469999. Other information and computing sciences not elsewhere classified
| Title | 469999. Other information and computing sciences not elsewhere classified |
|---|---|
| Parent | 4699. Other information and computing sciences |
Latest research outputs
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The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space
Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffrey, Whittaker, Frank and Wang, Hua. 2020. "The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space." Applied Soft Computing. 97 (Part A), pp. 1-14. https://doi.org/10.1016/j.asoc.2020.106805Article
Forecasting seasonal rainfall with copula modelling approach for agricultural stations in Papua New Guinea
Okka, Kingsten. 2019. Forecasting seasonal rainfall with copula modelling approach for agricultural stations in Papua New Guinea. Masters Thesis Master of Science (Research). University of Southern Queensland. https://doi.org/10.26192/xgx4-d527Masters Thesis
Event prediction through structural intelligence in online social networks
Tan, Leonard. 2020. Event prediction through structural intelligence in online social networks. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/asxq-ax90PhD Thesis
Finding an optimum set of roles in a CPAC model
Kabir, Enamul, Wang, Hua and Sun, Lili. 2019. "Finding an optimum set of roles in a CPAC model." 2019 International Conference on Networking and Network Applications (NaNA 2019). Daegu City, Korea 10 - 13 Oct 2019 Piscataway, United States. https://doi.org/10.1109/NaNA.2019.00014Paper
An efficient chain structure to mine high-utility sequential patterns
Lin, Jerry Chun-Wei, Li, Yuanfa, Fournier-Viger, Philippe, Djenouri, Youcef and Zhang, Ji. 2019. "An efficient chain structure to mine high-utility sequential patterns." 19th IEEE International Conference on Data Mining Workshops (ICDMW 2019). Beijing, China 08 - 11 Nov 2019 https://doi.org/10.1109/ICDMW.2019.00146Paper
Privacy Preserving Computation in Home Loans Using the FRESCO Framework
Chan, Fook Mun, Xu, Quanqing, Seah, Hao Jian, Keoh, Sye Loong, Tang, Zhaohui and Aung, Khin Mi Mi. 2019. "Privacy Preserving Computation in Home Loans Using the FRESCO Framework." Kacprzyk, Janusz (ed.) 2018 Future of Information and Communication Conference (FICC 2018). Singapore 05 - 06 Apr 2018 Switzerland. https://doi.org/10.1007/978-3-030-03405-4_7Paper
Knowledge discovery for health risk prediction
Pham, Thuan. 2020. Knowledge discovery for health risk prediction. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/jj7h-9231PhD Thesis
MARS model for prediction of short- and long-term global solar radiation
Balalla, Dilki T., Nguyen-Huy, Thong and Deo, Ravinesh. 2021. "MARS model for prediction of short- and long-term global solar radiation." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Amsterdam, Netherlands. Elsevier. pp. 391-436Edited book (chapter)
Short-term electrical energy demand prediction under heat island effects using emotional neural network integrated with genetic algorithm
Karalasingham, Sagthitharan, Deo, Ravinesh and Prasad, Ramendra. 2021. "Short-term electrical energy demand prediction under heat island effects using emotional neural network integrated with genetic algorithm." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Amsterdam, Netherlands. Elsevier. pp. 271-298Edited book (chapter)
Hybrid multilayer perceptron-firefly optimizer algorithm for modelling photosynthetic active solar radiation for biofuel energy exploration
Goundar, Harshna, Yaseen, Zaher Mundher and Deo, Ravinesh. 2021. "Hybrid multilayer perceptron-firefly optimizer algorithm for modelling photosynthetic active solar radiation for biofuel energy exploration." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Amsterdam, Netherlands. Elsevier. pp. 191-232Edited book (chapter)
SLIND: identifying stable links in online social networks
