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
Sort by Date Title
Affective and sentimental computing
Xie, Haoran, Wong, Tak‑Lam, Wang, Fu Lee, Wong, Raymond, Tao, Xiaohui and Wang, Ran. 2019. "Affective and sentimental computing." International Journal of Machine Learning and Cybernetics. 10 (8), pp. 2043-2044. https://doi.org/10.1007/s13042-019-00977-8Editorial
Mining of high average-utility patterns with item-level thresholds
Lin, Jerry Chun-Wei, Li, Ting, Fournier-Viger, Philippe, Zhang, Ji and Guo, Xiangmin. 2019. "Mining of high average-utility patterns with item-level thresholds." Journal of Internet Technology. 20 (1), pp. 187-194. https://doi.org/10.3966/160792642019012001017Article
High average-utility sequential pattern mining based on uncertain databases
Lin, Jerry Chun-Wei, Li, Ting, Pirouz, Matin, Zhang, Ji and Fournier-Viger, Philippe. 2020. "High average-utility sequential pattern mining based on uncertain databases." Knowledge and Information Systems. 62 (3), pp. 1199-1228. https://doi.org/10.1007/s10115-019-01385-8Article
Using Unity 3D as the augmented reality framework for remote access laboratories
Smith, Mark, Maiti, Ananda, Maxwell, Andrew D. and Kist, Alexander A.. 2019. "Using Unity 3D as the augmented reality framework for remote access laboratories." Auer, Michael E. and Langmann, Reinhard (ed.) 15th International Conference on Remote Engineering and Virtual Instrumentation (REV 2018): Smart Industry and Smart Education. Duesseldorf, Germany 21 - 23 Mar 2018 Switzerland. Springer. https://doi.org/10.1007/978-3-319-95678-7_64Paper
K-complexes Detection in EEG Signals using Fractal and Frequency Features Coupled with an Ensemble Classification Model
Al-Salman, Wessam, Li, Yan and Wen, Peng. 2019. "K-complexes Detection in EEG Signals using Fractal and Frequency Features Coupled with an Ensemble Classification Model." Neuroscience. 422, pp. 119-133. https://doi.org/10.1016/j.neuroscience.2019.10.034Article
Improving Sentiment Polarity Detection Through Target Identification
Basiri, Mohammad Ehsan, Abdar, Moloud, Kabiri, Arman, Nemati, Shahla, Zhou, Xujuan, Allahbakhshi, Forough and Yen, Neil Y.. 2020. "Improving Sentiment Polarity Detection Through Target Identification." IEEE Transactions on Computational Social Systems. 7 (1), pp. 113-128. https://doi.org/10.1109/TCSS.2019.2951326Article
A state-of-the-art review on artificial intelligence for Smart Buildings
Panchalingam, Rav and Chan, Ka C.. 2021. "A state-of-the-art review on artificial intelligence for Smart Buildings." Intelligent Buildings International. 13 (4), pp. 203-226. https://doi.org/10.1080/17508975.2019.1613219Article
Simulation study on passive buildings’ demand incentive based on evolutionary game
Liu, Kai, Zhou, Hongmin, Kou, Yuanyuan, Zhang, Jiabao, Zhou, Xujuan and Zhang, Xiantang. 2019. "Simulation study on passive buildings’ demand incentive based on evolutionary game." Journal of Intelligent and Fuzzy Systems. 37, pp. 3163-3174. https://doi.org/10.3233/JIFS-179118Article
Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms
Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms." Applied Energy. 253, pp. 1-20. https://doi.org/10.1016/j.apenergy.2019.113541Article
Knowledge graph embedding by dynamic translation
Chang, Liang, Zhu, Manli, Gu, Tianlong, Bin, Chenzhong, Qian, Junyan and Zhang, Ji. 2017. "Knowledge graph embedding by dynamic translation." IEEE Access. 5 (3), pp. 20898-20907. https://doi.org/10.1109/ACCESS.2017.2759139Article
Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia
Al-Musaylh, Mohanad S., Deo, Ravinesh C., Adamowski, Jan F. and Li, Yan. 2019. "Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia." Renewable and Sustainable Energy Reviews. 113. https://doi.org/10.1016/j.rser.2019.109293Article
