Deo, Ravinesh C: шукати на сайті Z-Library

Kouadio, Louis, Deo, Ravinesh C., Byrareddy, Vivekananda, Adamowski, Jan F., Mushtaq, Shahbaz, Phuong Nguyen, Van

Рік:

2018

Мова:

english

Файл:

PDF, 133 KB

english, 2018

Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties

Журнал:

Computers and Electronics in Agriculture

Рік:

2018

Мова:

english

Файл:

PDF, 4.68 MB

english, 2018

Artificial intelligence-based fast and efficient hybrid approach for spatial modelling of soil electrical conductivity

Ghorbani, Mohammad Ali, Deo, Ravinesh C, Kashani, Mahsa H., Shahabi, Mahmoud, Ghorbani, Shahryar

Журнал:

Soil and Tillage Research

Рік:

2019

Мова:

english

Файл:

PDF, 7.88 MB

english, 2019

[Studies in Big Data] Big Data in Engineering Applications Volume 44 || Application of Big Data Analysis to Operation of Smart Power Systems

Roy, Sanjiban Sekhar, Samui, Pijush, Deo, Ravinesh, Ntalampiras, Stavros

Рік:

2018

Мова:

english

Файл:

PDF, 458 KB

english, 2018

Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia

Rahmati, Omid, Falah, Fatemeh, Dayal, Kavina Shaanu, Deo, Ravinesh C., Mohammadi, Farnoush, Biggs, Trent, Moghaddam, Davoud Davoudi, Naghibi, Seyed Amir, Bui, Dieu Tien

Журнал:

Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur, Yaseen, Zaher Mundher

Рік:

2020

Мова:

english

Файл:

PDF, 6.54 MB

english, 2020

[Springer Transactions in Civil and Environmental Engineering] Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation (Theory and Practice of Hazard Mitigation) ||

Рік:

2021

Файл:

PDF, 21.86 MB

2021

[Springer Transactions in Civil and Environmental Engineering] Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation (Theory and Practice of Hazard Mitigation) || Conjunction Model Design for Intermittent Streamflow Forecasts: Extreme Learning Machine with Discrete Wavelet Transform

Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur, Yaseen, Zaher Mundher

Рік:

2021

Файл:

PDF, 451 KB

2021

Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms

Barzegar, Rahim, Moghaddam, Asghar Asghari, Deo, Ravinesh, Fijani, Elham, Tziritis, Evangelos

Журнал:

Fijani, Elham, Barzegar, Rahim, Deo, Ravinesh, Tziritis, Evangelos, Konstantinos, Skordas

Рік:

2018

Мова:

english

Файл:

PDF, 4.15 MB

english, 2018

Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters

Журнал:

AL-Musaylh, Mohanad S., Deo, Ravinesh C., Adamowski, Jan F., Li, Yan

Рік:

2019

Мова:

english

Файл:

PDF, 3.55 MB

english, 2019

Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia

Журнал:

Renewable and Sustainable Energy Reviews

Рік:

2019

Мова:

english

Файл:

PDF, 6.67 MB

english, 2019

Global Solar Radiation Estimation and Climatic Variability Analysis Using Extreme Learning Machine Based Predictive Model

Hai, Tao, Sharafati, Ahmad, Mohammed, Achite, Salih, Sinan Q., Deo, Ravinesh C., Al-Ansari, Nadhir, Yaseen, Zaher Mundher

Журнал:

IEEE Access

Рік:

2020

Мова:

english

Файл:

PDF, 1.54 MB

english, 2020

Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia

Deo, Ravinesh C., Şahin, Mehmet

Журнал:

Dayal, Kavina S., Deo, Ravinesh C., Apan, Armando A.

Рік:

2015

Мова:

english

Файл:

PDF, 824 KB

english, 2015

Investigating Drought Duration-Severity-Intensity Characteristics Using the Standardized Precipitation-Evapotranspiration Index: Case Studies in Drought-Prone Southeast Queensland

Журнал:

Journal of Hydrologic Engineering

Рік:

2018

Мова:

english

Файл:

PDF, 2.54 MB

english, 2018

Situations, challenges and strategies of urban water management in Beijing under rapid urbanization effect

Liu, Wen, Chen, Weiping, Feng, Qi, Deo, Ravinesh C.

