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2020 – today
- 2023
[c31]Zoltán Biczó, Sándor Szénási, Imre Felde:
A Novel Machine Learning Solution for the Inverse Heat Conduction Problem with Synthetic Datasets. SACI 2023: 117-122- [c30]Sina Ardabili, Amirhosein Mosavi, Imre Felde:
Machine Learning in Heat Transfer: Taxonomy, Review and Evaluation. SACI 2023: 433-442 - [c29]Sina Ardabili, Amir Mosavi, Imre Felde:
Deep learning for 5G and 6G. SACI 2023: 711-720 - [c28]Sina Ardabili, Amirhosein Mosavi, Imre Felde:
Machine Learning in Diabetes Modeling. SISY 2023: 487-494 - [c27]Sina Ardabili, Amirhosein Mosavi, Imre Felde:
Advances of Deep learning in Breast Cancer Modeling. SISY 2023: 501-508 - [c26]Ákos Szabó-Gali, Imre Felde:
Utilizing Artificial Neural Networks for Estimating Heat Transfer Coefficients. SISY 2023: 631-636 - 2022
- [j9]István Á. Harmati
, Robert Fullér, Imre Felde:
On stability of maximal entropy OWA operator weights. Fuzzy Sets Syst. 448: 145-156 (2022) - [j8]Gergo Pintér, Imre Felde:
Commuting Analysis of the Budapest Metropolitan Area Using Mobile Network Data. ISPRS Int. J. Geo Inf. 11(9): 466 (2022) - [j7]Gergo Pintér, Imre Felde:
Awakening City: Traces of the Circadian Rhythm within the Mobile Phone Network Data. Inf. 13(3): 114 (2022) - [c25]César A. Salazar, Javier H. Ramírez-Ramirez, Francisco A. Pérez-González, Miguel A. Quiñones, Luis E. Hernández, Imre Felde, Oscar J. Zapata-Hernández, Nelson F. Garza-Montes-de-Oca, Rafael Colas:
Predicting the Behaviour of Advanced High-Strength Steels by Mathematical Modelling. SACI 2022: 17-22 - [c24]Kerecsen Szabó, Gergo Pintér, Imre Felde:
Evaluating the Socioeconomic Status of a Large Social Event Attendees. SACI 2022: 77-80 - [i11]Gergo Pintér, Imre Felde:
Awakening City: Traces of the Circadian Rhythm within the Mobile Phone Network Data. CoRR abs/2202.11620 (2022) - [i10]Kerecsen Szabó, Gergo Pintér, Imre Felde:
Evaluating the Socioeconomic Status of a Large Social Event Attendees. CoRR abs/2205.14705 (2022) - 2021
- [j6]Gergo Pintér, Imre Felde:
Evaluating the Effect of the Financial Status to the Mobility Customs. ISPRS Int. J. Geo Inf. 10(5): 328 (2021) - [j5]Gergo Pintér, Imre Felde:
Analyzing the Behavior and Financial Status of Soccer Fans from a Mobile Phone Network Perspective: Euro 2016, a Case Study. Inf. 12(11): 468 (2021) - [j4]Sándor Szénási, Gábor Kertész, Imre Felde, László Nádai:
Statistical accident analysis supporting the control of autonomous vehicles. J. Comput. Methods Sci. Eng. 21(1): 85-97 (2021) - [c23]Zoltán Biczó, Imre Felde, Sándor Szénási:
Distorsion Prediction of Additive Manufacturing Process using Machine Learning Methods. SACI 2021: 249-252 - [c22]Ákos Szabó-Gali, Imre Felde, Sándor Szénási:
Adaptive Fireworks Algorithm to solve 2D Inverse Heat Conduction Problem. SACI 2021: 443-448 - [i9]Gergo Pintér, Imre Felde:
Evaluating the Effect of the Financial Status to the Mobility Customs. CoRR abs/2106.07909 (2021) - [i8]Gergo Pintér, Imre Felde:
Analyzing the Behavior of Soccer Fans from a Mobile Phone Network Perspective: Euro 2016, a Case Study. CoRR abs/2108.09291 (2021) - [i7]Gergo Pintér, Imre Felde:
Analyzing the Behavior and Financial Status of Soccer Fans from a Mobile Phone Network Perspective: Euro 2016, a Case Study. CoRR abs/2111.07685 (2021) - 2020
- [j3]Randall Claywell, László Nádai, Imre Felde, Sina Ardabili, Amirhosein Mosavi:
Adaptive Neuro-Fuzzy Inference System and a Multilayer Perceptron Model Trained with Grey Wolf Optimizer for Predicting Solar Diffuse Fraction. Entropy 22(11): 1192 (2020) - [j2]Gergo Pintér, Amir Mosavi, Imre Felde:
Artificial Intelligence for Modeling Real Estate Price Using Call Detail Records and Hybrid Machine Learning Approach. Entropy 22(12): 1421 (2020) - [c21]Sina Ardabili, Bertalan Beszedes, László Nádai, Károly Széll, Amir Mosavi, Imre Felde:
