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Tao, Hai and Sharafati, Ahmad and Mohammed, Achite and Salih, Sinan Q. and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and 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.

Ghorbani, Mohammad Ali and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Kim, Sungwon and Kashani, Mahasa Hasanpour and 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. ISSN 1432-7643

Ghahramani, Afshin and Howden, S. Mark and del Prado, Agustin and Thomas, Dean T. and Moore, Andrew D. and Ji, Boyu and Ates, Serkan (2019) Climate change impact, adaptation, and mitigation in temperate grazing systems: a review. Sustainability, 11 (Article 7224).

Hegerl, Gabriele C. and Bronnimann, Stefan and Cowan, Tim and Friedman, Andrew R. and Hawkins, Ed and Iles, Carley and Muller, Wolfgang and Schurer, Andrew and Undorf, Sabine (2019) Causes of climate change over the historical record. Environmental Research Letters, 14 (12, Article - 123006).

Yin, Zhenliang and Feng, Qi and Yang, Linshan and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Adamowski, Jan F. and Wen, Xiaohu and Jia, Bing and Si, Jianhua (2019) Projected spatial patterns in precipitation and air temperature for China's northwest region derived from high‐resolution regional climate models. International Journal of Climatology. ISSN 0899-8418

Schurer, Andrew P. and Hegerl, Gabriele C. and Luterbacher, Jurg and Bronnimann, Stefan and Cowan, Tim and Tett, Simon F. B. and Zanchettin, Davide and Timmreck, Claudia (2019) Disentangling the causes of the 1816 European year without a summer. Environmental Research Letters, 14 (094019). pp. 1-10.

Rahmati, Omid and Kornejady, Aiding and Samadi, Mahmood and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Conoscenti, Christian and Lombardo, Luigi and Dayal, Kavina and Taghizadeh-Mehrjardi, Ruhollah and Pourghasemi, Hamid Reza and 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. ISSN 0048-9697

Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Sahin, Mehmet and 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. ISSN 1364-0321

Wen, Xiaohu and Feng, Qi and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Wu, Min and Yin, Zhenliang and 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. ISSN 0022-1694

Ahmed, Shakoor and Alam, Khorshed ORCID: https://orcid.org/0000-0003-2232-0745 and Rashid, Afzalur and Gow, Jeff (2019) Militarisation, energy consumption, CO2 emissions and economic growth in Myanmar. Defence and Peace Economics. pp. 1-27. ISSN 1024-2694

Ng, Benjamin and Cai, Wenju and Cowan, Tim and Bi, Daohua (2018) Influence of internal climate variability on Indian Ocean Dipole properties. Scientific Reports, 8 (1 - Article 13500).

Prasad, Ramendra and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Li, Yan and Maraseni, Tek (2018) Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors. Soil and Tillage Research, 181. pp. 63-81. ISSN 0167-1987

Sanikhani, Hadi and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Yaseen, Zaher Mundheer and Eray, Okan and Kisi, Ozgur (2018) Non-tuned data intelligent model for soil temperature estimation: a new approach. Geoderma, 330. pp. 52-64. ISSN 0016-7061

Nguyen-Huy, Thong ORCID: https://orcid.org/0000-0002-2201-6666 and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Mushtaq, Shahbaz and An-Vo, Duc-Anh and Khan, Shahjahan (2018) Modeling the joint influence of multiple synoptic-scale, climate mode indices on Australian wheat yield using a vine copula-based approach. European Journal of Agronomy, 98. pp. 65-81. ISSN 1161-0301

Prasad, Ramendra and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Li, Yan and Maraseni, Tek (2018) Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition. Geoderma, 330. pp. 136-161. ISSN 0016-7061

Mouatadid, Soukayna and Raj, Nawin and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Adamowski, Jan F. (2018) Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region. Atmospheric Research, 212. pp. 130-149. ISSN 0169-8095

Ali, Mumtaz and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Downs, Nathan J. and Maraseni, Tek (2018) An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index. Atmospheric Research, 207. pp. 155-180. ISSN 0169-8095

Rajaee, Taher and Ravansalar, Masoud and Adamowski, Jan F. and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 (2018) A new approach to predict daily pH in rivers based on the 'a trous' redundant wavelet transform algorithm. Water, Air and Soil Pollution, 229 (3). ISSN 0049-6979

Barzegar, Rahim and Moghaddam, Asghar Asghari and Deo, Ravinesh ORCID: https://orcid.org/0000-0002-2290-6749 and Fijani, Elham and Tziritis, Evangelos (2018) Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms. Science of the Total Environment, 621. pp. 697-712. ISSN 0048-9697

McCarthy, E. and Deo, R. C. ORCID: https://orcid.org/0000-0002-2290-6749 and Li, Y. and Maraseni, T. (2017) Re-imagining standard timescales in forecasting precipitation events for Queensland’s grazing enterprises. In: 22nd International Congress on Modelling and Simulation (MODSIM 2017), 3-8 Dec 2017, Hobart, Tasmania, Australia.

