4602. Artificial intelligence
| Title | 4602. Artificial intelligence |
|---|---|
| Parent | 46. Information and Computing Sciences |
Latest research outputs
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Comparative study of hybrid-wavelet artificial intelligence models for monthly groundwater depth forecasting in extreme arid regions, Northwest China
Yu, Haijiao, Wen, Xiaohu, Feng, Qi, Deo, Ravinesh C., Si, Jianhua and Wu, Min. 2018. "Comparative study of hybrid-wavelet artificial intelligence models for monthly groundwater depth forecasting in extreme arid regions, Northwest China." Water Resources Management. 32 (1), pp. 301-323. https://doi.org/10.1007/s11269-017-1811-6Article
Predicting compressive strength of lightweight foamed concrete using extreme learning machine model
Yaseen, Zaher Mundher, Deo, Ravinesh C., Hilal, Ameer, Abd, Abbas M., Bueno, Laura Cornejo, Salcedo-sanz, Sancho and Nehdi, Moncef L.. 2018. "Predicting compressive strength of lightweight foamed concrete using extreme learning machine model." Advances in Engineering Software. 115, pp. 112-125. https://doi.org/10.1016/j.advengsoft.2017.09.004Article
Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model
Yaseen, Zaher Mundher, Ebtehaj, Isa, Bonakdari, Hossein, Deo, Ravinesh C., Mehr, Ali Danandeh, Mohtar, Wan Hanna Melini Wan, Diop, Lamine, El-Shafie, Ahmed and Singh, Vijay P.. 2017. "Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model." Journal of Hydrology. 554, pp. 263-276. https://doi.org/10.1016/j.jhydrol.2017.09.007Article
Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA
Yaseen, Zaher Mundher, Ghareb, Mazen Ismaeel, Ebtehaj, Isa, Bonakdari, Hossein, Siddique, Ridwan, Heddam, Sali, Yusif, Ali A. and Deo, Ravinesh. 2018. "Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA." Water Resources Management. 32 (1), pp. 105-122. https://doi.org/10.1007/s11269-017-1797-0Article
Synthetic retrieval of hourly net ecosystem exchange using the neural network model with combined MI and GOCI geostationary sensor datasets and ground-based measurements
Yeom, Jong-Min, Deo, Ravinesh, Chun, Junghwa, Hong, Jinkyu, Kim, Dong-Su, Han, Kyung-Soo and Cho, Jaeil. 2017. "Synthetic retrieval of hourly net ecosystem exchange using the neural network model with combined MI and GOCI geostationary sensor datasets and ground-based measurements." International Journal of Remote Sensing. 38 (23), pp. 7441-7456. https://doi.org/10.1080/01431161.2017.1375573Article
Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle
Deo, Ravinesh C., Downs, Nathan, Parisi, Alfio V., Adamowski, Jan F. and Quilty, John M.. 2017. "Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle." Environmental Research. 155, pp. 141-166. https://doi.org/10.1016/j.envres.2017.01.035Article
Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland
Deo, Ravinesh C. and Sahin, Mehmet. 2017. "Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland." Renewable and Sustainable Energy Reviews. 72, pp. 828-848. https://doi.org/10.1016/j.rser.2017.01.114Article
Big data in engineering applications
Roy, Sanjiban Sekhar, Samui, Pijushi, Deo, Ravinesh and Ntalampiras, Stalampiras (ed.) 2018. Big data in engineering applications. Singapore. Springer.Edited book
Ensemble of adaboost cascades of 3L-LBPs classifiers for license plates detection with low quality images
Al-Shemarry, Meeras Salman, Li, Yan and Abdulla, Shahab. 2018. "Ensemble of adaboost cascades of 3L-LBPs classifiers for license plates detection with low quality images." Expert Systems with Applications. 92, pp. 216-235. https://doi.org/10.1016/j.eswa.2017.09.036Article
Handbook of research on predictive modeling and optimization methods in science and engineering
Kim, Dookie, Roy, Sanjiban Sekhar, Lansivaara, Tim, Deo, Ravinesh C. and Samui, Pijush (ed.) 2018. Handbook of research on predictive modeling and optimization methods in science and engineering. United States. IGI Global.Edited book
