Search Results - "Mosavi, Amirhosein"

Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility by Band, Shahab S, Janizadeh, Saeid, Chandra Pal, Subodh, Saha, Asish, Chakrabortty, Rabin, Shokri, Manouchehr, Mosavi, Amirhosein

“…This study aims to evaluate a new approach in modeling gully erosion susceptibility (GES) based on a deep learning neural network (DLNN) model and an ensemble…”
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Ensemble Boosting and Bagging Based Machine Learning Models for Groundwater Potential Prediction by Mosavi, Amirhosein, Sajedi Hosseini, Farzaneh, Choubin, Bahram, Goodarzi, Massoud, Dineva, Adrienn A., Rafiei Sardooi, Elham

“…Due to the rapidly increasing demand for groundwater, as one of the principal freshwater resources, there is an urge to advance novel prediction systems to…”
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Mass wasting susceptibility assessment of snow avalanches using machine learning models by Choubin, Bahram, Borji, Moslem, Hosseini, Farzaneh Sajedi, Mosavi, Amirhosein, Dineva, Adrienn A.

“…Snow avalanche is among the most harmful natural hazards with major socioeconomic and environmental destruction in the cold and mountainous regions. The…”
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Principal component analysis to study the relations between the spread rates of COVID-19 in high risks countries by Mahmoudi, Mohammad Reza, Heydari, Mohammad Hossein, Qasem, Sultan Noman, Mosavi, Amirhosein, Band, Shahab S.

“…In this research, the number of patients with Covid-19 and the number of deaths due to this disease in France, Germany, Iran, Italy, Spain, United Kingdom, and…”
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Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms by Band, Shahab S., Janizadeh, Saeid, Chandra Pal, Subodh, Saha, Asish, Chakrabortty, Rabin, Melesse, Assefa M., Mosavi, Amirhosein

“…Flash flooding is considered one of the most dynamic natural disasters for which measures need to be taken to minimize economic damages, adverse effects, and…”
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Fuzzy clustering and distributed model for streamflow estimation in ungauged watersheds by Mosavi, Amirhosein, Golshan, Mohammad, Choubin, Bahram, Ziegler, Alan D., Sigaroodi, Shahram Khalighi, Zhang, Fan, Dineva, Adrienn A.

“…This paper proposes a regionalization method for streamflow prediction in ungauged watersheds in the 7461 km 2 area above the Gharehsoo Hydrometry Station in…”
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Susceptibility mapping of groundwater salinity using machine learning models by Mosavi, Amirhosein, Sajedi Hosseini, Farzaneh, Choubin, Bahram, Taromideh, Fereshteh, Ghodsi, Marzieh, Nazari, Bijan, Dineva, Adrienn A.

“…Increasing groundwater salinity has recently raised severe environmental and health concerns around the world. Advancement of the novel methods for spatial…”
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Deep learned recurrent type-3 fuzzy system: Application for renewable energy modeling/prediction by Cao, Yan, Raise, Amir, Mohammadzadeh, Ardashir, Rathinasamy, Sakthivel, Band, Shahab S., Mosavi, Amirhosein

“…A deep learned recurrent type-3 (RT3) fuzzy logic system (FLS) with nonlinear consequent part is presented for renewable energy modeling and prediction. Beside…”
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Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics by Mosavi, Amirhosein, Faghan, Yaser, Ghamisi, Pedram, Duan, Puhong, Ardabili, Sina Faizollahzadeh, Salwana, Ely, Band, Shahab S.

“…The popularity of deep reinforcement learning (DRL) applications in economics has increased exponentially. DRL, through a wide range of capabilities from…”
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Synthesis of new dihybrid nanofluid of TiO2/MWCNT in water–ethylene glycol to improve mixture thermal performance: preparation, characterization, and a novel correlation via ANN based on orthogonal distance regression algorithm by Li, Yicheng, Moradi, Iman, Kalantar, Mahdi, Babadi, Elmira, Malekahmadi, Omid, Mosavi, Amirhosein

“…Nanofluid refers to the mixture of fluid and solid nanoparticles. If this mixture contains more than one NP or fluid, it is called “hybrid nanofluid”; further,…”
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Food Supply Chain and Business Model Innovation by Nosratabadi, Saeed, Mosavi, Amirhosein, Lakner, Zoltan