Detection of EEG K-Complexes Using Fractal Dimension of Time Frequency Images Technique Coupled With Undirected Graph Features
Al-Salman, Wessam, Li, Yan and Wen, Paul. 2019. "Detection of EEG K-Complexes Using Fractal Dimension of Time Frequency Images Technique Coupled With Undirected Graph Features ." Frontiers in Neuroinformatics. 13 (45), pp. 1-19. https://doi.org/10.3389/fninf.2019.00045Article
An auto TCD probe design and visualization
Huang, Yi, Wen, Peng, Song, Bo and Li, Yan. 2018. "An auto TCD probe design and visualization." Wang, Shouyi, Yamamoto, Vicky, Su, Jianzhong, Yang, Yang, Jones, Erick, Iasemidis, Leon and Mitchell, Tom (ed.) 11th International Conference on Brain Informatics (BI 2018). Arlington, United States 07 - 09 Dec 2018 Sham, Switzerland. https://doi.org/10.1007/978-3-030-05587-5_46Paper
Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach
Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2019. "Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach." Catena. 177, pp. 149-166. https://doi.org/10.1016/j.catena.2019.02.012Article
PMT: new analytical framework for automated evaluation of geo-environmental modelling approaches
Rahmati, Omid, Kornejady, Aiding, Samadi, Mahmood, Deo, Ravinesh C., Conoscenti, Christian, Lombardo, Luigi, Dayal, Kavina, Taghizadeh-Mehrjardi, Ruhollah, Pourghasemi, Hamid Reza, Kumar, Sandeep and Bui, Dieu Tien. 2019. "PMT: new analytical framework for automated evaluation of geo-environmental modelling approaches." Science of the Total Environment. 664, pp. 296-311. https://doi.org/10.1016/j.scitotenv.2019.02.017Article
Universally deployable extreme learning machines integrated with remotely sensed MODIS satellite predictors over Australia to forecast global solar radiation: a new approach
Deo, Ravinesh C., Sahin, Mehmet, Adamowski, Jan F. and Mi, Jianchun. 2019. "Universally deployable extreme learning machines integrated with remotely sensed MODIS satellite predictors over Australia to forecast global solar radiation: a new approach." Renewable and Sustainable Energy Reviews. 104, pp. 235-261. https://doi.org/10.1016/j.rser.2019.01.009Article
Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems
Wen, Xiaohu, Feng, Qi, Deo, Ravinesh C., Wu, Min, Yin, Zhenliang, Yang, Linshan and Singh, Vijay P.. 2019. "Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems." Journal of Hydrology. 570, pp. 167-184. https://doi.org/10.1016/j.jhydrol.2018.12.060Article
Streamflow and soil moisture forecasting with hybrid data intelligent machine learning approaches: case studies in the Australian Murray-Darling basin
Prasad, Ramendra. 2018. Streamflow and soil moisture forecasting with hybrid data intelligent machine learning approaches: case studies in the Australian Murray-Darling basin . PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/5f6974e4dccd5PhD Thesis
A two-phase approach to mine short-periodic high utility itemsets in transactional databases
Lin, Jerry Chun-Wei, Zhang, Jiexiong, Fournier-Viger, Philippe, Hong, Tzung-Pei and Zhang, Ji. 2017. "A two-phase approach to mine short-periodic high utility itemsets in transactional databases." Advanced Engineering Informatics: the science of supporting knowledge-intensive activities. 33, pp. 29-43. https://doi.org/10.1016/j.aei.2017.04.007Article
An enhanced extreme learning machine model for river flow forecasting: state-of-the-art, practical applications in water resource engineering area and future research direction
Yaseen, Zaher Mundher, Sulaiman, Sadeq Oleiwi, Deo, Ravinesh C. and Chau, Kwok-Wing. 2019. "An enhanced extreme learning machine model for river flow forecasting: state-of-the-art, practical applications in water resource engineering area and future research direction." Journal of Hydrology. 569, pp. 387-408. https://doi.org/10.1016/j.jhydrol.2018.11.069Article
