Items for Unique Author : Ahmed, A. A. Masrur

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Number of items: 10.

2022

Raj, Nawin ORCID: https://orcid.org/0000-0002-8364-2644 and Gharineiat, Zahra ORCID: https://orcid.org/0000-0003-0913-151X and Ahmed, Abul Abrar Masrur and Stepanyants, Yury ORCID: https://orcid.org/0000-0003-4546-0310 (2022) Assessment and Prediction of Sea Level Trend in the South Pacific Region. Remote Sensing, 14 (4):986. pp. 1-25.

Ahmed, Abul Abrar Masrur (2022) Development of Deep Learning Hybrid Models for Hydrological Predictions. [Thesis (PhD/Research)]

Ahmed, A. A. Masrur and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Feng, Qi and Ghahramani, Afshin ORCID: https://orcid.org/0000-0002-9648-4606 and Raj, Nawin ORCID: https://orcid.org/0000-0002-8364-2644 and Yin, Zhenliang and Yang, Linshan (2022) Hybrid deep learning method for a week-ahead evapotranspiration forecasting. Stochastic Environmental Research and Risk Assessment, 36 (3). pp. 831-849. ISSN 1436-3240

Ahmed, Abul Abrar Masrur and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Ghimire, Sujan and Downs, Nathan J. ORCID: https://orcid.org/0000-0002-3191-6404 and Devi, Aruna and Barua, Prabal D. ORCID: https://orcid.org/0000-0001-5117-8333 and Yaseen, Zaher M. (2022) Introductory Engineering Mathematics Students’ Weighted Score Predictions Utilising a Novel Multivariate Adaptive Regression Spline Model. Sustainability, 14 (17):11070. pp. 1-27.

Ahmed, A. A. Masrur and Sharma, Ekta and Jui, S. Janifer Jabin and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Nguyen-Huy, Thong ORCID: https://orcid.org/0000-0002-2201-6666 and Ali, Mumtaz ORCID: https://orcid.org/0000-0002-6975-5159 (2022) Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors. Remote Sensing, 45 (5):1136. pp. 1-24.

Ahmed, A. A. Masrur and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Ghahramani, Afshin ORCID: https://orcid.org/0000-0002-9648-4606 and Feng, Qi and Raj, Nawin ORCID: https://orcid.org/0000-0002-8364-2644 and Yin, Zhenliang and Yang, Linshan (2022) New double decomposition deep learning methods for river water level forecasting. Science of the Total Environment, 831:154722. pp. 1-21. ISSN 0048-9697

Jui, S. Janifer Jabin and Ahmed, A. A. Masrur and Bose, Aditi and Raj, Nawin ORCID: https://orcid.org/0000-0002-8364-2644 and Sharma, Ekta and Soar, Jeffrey ORCID: https://orcid.org/0000-0002-4964-7556 and Chowdhury, Md Wasique Islam (2022) Spatiotemporal Hybrid Random Forest Model for Tea Yield Prediction Using Satellite-Derived Variables. Remote Sensing, 14 (3):805. pp. 1-18.

2021

Ahmed, A. A. Masrur and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Raj, Nawin ORCID: https://orcid.org/0000-0002-8364-2644 and Ghahramani, Afshin ORCID: https://orcid.org/0000-0002-9648-4606 and Feng, Qi and Yin, Zhenliang and Yang, Linshan (2021) Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data. Remote Sensing, 13 (4):554. pp. 1-30.

Ahmed, A. A. Masrur and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Feng, Qi and Ghahramani, Afshin ORCID: https://orcid.org/0000-0002-9648-4606 and Raj, Nawin ORCID: https://orcid.org/0000-0002-8364-2644 and Yin, Zhenliang and Yang, Linshan (2021) Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity. Journal of Hydrology, 599:126350. pp. 1-23. ISSN 0022-1694

Ahmed, A. A. Masrur and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Ghahramani, Afshin ORCID: https://orcid.org/0000-0002-9648-4606 and Raj, Nawin ORCID: https://orcid.org/0000-0002-8364-2644 and Feng, Qi and Yin, Zhenliang and Yang, Linshan (2021) LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios. Stochastic Environmental Research and Risk Assessment, 35. pp. 1851-1881. ISSN 1436-3240

This list was generated on Tue Sep 27 05:13:43 2022 AEST.