“…This paper investigates the contribution of business model innovations in the advancement of novel food supply chains. Through a systematic literature review,…”
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Susceptibility Mapping of Soil Water Erosion Using Machine Learning Models by Mosavi, Amirhosein, Sajedi-Hosseini, Farzaneh, Choubin, Bahram, Taromideh, Fereshteh, Rahi, Gholamreza, Dineva, Adrienn

“…Soil erosion is a serious threat to sustainable agriculture, food production, and environmental security. The advancement of accurate models for soil erosion…”
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Comparative Analysis of Artificial Intelligence Models for Accurate Estimation of Groundwater Nitrate Concentration by Band, Shahab S., Janizadeh, Saeid, Pal, Subodh Chandra, Chowdhuri, Indrajit, Siabi, Zhaleh, Norouzi, Akbar, Melesse, Assefa M., Shokri, Manouchehr, Mosavi, Amirhosein

“…Prediction of the groundwater nitrate concentration is of utmost importance for pollution control and water resource management. This research aims to model…”
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Detection and prediction of lake degradation using landscape metrics and remote sensing dataset by Azareh, Ali, Sardooi, Elham Rafiei, Gholami, Hamid, Mosavi, Amirhosein, Shahdadi, Ali, Barkhori, Saeed

“…Monitoring changes in natural ecosystems is considered essential to natural resource management. Despite the global importance of the lakes’ quality…”
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Comparative study of multilayer perceptron-stochastic gradient descent and gradient boosted trees for predicting daily suspended sediment load: The case study of the Mississippi River, U.S by Shadkani, Sadra, Abbaspour, Akram, Samadianfard, Saeed, Hashemi, Sajjad, Mosavi, Amirhosein, Band, Shahab S.

“…Monitoring sediment transport is essential for managing and maintaining rivers. Estimation of the sediment load in rivers is fundamental for the study of…”
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Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods by Nosratabadi, Saeed, Mosavi, Amirhosein, Duan, Puhong, Ghamisi, Pedram, Filip, Ferdinand, Band, Shahab, Reuter, Uwe, Gama, Joao, Gandomi, Amir

“…This paper provides a comprehensive state-of-the-art investigation of the recent advances in data science in emerging economic applications. The analysis is…”
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Prediction of Thermo-Physical Properties of TiO2-Al2O3/Water Nanoparticles by Using Artificial Neural Network by Sadeghzadeh, Milad, Maddah, Heydar, Ahmadi, Mohammad Hossein, Khadang, Amirhosein, Ghazvini, Mahyar, Mosavi, Amirhosein, Nabipour, Narjes

“…In this paper, an artificial neural network is implemented for the sake of predicting the thermal conductivity ratio of TiO2-Al2O3/water nanofluid…”
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Susceptibility Prediction of Groundwater Hardness Using Ensemble Machine Learning Models by Mosavi, Amirhosein, Hosseini, Farzaneh Sajedi, Choubin, Bahram, Abdolshahnejad, Mahsa, Gharechaee, Hamidreza, Lahijanzadeh, Ahmadreza, Dineva, Adrienn A.

“…Groundwater resources, unlike surface water, are more vulnerable to disturbances and contaminations, as they take a very long time and significant cost to…”
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Adaptive Neuro-Fuzzy Inference System and a Multilayer Perceptron Model Trained with Grey Wolf Optimizer for Predicting Solar Diffuse Fraction by Claywell, Randall, Nadai, Laszlo, Felde, Imre, Ardabili, Sina, Mosavi, Amirhosein

“…The accurate prediction of the solar diffuse fraction (DF), sometimes called the diffuse ratio, is an important topic for solar energy research. In the present…”
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Groundwater salinity susceptibility mapping using classifier Ensemble and Bayesian machine learning models by Mosavi, Amirhosein, Hosseini, Farzaneh Sajedi, Choubin, Bahram, Goodarzi, Massoud, Dineva, Adrienn A.

“…Risk and susceptibility mapping of groundwater salinity (GWS) are challenging tasks for groundwater quality monitoring and management. Advancement of accurate…”
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