268 citations · 1.7k across the 52 of their papers we have counts for
53 papers
Accurate Discharge Coefficient Prediction of Streamlined Weirs by Coupling Linear Regression and Deep Convolutional Gated Recurrent Unit
Weibin Chen, Danial Sharifrazi, Guoxi Liang +3
Streamlined weirs which are a nature-inspired type of weir have gained tremendous attention among hydraulic engineers, mainly owing to their established performance with high disch…
GSVMA: A Genetic-Support Vector Machine-Anova method for CAD diagnosis based on Z-Alizadeh Sani dataset
Javad Hassannataj Joloudari, Faezeh Azizi, Mohammad Ali Nematollahi +3
Coronary heart disease (CAD) is one of the crucial reasons for cardiovascular mortality in middle-aged people worldwide. The most typical tool is angiography for diagnosing CAD. Th…
Prediction of Food Production Using Machine Learning Algorithms of Multilayer Perceptron and ANFIS
Saeed Nosratabadi, Sina Ardabili, Zoltan Lakner +2
Advancing models for accurate estimation of food production is essential for policymaking and managing national plans of action for food security. This research proposes two machin…
Driving Factors Behind the Social Role of Retail Centers on Recreational Activities
Sepideh Baghaee, Saeed Nosratabadi, Farshid Aram +1
Retail centers can be considered as places for interactional and recreational activities and such social roles of retail centers contribute to the popularity of the retail centers.…
Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods
Nooshin Ayoobi, Danial Sharifrazi, Roohallah Alizadehsani +9
The first known case of Coronavirus disease 2019 (COVID-19) was identified in December 2019. It has spread worldwide, leading to an ongoing pandemic, imposed restrictions and costs…
Machine Learning versus Mathematical Model to Estimate the Transverse Shear Stress Distribution in a Rectangular Channel
Babak Lashkar-Ara, Niloofar Kalantari, Zohreh Sheikh Khozani +1
One of the most important subjects of hydraulic engineering is the reliable estimation of the transverse distribution in the rectangular channel of bed and wall shear stresses. Thi…
Analyzing Uniaxial Compressive Strength of Concrete Using a Novel Satin Bowerbird Optimizer
Hossein Moayedi, Amir Mosavi
Surmounting the complexities in analyzing the mechanical parameters of concrete entails selecting an appropriate methodology. This study integrates an artificial neural network (AN…
Synthesizing multi-layer perceptron network with ant lion, biogeography-based dragonfly algorithm evolutionary strategy invasive weed and league champion optimization hybrid algorithms in predicting heating load in residential buildings
Hossein Moayedi, Amir Mosavi
The significance of heating load (HL) accurate approximation is the primary motivation of this research to distinguish the most efficient predictive model among several neural-meta…
Hybrid Artificial Intelligence Methods for Predicting Air Demand in Dam Bottom Outlet
Aliakbar Narimani, Mahdi Moghimi, Amir Mosavi
In large infrastructures such as dams, which have a relatively high economic value, ensuring the proper operation of the associated hydraulic facilities in different operating cond…
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources
S. Salcedo-Sanz, P. Ghamisi, M. Piles +7
This paper reviews the most important information fusion data-driven algorithms based on Machine Learning (ML) techniques for problems in Earth observation. Nowadays we observe and…
Social Capital Contributions to Food Security: A Comprehensive Literature Review
Saeed Nosratabadi, Nesrine Khazami, Marwa Ben Abdallah +4
Social capital creates a synergy that benefits all members of a community. This review examines how social capital contributes to the food security of communities. A systematic lit…
Leader Cultural Intelligence and Organizational Performance
Saeed Nosratabadi, Parvaneh Bahrami, Khodayar Palouzian +1
One of the challenges for international companies is to manage multicultural environments effectively. Cultural intelligence (CQ) is a soft skill required of the leaders of organiz…
Modelling Temperature Variation of Mushroom Growing Hall Using Artificial Neural Networks
Sina Ardabili, Amir Mosavi, Asghar Mahmoudi +3
The recent developments of computer and electronic systems have made the use of intelligent systems for the automation of agricultural industries. In this study, the temperature va…
State of the Art Survey of Deep Learning and Machine Learning Models for Smart Cities and Urban Sustainability
Saeed Nosratabadi, Amir Mosavi, Ramin Keivani +2
Deep learning (DL) and machine learning (ML) methods have recently contributed to the advancement of models in the various aspects of prediction, planning, and uncertainty analysis…
Early detection of the advanced persistent threat attack using performance analysis of deep learning
Javad Hassannataj Joloudari, Mojtaba Haderbadi, Amir Mashmool +3
One of the most common and important destructive attacks on the victim system is Advanced Persistent Threat (APT)-attack. The APT attacker can achieve his hostile goals by obtainin…
Adaptive Neuro-Fuzzy Inference System and a Multilayer Perceptron Model Trained with Grey Wolf Optimizer for Predicting Solar Diffuse Fraction
Randall Claywell, Laszlo Nadai, Felde Imre +1
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 study, the current s…
Extreme learning machine-based model for Solubility estimation of hydrocarbon gases in electrolyte solutions
Narjes Nabipour, Amir Mosavi, Alireza Baghban +2
Calculating hydrocarbon components solubility of natural gases is known as one of the important issues for operational works in petroleum and chemical engineering. In this work, a…
Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran
Mostafa Emadi, Ruhollah Taghizadeh-Mehrjardi, Ali Cherati +3
Estimation of the soil organic carbon content is of utmost importance in understanding the chemical, physical, and biological functions of the soil. This study proposes machine lea…
Generation expansion planning in the presence of wind power plants using a genetic algorithm model
Ali Sahragard, Hamid Falaghi, Mahdi Farhadi +2
One of the essential aspects of power system planning is generation expansion planning (GEP). The purpose of GEP is to enhance construction planning and reduce the costs of install…
Modeling and Uncertainty Analysis of Groundwater Level Using Six Evolutionary Optimization Algorithms Hybridized with ANFIS, SVM, and ANN
Akram Seifi, Mohammad Ehteram, Vijay P. Singh +1
In the present study, six meta-heuristic schemes are hybridized with artificial neural network (ANN), adaptive neuro-fuzzy interface system (ANFIS), and support vector machine (SVM…
Hybrid Machine Learning Models for Crop Yield Prediction
Saeed Nosratabadi, Felde Imre, Karoly Szell +3
Prediction of crop yield is essential for food security policymaking, planning, and trade. The objective of the current study is to propose novel crop yield prediction models based…
A Mobile Cloud-Based eHealth Scheme
Yihe Liu, Aaqif Afzaal Abbasi, Atefeh Aghaei +4
Mobile cloud computing is an emerging field that is gaining popularity across borders at a rapid pace. Similarly, the field of health informatics is also considered as an extremely…
Dynamic Modeling and Adaptive Controlling in GPS-Intelligent Buoy (GIB) Systems Based on Neural-Fuzzy Networks
Dangquan Zhang, Muhammad Aqeel Ashraf, Zhenling Liu +3
Recently, various relations and criteria have been presented to establish a proper relationship between control systems and control the Global Positioning System (GPS)-intelligent…
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics
Amir Mosavi, Pedram Ghamisi, Yaser Faghan +1
The popularity of deep reinforcement learning (DRL) methods in economics have been exponentially increased. DRL through a wide range of capabilities from reinforcement learning (RL…