4699. Other information and computing sciences
| Title | 4699. Other information and computing sciences |
|---|---|
| Parent | 46. Information and Computing Sciences |
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Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran
Ghorbani, M. A., Deo, Ravinesh C., Yaseen, Zaher Mundher, Kashani, Mahsa H. and Mohammadi, Babak. 2018. "Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran." Theoretical and Applied Climatology. 133 (3-4), pp. 1119-1131. https://doi.org/10.1007/s00704-017-2244-0Article
A survey of itemset mining
Fournier-Viger, Philippe, Lin, Jerry Chun-Wei, Vo, Bay, Chi, Tin Truong, Zhang, Ji and Le, Hoai Bac. 2017. "A survey of itemset mining." WIREs Data Mining and Knowledge Discovery. 7 (4). https://doi.org/10.1002/widm.1207Article
Forecasting evaporative loss by least-square support-vector regression and evaluation with genetic programming, Gaussian process, and minimax probability machine regression: case study of Brisbane City
Deo, Ravinesh C. and Samui, Pijush. 2017. "Forecasting evaporative loss by least-square support-vector regression and evaluation with genetic programming, Gaussian process, and minimax probability machine regression: case study of Brisbane City." Journal of Hydrologic Engineering. 22 (6), pp. 1-15. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001506Article
Quantitative thickness prediction of tectonically deformed coal using Extreme Learning Machine and Principal Component Analysis: a case study
Wang, Xin, Li, Yan, Chen, Tongjun, Yan, Qiuyan and Ma, Li. 2017. "Quantitative thickness prediction of tectonically deformed coal using Extreme Learning Machine and Principal Component Analysis: a case study." Computers and Geosciences. 101, pp. 38-47. https://doi.org/10.1016/j.cageo.2017.02.001Article
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
Classify epileptic EEG signals using weighted complex networks based community structure detection
Diykh, Mohammed, Li, Yan and Wen, Peng. 2017. "Classify epileptic EEG signals using weighted complex networks based community structure detection." Expert Systems with Applications. 90, pp. 87-100. https://doi.org/10.1016/j.eswa.2017.08.012Article
Coupling a fast fourier transformation with a machine learning ensemble model to support recommendations for heart disease patients in a telehealth environment
Zhang, Ji, Lafta, Raid, Tao, Xiaohui, Li, Yan, Chen, Fulong, Luo, Yonglong and Zhu, Xiaodong. 2017. "Coupling a fast fourier transformation with a machine learning ensemble model to support recommendations for heart disease patients in a telehealth environment." IEEE Access. 5 (1), pp. 10674-10685. https://doi.org/10.1109/ACCESS.2017.2706318Article
Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm
Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2017. "Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm." Atmospheric Research. 197, pp. 42-63. https://doi.org/10.1016/j.atmosres.2017.06.014Article
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
A networking laboratory using an integrated mixture of physical equipment and simulators
Chan, Ka C. and Haythorne, Sean. 2017. "A networking laboratory using an integrated mixture of physical equipment and simulators." Computer Applications in Engineering Education. 25 (5), pp. 681-692. https://doi.org/10.1002/cae.21829Article
A computer aided analysis scheme for detecting epileptic seizure from EEG data
Kabir, Enamul, Siuly, Siuly, Cao, Jinli and Wang, Hua. 2018. "A computer aided analysis scheme for detecting epileptic seizure from EEG data." International Journal of Computational Intelligence Systems. 11, pp. 663-671. https://doi.org/10.2991/ijcis.11.1.51Article
An empirical study to determine factors that motivate and limit the implementation of ICT in healthcare environments
Hafeez-Baig, Abdul and Gururajan, Raj. 2013. "An empirical study to determine factors that motivate and limit the implementation of ICT in healthcare environments." Deng, Hepu and Standing, Craig (ed.) 24th Australasian Conference on Information Systems (ACIS 2013). Melbourne, Australia 04 - 06 Dec 2013 Melbourne, Australia.Paper
Detecting global outliers from large distributed databases
Zhang, Ji, Cao, Jie and Zhu, Xiaodong. 2012. "Detecting global outliers from large distributed databases." Liu, Yanbing, Yue, Shigang, Leung, Frank H. F., Zhao, Guofeng and Wang, Lipo (ed.) 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2012). Chongqing, China 29 - 31 May 2012 Piscataway, NJ. United States. https://doi.org/10.1109/FSKD.2012.6233948Paper
Performing informetric analysis on information retrieval test collections: Preliminary experiments in the physics domain (rip)
Heck, Tamara and Schaer, Philipp. 2013. "Performing informetric analysis on information retrieval test collections: Preliminary experiments in the physics domain (rip)." 14th International Society of Scientometrics and Informetrics Conference, ISSI 2013. Vienna, Austria 15 - 20 Dec 2013 Vienna.Paper