A new approach to spread-spectrum OFDM
Alhasnawi, Mohammad Kaisb Layous, Addie, Ronald G. and Abdulla, Shahab. 2018. "A new approach to spread-spectrum OFDM." 15th International Joint Conference on e-Business and Telecommunications (ICETE 2018) - Volume 1: DCNET, ICE-B, OPTICS, SIGMAP and WINSYS. Porto, Portugal 26 - 28 Jul 2018 https://doi.org/10.5220/0006828602810288Paper
Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia
Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J. and Raj, Nawin. 2019. "Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia." Journal of Cleaner Production. 216, pp. 288-310. https://doi.org/10.1016/j.jclepro.2019.01.158Article
Exploiting highly qualified pattern with frequency and weight occupancy
Gan, Wensheng, Lin, Jerry Chun-Wei, Fournier-Viger, Philippe, Chao, Han-Chieh, Zhan, Justin and Zhang, Ji. 2018. "Exploiting highly qualified pattern with frequency and weight occupancy." Knowledge and Information Systems. 56 (1), pp. 165-196. https://doi.org/10.1007/s10115-017-1103-8Article
A tourism destination recommender system using users' sentiment and temporal dynamics
Zheng, Xiaoyao, Luo, Yonglong, Sun, Liping, Zhang, Ji and Chen, Fulong. 2018. "A tourism destination recommender system using users' sentiment and temporal dynamics." Journal of Intelligent Information Systems. 51 (3), pp. 557-578. https://doi.org/10.1007/s10844-018-0496-5Article
An efficient approach for EEG sleep spindles detection based on fractal dimension coupled with time frequency image
Al-Salman, Wessam, Li, Yan, Wen, Peng and Diykh, Mohammed. 2018. "An efficient approach for EEG sleep spindles detection based on fractal dimension coupled with time frequency image." Biomedical Signal Processing and Control. 41, pp. 210-221. https://doi.org/10.1016/j.bspc.2017.11.019Article
A novel statistical technique for intrusion detection systems
Kabir, Enamul, Hu, Jiankun, Wang, Hua and Zhou, Guangping. 2018. "A novel statistical technique for intrusion detection systems." Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications. 79, pp. 303-318. https://doi.org/10.1016/j.future.2017.01.029Article
A new nested ensemble technique for automated diagnosis of breast cancer
Abdar, Moloud, Zomorodi-Moghadam, Mariam, Zhou, Xujuan, Gururajan, Raj, Tao, Xiaohui, Barua, Prabal D. and Gururajan, Rashmi. 2020. "A new nested ensemble technique for automated diagnosis of breast cancer." Pattern Recognition Letters. https://doi.org/10.1016/j.patrec.2018.11.004Article
On relational learning and discovery in social networks: a survey
Zhang, Ji, Tan, Leonard and Tao, Xiaohui. 2018. "On relational learning and discovery in social networks: a survey." International Journal of Machine Learning and Cybernetics. 10 (8), pp. 2085-2102. https://doi.org/10.1007/s13042-018-0823-8Article
A novel approach for fuzzy clustering based on neutrosophic association matrix
Long, Hoang Viet, Ali, Mumtaz, Son, Le Hoang, Khan, Mohsin and Tu, Doan Ngoc. 2019. "A novel approach for fuzzy clustering based on neutrosophic association matrix." Computers and Industrial Engineering. 127, pp. 687-697. https://doi.org/10.1016/j.cie.2018.11.007Article
Epileptic seizures detection in EEGs blending frequency domain with information gain technique
Al Ghayab, Hadi Ratham, Li, Yan, Siuly, Siuly and Abdulla, Shahab. 2019. "Epileptic seizures detection in EEGs blending frequency domain with information gain technique." Soft Computing. 23 (1), pp. 227-239. https://doi.org/10.1007/s00500-018-3487-0Article
ICT skill frameworks: do they achieve their goals and users’ expectations?
