“Justice for David” or How to Protest Against the Culture of Fear in BiH by Igor Stipic (iASK)
His writing’s key question is very simple: What will happen, if the anger of the people is stronger than fear?
An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines.
A new article with the contribution of Amir Mosavi about an ensemble prediction of flood susceptibility.
Bell’s local causality is a d-separation criterion
A new study by Gábor Hofer-Szabó about Bell’s local causality which was released in Reality and Measurement in Algebraic Quantum Field Theory.
Host use dynamics in a heterogeneous fitness landscape generates oscilaltions and diversification
A new article with the contribution of Daniel Brooks about host use in a heterogeneous fitness landscape.
Visegrád Group Expertise and Position in the Samsung Global Value Chain: A Case Study of Samsung Electronics in the V4 Countries
A new article by Dr. Anikó Magasházi about Visegrád Group Expertise and Position in the Samsung Global Value Chain.
Analysis of prehospital delay time in patients with heart attack
Authors of 1st issue of 2019 of the Hungarian Medical Weekly Journal – including research fellows of iASK – analysed the prehospital delay time in patients with ST-elevation heart attack receiving invasive care.
Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll ‘a’ concentration in coastal waters
A new article by Dr. Amir Mosavi about forecasting of chlorophyll ‘a’ concentration in coastal waters.
Renewable Energy Technology Selection Problem Using Integrated H-SWARA-MULTIMOORA Approach
A new article by Dr. Amir Mosavi about Renewable Energy Technology Selection Problem in Sustainability.
ANFIS pattern for molecular membranes separation optimization
A new article by Dr. Amir Mosavi about ANFIS pattern in the Journal of Molecular Liquids.
Flood Prediction Using Machine Learning Models: Literature Review
A new article by Dr. Amir Mosavi about flood predection in the Journal of Water.
Using Artificial Intelligence Approaches for Optimizing the Production Process of Methyl and Ethyl Esters
This article was written by Dr. Amir Mosavi – contributes to sustainable fuel production through by using artificial intelligence (AI).
Prediction of flood susceptibility using multivariate discriminant analysis
A new article by Dr. Amir Mosavi about flood predection in the Elsevier Journal of Science of The Total Environment.
Sugarcane growth prediction using new artificial methods
Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network
This article is available in www.tandfonline.com
A Hybrid Machine Learning Approach for Daily Prediction of Solar Radiation
In this paper, we present a Cluster-Based Approach (CBA) that utilizes the support vector machine (SVM) and an artificial neural network (ANN) to estimate and predict the daily horizontal global solar radiation
A Hybrid Neuro-Fuzzy Algorithm for Prediction of Reference Evapotranspiration
In this study, a hybrid algorithm of adaptive neuro fuzzy inference system (ANFIS), particle swarm optimization (PSO) and principle component analysis (PCA) is utilized to predict the reference evapotranspiration (ET0)