Search Results - "Deo, Ravinesh C."

Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia by Deo, Ravinesh C., Şahin, Mehmet

“…The prediction of future drought is an effective mitigation tool for assessing adverse consequences of drought events on vital water resources, agriculture,…”
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Application of the Artificial Neural Network model for prediction of monthly Standardized Precipitation and Evapotranspiration Index using hydrometeorological parameters and climate indices in eastern Australia by Deo, Ravinesh C., Şahin, Mehmet

“…The forecasting of drought based on cumulative influence of rainfall, temperature and evaporation is greatly beneficial for mitigating adverse consequences on…”
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Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq by Yaseen, Zaher Mundher, Jaafar, Othman, Deo, Ravinesh C., Kisi, Ozgur, Adamowski, Jan, Quilty, John, El-Shafie, Ahmed

“…•Non-tuned data-driven approach is investigated for monthly stream-flow forecasting.•The model is examined for river flow located in semi-arid environment.•A…”
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Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks by Ghimire, Sujan, Yaseen, Zaher Mundher, Farooque, Aitazaz A., Deo, Ravinesh C., Zhang, Ji, Tao, Xiaohui

“…Streamflow ( Q flow ) prediction is one of the essential steps for the reliable and robust water resources planning and management. It is highly vital for…”
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Designing Deep-Based Learning Flood Forecast Model With ConvLSTM Hybrid Algorithm by Moishin, Mohammed, Deo, Ravinesh C., Prasad, Ramendra, Raj, Nawin, Abdulla, Shahab

“…Efficient, robust, and accurate early flood warning is a pivotal decision support tool that can help save lives and protect the infrastructure in natural…”
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Identifying separate impacts of climate and land use/cover change on hydrological processes in upper stream of Heihe River, Northwest China by Yang, Linshan, Feng, Qi, Yin, Zhenliang, Wen, Xiaohu, Si, Jianhua, Li, Changbin, Deo, Ravinesh C.

“…Climate change and land use/cover change (LUCC) are two factors that produce major impacts on hydrological processes. Understanding and quantifying their…”
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Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction by Ghimire, Sujan, Deo, Ravinesh C, Nawin Raj, Mi, Jianchun

“…Solar energy predictive models designed to emulate the long-term (e.g., monthly) global solar radiation (GSR) trained with satellite-derived predictors can be…”
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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 by Ahmed, A. A. Masrur, Deo, Ravinesh C, Raj, Nawin, Ghahramani, Afshin, Feng, Qi, Yin, Zhenliang, Yang, Linshan

“…Remotely sensed soil moisture forecasting through satellite-based sensors to estimate the future state of the underlying soils plays a critical role in…”
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Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results by Ghimire, Sujan, Deo, Ravinesh C., Wang, Hua, Al-Musaylh, Mohanad S., Casillas-Pérez, David, Salcedo-Sanz, Sancho

“…We review the latest modeling techniques and propose new hybrid SAELSTM framework based on Deep Learning (DL) to construct prediction intervals for daily…”
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Deep Learning Based Over-the-Air Training of Wireless Communication Systems without Feedback by Davey, Christopher P, Shakeel, Ismail, Deo, Ravinesh C, Salcedo-Sanz, Sancho

“…In trainable wireless communications systems, the use of deep learning for over-the-air training aims to address the discontinuity in backpropagation learning…”
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Explainable AI approach with original vegetation data classifies spatio-temporal nitrogen in flows from ungauged catchments to the Great Barrier Reef by O’Sullivan, Cherie M., Deo, Ravinesh C., Ghahramani, Afshin

“…Transfer of processed data and parameters to ungauged catchments from the most similar gauged counterpart is a common technique in water quality modelling. But…”
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Channel-Agnostic Training of Transmitter and Receiver for Wireless Communications by Davey, Christopher P, Shakeel, Ismail, Deo, Ravinesh C, Salcedo-Sanz, Sancho

“…Wireless communications systems are traditionally designed by independently optimising signal processing functions based on a mathematical model. Deep…”
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Application of Deep Learning Models for Automated Identification of Parkinson’s Disease: A Review (2011–2021) by Loh, Hui Wen, Hong, Wanrong, Ooi, Chui Ping, Chakraborty, Subrata, Barua, Prabal Datta, Deo, Ravinesh C., Soar, Jeffrey, Palmer, Elizabeth E., Acharya, U. Rajendra

“…Parkinson’s disease (PD) is the second most common neurodegenerative disorder affecting over 6 million people globally. Although there are symptomatic…”
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Author Correction: Explainable AI approach with original vegetation data classifies spatio-temporal nitrogen in flows from ungauged catchments to the Great Barrier Reef by O’Sullivan, Cherie M., Deo, Ravinesh C., Ghahramani, Afshin

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Experimental Study on the Rainfall-Runoff Responses of Typical Urban Surfaces and Two Green Infrastructures Using Scale-Based Models by Liu, Wen, Feng, Qi, Deo, Ravinesh C., Yao, Lei, Wei, Wei

“…In this study, scale models of typical urban surfaces and two green infrastructures (concave grassland and porous pavement) were constructed, and two simulated…”
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The role of internal transcribed spacer 2 secondary structures in classifying mycoparasitic Ampelomyces by Prahl, Rosa E, Khan, Shahjahan, Deo, Ravinesh C

“…Many fungi require specific growth conditions before they can be identified. Direct environmental DNA sequencing is advantageous, although for some taxa,…”
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Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach by Riaz, Farina, Abdulla, Shahab, Suzuki, Hajime, Ganguly, Srinjoy, Deo, Ravinesh C, Hopkins, Susan

“…Quantum machine learning (QML) has attracted significant research attention over the last decade. Multiple models have been developed to demonstrate the…”
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Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model by Deo, Ravinesh C., Tiwari, Mukesh K., Adamowski, Jan F., Quilty, John M.

“…A drought forecasting model is a practical tool for drought-risk management. Drought models are used to forecast drought indices (DIs) that quantify drought by…”
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Artificial Intelligence-Empowered Doppler Weather Profile for Low-Earth-Orbit Satellites by Sharma, Ekta, Deo, Ravinesh C, Davey, Christopher P, Carter, Brad D

“…Low-Earth-orbit (LEO) satellites are widely acknowledged as a promising infrastructure solution for global Internet of Things (IoT) services. However, the…”
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Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction by Ali, Mumtaz, Deo, Ravinesh C., Xiang, Yong, Prasad, Ramendra, Li, Jianxin, Farooque, Aitazaz, Yaseen, Zaher Mundher

“…Inadequate agricultural planning compounded by inaccurate predictions results in an inflated local market rate and prompts higher importation of wheat. To…”
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