no code implementations • 13 Sep 2020 • Randall Claywell, Laszlo Nadai, Felde Imre, Amir Mosavi
The accurate prediction of the solar Diffuse Fraction (DF), sometimes called the Diffuse Ratio, is an important topic for solar energy research.
no code implementations • 22 Feb 2020 • Sina Ardabili, Bertalan Beszedes, Laszlo Nadai, Karoly Szell, Amir Mosavi, Felde Imre
Hybridization of machine learning methods with soft computing techniques is an essential approach to improve the performance of the prediction models.
no code implementations • 22 Feb 2020 • Laszlo Nadai, Felde Imre, Sina Ardabili, Tarahom Mesri Gundoshmian, Pinter Gergo, Amir Mosavi
Novel applications of artificial intelligence for tuning the parameters of industrial machines for optimal performance are emerging at a fast pace.
no code implementations • 16 Jan 2020 • Javad Hassannataj Joloudari, Edris Hassannataj Joloudari, Hamid Saadatfar, Mohammad GhasemiGol, Seyyed Mohammad Razavi, Amir Mosavi, Narjes Nabipour, Shahaboddin Shamshirband, Laszlo Nadai
Among the vast number of heart diseases, the coronary artery disease (CAD) is considered as a common cardiovascular disease with a high death rate.
no code implementations • 9 Jan 2020 • Narjes Nabipour, Amir Mosavi, Eva Hajnal, Laszlo Nadai, Shahab Shamshirband, Kwok-wing Chau
The near-surface wind data obtained from a regional climate model are employed to investigate climate change impacts on the wind power resources in the Caspian Sea.
no code implementations • 9 Jan 2020 • Shahab Shamshirband, Meisam Babanezhad, Amir Mosavi, Narjes Nabipour, Eva Hajnal, Laszlo Nadai, Kwok-wing Chau
This method can anticipate the flow characteristics in the reactor using almost 30 % of the whole data in the domain.
no code implementations • 29 Oct 2019 • Sanaz Mojrian, Gergo Pinter, Javad Hassannataj Joloudari, Imre Felde, Narjes Nabipour, Laszlo Nadai, Amir Mosavi
The performance of the proposed model is further compared with a linear-SVM model.