A5071517100- Hydrological Forecasting Using AI
- Energy Load and Power Forecasting
- Machine Learning and ELM
- Water Quality Monitoring Technologies
- Water Quality Monitoring and Analysis
- Solar Radiation and Photovoltaics
- Hydrology and Watershed Management Studies
- Water Quality and Pollution Assessment
- Neural Networks and Applications
- Climate variability and models
- Infrastructure Maintenance and Monitoring
- Neural Networks and Reservoir Computing
- Geochemistry and Geologic Mapping
- Meteorological Phenomena and Simulations
- Grey System Theory Applications
- Water Systems and Optimization
- Soil and Unsaturated Flow
- Market Dynamics and Volatility
- Concrete Corrosion and Durability
- Plant Water Relations and Carbon Dynamics
- Photovoltaic System Optimization Techniques
- Soil Moisture and Remote Sensing
- Traffic Prediction and Management Techniques
- Materials Engineering and Processing
- Flood Risk Assessment and Management
Duy Tan University
2020-2025
Islamic Azad University of Hamedan
2016-2023
Hamedan University of Technology
2018-2023
University of Tabriz
2023
Persian Gulf University
2023
University of Sistan and Baluchestan
2017-2018
Islamic Azad University, Science and Research Branch
2016
Management strategies for sustainable sugarcane production need to deal with the increasing complexity and variability of whole sugar system. Moreover, they accommodate multiple goals different industry sectors wider community. Traditional disciplinary approaches are unable provide integrated management solutions, an approach based on systems analysis is essential bring about beneficial change The application this water management, environmental cane supply outlined, where literature...
Soil temperature has a vital importance in biological, physical and chemical processes of terrestrial ecosystem its modeling at different depths is very important for land-atmosphere interactions. The study compares four machine learning techniques, extreme (ELM), artificial neural networks (ANN), classification regression trees (CART) group method data handling (GMDH) estimating monthly soil temperatures depths. Various combinations climatic variables are utilized as input to the developed...
Colorectal cancer (CRC) is a form of that impacts both the rectum and colon. Typically, it begins with small abnormal growth known as polyp, which can either be non-cancerous or cancerous. Therefore, early detection colorectal second deadliest after lung cancer, highly beneficial. Moreover, standard treatment for locally advanced widely accepted around world, chemoradiotherapy. Then, in this study, seven artificial intelligence models including decision tree, K-nearest neighbors, Adaboost,...
The ability of the extreme learning machine (ELM) is investigated in modelling groundwater level (GWL) fluctuations using hydro-climatic data obtained for Hormozgan Province, southern Iran. Monthly precipitation, evaporation and previous GWL were used as model inputs. Developed ELM models compared with artificial neural networks (ANN) radial basis function (RBF) models. also autoregressive moving average (ARMA), evaluated mean square errors, absolute error, Nash-Sutcliffe efficiency...
The production of a desired product needs an effective use the experimental model. present study proposes extreme learning machine (ELM) and support vector (SVM) integrated with response surface methodology (RSM) to solve complexity in optimization prediction ethyl ester methyl process. novel hybrid models ELM-RSM ELM-SVM are further used as case estimate yield esters through trans-esterification process from waste cooking oil (WCO) based on American Society for Testing Materials (ASTM)...
The likelihood of surface water and groundwater contamination is higher in regions close to landfills due the possibility leachate percolation, which a potential source pollution. Therefore, proposing reliable framework for monitoring parameters an essential task managers authorities quality control. For this purpose, efficient hybrid artificial intelligence model based on grey wolf metaheuristic optimization algorithm extreme learning machine (ELM-GWO) used predicting landfill (COD BOD5)...