Comparing decision tree and optimal risk pattern mining for analysing Emergency Ultra Short Stay Unit data
Petrus, Khaleel, Li, Jiuyong and Fahey, Paul. 2008. "Comparing decision tree and optimal risk pattern mining for analysing Emergency Ultra Short Stay Unit data." ICMLC 2008: 7th International Conference on Machine Learning and Cybernetics. Kunming, China 12 - 15 Jul 2008 https://doi.org/10.1109/ICMLC.2008.4620410Paper
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
Detecting sleep spindles in EEGs using wavelet fourier analysis and statistical features
Al-Salman, Wessam, Li, Yan and Wen, Peng. 2019. "Detecting sleep spindles in EEGs using wavelet fourier analysis and statistical features." Biomedical Signal Processing and Control. 48, pp. 80-92. https://doi.org/10.1016/j.bspc.2018.10.004Article
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
rs-local data-mines information from spectral libraries to improve local calibrations
Lobsey, C. R., Viscarra Rossel, R. A., Roudier, P. and Hedley, C. B.. 2017. "rs-local data-mines information from spectral libraries to improve local calibrations." European Journal of Soil Science. 68 (6), pp. 840-852. https://doi.org/10.1111/ejss.12490Article
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
Social technologies in public libraries: exploring best practice
Smeaton, Kathleen and Davis, Kate. 2014. "Social technologies in public libraries: exploring best practice." Library Management. 35 (3), pp. 224-238. https://doi.org/10.1108/LM-09-2013-0087Article
Complex networks approach for EEG signal sleep stages classification
Diykh, Mohammed and Li, Yan. 2016. "Complex networks approach for EEG signal sleep stages classification." Expert Systems with Applications. 63, pp. 241-248. https://doi.org/10.1016/j.eswa.2016.07.004Article
Special issue on knowledge management of web social media
Tao, Xiaohui, Huang, Wei, Mu, Xiangming and Xie, Haoran. 2016. "Special issue on knowledge management of web social media ." Web Intelligence. 14 (4), pp. 273-274. https://doi.org/10.3233/WEB-160343Editorial
Depth of anaesthesia assessment based on adult electroencephalograph beta frequency band
Li, Tianning and Wen, Peng. 2016. "Depth of anaesthesia assessment based on adult electroencephalograph beta frequency band." Physical and Engineering Sciences in Medicine. 39 (3), pp. 773-781. https://doi.org/10.1007/s13246-016-0459-5Article
Fast local neighborhood search algorithm for the no-wait flow shop scheduling with total flow time minimization
Qi, Xuemei, Wang, Hongtao, Zhu, Haihong, Zhang, Ji, Chen, Fulong and Yang, Jie. 2016. "Fast local neighborhood search algorithm for the no-wait flow shop scheduling with total flow time minimization." International Journal of Production Research. 54 (16), pp. 4957-4972. https://doi.org/10.1080/00207543.2016.1150615Article
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
Vulnerability assessment of urban community and critical infrastructures for integrated flood risk management and climate adaptation strategies
Espada, Rudolf, Apan, Armando and McDougall, Kevin. 2017. "Vulnerability assessment of urban community and critical infrastructures for integrated flood risk management and climate adaptation strategies." International Journal of Disaster Resilience in the Built Environment. 8 (4), pp. 375-411. https://doi.org/10.1108/IJDRBE-03-2015-0010Article
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
Filtering and sophisticated data processing for web information gathering
Li, Yuefeng, Zhong, Ning, Zhou, Xujuan and Wu, Sheng-Tang. 2007. "Filtering and sophisticated data processing for web information gathering." Kryszkiewicz, M. (ed.) 2007 International Conference on Rough Sets and Intelligent Systems Paradigms (RSEISP 2007). Warsaw, Poland 28 - 30 Jun 2007 Berlin, Germany.Paper
Integration of information filtering and data mining process for web information retrieval
Zhou, Xujuan, Li, Yuefeng, Bruza, Peter and Xu, Yue. 2007. "Integration of information filtering and data mining process for web information retrieval." Spink, Amanda, Turpin, Andrew and Wu, Mingfang (ed.) 12th Australasian Document Computing Symposium (ADCS 2007). Melbourne, Australia 10 Dec 2007 Melbourne, Australia.Paper
Two-stage model for information filtering
Zhou, Xujuan, Li, Yuefeng, Bruza, Peter, Xu, Yue and Lau, Raymond Y. K.. 2008. "Two-stage model for information filtering." 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2008). Sydney, Australia 09 - 12 Dec 2008 Sydney, NSW, Australia. https://doi.org/10.1109/WIIAT.2008.390Paper
Pattern taxonomy mining for information filtering
Zhou, Xujuan, Li, Yuefeng, Bruza, Peter, Xu, Yue and Lau, Raymond Y. K.. 2008. "Pattern taxonomy mining for information filtering." Wobcke, W. and Zhang, M. (ed.) AI 2008: 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence . Auckland, New Zealand 01 - 05 Dec 2008 Berlin, Germany. https://doi.org/10.1007/978-3-540-89378-3_42Paper