game theoretical framework with its applications in multicriteria group decision making”, Neural Computing and Applications pp. 1-19. doi:10.1007/s00521-019-04014-1 ISSN 0941-0643 (2019) [Refereed Article] [Full Text] [Detail]
Ho, NTU and Mirowski, L* and Scanlan, JD, “Developing decision support systems for multiple knowledge domains: a proposed solution”, Journal of Computers, 14 (5) pp. 339-348. doi:10.17706/jcp.14.5.339-348 ISSN 1796-203X (2019) [Refereed Article] [Full Text] [Detail]
Hussain, T* and Muhammad, K* and Ullah, A* and Cao, Z and Baik, SW* and de Albuquerque, VHC*, “Cloud-assisted multi-view video summarization using CNN and bi-directional LSTM”, IEEE Transactions on Industrial Informatics, 16 (1) pp. 77-86. doi:10.1109/TII.2019.2929228 ISSN 1551-3203 (2020) [Refereed Article] [Full Text] [Detail]
Jeanneret, R and Spiranovic, C and Eckstein, L and McWhirter, R and Arstein-Kerslake, A and Scanlan, J and Kirkby, K and Watters, P* and Vickers, J, “Enhancing early detection of cognitive impairment in the criminal justice system: feasibility of a proposed method”, Current Issues in Criminal Justice, 31 (1) pp. 60-74. doi:10.1080/10345329.2018.1556283 ISSN 1034-5329 (2019) [Refereed Article] [Full Text] [Detail]
Jha, DN* and Garg, S and Jayaraman, PP* and Buyya, R* and Li, Z* and Morgan, G* and Ranjan, R*, “A study on the evaluation of HPC microservices in containerized environment”, Concurrency and Computation: Practice and Experience Article e5323. doi:10.1002/cpe.5323 ISSN 1532-0626 (2019) [Refereed Article] [Full Text] [Detail]
Jiang, J* and Gao, L* and Jin, J* and Luan, TH* and Yu, S* and Xiang, Y* and Garg, S, “Sustainability analysis for fog nodes with renewable energy supplies”, IEEE Internet of Things Journal, 6 (4) pp. 6725-6735. doi:10.1109/JIOT.2019.2910875 ISSN 2327-4662 (2019) [Refereed Article] [Full Text] [Detail]
Kabir, M* and Kabir, MMJ* and Xu, S and Badhon, B*, “An empirical research on sentiment analysis using machine learning approaches”, International Journal of Computers and Applications pp. 1-9. doi:10.1080/1206212X.2019.1643584 ISSN 1206-212X (2019) [Refereed Article] [Full Text] [Detail]
Khaleel, I and Wimmer, BC and Peterson, GM and Zaidi, STR and Roehrer, E and Cummings, E and Lee, K, “Health information overload among health consumers: A scoping review”, Patient Education and Counseling pp. 1-18. doi:10.1016/j.pec.2019.08.008 ISSN 0738-3991 (2019) [Refereed Article] [Full Text] [Detail]
Lee, S-H and Kim, Y-J* and Kang, BH and Park, C-K*, “Effect of nicotinic acid on the plasma membrane function and polyunsaturated fatty acids composition during cryopreservation in boar sperm”, Reproduction in Domestic Animals, 54 (9) pp. 1251-1257. doi:10.1111/rda.13508 ISSN 0936-6768 (2019) [Refereed Article] [Full Text] [Detail]
Li, Q* and Cao, Z and Tanveer, M* and Pandey, HM* and Wang, C*, “A semantic collaboration method based on uniform knowledge graph”, IEEE Internet of Things Journal, 7 (5) pp. 4473-4484. doi:10.1109/JIOT.2019.2960150 ISSN 2327-4662 (2020) [Refereed Article] [Full Text] [Detail]
Li, Q* and Cao, Z and Zhong, J* and Li, Q*, “Graph representation learning with encoding edges”, Neurocomputing, 361 pp. 29-39. doi:10.1016/j.neucom.2019.07.076 ISSN 0925-2312 (2019) [Refereed Article] [Full Text] [Detail]