Zhang, Ji, Tan, Leonard, Tao, Xiaohui, Zheng, Xiaoyao, Luo, Yonglong and Lin, Jerry Chun-Wei. 2018. "SLIND: identifying stable links in online social networks." Pei, Jian, Sadiq, Shazia, Manolopoulos, Yannis and Li, Jianxin (ed.) 23rd International Conference on Database Systems for Advanced Applications (DASFAA 2018). Gold Coast, Australia 21 - 24 May 2018 Switzerland. https://doi.org/10.1007/978-3-319-91458-9_54Paper
Anonymization of multiple and personalized sensitive attributes
Lin, Jerry Chun-Wei, Liu, Qiankun, Fournier-Viger, Philippe, Djenouri, Youcef and Zhang, Ji. 2018. "Anonymization of multiple and personalized sensitive attributes." Ordonez, Carlos and Bellatreche, Ladjel (ed.) 20th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2018). Regensburg, Germany 03 - 06 Sep 2018 Cham, Switzerland. https://doi.org/10.1007/978-3-319-98539-8_16Paper
3D Video Images for Comparing Indian and Iraqi Women’s Foot Width Surface Shape Associated with Stance Phase of Gait
Al-Kharaz, Ali and Chong, Albert. 2019. "3D Video Images for Comparing Indian and Iraqi Women’s Foot Width Surface Shape Associated with Stance Phase of Gait." 2nd International Conference on Information Science and Systems (ICISS 2019). Tokyo, Japan 16 - 19 Mar 2019 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3322645.3322669Paper
Data mining for precision medicine in clinical decision support systems
Goh, Wee Pheng. 2020. Data mining for precision medicine in clinical decision support systems. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/bvnz-kw90PhD Thesis
Ensemble neural network approach detecting pain intensity from facial expressions
Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffrey, Whittaker, Frank and Wang, Hua. 2020. "Ensemble neural network approach detecting pain intensity from facial expressions." Artificial Intelligence in Medicine. 109, pp. 1-12. https://doi.org/10.1016/j.artmed.2020.101954Article
PPSF: an open-source privacy-preserving and security mining framework
Lin, Jerry Chun-Wei, Fournier-Viger, Philippe, Wu, Lintai, Gan, Wensheng, Djenouri, Youcef and Zhang, Ji. 2018. "PPSF: an open-source privacy-preserving and security mining framework." Tong, Hanghang, Li, Zhenhui (Jessie), Zhu, Feida and Yu, Jeffrey (ed.) 18th IEEE International Conference on Data Mining Workshops (ICDMW 2018). Singapore 17 - 20 Nov 2018 New York, United States. https://doi.org/10.1109/ICDMW.2018.00208Paper
A new framework for automatic detection of patients with mild cognitive impairment using resting-state EEG signals
Siuly, Siuly, Alcin, Omer Faruk, Kabir, Enamul, Sengur, Abdulkadir, Wang, Hua, Zhang, Yanchun and Whittaker, Frank. 2020. "A new framework for automatic detection of patients with mild cognitive impairment using resting-state EEG signals." IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28 (9), pp. 1966-1976. https://doi.org/10.1109/TNSRE.2020.3013429Article
A survey on text classification and its applications
Zhou, Xujuan, Gururajan, Raj, Li, Yuefeng, Venkataraman, Revathi, Tao, Xiaohui, Bargshady, Ghazala, Barua, Prabal D. and Kondalsamy-Chennakesavan, Srinivas. 2020. "A survey on text classification and its applications." Web Intelligence. 18 (2), pp. 205-216. https://doi.org/10.3233/WEB-200442Article
Object tracking in augmented reality remote access laboratories without fiducial markers
Smith, Mark. 2019. Object tracking in augmented reality remote access laboratories without fiducial markers. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/XSFE-4A84PhD Thesis
Classification of malignant and benign lung nodule and prediction of image label class using multi-deep model
Zia, Muahammad Bilal, Zhao, Juan Juan, Zhou, Xujuan, Xiao, Ning, Wang, Jiawen and Khan, Ammad. 2020. "Classification of malignant and benign lung nodule and prediction of image label class using multi-deep model." International Journal of Advanced Computer Science and Applications. 11 (3), pp. 35-41.Article