Fordham, Damien A. and Saltre, Frederik and Haythorne, Sean and Wigley, Tom M. L. and Otto-Bliesner, Bette L. and Chan, Ka Ching and Brook, Barry W. (2017) PaleoView: a tool for generating continuous climate projections spanning the last 21 000 years at regional and global scales. Ecography, 40 (11). pp. 1348-1358. ISSN 0906-7590

Ghorbani, Mohammad Ali and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Karimi, Vahid and Yaseen, Zaher Mundher and Terz, Ozlem (2017) Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey. Stochastic Environmental Research and Risk Assessment. ISSN 1436-3240

Yeom, Jong-Min and Deo, Ravinesh ORCID: https://orcid.org/0000-0002-2290-6749 and Chun, Junghwa and Hong, Jinkyu and Kim, Dong-Su and 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. ISSN 0143-1161

Raheli, Bahare and Aalami, Mohammad Taghi and El-Shafie, Ahmed and Ghorbani, Mohammad Ali and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 (2017) Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River. Environmental Earth Sciences, 76 (14). ISSN 1866-6280

Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Tiwari, Mukesh K. and 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. ISSN 1436-3240

Prasad, Ramendra and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and 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. ISSN 0169-8095

Nguyen-Huy, Thong ORCID: https://orcid.org/0000-0002-2201-6666 and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and An-Vo, Duc-Anh and Mushtaq, Shahbaz and Khan, Shahjahan (2017) Copula-statistical precipitation forecasting model in Australia’s agro-ecological zones. Agricultural Water Management, 191. pp. 153-172. ISSN 0378-3774

Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Downs, Nathan and Parisi, Alfio V. and 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. ISSN 0013-9351

Dayal, Kavina and Deo, Ravinesh ORCID: https://orcid.org/0000-0002-2290-6749 and Apan, Armando A. (2017) Drought modelling based on artificial intelligence and neural network algorithms: a case study in Queensland, Australia. In: Climate change adaptation in Pacific countries: fostering resilience and improving the quality of life (Part II). Climate Change Management. Springer International Publishing, pp. 177-198. ISBN 978-3-319-50093-5

Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and 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. ISSN 0169-8095

Dayal, Kavina S. and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Apan, Armando A. (2016) Application of hybrid artificial neural network algorithm for the prediction of Standardized Precipitation Index. In: 2016 IEEE Region 10 International Conference: Technologies for Smart Nation (TENCON 2016), 22-25 Nov 2016, Singapore.

Yaseen, Zaher Mundher and Jaafar, Othman and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Kisi, Ozgur and Adamowski, Jan and 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. ISSN 0022-1694

Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and 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. ISSN 1436-3240

Salcedo-Sanz, S. and Deo, R. C. ORCID: https://orcid.org/0000-0002-2290-6749 and 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. ISSN 0177-798X

Rashid, Md. Mamunur and Beecham, Simon and Chowdhury, Rezaul Kabir (2016) Statistical downscaling of rainfall: a non-stationary and multi-resolution approach. Theoretical and Applied Climatology, 124 (3-4). pp. 919-933. ISSN 0177-798X

Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 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). ISSN 0167-6369

Kim, Do-Woo and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Chung, Jea-Hak and Lee, Jong-Seol (2016) Projection of heat wave mortality related to climate change in Korea. Natural Hazards, 80 (1). pp. 623-637. ISSN 0921-030X

Mouatadid, Soukayna and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Adamowski, Jan F. (2015) Prediction of SPEI using MLR and ANN: a case study for Wilsons Promontory Station in Victoria. In: 2015 IEEE 14th International Conference on Machine Learning and Applications, 9-11 Dec 2015, Miami, Florida, USA.

Shukla, Rituraj and Deo, Ravinesh ORCID: https://orcid.org/0000-0002-2290-6749 and Khare, Deepak (2015) Statistical downscaling of climate change scenarios of rainfall and temperature over Indira Sagar Canal Command area in Madhya Pradesh, India. In: 2015 IEEE 14th International Conference on Machine Learning and Applications, 9-11 Dec 2015, Miami, Florida, USA.

Park, Chang-Kyun and Byun, Hi-Ryong and Deo, Ravinesh ORCID: https://orcid.org/0000-0002-2290-6749 and Lee, Bo-Ra (2015) Drought prediction till 2100 under RCP 8.5 climate change scenarios for Korea. Journal of Hydrology, 526. pp. 221-230. ISSN 0022-1694

Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Sahin, Mehmet (2015) Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia. Atmospheric Research, 153. pp. 512-525. ISSN 0169-8095

Sahib, Basheer and Liu, Xiaoye and McDougall, Kevin (2014) Flood inundation mapping using hydraulic modelling and GIS: a case study in the West Creek sub-catchment. In: 3rd National Conference on Urban Water Management: Storm water 2014 , 13-17 Oct 2014, Adelaide, South Australia.