Re-imagining standard timescales in forecasting precipitation events for Queensland’s grazing enterprises
McCarthy, E., Deo, R. C., Li, Y. and Maraseni, T.. 2017. "Re-imagining standard timescales in forecasting precipitation events for Queensland’s grazing enterprises." Syme, G., Hatton MacDonald, D., Fulton, B. and Piantadosi, J. (ed.) 22nd International Congress on Modelling and Simulation (MODSIM2017). Hobart, Australia 03 - 08 Dec 2017 Hobart, Tasmania, Australia. Modelling and Simulation Society of Australia and New Zealand .Paper
Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq
Yaseen, Zaher Mundher, Jaafar, Othman, Deo, Ravinesh C., Kisi, Ozgur, Adamowski, Jan, Quilty, John and El-Shafie, Ahmed. 2016. "Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq." Journal of Hydrology. 542, pp. 603-614. https://doi.org/10.1016/j.jhydrol.2016.09.035Article
Diverging importance of drought stress for maize and winter wheat in Europe
Webber, Heidi, Ewert, Frank, Olesen, Jørgen E., Müller, Christoph, Fronzek, Stefan, Ruane, Alex C., Bourgault, Maryse, Martre, Pierre, Ababaei, Behnam, Bindi, Marco, Ferrise, Roberto, Finger, Robert, Fodor, Nándor Fodor, Gabaldón-Leal, Clara, Gaiser, Thomas, Jabloun, Mohamed, Kersebaum, Kurt-Christian, Lizaso, Jon I., Lorite, Ignacio J., ..., Wallach, Daniel. 2018. "Diverging importance of drought stress for maize and winter wheat in Europe." Nature Communications. 9. https://doi.org/10.1038/s41467-018-06525-2Article
Robust feature-based automated multi-view human action recognition system
Chou, Kuang-Pen, Prasad, Mukesh, Wu, Di, Sharma, Nabin, Li, Dong-Lin, Lin, Yu-Feng, Blumenstein, Michael, Lin, Wen-Chieh and Lin, Chin-Teng. 2018. "Robust feature-based automated multi-view human action recognition system." IEEE Access. 6, pp. 15283-15296. https://doi.org/10.1109/ACCESS.2018.2809552Article
Numeric investigation of brain tumor influence on the current distributions during transcranial direct current stimulation
Song, Bo, Wen, Peng, Ahfock, Tony and Li, Yan. 2016. "Numeric investigation of brain tumor influence on the current distributions during transcranial direct current stimulation." IEEE Transactions on Biomedical Engineering. 63 (1), pp. 176-187. https://doi.org/10.1109/TBME.2015.2468672Article
An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland
Deo, Ravinesh C. and Sahin, Mehmet. 2016. "An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland." Environmental Monitoring and Assessment. 188 (90). https://doi.org/10.1007/s10661-016-5094-9Article
Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model
Deo, Ravinesh C., Tiwari, Mukesh K., Adamowski, Jan F. and Quilty, John M.. 2017. "Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model." Stochastic Environmental Research and Risk Assessment. 31 (5), pp. 1211-1240. https://doi.org/10.1007/s00477-016-1265-zArticle
Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model
Deo, Ravinesh C., Kisi, Ogzur and Singh, Vijay P.. 2017. "Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model." Atmospheric Research. 184, pp. 149-175. https://doi.org/10.1016/j.atmosres.2016.10.004Article
A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset
Deo, Ravinesh C., Wen, Xiaohu and Feng, Qi. 2016. "A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset." Applied Energy. 168, pp. 568-593. https://doi.org/10.1016/j.apenergy.2016.01.130Article
Context-driven mood mining
Rana, Rajib. 2016. "Context-driven mood mining." 14th International Conference on Mobile Systems, Applications, and Services (MobiSys 2016). Singapore 25 - 30 Jun 2016 United States. https://doi.org/10.1145/2938559.2938601Poster
Multihop compute-and-forward for generalised two-way relay channels
Wang, Gengkun, Xiang, Wei and Yuan, Jinhong. 2015. "Multihop compute-and-forward for generalised two-way relay channels ." Transactions on Emerging Telecommunications Technologies. 26 (3), pp. 448-460. https://doi.org/10.1002/ett.2644Article
