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).
Vision for a Circular Economy in Kőszeg - Workshop by iASK-CUNY
Ferenc Kiefer: Language and Society - Interactions of Variations
Third European Blue Sky Conference - New Strategies in the Labyrinths of Uncertainty
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
1968 - A Protest Wave Initiating New Trends in Global Politics, Values, Culture
Date: October 8-October 12, 2018
Venue: Kőszeg, Chernel street 14. Europe house, Bibo room
iASK research fellows represented the Institute at the 56th Itinerant Conference of Economists
Achievement of the KRAFT project in Kőszeg - Interview with Ferenc Miszlivetz (director of iASK)
Cultural Heritage Days at iASK
This content is available only in Hungarian.
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)