A bibliometric and visual analysis of artificial intelligence technologies-enhanced brain MRI research
Chen, Xieling, Zhang, Xinxin, Xie, Haoran, Tao, Xiaohui, Wang, Fu Lee, Xie, Nengfu and Hao, Tianyong. 2021. "A bibliometric and visual analysis of artificial intelligence technologies-enhanced brain MRI research." Multimedia Tools and Applications. 80, pp. 17335-17363. https://doi.org/10.1007/s11042-020-09062-7Article
Authentication and Integrity Protection for Real-time Cyber-Physical Systems
Keoh, Sye Loong, Tan, Heng Chuan and Tang, Zhaohui. 2020. "Authentication and Integrity Protection for Real-time Cyber-Physical Systems." Tian, Yu-Chu and Levy, David Charles (ed.) Handbook of Real-Time Computing. Singapore. Springer. pp. 1-22Edited book (chapter)
Feature-Based Learning in Drug Prescription System for Medical Clinics
Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji and Yong, Jianming. 2020. "Feature-Based Learning in Drug Prescription System for Medical Clinics." Neural Processing Letters. 52, pp. 1703-1721. https://doi.org/10.1007/s11063-020-10296-7Article
Multisource multimedia data understanding: special theme issue of Multimedia Tools and Applications, Vol. 78, No. 33221
Zhang, Shichao, Wang, Ruili, Tao, Xiaohui and Zhu, Yingying. 2019. Multisource multimedia data understanding: special theme issue of Multimedia Tools and Applications, Vol. 78, No. 33221. New York, United States. Springer.Edited journal
A structural graph-coupled advanced machine learning ensemble model for disease risk prediction in a telehealthcare environment
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan, Diykh, Mohammed and Lin, Jerry Chun-Wei. 2018. "A structural graph-coupled advanced machine learning ensemble model for disease risk prediction in a telehealthcare environment." Roy, Sanjiban Sekhar, Samui, Pijushi, Deo, Ravinesh and Ntalampiras, Stalampiras (ed.) Big data in engineering applications. Singapore. Springer. pp. 363-384Edited book (chapter)
Enhanced sequence labeling based on latent variable conditional random fields
Lin, Jerry Chun-Wei, Shao, Yinan, Zhang, Ji and Yun, Unil. 2020. "Enhanced sequence labeling based on latent variable conditional random fields." Neurocomputing. 403, pp. 431-440. https://doi.org/10.1016/j.neucom.2020.04.102Article
SLIND+: stable LINk detection
Zhang, Ji, Tan, Leonard, Tao, Xiaohui, Li, Hongzhou, Chen, Fulong and Luo, Yonglong. 2020. "SLIND+: stable LINk detection." Hou U, Leong, Yang, Jian, Cai, Yi, Karlapalem, Kamalakar, Liu, An and Huang, Xin (ed.) 20th International Conference on Web Information Systems Engineering (WISE 2019): Workshop, Demo and Tutorial. Hong Kong, China 19 - 22 Jan 2020 Singapore. https://doi.org/10.1007/978-981-15-3281-8_8Paper
Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments
Salih, Sinan Q., Sharafati, Ahmad, Ebtehaj, Isa, Sanikhani, Hadi, Siddique, Ridwan, Deo, Ravinesh C., Bonakdari, Hossein, Shahid, Shamsuddin and Yaseen, Zaher Mundher. 2020. "Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments." Hydrological Sciences Journal. 65 (7), pp. 1145-1157. https://doi.org/10.1080/02626667.2020.1734813Article
Mining health knowledge graph for health risk prediction
Tao, Xiaohui, Pham, Thuan, Zhang, Ji, Yong, Jianming, Goh, Wee Pheng, Zhang, Wenping and Cai, Yi. 2020. "Mining health knowledge graph for health risk prediction." World Wide Web. 23 (4), pp. 2341-2362. https://doi.org/10.1007/s11280-020-00810-1Article
Association between work-related features and coronary artery disease: a heterogeneous hybrid feature selection integrated with balancing approach