Magnetic encounters and embodied conversations
Goodall, Jane. 2011. "Magnetic encounters and embodied conversations." 2011 ICRA Workshop on Robots and Art: Frontiers in Human-Centred Robotics as Seen by the Arts (ICRA 2011). Shanghai, China 09 - 13 May 2011 Washington, DC. United States .Paper
Depth of anaesthesia patient models and control
Abdulla, Shahab and Wen, Peng. 2011. "Depth of anaesthesia patient models and control." Guo, Shuxiang, Touge, Tetsuo and Xiufen, Ye (ed.) 2011 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2011). Harbin, China 22 - 25 May 2011 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2011.5876701Paper
Automatic Text Summarization Using Fuzzy Inference
Jafari, Mehdi, Shahabi, Amir Shahab, Wang, Jing, Qin, Yongrui, Tao, Xiaohui and Gheisari, Mehdi. 2016. "Automatic Text Summarization Using Fuzzy Inference." 22nd IEEE International Conference on Automation and Computing (ICAC 2016). Colchester, United Kingdom 07 - 08 Sep 2016 United States. https://doi.org/10.1109/IConAC.2016.7604928Paper
Application of hybrid artificial neural network algorithm for the prediction of Standardized Precipitation Index
Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2016. "Application of hybrid artificial neural network algorithm for the prediction of Standardized Precipitation Index." 2016 IEEE Region 10 International Conference: Technologies for Smart Nation (TENCON 2016). Singapore 22 - 25 Nov 2016 Singapore. https://doi.org/10.1109/TENCON.2016.7848588Paper
NSSSD: a new semantic hierarchical storage for sensor data
Gheisari, Mehdi, Movassagh, Ali Akbar, Qin, Yongrui, Yong, Jianming, Tao, Xiaohui, Zhang, Ji and Shen, Haifeng. 2016. "NSSSD: a new semantic hierarchical storage for sensor data." 20th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2016). Nanchang, China 04 - 06 May 2016 United States. https://doi.org/10.1109/CSCWD.2016.7565984Paper
Multi-level big data content services for mental health care
Chen, Jianhui, Han, Jian, Deng, Yue, Zhong, Han, Wang, Ningning, Li, Youjun, Wan, Zhijiang, Kotake, Taihei, Wang, Dongsheng, Tao, Xiaohui and Zhong, Ning. 2016. "Multi-level big data content services for mental health care." Zhong, Ning, Ma, Jianhua, Liu, Jiming, Huang, Runhe and Tao, Xiaohui (ed.) Wisdom web of things, Part II. Switzerland. Springer. pp. 155-180Edited book (chapter)
Recent advances in video-based human action recognition using deep learning: A review
Wu, Di, Sharma, Nabin and Blumenstein, Michael. 2017. "Recent advances in video-based human action recognition using deep learning: A review." 2017 International Joint Conference on Neural Networks (IJCNN). Anchorage, United States 14 - 19 May 2017 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IJCNN.2017.7966210Paper
Information fusion with subject-based information gathering method for intelligent multi-agent models
Tao, Xiaohui, King, John and Li, Yuefeng. 2005. "Information fusion with subject-based information gathering method for intelligent multi-agent models." 7th International Conference on Information Integration and Web-based Applications and Services (iiWAS 2005). Kuala Lumpur, Malaysia 19 - 21 Sep 2005Paper
Ear-phone: a context-aware noise mapping using smart phones
Rana, Rajib, Chou, Chun Tung, Bulusu, Nirupama, Kanhere, Salil and Hu, Wen. 2015. "Ear-phone: a context-aware noise mapping using smart phones." Pervasive and Mobile Computing. 17 (Part A), pp. 1-22. https://doi.org/10.1016/j.pmcj.2014.02.001Article
Opportunistic and context-aware affect sensing on smartphones: the concept, challenges and opportunities
Rana, Rajib, Hume, Margee, Reilly, John, Jurdak, Raja and Soar, Jeffrey. 2016. "Opportunistic and context-aware affect sensing on smartphones: the concept, challenges and opportunities." IEEE Pervasive Computing. 15 (2), pp. 60-69. https://doi.org/10.1109/MPRV.2016.36Article