Li, Q* and Zhong, J* and Cao, Z and Li, X*, “Optimizing streaming graph partitioning via a heuristic greedy method and caching strategy”, Optimization Methods and Software pp. 1-16. doi:10.1080/10556788.2018.1553971 ISSN 1055-6788 (2019) [Refereed Article] [Full Text] [Detail]
Li, R and Garg, S and Brown, A, “Identifying patterns of human and bird activities using bioacoustic data”, Forests, 10 (10) Article 917. doi:10.3390/f10100917 ISSN 1999-4907 (2019) [Refereed Article] [Full Text] [Detail]
Liu, Z* and Xiao, F* and Lin, C-T* and Kang, BH and Cao, Z, “A generalized golden rule representative value for multiple-criteria decision analysis”, IEEE Transactions on Systems, Man, and Cybernetics: Systems pp. 1-12. doi:10.1109/TSMC.2019.2919243 ISSN 2168-2216 (2019) [Refereed Article] [Full Text] [Detail]
Ma, W* and Cai, L* and He, T* and Chen, L* and Cao, Z and Li, R*, “Local expansion and optimization for higher-order graph clustering”, IEEE Internet of Things Journal, 6 (5) pp. 8702-8713. doi:10.1109/JIOT.2019.2923228 ISSN 2327-4662 (2019) [Refereed Article] [Full Text] [Detail]
Maiti, A and Raza, A and Kang, BH and Hardy, L, “Estimating service quality in industrial internet-of-things monitoring applications with blockchain”, IEEE Access, 7 pp. 155489-155503. doi:10.1109/ACCESS.2019.2948269 ISSN 2169-3536 (2019) [Refereed Article] [Full Text] [Detail]
Montgomery, J and Randall, M* and Lewis, A*, “Integrating continuous differential evolution with discrete local search for meander line RFID antenna design”, PLoS ONE, 14 (10) Article e0223194. doi:10.1371/journal.pone.0223194 ISSN 1932-6203 (2019) [Refereed Article] [Full Text] [Detail]
Nguyen, HD* and Yeom, S and Lee, G-S* and Yang, H-J* and Na, I-S* and Kim, S-H*, “Facial emotion recognition using an ensemble of multi-level convolutional neural networks”, International Journal of Pattern Recognition and Artificial Intelligence, 33 (11) pp. 1940015. doi:10.1142/S0218001419400159 ISSN 0218-0014 (2019) [Refereed Article] [Full Text] [Detail]
Si, Y* and Li, F* and Duan, K* and Tao, Q* and Li, C* and Cao, Z and Zhang, Y* and Biswal, B* and Li, P* and Yao, D* and Xu, P*, “Predicting individual decision-making responses based on single-trial EEG”, Neuroimage, 206 Article 116333. doi:10.1016/j.neuroimage.2019.116333 ISSN 1053-8119 (2020) [Refereed Article] [Full Text] [Detail]
Stone, C* and Springer, M, “Interactivity, connectedness and 'teacher-presence': engaging and retaining students online”, Australian Journal of Adult Learning, 59 (2) pp. 146-169. ISSN 1443-1394 (2019) [Refereed Article] [Full Text] [Detail]
Su, X* and Zhang, M* and Bai, Q, “An innovative approach for ad hoc network establishment in disaster environments by the deployment of wireless mobile agents”, ACM Transactions on Autonomous and Adaptive Systems, 13 (4) Article 19. doi:10.1145/3337795 ISSN 1556-4665 (2019) [Refereed Article] [Full Text] [Detail]
Taskhiri, MS and Jeswani, H* and Geldermann, J* and Azapagic, A*, “Optimising cascaded utilisation of wood resources considering economic and environmental aspects”, Computers and Chemical Engineering, 1 pp. 302-316. doi:10.1016/j.compchemeng.2019.01.004 ISSN 0098-1354 (2019) [Refereed Article] [Full Text] [Detail]
Tran, SN and Nguyen, D* and Ngo, TS* and Vu, XS* and Hoang, L* and Zhang, Q* and Karunanithi, M*, “On multi-resident activity recognition in ambient smart-homes”, Artificial Intelligence Review pp. 1-17. doi:10.1007/s10462-019-09783-8 ISSN 0269-2821 (2019) [Refereed Article] [Full Text] [Detail]
