Imre Felde
Imre Felde
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Cited by
Cited by
COVID-19 pandemic prediction for Hungary; a hybrid machine learning approach
G Pinter, I Felde, A Mosavi, P Ghamisi, R Gloaguen
Mathematics 8 (6), 890, 2020
Computer simulation of steel quenching process using a multi-phase transformation model
T Reti, Z Fried, I Felde
Computational Materials Science 22 (3-4), 261-278, 2001
A simplified semi-empirical method to select the processing parameters for laser clad coatings
L Costa, I Felde, T Réti, Z Kálazi, R Colaço, R Vilar, B Verő
Materials Science Forum 414, 385-394, 2002
The rising prospects of cloud robotic applications
S Jordan, T Haidegger, L Kovács, I Felde, I Rudas
2013 IEEE 9th International Conference on Computational Cybernetics (ICCC …, 2013
A non-linear extension of the additivity rule
T Réti, I Felde
Computational materials science 15 (4), 466-482, 1999
The role of urban morphology design on enhancing physical activity and public health
S Fathi, H Sajadzadeh, F Mohammadi Sheshkal, F Aram, G Pinter, I Felde, ...
International journal of environmental research and public health 17 (7), 2359, 2020
Prediction of as-quenched hardness after rapid austenitization and cooling of surface hardened steels
T Reti, G Bagyinszki, I Felde, B Verö, T Bell
Computational materials science 15 (1), 101-112, 1999
A comparative study of methods used for the prediction of nonisothermal austenite decomposition
T Réti, L Horvath, I Felde
Journal of materials engineering and performance 6, 433-441, 1997
Comparative analysis of ANN-ICA and ANN-GWO for crop yield prediction
S Nosratabadi, K Szell, B Beszedes, F Imre, S Ardabili, A Mosavi
2020 RIVF International Conference on Computing and Communication …, 2020
Hybrid machine learning model of extreme learning machine radial basis function for breast cancer detection and diagnosis; a multilayer fuzzy expert system
S Mojrian, G Pinter, JH Joloudari, I Felde, A Szabo-Gali, L Nadai, ...
2020 RIVF International Conference on Computing and Communication …, 2020
Simulation of phase transformations in steel parts produced by laser powder deposition
L Costa, R Vilar, T Réti, R Colaço, AM Deus, I Felde
Materials Science Forum 473, 315-320, 2005
Extreme learning machine-based model for Solubility estimation of hydrocarbon gases in electrolyte solutions
N Nabipour, A Mosavi, A Baghban, S Shamshirband, I Felde
Processes 8 (1), 92, 2020
Configuring genetic algorithm to solve the inverse heat conduction problem
S Szénási, I Felde
2017 IEEE 15th International Symposium on Applied Machine Intelligence and …, 2017
Preparation Methods for Graphene Metal and Polymer Based Composites for EMI Shielding Materials: State of the Art Review of the Conventional and Machine Learning Methods
S Ayub, BH Guan, F Ahmad, MF Javed, A Mosavi, I Felde
Metals 11 (8), 1164, 2021
Artificial intelligence for modeling real estate price using call detail records and hybrid machine learning approach
G Pinter, A Mosavi, I Felde
Entropy 22 (12), 1421, 2020
Rapid COVID-19 diagnosis using deep learning of the computerized tomography Scans
H Tabrizchi, A Mosavi, A Szabo-Gali, I Felde, L Nadai
2020 IEEE 3rd International Conference and Workshop in Óbuda on Electrical …, 2020
ivf Smart Quench- A new, advanced system for safeguarding the performance of the quenching process
S Segerberg, J Bodin, I Felde
4 th International Conference on Quenching and Control of Distortion …, 2003
Unique software bridges the gap between cooling curves and the result of hardening∗
E Troell, H Kristoffersen, J Bodin, S Segerberg, I Felde
HTM Journal of Heat Treatment and Materials 62 (3), 110-115, 2007
Efficient data encoding and filtering for quenching analysis
I Felde, T Reti, XL Chen
Third International Conference on Quenching and Control of Distortion, 208-215, 1999
Quenchant performance analysis using computer simulation
T Reti, I Felde, L Horvath, R Kohlheb, T Bell
Heat Treatment of Metals(UK) 23 (1), 11-14, 1996
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