Nasarian, Elham, Abdar, Moloud, Fahami, Mohammad Amin, Alizadehsani, Roohallah, Hussain, Sadiq, Basiri, Mohammad Ehsan, Zomorodi-Moghadam, Mariam, Zhou, Xujuan, Plawiak, Pawel, Acharya, U. Rajendra, Tan, Ru-San and Sarrafzadegan, Nizal. 2020. "Association between work-related features and coronary artery disease: a heterogeneous hybrid feature selection integrated with balancing approach." Pattern Recognition Letters. 133, pp. 33-40. https://doi.org/10.1016/j.patrec.2020.02.010Article
Constructing a knowledge-based heterogeneous information graph for medical health status classification
Pham, Thuan, Tao, Xiaohui, Zhang, Ji and Yong, Jianming. 2020. "Constructing a knowledge-based heterogeneous information graph for medical health status classification." Health Information Science and Systems. 8 (1). https://doi.org/10.1007/s13755-020-0100-6Article
Relational intelligence recognition in online social networks - a survey
Zhang, Ji, Tan, Leonard, Tao, Xiaohui, Pham, Thuan and Chen, Bing. 2020. "Relational intelligence recognition in online social networks - a survey." Computer Science Review. 35. https://doi.org/10.1016/j.cosrev.2019.100221Article
Global solar radiation estimation and climatic variability analysis using extreme learning machine based predictive model
Tao, Hai, Sharafati, Ahmad, Mohammed, Achite, Salih, Sinan Q., Deo, Ravinesh C., Al-Ansari, Nadhir and Yaseen, Zaher Mundher. 2020. "Global solar radiation estimation and climatic variability analysis using extreme learning machine based predictive model." IEEE Access. 8, pp. 12026-12042. https://doi.org/10.1109/ACCESS.2020.2965303Article
Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia
Ghorbani, Mohammad Ali, Deo, Ravinesh C., Kim, Sungwon, Kashani, Mahasa Hasanpour, Karimi, Vahid and Izadkhah, Maryam. 2020. "Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia." Soft Computing. 24, pp. 12079-12090. https://doi.org/10.1007/s00500-019-04648-2Article
A general extensible learning approach for multi-disease recommendations in a telehealth environment
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Zhu, Xiaodong, Li, Hongzhou, Chang, Liang and Deo, Ravinesh. 2020. "A general extensible learning approach for multi-disease recommendations in a telehealth environment ." Pattern Recognition Letters. 132, pp. 106-114. https://doi.org/10.1016/j.patrec.2018.11.006Article
Complex networks approach for depth of anesthesia assessment
Diykh, Mohammed, Li, Yan, Wen, Peng and Li, Tianning. 2018. "Complex networks approach for depth of anesthesia assessment." Measurement. 119, pp. 178-189. https://doi.org/10.1016/j.measurement.2018.01.024Article
Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia
Rahmati, Omid, Falah, Fatemeh, Dayal, Kavina Shaanu, Deo, Ravinesh C., Mohammadi, Farnoush, Biggs, Trent, Moghaddam, Davoud Davoudi, Naghibi, Seyed Amir and Bui, Dieu Tien. 2020. "Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia." Science of the Total Environment. 699 (134230). https://doi.org/10.1016/j.scitotenv.2019.134230Article
A hybrid representation based simile component extraction
Ren, Da, Zhang, Pengfei, Li, Qing, Tao, Xiaohui, Chen, Junying and Cai, Yi. 2020. "A hybrid representation based simile component extraction." Neural Computing and Applications. 32 (18), pp. 14655-14665. https://doi.org/10.1007/s00521-020-04818-6Article
Efficient chain structure for high-utility sequential pattern mining
Lin, Jerry Chun-Wei, Li, Yuanfa, Fournier-Viger, Philippe, Djenouri, Youcef and Zhang, Ji. 2020. "Efficient chain structure for high-utility sequential pattern mining." IEEE Access. 8, pp. 40714-40722. https://doi.org/10.1109/ACCESS.2020.2976662Article
FRIOD: a deeply integrated feature-rich interactive system for effective and efficient outlier detection
Zhu, Xiaodong, Zhang, Ji, Li, Hongzhou, Fournier-Viger, Philippe, Lin, Jerry Chun-Wei and Chang, Liang. 2017. "FRIOD: a deeply integrated feature-rich interactive system for effective and efficient outlier detection." IEEE Access. 5, pp. 25682-25695. https://doi.org/10.1109/ACCESS.2017.2771237Article