Xu, Cheng-Yuan and Turnbull, Matthew H. and Tissue, David T. and Lewis, James D. and Carson, Rob and Schuster, William S. F. and Whitehead, David and Walcroft, Adrian S. and Li, Jinbao and Griffin, Kevin L. (2012) Age-related decline of stand biomass accumulation is primarily due to mortality and not to reduction in NPP associated with individual tree physiology, tree growth or stand structure in a Quercus-dominated forest. Journal of Ecology, 100 (2). pp. 428-440. ISSN 0022-0477

Sarker, Md. Abdur Rashid and Alam, Khorshed ORCID: https://orcid.org/0000-0003-2232-0745 and Gow, Jeff (2012) A comparison of the effects of climate change on Aus, Aman and Boro rice yields in Bangladesh: evidence from panel data. In: 41st Australian Conference of Economists (ACE 2012), 8-12 July 2012, Melbourne, Australia.

Cai, Wenju and Cowan, Tim and Sullivan, Arnold and Ribbe, Joachim and Shi, Ge (2011) Are anthropogenic aerosols responsible for the northwest Australia summer rainfall increase? A CMIP3 perspective and implications. Journal of Climate, 24 (10). pp. 2556-2564. ISSN 0894-8755

Cai, W. and Sullivan, A. and Cowan, T. and Ribbe, J. and Shi, G. (2011) Simulation of the Indian Ocean Dipole: a relevant criterion for selecting models for climate projections. Geophysical Research Letters, 38 (3). pp. 1-5. ISSN 0094-8276

Stone, Roger C. and Marcussen, Torben and Mushtaq, Shahbaz (2010) An application of demerit point approach in selection of most suitable climate models to characterise the potential climate change impact on regional Australia. In: American Geophysical Union 2010 Fall Meeting, 13-17 Dec 2010, San Francisco, USA.

Shi, Ge and Ribbe, Joachim and Cowan, Tim and Sullivan, Arnold and Cai, Wenju (2010) Do IPCC AR4 models produce the rainfall increase over Northwest Australia? In: 17th National Conference of the Australian Meteorological and Oceanographic Society: Atmosphere, Oceans, Environment and Society, 27-29 Jan 2010, Canberra, Australia.

Xu, C. and Ribbe, J. (2010) Prepare the next generation for changes: education programs of climate change adaptation at the University of Southern Queensland. In: 2010 International Climate Adaptation Conference: Climate Adaptation Futures: Preparing for the Unavoidable Impacts of Climate Change, 29 June - 1 July 2010, Gold Coast, Australia.

Blazak, Adam and Ribbe, Joachim (2010) Statistical downscaling of projected precipitation in two major Southeast Queensland catchments. In: 17th National Conference of the Australian Meteorological and Oceanographic Society: Atmosphere, Oceans, Environment and Society, 27-29 Jan 2010, Canberra, Australia.

You, Y. and Huber, M. and Muller, R. D. and Poulsen, C. J. and Ribbe, J. (2009) Simulation of the middle miocene climate optimum. Geophysical Research Letters, 36 (4). L04702. ISSN 0094-8276

Shi, Ge and Cai, Wenju and Cowan, Tim and Ribbe, Joachim and Rotstayn, Leon and Dix, Martin (2008) Variability and trend of the north west Australia rainfall: observations and coupled climate modeling. Journal of Climate, 21 (12). pp. 2938-2959. ISSN 0894-8755

Shi, G. and Ribbe, J. and Cai, W. and Cowan, T. (2007) Multidecadal variability in the transmission of ENSO signals to the Indian Ocean. Geophysical Research Letters, 34 (9). L09706. ISSN 0094-8276

You, John Y. and Muller, Dietmar and Huber, Matthew and Otto-Bliesner, Bette and Poulsen, Chris and Sdrolias, Maria and Ribbe, Joachim (2006) Sensitivity study of the role of vegetation in miocene climate change. In: American Geophysical Union Western Pacific Geophysics Meeting 2006, 24-27 Jul 2006, Beijing, China.

Cai, W. and Shi, G. and Cowan, T. and Bi, D. and Ribbe, J. (2005) The response of the southern annular mode, the east Australian current, and the southern mid-latitude ocean circulation to global warming. Geophysical Research Letters, 32 (23). pp. 1-4. ISSN 0094-8276

This list was generated on Tue Apr 7 02:09:43 2020 AEST.