Brown, Jason and Parr, Alan. 2018. "ICT skill frameworks: do they achieve their goals and users’ expectations?" Advanced Journal of Professional Practice. 1 (2), pp. 38-47.Article
An intelligent recommender system based on short-term disease risk prediction for patients with chronic diseases in a telehealth environment
Lafta, Raid Luaibi. 2018. An intelligent recommender system based on short-term disease risk prediction for patients with chronic diseases in a telehealth environment . PhD Thesis Doctor of Philosophy. University of Southern Queensland.PhD Thesis
High-resolution image generation using warping transformations
Scarmana, Gabriel. 2009. "High-resolution image generation using warping transformations." Assuncao, P. and Faria, S. (ed.) 2009 International Conference on Signal Processing and Multimedia Applications (SIGMAP 2009) . Milan, Italy 07 - 10 Jul 2009 Milan, Italy. https://doi.org/10.5220/0002225900490056Paper
Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment
Yin, Zhenliang, Feng, Qi, Wen, Xiaohu, Deo, Ravinesh C., Yang, Linshan, Si, Jianhua and He, Zhibin. 2018. "Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment." Stochastic Environmental Research and Risk Assessment. 32 (9), pp. 2457-2476. https://doi.org/10.1007/s00477-018-1585-2Article
Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting
Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting." Computers and Electronics in Agriculture. 152, pp. 149-165. https://doi.org/10.1016/j.compag.2018.07.013Article
Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting
Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting." Atmospheric Research. 213, pp. 450-464. https://doi.org/10.1016/j.atmosres.2018.07.005Article
The La Trobe e-Sanctuary: building a cross-reality wildlife sanctuary
Loke, Seng W., Thai, Ba Son, Torabi, Torab, Chan, Ka, Deng, Dennis, Rahayu, Wenny and Stocker, Andrew. 2015. "The La Trobe e-Sanctuary: building a cross-reality wildlife sanctuary." 11th International Conference on Intelligent Environments (IE´15). Prague, Czech Republic 15 - 17 Jul 2015 New York, United States. https://doi.org/10.1109/IE.2015.36Paper
Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters
Fijani, Elham, Barzegar, Rahim, Deo, Ravinesh, Tziritis, Evangelos and Konstantinos, Skordas. 2019. "Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters." Science of the Total Environment. 648, pp. 839-853. https://doi.org/10.1016/j.scitotenv.2018.08.221Article
Seasonal climate forecasts and decision support systems for drought prone agriculture: a case study based on the development and application of the Rainman climate analysis software
Clewett, J. F.. 2003. "Seasonal climate forecasts and decision support systems for drought prone agriculture: a case study based on the development and application of the Rainman climate analysis software." Yokoyama, S. and Concepcion, R. N. (ed.) Coping against El Nino for stabilizing rainfed agriculture: lessons from Asia and the Pacific . CGPRT Centre, Bogor, Indonesia. United Nations. pp. 37-55Edited book (chapter)
Optimising farm dam irrigation in response to climatic risk
Clewett, J. F., Howden, S. M., McKeon, G. M. and Rose, C. W.. 1991. "Optimising farm dam irrigation in response to climatic risk." Muchow, Russell C. and Bellamy, Jennifer A. (ed.) Climatic risk in crop production: models and management for the semiarid tropics and subtropics. Wallingford, Oxon, United Kingdom. CABI. pp. 307-328Edited book (chapter)