A new article by Dr. Amir Mosavi about Renewable Energy Technology Selection Problem in Sustainability.
From December 10 to December 12
Reinterpreting Bartók for the 21st Century
Fritz Kreisler, the Virtuoso Wonderchild of the Austro-Hungarian Monarchy
Central Europe Then and Now… The Legacy of the Habsburg Monarchy
Book launch: Mitteleuropa Revisited
Years After the Monarchy: The Eszterházy Trió in Concert
A new article by Dr. Amir Mosavi about ANFIS pattern in the Journal of Molecular Liquids.
A new article by Dr. Amir Mosavi about flood predection in the Journal of Water.
Future of Europe – iASK Lecture Series Autumn 2018
Counter-Revolution: Liberal Europe in Retreat by Jan Zielonka (Professor of European Politics, University of Oxford, UK)
Date: 12 November 2018 Monday at 2.00 p.m.
Venue: Zwinger Old-Tower Kőszeg H-9730 Chernel st. 16.
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).
Risk, Responsibility and Resilience – New Strategies in the Labyrinths of Uncertainty. The Institute of Advanced Studies Kőszeg (iASK), in cooperation with the Hungarian Academy of Sciences and the UNESCO is organizing the Third European Blue Sky Conference. Dates: 23-25 November 2018. Venue: Bartók Hall in the Institute of Musicology, the Academy of Sciences in the Buda Castle (address:…
A new article by Dr. Amir Mosavi about flood predection in the Elsevier Journal of Science of The Total Environment.
Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network
This article is available in www.tandfonline.com
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
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)
An article written by Dr. Gábor Kardos was released in East European Yearbook on Human Rights (Issue 1, 2018.)