Журнал:

Water Science & Technology Water Supply

Рік:

2018

Мова:

english

Файл:

PDF, 453 KB

english, 2018

Comparison of social-ecological resilience between two grassland management patterns driven by grassland land contract policy in the Maqu, Qinghai-Tibetan Plateau

Cao, Jianjun, Li, Mengtian, Deo, Ravinesh C., Adamowski, Jan F., Cerdà, Artemi, Feng, Qi, Liu, Minxia, Zhang, Jian, Zhu, Guofeng, Zhang, Xuebin, Xu, Xueyun, Yang, Shurong, Gong, Yifan

Журнал:

Land Use Policy

Рік:

2018

Мова:

english

Файл:

PDF, 364 KB

english, 2018

Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors

Sanikhani, Hadi, Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur, Mert, Cihan, Mirabbasi, Rasoul, Gavili, Siavash, Yaseen, Zaher Mundher

Журнал:

Computers and Electronics in Agriculture

Рік:

2018

Мова:

english

Файл:

PDF, 4.87 MB

english, 2018

Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting

Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J., Maraseni, Tek

Журнал:

Computers and Electronics in Agriculture

Рік:

2018

Мова:

english

Файл:

PDF, 3.02 MB

english, 2018

Direct and indirect impacts of ionic components of saline water on irrigated soil chemical and microbial processes

Chen, Lijuan, Li, Changsheng, Feng, Qi, Wei, Yongping, Zhao, Yan, Zhu, Meng, Deo, Ravinesh C.

Журнал:

CATENA

Рік:

2019

Мова:

english

Файл:

PDF, 1.52 MB

english, 2019

Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia

Al-Musaylh, Mohanad S., Deo, Ravinesh C., Adamowski, Jan F., Li, Yan

Журнал:

Advanced Engineering Informatics

Рік:

2018

Мова:

english

Файл:

PDF, 2.19 MB

english, 2018

Multi-household grazing management pattern maintains better soil fertility

Cao, Jianjun, Xu, Xueyun, Deo, Ravinesh C., Holden, Nicholas M., Adamowski, Jan F., Gong, Yifan, Feng, Qi, Yang, Shurong, Li, Mengtian, Zhou, Junju, Zhang, Jian, Liu, Minxia

Журнал:

Agronomy for Sustainable Development

Рік:

2018

Мова:

english

Файл:

PDF, 3.34 MB

english, 2018

Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors

Prasad, Ramendra, Deo, Ravinesh C., Li, Yan, Maraseni, Tek

Журнал:

Soil and Tillage Research

Рік:

2018

Мова:

english

Файл:

PDF, 5.06 MB

english, 2018

[Studies in Big Data] Big Data in Engineering Applications Volume 44 ||

Roy, Sanjiban Sekhar, Samui, Pijush, Deo, Ravinesh, Ntalampiras, Stavros

Рік:

2018

Мова:

english

Файл:

PDF, 12.42 MB

english, 2018

Cotton yield prediction with Markov Chain Monte Carlo-based simulation model integrated with genetic programing algorithm: A new hybrid copula-driven approach

Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J., Maraseni, Tek

Журнал:

Agricultural and Forest Meteorology

Рік:

2018

Мова:

english

Файл:

PDF, 7.74 MB

english, 2018

Effects of topography on soil organic carbon stocks in grasslands of a semiarid alpine region, northwestern China

Zhu, Meng, Feng, Qi, Zhang, Mengxu, Liu, Wei, Qin, Yanyan, Deo, Ravinesh C., Zhang, Chengqi

Журнал:

Journal of Soils and Sediments

Рік:

2018

Мова:

english

Файл:

PDF, 1.03 MB

english, 2018

Universally deployable extreme learning machines integrated with remotely sensed MODIS satellite predictors over Australia to forecast global solar radiation: A new approach

Deo, Ravinesh C., Şahin, Mehmet, Adamowski, Jan F., Mi, Jianchun

Журнал:

Renewable and Sustainable Energy Reviews

Рік:

2019

Файл:

PDF, 9.58 MB

2019

Land subsidence modelling using tree-based machine learning algorithms

Rahmati, Omid, Falah, Fatemeh, Naghibi, Seyed Amir, Biggs, Trent, Soltani, Milad, Deo, Ravinesh C., Cerdà, Artemi, Mohammadi, Farnoush, Tien Bui, Dieu

Журнал:

Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong, Deo, Ravinesh C.

Рік:

2019

Мова:

english

Файл:

PDF, 4.52 MB

english, 2019

[IEEE 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS) - Singapore (2019.2.23-2019.2.25)] 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS) - A Joint Deep Neural Network Model for Pain Recognition from Face

Bargshady, Ghazal, Soar, Jeffrey, Zhou, Xujuan, Deo, Ravinesh C, Whittaker, Frank, Wang, Hua

Рік:

2019

Мова:

english

Файл:

PDF, 203 KB

english, 2019

Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms

Журнал:

Renewable and Sustainable Energy Reviews

Рік:

2020

Файл:

PDF, 8.03 MB

2020

Forecasting long-term precipitation for water resource management: a new multi-step data-intelligent modelling approach

Ali, Mumtaz, Deo, Ravinesh C., Xiang, Yong, Li, Ya, Yaseen, Zaher Mundher

Журнал:

Hydrological Sciences Journal

Рік:

2020

Файл:

PDF, 4.44 MB

2020

Drought prediction till 2100 under RCP 8.5 climate change scenarios for Korea

Park, Chang-Kyun, Byun, Hi-Ryong, Deo, Ravinesh, Lee, Bo-Ra

Журнал:

Deo, Ravinesh C., Byun, Hi-Ryong, Adamowski, Jan F., Begum, Khaleda

Рік:

2015

Мова:

english

Файл:

PDF, 1.92 MB

english, 2015

Application of effective drought index for quantification of meteorological drought events: a case study in Australia

Журнал:

Theoretical and Applied Climatology

Рік:

2017

Мова:

english

Файл:

PDF, 2.56 MB

english, 2017

Boost stream-flow forecasting model with extreme learning machine data-driven: A case study in a semi-arid region in Iraq

Mundher Yaseen, Zaher, Jaafar, Othman, Deo, Ravinesh C., Kisi, Ozgur, Adamowski, Jan, Quilty, John, El-shafie, Ahmed

Журнал:

Deo, Ravinesh C, Kisi, Ozgur, Singh, Vijay P

Рік:

2016

Мова:

english

Файл:

PDF, 1.34 MB

english, 2016

Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model

Журнал:

Deo, Ravinesh C., Samui, Pijush

Рік:

2016

Мова:

english

Файл:

PDF, 1.68 MB

english, 2016

Forecasting Evaporative Loss by Least-Square Support-Vector Regression and Evaluation with Genetic Programming, Gaussian Process, and Minimax Probability Machine Regression: Case Study of Brisbane City

Журнал:

Journal of Hydrologic Engineering

Рік:

2017

Мова:

english

Файл:

PDF, 1.22 MB

english, 2017

Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model

Yaseen, Zaher Mundher, Ebtehaj, Isa, Bonakdari, Hossein, Deo, Ravinesh C., Danandeh Mehr, Ali, Mohtar, Wan Hanna Melini Wan, Diop, Lamine, El-shafie, Ahmed, Singh, Vijay P.

Журнал:

Salcedo-Sanz, Sancho, Deo, Ravinesh C., Cornejo-Bueno, Laura, Camacho-Gómez, Carlos, Ghimire, Sujan

Рік:

2017

Мова:

english

Файл:

PDF, 1.88 MB

english, 2017

An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia

Журнал:

Applied Energy

Рік:

2018

Мова:

english

Файл:

PDF, 1.07 MB

english, 2018

Application of the Hybrid Artificial Neural Network Coupled with Rolling Mechanism and Grey Model Algorithms for Streamflow Forecasting Over Multiple Time Horizons

Yaseen, Zaher Mundher, Fu, Minglei, Wang, Chen, Mohtar, Wan Hanna Melini Wan, Deo, Ravinesh C., El-shafie, Ahmed

Журнал:

Water Resources Management

Рік:

2018

Мова:

english

Файл:

PDF, 1.08 MB

english, 2018

A New Approach to Predict Daily pH in Rivers Based on the “à trous” Redundant Wavelet Transform Algorithm

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

Журнал:

Water, Air & Soil Pollution

Рік:

2018

Мова:

english

Файл:

PDF, 1.83 MB

english, 2018

[Studies in Big Data] Big Data in Engineering Applications Volume 44 || Traffic Condition Monitoring Using Social Media Analytics

Roy, Sanjiban Sekhar, Samui, Pijush, Deo, Ravinesh, Ntalampiras, Stavros

Рік:

2018

Мова:

english

Файл:

PDF, 622 KB

english, 2018

Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities

Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J., Raj, Nawin

Журнал:

Remote Sensing of Environment

Рік:

2018

Мова:

english

Файл:

PDF, 3.92 MB

english, 2018

[Studies in Big Data] Big Data in Engineering Applications Volume 44 || Scalable Framework for Cyber Threat Situational Awareness Based on Domain Name Systems Data Analysis

Roy, Sanjiban Sekhar, Samui, Pijush, Deo, Ravinesh, Ntalampiras, Stavros

Рік:

2018

Мова:

english

Файл:

PDF, 855 KB

english, 2018

Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region

Mouatadid, Soukayna, Raj, Nawin, Deo, Ravinesh C., Adamowski, Jan F.

Журнал:

Roy, Sanjiban Sekhar, Samui, Pijush, Deo, Ravinesh, Ntalampiras, Stavros

Рік:

2018

Мова:

english

Файл:

PDF, 3.52 MB

english, 2018

[Studies in Big Data] Big Data in Engineering Applications Volume 44 || BWT: An Index Structure to Speed-Up Both Exact and Inexact String Matching

Рік:

2018

Мова:

english

Файл:

PDF, 1.83 MB

english, 2018

Bat algorithm for dam–reservoir operation

Ethteram, Mohammad, Mousavi, Sayed-Farhad, Karami, Hojat, Farzin, Saeed, Deo, Ravinesh, Othman, Faridah Binti, Chau, Kwok-wing, Sarkamaryan, Saeed, Singh, Vijay P., El-Shafie, Ahmed

Журнал:

Environmental Earth Sciences

Рік:

2018

Мова:

english

Файл:

PDF, 4.42 MB

english, 2018

Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting

Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J., Maraseni, Tek

Журнал: