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Ravinesh C Deo

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Environmental Monitoring and Assessment|January 19, 2016
An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern QueenslandRavinesh C Deo, Mehmet Şahin
Environmental Monitoring and Assessment|March 9, 2016
Erratum to: An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern QueenslandRavinesh C Deo, Mehmet Şahin
Journal of Environmental Management|May 31, 2021
Evaluating management strategies for sustainable crop production under changing climate conditions: A system dynamics approachYen Pham, Kathryn Reardon-Smith, Ravinesh C Deo
Scientific Reports|October 24, 2023
Explainable AI approach with original vegetation data classifies spatio-temporal nitrogen in flows from ungauged catchments to the Great Barrier ReefCherie M O'Sullivan, Ravinesh C Deo, Afshin Ghahramani
Scientific Reports|December 18, 2023
Author Correction: Explainable AI approach with original vegetation data classifies spatio-temporal nitrogen in flows from ungauged catchments to the Great Barrier ReefCherie M O'Sullivan, Ravinesh C Deo, Afshin Ghahramani
Plos One|June 30, 2021
The role of internal transcribed spacer 2 secondary structures in classifying mycoparasitic AmpelomycesRosa E Prahl, Shahjahan Khan, Ravinesh C Deo
Environmental Science and Pollution Research International|June 1, 2020
Stormwater runoff and pollution retention performances of permeable pavements and the effects of structural factorsWen Liu, Qi Feng, Weiping Chen, et al.
The Science of the Total Environment|December 24, 2019
A hybrid air quality early-warning framework: An hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithmsEkta Sharma, Ravinesh C Deo, Ramendra Prasad, et al.
Computer Methods and Programs in Biomedicine|December 17, 2022
Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognitionMohammed Diykh, Shahab Abdulla, Ravinesh C Deo, et al.
The Science of the Total Environment|November 20, 2022
Pattern recognition describing spatio-temporal drivers of catchment classification for water qualityCherie M O'Sullivan, Afshin Ghahramani, Ravinesh C Deo, et al.
Pageof 5

Showing results (1-10 of 50) with videos related to

Sort By:
Pageof 5
Environmental Monitoring and Assessment|January 19, 2016
An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern QueenslandRavinesh C Deo, Mehmet Şahin
Environmental Monitoring and Assessment|March 9, 2016
Erratum to: An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern QueenslandRavinesh C Deo, Mehmet Şahin
Journal of Environmental Management|May 31, 2021
Evaluating management strategies for sustainable crop production under changing climate conditions: A system dynamics approachYen Pham, Kathryn Reardon-Smith, Ravinesh C Deo
Scientific Reports|October 24, 2023
Explainable AI approach with original vegetation data classifies spatio-temporal nitrogen in flows from ungauged catchments to the Great Barrier ReefCherie M O'Sullivan, Ravinesh C Deo, Afshin Ghahramani
Scientific Reports|December 18, 2023
Author Correction: Explainable AI approach with original vegetation data classifies spatio-temporal nitrogen in flows from ungauged catchments to the Great Barrier ReefCherie M O'Sullivan, Ravinesh C Deo, Afshin Ghahramani
Plos One|June 30, 2021
The role of internal transcribed spacer 2 secondary structures in classifying mycoparasitic AmpelomycesRosa E Prahl, Shahjahan Khan, Ravinesh C Deo
Environmental Science and Pollution Research International|June 1, 2020
Stormwater runoff and pollution retention performances of permeable pavements and the effects of structural factorsWen Liu, Qi Feng, Weiping Chen, et al.
The Science of the Total Environment|December 24, 2019
A hybrid air quality early-warning framework: An hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithmsEkta Sharma, Ravinesh C Deo, Ramendra Prasad, et al.
Computer Methods and Programs in Biomedicine|December 17, 2022
Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognitionMohammed Diykh, Shahab Abdulla, Ravinesh C Deo, et al.
The Science of the Total Environment|November 20, 2022
Pattern recognition describing spatio-temporal drivers of catchment classification for water qualityCherie M O'Sullivan, Afshin Ghahramani, Ravinesh C Deo, et al.
Pageof 5