Ujjwal, KC and Garg, S and Hilton, J* and Aryal, J and Forbes-Smith, N*, “Cloud computing in natural hazard modeling systems: current research trends and future directions”, International Journal of Disaster Risk Reduction, 38 Article 101188. doi:10.1016/j.ijdrr.2019.101188 ISSN 2212-4209 (2019) [Refereed Article] [Full Text] [Detail]
Vo, SA and Mirowski, L and Scanlan, J and Turner, P, “Verifying driver performance for heavy haulage fatigue management”, IET Intelligent Transport Systems, 13 (6) pp. 1033-1040. doi:10.1049/iet-its.2018.5314 ISSN 1751-956X (2019) [Refereed Article] [Full Text] [Detail]
Woods, L and Roehrer, E and Duff, J* and Walker, K and Cummings, E, “Co-design of a mobile health app for heart failure: perspectives from the team”, Studies in Health Technology and Informatics, 266 pp. 183-188. doi:10.3233/SHTI190792 ISSN 0926-9630 (2019) [Refereed Article] [Full Text] [Detail]
Woods, L and Duff, J* and Roehrer, E and Walker, K and Cummings, E, “Patients' experiences of using a consumer mHealth app for self-management of heart failure: mixed-methods study”, JMIR Human Factors, 6 (2) Article e13009. doi:10.2196/13009 ISSN 2292-9495 (2019) [Refereed Article] [Full Text] [Detail]
Woods, L and Duff, J and Roehrer, E and Walker, K and Cummings, E, “Representing the patient experience of heart failure through empathy, journey and stakeholder mapping”, Patient Experience Journal, 6 (1) pp. 55-62. ISSN 2372-0247 (2019) [Refereed Article] [Full Text] [Detail]
Woods, L and Duff, J and Roehrer, E and Walker, K and Cummings, E, “Design of a consumer mobile health app for heart failure: findings from the nurse-led co-design of Care4myHeart”, JMIR Nursing, 2 (1) Article e14633. doi:10.2196/14633 ISSN 2562-7600 (2019) [Refereed Article] [Full Text] [Detail]
Xia, L-Y* and Wang, Q-Y* and Cao, Z and Liang, Y*, “Descriptor selection improvements for quantitative structure-activity relationships”, International Journal of Neural Systems, 29 (9) pp. 1950016. doi:10.1142/S0129065719500163 ISSN 1793-6462 (2019) [Refereed Article] [Full Text] [Detail]
Yang, W and Herbert, D and Kim, S and Kang, B, “MCRDR knowledge-based 3D dialogue simulation in clinical training and assessment”, Journal of Medical Systems, 43 Article 200. doi:10.1007/s10916-019-1262-0 ISSN 0148-5598 (2019) [Refereed Article] [Full Text] [Detail]
Yang, W and Yuan, N and Chinthammit, W and Kang, B, “A distributed case- and project-based learning to design 3D lab on electronic engineering education”, Computer Applications in Engineering Education, 27 (2) pp. 430-451. doi:10.1002/cae.22087 ISSN 1061-3773 (2019) [Refereed Article] [Full Text] [Detail]
Yang, W and Aghasian, E and Garg, K and Herbert, D and Disiuta, L and Kang, B, “A survey on blockchain-based internet service architecture: requirements, challenges, trends and future”, IEEE Access, 7 pp. 75845-75872. doi:10.1109/ACCESS.2019.2917562 ISSN 2169-3536 (2019) [Refereed Article] [Full Text] [Detail]
Yang, W and Fan, S* and Xu, S and King, P and Kang, B and Kim, E, “Autonomous underwater vehicle navigation using sonar image matching based on convolutional neural network”, IFAC PapersOnLine, 52 (21) pp. 156-162. doi:10.1016/j.ifacol.2019.12.300 ISSN 2405-8963 (2019) [Refereed Article] [Full Text] [Detail]
