Search Results - "Alizamir, Meysam"

Dissolved oxygen prediction using a new ensemble method by Kisi, Ozgur, Alizamir, Meysam, Docheshmeh Gorgij, AliReza

“…Prediction of dissolved oxygen which is an important water quality (WQ) parameter is crucial for aquatic managers who have responsibility for the ecosystem…”
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Modelling reference evapotranspiration by combining neuro-fuzzy and evolutionary strategies by Alizamir, Meysam, Kisi, Ozgur, Muhammad Adnan, Rana, Kuriqi, Alban

“…This study investigates the potential of two evolutionary neuro-fuzzy inference systems, adaptive neuro-fuzzy inference system (ANFIS) with particle swarm…”
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Drought modelling by standard precipitation index (SPI) in a semi-arid climate using deep learning method: long short-term memory by Docheshmeh Gorgij, Alireza, Alizamir, Meysam, Kisi, Ozgur, Elshafie, Ahmed

“…Drought modelling is an important issue because it is required for curbing or mitigating its effects, alerting the people to the its consequences, and water…”
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Advanced machine learning model for better prediction accuracy of soil temperature at different depths by Alizamir, Meysam, Kisi, Ozgur, Ahmed, Ali Najah, Mert, Cihan, Fai, Chow Ming, Kim, Sungwon, Kim, Nam Won, El-Shafie, Ahmed

“…Soil temperature has a vital importance in biological, physical and chemical processes of terrestrial ecosystem and its modeling at different depths is very…”
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Design of a hybrid ANN multi-objective whale algorithm for suspended sediment load prediction by Ehteram, Mohammad, Ahmed, Ali Najah, Latif, Sarmad Dashti, Huang, Yuk Feng, Alizamir, Meysam, Kisi, Ozgur, Mert, Cihan, El-Shafie, Ahmed

“…There is a need to develop an accurate and reliable model for predicting suspended sediment load (SSL) because of its complexity and difficulty in practice…”
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Designing a reliable machine learning system for accurately estimating the ultimate condition of FRP-confined concrete by Alizamir, Meysam, Gholampour, Aliakbar, Kim, Sungwon, Keshtegar, Behrooz, Jung, Woo-tai

“…Precisely forecasting how concrete reinforced with fiber-reinforced polymers (FRP) responds under compression is essential for fine-tuning structural designs,…”
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Modelling daily soil temperature by hydro-meteorological data at different depths using a novel data-intelligence model: deep echo state network model by Alizamir, Meysam, Kim, Sungwon, Zounemat-Kermani, Mohammad, Heddam, Salim, Shahrabadi, Amin Hasanalipour, Gharabaghi, Bahram

“…Soil temperature ( T s ) is an essential regulator of a plant’s root growth, evapotranspiration rates, and hence soil water content. Over the last few years,…”
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Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network by Taherei Ghazvinei, Pezhman, Hassanpour Darvishi, Hossein, Mosavi, Amir, Yusof, Khamaruzaman bin Wan, Alizamir, Meysam, Shamshirband, Shahaboddin, Chau, Kwok-wing

“…Management strategies for sustainable sugarcane production need to deal with the increasing complexity and variability of the whole sugar system. Moreover,…”
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Using SVM-RSM and ELM-RSM Approaches for Optimizing the Production Process of Methyl and Ethyl Esters by Faizollahzadeh Ardabili, Sina, Najafi, Bahman, Alizamir, Meysam, Mosavi, Amir, Shamshirband, Shahaboddin, Rabczuk, Timon

“…The production of a desired product needs an effective use of the experimental model. The present study proposes an extreme learning machine (ELM) and a…”
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Assessment of the total organic carbon employing the different nature-inspired approaches in the Nakdong River, South Korea by Kim, Sungwon, Maleki, Niloofar, Rezaie-Balf, Mohammad, Singh, Vijay P., Alizamir, Meysam, Kim, Nam Won, Lee, Jong-Tak, Kisi, Ozgur

