Items where Author is "Adamowski, Jan F."

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Number of items: 21.

2019

Qin, Yanyan and Adamowski, Jan F. and Deo, Ravinesh C. and Hu, Zeyong and Cao, Jianjun and Zhu, Meng and Feng, Qi (2019) Controlling factors of plant community composition with respect to the slope aspect gradient in the Qilian Mountains. Ecosphere, 10 (9 - Article e02851). pp. 1-13.

Cao, Jianjun and Gong, Yifan and Adamowski, Jan F. and Deo, Ravinesh C. and Zhu, Guofeng and Dong, Xiaogang and Zhang, Xiaofang and Liu, Haibo and Xin, Cunlin (2019) Effects of stand age on carbon storage in dragon spruce forest ecosystems in the upper reaches of the Bailongjiang River basin, China. Scientific Reports, 9 (1 - Article 3005).

Cao, Jianjun and Adamowski, Jan F. and Deo, Ravinesh C. and Xu, Xueyun and Gong, Yifan and Feng, Qi (2019) Grassland degradation on the Qinghai-Tibetan Plateau: reevaluation of causative factors. Rangeland Ecology and Management. ISSN 1550-7424

Al-Musaylh, Mohanad S. and Deo, Ravinesh C. and 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 (Article 109293). ISSN 1364-0321

Cao, Jianjun and Li, Guangdong and Adamowski, Jan F. and Holden, Nicolas M. and Deo, Ravinesh C. and Hu, Zeyong and Zhu, Guofeng and Xu, Xueyun and Feng, Qi (2019) Suitable exclosure duration for the restoration of degraded alpine grasslands on the Qinghai-Tibetan Plateau. Land Use Policy, 86. pp. 261-267. ISSN 0264-8377

Deo, Ravinesh C. 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

2018

Rajaee, Taher and Ravansalar, Masoud and Adamowski, Jan F. and Deo, Ravinesh C. (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

Deo, Ravinesh C. and Byun, Hi-Ryong and Kim, Ga-Byn and Adamowski, Jan F. (2018) A real-time hourly water index for flood risk monitoring: pilot studies in Brisbane, Australia, and Dobong Observatory, South Korea. Environmental Monitoring and Assessment, 190 (450). ISSN 0167-6369

Deo, Ravinesh C. and Downs, Nathan J. and Adamowski, Jan F. and Parisi, Alfio V. (2018) Adaptive Neuro-Fuzzy Inference System integrated with solar zenith angle for forecasting sub-tropical photosynthetically active radiation. Food and Energy Security, 8 (1).

Kouadio, Louis and Deo, Ravinesh C. and Byrareddy, Vivekananda and Adamowski, Jan F. and Mushtaq, Shahbaz and Nguyen, Van Phuong (2018) Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties. Computers and Electronics in Agriculture, 155. pp. 324-338. ISSN 0168-1699

Zhang, Xiaofang and Adamowski, Jan F. and Deo, Ravinesh C. and Xu, Xueyun and Zhu, Guofeng and Cao, Jianjun (2018) Effects of afforestation on soil bulk density and pH in the Loess Plateau, China. Water, 10 (12 - Article 1710).

Mouatadid, Soukayna and Raj, Nawin and Deo, Ravinesh C. 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

Cao, Jianjun and Xu, Xueyun and Deo, Ravinesh C. and Holden, Nicholas M. and Adamowski, Jan F. and Gong, Yifan and Feng, Qi and Yang, Shurong and Li, Mengtian and Zhou, Junju and Zhang, Jian and Liu, Minxia (2018) Multi-household grazing management pattern maintains better soil fertility. Agronomy for Sustainable Development, 38 (6). pp. 1-7. ISSN 1774-0746

Deo, Ravinesh C. and Adamowski, Jan F. and Begum, Khaleda and Salcedo-Sanz, Sancho and Kim, Do-Woo and Dayal, Kavina S. and Byun, Hi-Ryong (2018) Quantifying flood events in Bangladesh with a daily-step flood monitoring index based on the concept of daily effective precipitation. Theoretical and Applied Climatology. ISSN 0177-798X

Al-Musaylh, Mohanad S. and Deo, Ravinesh C. and Adamowski, Jan F. and Li, Yan (2018) Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia. Advanced Engineering Informatics, 35 (C). pp. 1-16. ISSN 1474-0346

Al-Musaylh, Mohanad S. and Deo, Ravinesh C. and Li, Yan and Adamowski, Jan F. (2018) Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting. Applied Energy, 217. pp. 422-439. ISSN 0306-2619

2017

Deo, Ravinesh C. and Byun, Hi-Ryong and Adamowski, Jan F. and Begum, Khaleda (2017) Application of effective drought index for quantification of meteorological drought events: a case study in Australia. Theoretical and Applied Climatology, 128 (1-2). pp. 359-379. ISSN 0177-798X

Deo, Ravinesh C. 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

Deo, Ravinesh C. 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

2015

Deo, Ravinesh C. and Byun, Hi-Ryong and Adamowski, Jan F. and Kim, Do-Woo (2015) A real-time flood monitoring index based on daily effective precipitation and its application to Brisbane and Lockyer Valley flood events. Water Resources Management, 29 (11). pp. 4075-4093. ISSN 0920-4741

Mouatadid, Soukayna and Deo, Ravinesh C. 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.

This list was generated on Sun Oct 13 23:50:31 2019 AEST.