Yang, Z* and Xiong, G* and Cao, Z and Li, Y* and Huang, L*, “A decision method for online purchases considering dynamic information preference based on sentiment orientation classification and discrete DIFWA operators”, IEEE Access, 7 Article 7700877026. doi:10.1109/ACCESS.2019.2921403 ISSN 2169-3536 (2019) [Refereed Article] [Full Text] [Detail]
Yang, Z* and Li, X* and Cao, Z and Li, J*, “Q-rung orthopair normal fuzzy aggregation operators and their application in multi-attribute decision-making”, Mathematics, 7 (12) Article 1142. doi:10.3390/math7121142 ISSN 2227-7390 (2019) [Refereed Article] [Full Text] [Detail]
Yim, J* and Ganesan, S* and Kang, BH, Location-Based Mobile Marketing Innovations 2018, Volume 2019 Article 2164708. doi:10.1155/2019/2164708 ISSN 1574-017X (2019) [Edited Journal] [Full Text] [Detail]
Yue, Z* and Ding, S* and Zhao, L* and Zhang, Y* and Cao, Z and Tanveer, M* and Jolfaei, A* and Zheng, X*, “Privacy-preserving time series medical images analysis using a hybrid deep learning framework”, ACM Transactions on Internet Technology, 37 (4) Article 11. doi:10.1145/3383779 ISSN 1533-5399 (2020) [Refereed Article] [Full Text] [Detail]
Zhang, F* and Lee, VE* and Jin, R* and Garg, S and Choo, K-KR* and Maasberg, M* and Dong, L* and Cheng, C*, “Privacy-aware smart city: a case study in collaborative filtering recommender systems”, Journal of Parallel and Distributed Computing, 127 pp. 145-159. doi:10.1016/j.jpdc.2017.12.015 ISSN 0743-7315 (2019) [Refereed Article] [Full Text] [Detail]
Chapter in Book
Aghasian, E and Garg, S and Montgomery, J, “Userís Privacy in Recommendation Systems Applying Online Social Network Data: A Survey and Taxonomy”, Big Data Recommender Systems - Volume 1: Algorithms, Architectures, Big Data, Security and Trus, Institution of Engineering and Technology, O Khalid, SU Khan, and AY Zomaya (ed), Stevenage, United Kingdom, pp. 259-282. ISBN 978-1-78561-501-6 (2019) [Research Book Chapter] [Full Text] [Detail]
Torugsa, A and Yawised, K and O'Donohue, W*, “Social Customer Relationship Management in Small and Medium Enterprises: Overcoming Barriers to Success”, Management Science: Foundations and Innovations, Springer Nature, C Machado, JP Davim (ed), Cham, Switzerland, pp. 157-182. ISBN 978-3-030-13228-6 (2019) [Research Book Chapter] [Full Text] [Detail]
Tran, SN and Zhang, Q*, “Towards Multi-resident Activity Monitoring with Smarter Safer Home Platform”, Smart Assisted Living. Computer Communications and Networks, Springer, F Chen, R Garcia-Betances, L Chen, M Cabrera-Umpierrez, and C Nugent (ed), Switzerland, pp. 249-267. ISBN 978-3-030-25590-9 (2019) [Research Book Chapter] [Full Text] [Detail]
Yeom, S and Fluck, A and Sale, A, “Indications for Kinesthetic Learning Through Haptic Devices”, Encyclopedia of Education and Information Technologies, Springer, A Tatnall (ed), United Kingdom ISBN 978-3-319-60013-0 (2019) [Research Book Chapter] [Full Text] [Detail]
Review
Bamgboje-Ayodele, A and Ellis, L and Turner, P, “Developing a framework for understanding and enhancing consumers' safe food management behaviors - a literature review”, Journal of Agricultural and Food Information pp. 1-29. ISSN 1049-6505 (2019) [Substantial Review] [Full Text] [Detail]
Woo, H and Turner, P, “Review on carbon neutral forest bioenergy feedstock”, International Journal of Environmental Sciences & Natural Resources, 19 (3) pp. 1-3. ISSN 2572-1119 (2019) [Review Several Works] [Full Text] [Detail]
