268 citations · 1.7k across the 52 of their papers we have counts for
32 papers · 1 filter
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…
Data Science in Economics
Saeed Nosratabadi, Amir Mosavi, Puhong Duan +1
This paper provides the state of the art of data science in economics. Through a novel taxonomy of applications and methods advances in data science are investigated. The data scie…
Sustainable Banking; Evaluation of the European Business Models
Saeed Nosratabadi, Gergo Pinter, Amir Mosavi +1
Sustainable business models also offer banks competitive advantages such as increasing brand reputation and cost reduction. However, no framework is presented to evaluate the susta…
Novel Meta-Heuristic Model for Discrimination between Iron Deficiency Anemia and B-Thalassemia with CBC Indices Based on Dynamic Harmony Search
Sultan Noman Qasem, Amir Mosavi
In recent decades, attention has been directed at anemia classification for various medical purposes, such as thalassemia screening and predicting iron deficiency anemia (IDA). In…
Resource-Aware Network Topology Management Framework
Aaqif Afzaal Abbasi, Shahab Shamshirband, Mohammed A. A. Al-qaness +3
Cloud infrastructure provides computing services where computing resources can be adjusted on-demand. However, the adoption of cloud infrastructures brings concerns like reliance o…
Application of ERA5 and MENA simulations to predict offshore wind energy potential
Shahab Shamshirband, Amir Mosavi, Narjes Nabipour +1
This study explores wind energy resources in different locations through the Gulf of Oman and also their future variability due climate change impacts. In this regard, EC-EARTH nea…
Comparative Analysis of Single and Hybrid Neuro-Fuzzy-Based Models for an Industrial Heating Ventilation and Air Conditioning Control System
Sina Ardabili, Bertalan Beszedes, Laszlo Nadai +3
Hybridization of machine learning methods with soft computing techniques is an essential approach to improve the performance of the prediction models. Hybrid machine learning model…
Performance Analysis of Combine Harvester using Hybrid Model of Artificial Neural Networks Particle Swarm Optimization
Laszlo Nadai, Felde Imre, Sina Ardabili +3
Novel applications of artificial intelligence for tuning the parameters of industrial machines for optimal performance are emerging at a fast pace. Tuning the combine harvesters an…
Comparative analysis of machine learning models for Ammonia Capture of Ionic Liquids
Shahaboddin Shamshirband, Narjes Nabipour, Masoud Hadipoor +2
Industry uses various solvents in the processes of refrigeration and ventilation. Among them, the Ionic liquids (ILs) as the relatively new solvents, are known for their proven eco…
Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm
Saeed Samadianfard, Sajjad Hashemi, Katayoun Kargar +5
Wind power as a renewable source of energy, has numerous economic, environmental and social benefits. In order to enhance and control renewable wind power, it is vital to utilize m…