“…Total organic carbon (TOC) has vital significance for measuring water quality in river streamflow. The detection of TOC can be considered as an important…”
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A novel method for lake level prediction: deep echo state network by Alizamir, Meysam, Kisi, Ozgur, Kim, Sungwon, Heddam, Salim

“…Accurately prediction of lake level fluctuations is essential for water resources planning and management. In the present study, the potential of a novel…”
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Concrete corrosion in wastewater systems: Prediction and sensitivity analysis using advanced extreme learning machine by Zounemat-Kermani, Mohammad, Alizamir, Meysam, Yaseen, Zaher Mundher, Hinkelmann, Reinhard

“…The implementation of novel machine learning models can contribute remarkably to simulating the degradation of concrete due to environmental factors. This…”
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Developing an efficient explainable artificial intelligence approach for accurate reverse osmosis desalination plant performance prediction: application of SHAP analysis by Alizamir, Meysam, Wang, Mo, Adnan Ikram, Rana Muhammad, Kim, Sungwon, Ahmed, Kaywan Othman, Heddam, Salim

“…In recent decades, securing drinkable water sources has become a pressing concern for populations in various regions worldwide. Therefore, to address the…”
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Investigating Landfill Leachate and Groundwater Quality Prediction Using a Robust Integrated Artificial Intelligence Model: Grey Wolf Metaheuristic Optimization Algorithm and Extreme Learning Machine by Alizamir, Meysam, Kazemi, Zahra, Kazemi, Zohre, Kermani, Majid, Kim, Sungwon, Heddam, Salim, Kisi, Ozgur, Chung, Il-Moon

“…The likelihood of surface water and groundwater contamination is higher in regions close to landfills due to the possibility of leachate percolation, which is…”
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A machine learning approach for predicting the relationship between energy resources and economic development by Cogoljević, Dušan, Alizamir, Meysam, Piljan, Ivan, Piljan, Tatjana, Prljić, Katarina, Zimonjić, Stefan

“…The linkage between energy resources and economic development is a topic of great interest. Research in this area is also motivated by contemporary concerns…”
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Predicting arsenic and heavy metals contamination in groundwater resources of Ghahavand plain based on an artificial neural network optimized by imperialist competitive algorithm by Alizamir, Meysam, Sobhanardakani, Soheil

“…Background: The effects of trace elements on human health and the environment gives importance to the analysis of heavy metals contamination in environmental…”
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Prediction of daily chlorophyll-a concentration in rivers by water quality parameters using an efficient data-driven model: online sequential extreme learning machine by Alizamir, Meysam, Heddam, Salim, Kim, Sungwon, Gorgij, Alireza Docheshmeh, Li, Peiyue, Ahmed, Kaywan Othman, Singh, Vijay P.

“…One of the main concerns of environmental and ecological managers for rivers, lakes, reservoirs, and marine ecosystems is developing a reliable and efficient…”
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Machine Learning and Water Economy: a New Approach to Predicting Dams Water Sales Revenue by Zounemat-Kermani, Mohammad, Ramezani-Charmahineh, Abdollah, Razavi, Reza, Alizamir, Meysam, Ouarda, Taha B.M.J.

“…The proper prediction of water sales revenue allows for pricing policies with a specified trend for the optimized use of water resources. The present work…”
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Kernel Extreme Learning Machine: An Efficient Model for Estimating Daily Dew Point Temperature Using Weather Data by Alizamir, Meysam, Kim, Sungwon, Zounemat-Kermani, Mohammad, Heddam, Salim, Kim, Nam Won, Singh, Vijay P.

“…Accurate estimation of dew point temperature (Tdew) has a crucial role in sustainable water resource management. This study investigates kernel extreme…”
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Estimating the incubated river water quality indicator based on machine learning and deep learning paradigms: BOD5 Prediction by Kim, Sungwon, Alizamir, Meysam, Seo, Youngmin, Heddam, Salim, Chung, Il-Moon, Kim, Young-Oh, Kisi, Ozgur, Singh, Vijay P

“…As an indicator measured by incubating organic material from water samples in rivers, the most typical characteristic of water quality items is biochemical…”
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