Conference Publication
Amuno, M and Taskhiri, MS and Turner, P, “Mitigating traceability risks amongst SMEs along the beef supply chain: A multiple case study approach to investigating the role and potential impact of information technology”, Proceedings of the 2018 Australasian Conference on Information Systems, 3-5 December 2018, Sydney, Australia, pp. 1-8. (2019) [Refereed Conference Paper] [Full Text] [Detail]
Ashlock, D* and Montgomery, J, “Applying an adaptive generative representation to the investigation of affordances in puzzles”, Proceedings of the 2019 IEEE Congress on Evolutionary Computation, 10-13 June 2019, Wellington, New Zealand, pp. 762-769. (2019) [Refereed Conference Paper] [Full Text] [Detail]
Ashlock, D* and Ashlock, W* and Montgomery, J, “Implementing phenotypic plasticity with an adaptive generative representation”, Proceedings of the 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 9-11 July 2019, Siena, Italy, pp. 173-180. ISBN 978-1-7281-1462-0 (2019) [Refereed Conference Paper] [Full Text] [Detail]
Bamgboje-Ayodele, A* and Ellis, L and Turner, P, “Recommendations for enhancing consumer safe food management behaviour with smartphone technology”, Proceedings of ACIS 2019, 9-11 December 2019, Perth, Western Australia, pp. 322-332. (2019) [Refereed Conference Paper] [Full Text] [Detail]
Berner, G and Hopcraft, R* and Scanlan, J and Lutzhoft, MH and Earthy, J*, “A vrtual teams model for supporting maritime technology management”, Proceedings of the 2018 Human Factors Conference , 26-27 September 2018, London, UK, pp. 1-6. (2018) [Non Refereed Conference Paper] [Full Text] [Detail]
Cao, Z and Chang, Y-C* and Prasad, M* and Tanveer, M* and Lin, C-T*, “Tensor decomposition for EEG signals retrieval”, Proceedings of the 2019 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2019), 06-09 October 2019, Bari, Italy, pp. 1-5. (2019) [Refereed Conference Paper] [Full Text] [Detail]
Chen, S* and Bolufe-Rohler, A* and Montgomery, J and Hendtlass, T*, “An analysis on the effect of selection on exploration in particle swarm optimization and differential evolution”, Proceedings of the 2019 IEEE Congress on Evolutionary Computation, 10-13 June 2019, Wellington, New Zealand, pp. 3037-3044. (2019) [Refereed Conference Paper] [Full Text] [Detail]
Choksatchawathi, T* and Vongbunyong, S* and Chinthammit, W and Piyasinchart, A*, “Development of an interactive self-learning training system using vision system and see-through smart glasses in water meters assembly process”, 4-7 July 2018, Bangkok, Thailand (2018) [Refereed Conference Paper] [Full Text] [Detail]
Geng, X* and Kang, BH, “PRICAI 2018: Trends in Artificial Intelligence”, Springer International Publishing, 28-31 August, 2018, Nanjing, China ISBN 978-3-319-97303-6 (2018) [Conference Edited] [Full Text] [Detail]
Hardy, L and Castles, M and Yeom, S and Kang, B, “Challenges and prospects of a robotics course to supplement Australiaís digital technology curriculum”, Proceedings of the IEEE 19th International Conference on Advanced Learning Technologies (ICALT), 15-18 July 2019, Maceio, Brazil, pp. 224-226. ISSN 2161-377X (2019) [Refereed Conference Paper] [Full Text] [Detail]
Herbert, D and Kang, B, “Comparative analysis of intelligent personal agent performance”, Lecture Notes in Computer Science, 26-27 August 2019, Cuvu, Fiji, pp. 127-141. ISBN 9783030306380 (2019) [Refereed Conference Paper] [Full Text] [Detail]
Herbert, N, “An assessment scheme for short-term placements”, Proceedings of the 4th Annual International Conference on Computational Science and Computational Intelligence (CSCI 2017), 14-16 December 2017, Las Vegas, USA, pp. 1067-1072. ISBN 978-1-5386-2652-8 (2018) [Refereed Conference Paper] [Full Text] [Detail]
Herbert, N, “Impact of student engagement on First Year ICT performance”, Proceedings of the 4th Annual International Conference on Computational Science and Computational Intelligence (CSCI 2017), 14-16 December 2017, Las Vegas, USA, pp. 1085-1090. ISBN 978-1-5386-2652-8 (2018) [Refereed Conference Paper] [Full Text] [Detail]
Herbert, N and Herbert, D, “Is the ATAR a Useful Predictor of Success in ICT? An Empirical Study”, Proceedings of the 20th Australasian Computing Education Conference, 30 January - 2 February 2018, Brisbane, Queensland, pp. 35-44. ISBN 978-1-4503-6340-2 (2018) [Refereed Conference Paper] [Full Text] [Detail]
Herbert, N, “Reflections on 17 years of ICT capstone project coordination: Effective strategies for managing clients, teams and assessment”, Proceedings of the 49th ACM Technical Symposium on Computer Science Education (SIGCSE 2018), 21-24 February 2018, Baltimore, USA, pp. 215-220. ISBN 978-1-4503-5103-4 (2018) [Refereed Conference Paper] [Full Text] [Detail]
Hu, Y* and Bai, Q and Li, W*, “Context-aware influence diffusion in online social networks”, PKAW 2019 Conference Proceedings, 26-27 August 2019, Cuvu, Fiji, pp. 153-162. ISSN 0302-9743 (2019) [Refereed Conference Paper] [Full Text] [Detail]
Hussain, M* and Hassan, AU* and Sadiq, M* and Kang, BH and Lee, S*, “Missing information prediction in ripple down rule based clinical decision support system”, Smart Homes and Health Telematics: Designing a Better Future: Urban Assisted Living 16th International Conference, ICOST 2018 Proceedings, July 10-12, 2018, Singapore, pp. 179-188. ISSN 0302-9743 (2018) [Refereed Conference Paper] [Full Text] [Detail]
Hvolby, H-H* and Steger-Jensen, K* and Neagoe, M and Vestergaard, S* and Turner, P, “Collaborative exchange of cargo truck loads: approaches to reducing empty trucks in logistics chains”, IFIP Advances in Information and Communication Technology Proceedings, Part II, 01-05 September 2019, Austin, TX, USA, pp. 68-74. ISBN 9783030299958 (2019) [Refereed Conference Paper] [Full Text] [Detail]
Lee, E* and Lynn, HM* and Kim, HJ* and Yeom, S and Kim, P*, “Semantic analysis for paraphrase identification using semantic role labeling”, Proceedings of the 34th Annual ACM Symposium on Applied Computing, 8-12 April 2019, Limassol, Cyprus, pp. 2135-2138. (2019) [Refereed Conference Paper] [Full Text] [Detail]
Lewis, A* and Randall, M* and Elliott, S* and Montgomery, J, “Long term implications of climate change on crop planning”, Proceedings of the 2019 International Conference on Computational Science, 12-14 June 2019, Faro, Portugal, pp. 369-382. (2019) [Refereed Conference Paper] [Full Text] [Detail]
Li, Q* and Zhong, J* and Li, Q* and Cao, Z and Wang, C*, “Enhancing network embedding with implicit clustering”, Proceedings of the 24th International Conference, DASFAA 2019: Database Systems for Advanced Applications, 22-25 April 2019, Chiang Mai, Thailand, pp. 452-467. ISSN 0302-9743 (2019) [Refereed Conference Paper] [Full Text] [Detail]
Maharjan, M and Kim, S-H* and Yeom, SJ and Fan, S, “Relationship between temporary emotion of students and performance in learning through comparing facial expression analytics”, Proceedings of the 13th International Conference on Interfaces and Human Computer Interaction, 16-18 July 2019, Porto, Portugal, pp. 141-148. ISBN 978-989-8533-91-3 (2019) [Refereed Conference Paper] [Full Text] [Detail]
Maiti, A and Byrne, T* and Kist, AA*, “Teaching internet of things in a collaborative laboratory environment”, Proceedings of the 5th Experiment@ International Conference (exp.at 2019), 12-14 June 2019, Funchal, Portugal, pp. 193-198. (2019) [Refereed Conference Paper] [Full Text] [Detail]
Neagoe, M and Hvolby, H-H* and Taskhiri, MS and Turner, P, “Modelling the supply chain impact of a digital terminal appointment systems parameters and user behaviours. A discrete event simulation approach”, Proceedings from the Australasian Conference on Information Systems, 09-11 December 2019, Freemantle, WA, pp. 1-7. (2019) [Refereed Conference Paper] [Full Text] [Detail]
Neagoe, M and Hvolby, H-H* and Taskhiri, MS and Turner, P, “Understanding the impact of user behaviours and scheduling parameters on the effectiveness of a terminal appointment system using discrete event simulation”, IFIP Advances in Information and Communication Technology Proceedings, Part II, 01-05 September 2019, Austin, TX, USA, pp. 27-34. ISBN 9783030299958 (2019) [Refereed Conference Paper] [Full Text] [Detail]
Neagoe, M and Taskhiri, MS and Turner, P and Hvolby, H-H*, “Using discrete-event simulation to explore the impact of user behaviours on the effectiveness of a terminal appointment system”, Proceedings of the 33rd annual European Simulation and Modelling Conference, 28-30 October 2019, Palma de Mallorca, Spain, pp. 279-283. (2019) [Refereed Conference Paper] [Full Text] [Detail]
Nguyen, H-O and Gamage, SH and Beckett, A and Turner, P and Taskhiri, MS and Nikolova, N, “Team resilience in maritime emergency response: analytical framework and implications from accident report analysis”, Proceedings of the International Association of Maritime Universities (IAMU) Conference, 30 October-1 November 2019, Tokyo, Japan, pp. 340-347. ISSN 2706-6762 (2019) [Refereed Conference Paper] [Full Text] [Detail]
Park, M and Yang, W and Cao, Z and Kang, B and Connor, D* and Lea, M-A, “Marine vertebrate predator detection and recognition in underwater videos by region convolutional neural network”, Lecture Note in Computer Science: Proceedings of the 16th Pacific Rim Knowledge Acquisition Workshop: Knowledge Management and Acquisition for Intelligent Systems (PKAW 2019), 26-27 August 2019, Cuvu, Fiji ISBN 978-3-030-30638-0 (2019) [Refereed Conference Paper] [Full Text] [Detail]
Patwary, MAK and Garg, SK and Kang, BH, “Window-based streaming graph partitioning algorithm”, Proceedings of the 2019 Australasian Computer Science Week Multiconference (ACSW 2019), 29-31 January 2019, Sydney, Australia, pp. 1-10. ISBN 978-1-4503-6603-8 (2019) [Refereed Conference Paper] [Full Text] [Detail]
Smith, M* and Maiti, A and Maxwell, A* and Kist, AA*, “Applying augmented reality to new or existing remote access laboratories”, Proceedings of the 5th Experiment@ International Conference (exp.at 2019), 12-14 June 2019, Funchal, Portugal, pp. 6-11. (2019) [Refereed Conference Paper] [Full Text] [Detail]