Excel files of bispectral index (BIS), anaesthesia levels and nominal patient data based on sensitivity to anaesthesia
Abdulla, Shahab. Excel files of bispectral index (BIS), anaesthesia levels and nominal patient data based on sensitivity to anaesthesia. Toowoomba.Dataset
Automatic construction of domain-specific sentiment lexicon for context sensitive opinion retrieval
Lau, Raymond Y. K., Zhang, Wenping and Tao, Xiaohui. 2012. "Automatic construction of domain-specific sentiment lexicon for context sensitive opinion retrieval." Zhou, Yanqun (ed.) 4th IEEE International Conference on Computer Science and Information Technology (ICCSIT 2011). Chengdu, China 10 - 12 Jun 2011 Singapore. https://doi.org/10.7763/IPCSITPaper
Monthly prediction of air temperature in Australia and New Zealand with machine learning algorithms
Salcedo-sanz, S., Deo, R. C., Carro-Calvo, L. and Saavedra-Moreno, B.. 2016. "Monthly prediction of air temperature in Australia and New Zealand with machine learning algorithms." Theoretical and Applied Climatology. 125 (1-2), pp. 13-25. https://doi.org/10.1007/s00704-015-1480-4Article
Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models
Deo, Ravinesh C., Samui, Pijush and Kim, Dookie. 2016. "Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models." Stochastic Environmental Research and Risk Assessment. 30 (6), pp. 1769-1784. https://doi.org/10.1007/s00477-015-1153-yArticle
Study on orthogonal basis NN-based storage modelling for Lake Hume of Upper Murray River, Australia
Li, Ying, Li, Yan and Wang, Xiaofen. 2014. "Study on orthogonal basis NN-based storage modelling for Lake Hume of Upper Murray River, Australia." Wang, Xizhao, Pedrycz, Witold, Chan, Patrick and He, Qiang (ed.) 13th International Conference on Machine Learning and Cybernetics. Langzhou, China Berlin, Germany. https://doi.org/10.1007/978-3-662-45652-1_43Paper
VARIwise: towards autonomous irrigation and a grower's guide
McCarthy, A. C.. 2014. "VARIwise: towards autonomous irrigation and a grower's guide." IRRICOMM – communication of irrigation research in cotton (2014). Narrabri, Australia 11 - 12 Mar 2014 Narrabri, Australia.Presentation
Game development tools for simulating robots and creating interactive learning experiences
Cubero, Samuel N. and Billingsley, John. 2015. "Game development tools for simulating robots and creating interactive learning experiences." Billingsley, John and Brett, Peter (ed.) Machine vision and mechatronics in practice. Heidelberg, Germany. Springer. pp. 113-134Edited book (chapter)
Concerns of ageing and interest in assistive technologies: convenience sampling of attendees at an aged care technology exhibition in China
Soar, Jeffrey and Su, Ying. 2014. "Concerns of ageing and interest in assistive technologies: convenience sampling of attendees at an aged care technology exhibition in China." Liu, Kecheng, Gulliver, Stephen R., Li, Weizi and Yu, Changrui (ed.) 15th IFIP WG 8.1 International Conference on Informatics and Semiotics in Organisations (ICISO 2014): Service Science and Knowledge Innovation. Shanghai, China 23 - 24 May 2014 New York, NY. United States. https://doi.org/10.1007/978-3-642-55355-4_43Paper
Constructive interpretation in design thinking
Kelly, Nick and Gero, John. 2009. "Constructive interpretation in design thinking." Cagdas, G. and Colokoglu, B. (ed.) 27th Conference of the Association for Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2009): Computation: The New Realm of Architectural Design. Istanbul, Turkey 16 - 19 Sep 2009 Vienna, Austria.Paper
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460201. Artificial life and complex adaptive systems
460202. Autonomous agents and multiagent systems
460203. Evolutionary computation
460206. Knowledge representation and reasoning
460207. Modelling and simulation
460208. Natural language processing
460209. Planning and decision making