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Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network This article is available in www.tandfonline.com

Date: October 8-October 12, 2018 Venue: Kőszeg, Chernel street 14. Europe house, Bibo room

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.)

Global climate change is literally beyond belief. It does not favor any political, economic, social, religious or ethnic group. Fourth Lecture of the iASK Series: “The Future of Europe in Global Context” by Daniel Brooks (University of Toronto) Date: on 23rd of April at 2.00 p.m.