Taskhiri, MS and Hafezi, MH* and Holloway, D and Turner, P, “An assessment of in-field nondestructive testing methods for detection of internal defects in standing live trees”, Proceedings of SPIE 10972: Health Monitoring of Structural and Biological Systems XIII, 4-7 March 2019, Denver, Colorado, pp. 109721F-1-109721F-11. (2019) [Refereed Conference Paper] [Full Text] [Detail]
Tothong, T* and Vongbunyong, S* and Chinthammit, W and Piyasinchart, A*, “Augmented reality for dies alignment in machine setup”, IOP Conference Series: Materials Science and Engineering (Proceedings of the 10th TSME International Conference on Mechanical Engineering), 886 Article 0125051, 10-13 December 2019, Pattaya, Thailand (2019) [Refereed Conference Paper] [Full Text] [Detail]
Vu, X-S* and Tran, SN and Jiang, L*, “dpUGC: Learn differentially private representation for user generated contents”, Proceedings of the 20th International Conference on Computational Linguistics and Intelligent Text Processing, 7-13 April 2019, La Rochelle, France, pp. 1-16. (2019) [Refereed Conference Paper] [Full Text] [Detail]
Vu, X-S* and Vu, T* and Tran, SN and Jiang, L*, “ETNLP: A visual-aided systematic approach to select pre-trained embeddings for a downstream task”, Proceedings of the 2019 Recent Advances in Natural Language Processing International Conference, 2-4 September 2019, Varna, Bulgaria, pp. 1285-1294. ISSN 1313-8502 (2019) [Refereed Conference Paper] [Full Text] [Detail]
Wang, M* and Li, W* and Kong, Y* and Bai, Q, “Empirical evaluation of deep learning-based travel time prediction”, PKAW 2019 Conference Proceedings, 26-27 August 2019, Cuvu, Fiji, pp. 54-65. ISSN 0302-9743 (2019) [Refereed Conference Paper] [Full Text] [Detail]
Wu, S* and Bai, Q and Kang, B, “Adaptive incentive allocation for influence-aware proactive recommendation”, PRICAI 2019: Trends in Artificial Intelligence, 26-30 August 2019, Cuvu, Fiji, pp. 649-661. ISSN 0302-9743 (2019) [Refereed Conference Paper] [Full Text] [Detail]
Wu, S* and Bai, Q, “Incentivizing long-term engagement under limited budget”, PRICAI 2019: Trends in Artificial Intelligence, 26-30 August 2019, Cuvu, Fiji, pp. 662-674. ISSN 0302-9743 (2019) [Refereed Conference Paper] [Full Text] [Detail]
Yang, Y* and Bai, Q and Liu, Q*, “Dynamic source weight computation for truth inference over data streams”, AAMAS '19: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 13-17 May 2019, Montreal, Canada, pp. 277-285. ISBN 978-1-4503-6309-9 (2019) [Refereed Conference Paper] [Full Text] [Detail]
Yang, Y* and Bai, Q and Liu, Q*, “Modeling random guessing and task difficulty for truth inference in crowdsourcing”, AAMAS '19: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 13-17 May, 2019, Montreal, Canada, pp. 2288-2290. ISSN 2523-5699 (2019) [Conference Extract] [Full Text] [Detail]
Yeom, S and Ryu, R and Pak, E* and Kim, P*, “Prototype ultrasonic wayfinder with haptic feedback for an IOT environment”, Proceedings of the 13th International Conference on Interfaces and Human Computer Interaction, 16-18 July 2019, Porto, Portugal, pp. 309-312. ISBN 978-989-8533-91-3 (2019) [Refereed Conference Paper] [Full Text] [Detail]
Computer Software
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Contract Report, Consultant's Report
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* This author is not affiliated with the University of Tasmania.