Comparative Analysis of Single and Hybrid Neuro-Fuzzy-Based Models for an Industrial Heating Ventilation and Air Conditioning Control System. RIVF 2020: 1-6 - [c20]Sanaz Mojrian, Gergo Pintér, Javad Hassannataj Joloudari, Imre Felde, Ákos Szabó-Gali, László Nádai, Amir Mosavi:
Hybrid Machine Learning Model of Extreme Learning Machine Radial basis function for Breast Cancer Detection and Diagnosis; a Multilayer Fuzzy Expert System. RIVF 2020: 1-7 - [c19]László Nádai, Imre Felde, Sina Ardabili, Tarahom Mesri Gundoshmian, Gergo Pintér, Amir Mosavi:
Performance Analysis of Combine Harvester using Hybrid Model of Artificial Neural Networks Particle Swarm Optimization. RIVF 2020: 1-6 - [c18]Saeed Nosratabadi, Károly Széll, Bertalan Beszedes, Imre Felde, Sina Ardabili, Amir Mosavi:
Comparative Analysis of ANN-ICA and ANN-GWO for Crop Yield Prediction. RIVF 2020: 1-5 - [c17]Gábor Kertész, Imre Felde:
One-Shot Re-identification using Image Projections in Deep Triplet Convolutional Network. SoSE 2020: 597-602 - [i6]László Nádai, Imre Felde, Sina Ardabili, Tarahom Mesri Gundoshmian, Gergo Pintér, Amir Mosavi:
Performance Analysis of Combine Harvester using Hybrid Model of Artificial Neural Networks Particle Swarm Optimization. CoRR abs/2002.11041 (2020) - [i5]Sina Ardabili, Bertalan Beszedes, László Nádai, Károly Széll, Amir Mosavi, Imre Felde:
Comparative Analysis of Single and Hybrid Neuro-Fuzzy-Based Models for an Industrial Heating Ventilation and Air Conditioning Control System. CoRR abs/2002.11042 (2020) - [i4]Saeed Nosratabadi, Imre Felde, Károly Széll, Sina Ardabili, Bertalan Beszedes, Amir Mosavi:
Hybrid Machine Learning Models for Crop Yield Prediction. CoRR abs/2005.04155 (2020) - [i3]Narjes Nabipour, Amir Mosavi, Alireza Baghban, Shahaboddin Shamshirband, Imre Felde:
Extreme learning machine-based model for Solubility estimation of hydrocarbon gases in electrolyte solutions. CoRR abs/2009.03983 (2020) - [i2]Randall Claywell, László Nádai, Imre Felde, Amir Mosavi:
Adaptive Neuro-Fuzzy Inference System and a Multilayer Perceptron Model Trained with Grey Wolf Optimizer for Predicting Solar Diffuse Fraction. CoRR abs/2009.08275 (2020)
2010 – 2019
- 2019
- [j1]Sándor Szénási, Imre Felde:
Database for Research Projects to Solve the Inverse Heat Conduction Problem. Data 4(3): 90 (2019) - [c16]József Klespitz, Imre Felde, Levente Kovács, Gergely Pintér, László Nádai:
Systemic Fluid Balance Control in Hemodialysis Machines with ANFIS. RIVF 2019: 1-5 - [c15]Gergo Pintér, László Nádai, Gábor Bognár, Zoltán Biczó, Imre Felde:
Activity Pattern Analysis of the Mobile Phone Network During a Large Social Event. RIVF 2019: 1-5 - [c14]Gergo Pintér, Imre Felde:
Prediction of thermal boundary conditions by using PSO. SACI 2019: 113-116 - [c13]Zoltán Fried, Sándor Szénási, Imre Felde:
Prediction of objective function value for heat transfer coefficient function reconstruction by FWA. SACI 2019: 304-307 - [c12]Gergo Pintér, Imre Felde:
Evaluation of urban daily routines by using Mobile Phone Indicators. SACI 2019: 314-319 - [i1]Sanaz Mojrian, Gergo Pintér, Javad Hassannataj Joloudari, Imre Felde, Narjes Nabipour, László Nádai, Amir Mosavi:
Hybrid Machine Learning Model of Extreme Learning Machine Radial basis function for Breast Cancer Detection and Diagnosis; a Multilayer Fuzzy Expert System. CoRR abs/1910.13574 (2019) - 2018
- [c11]Miklos Mezei, Imre Felde:
Mass Event Monitoring by Using Mobile Cell Information: A Case Study for Budapest at the Celebration of the State Foundation Day. SACI 2018: 235-240 - [c10]Gergo Pintér, László Nádai, Gábor Bognár, Imre Felde:
Evaluation of Mobile Phone Signals in Urban Environment During a Large Social Event. SACI 2018: 247-250 - [c9]Sándor Szénási, Imre Felde, Gabor Nagy, Augusto Deus:
Estimating the Heat Transfer Coefficient Using Universal Function Approximator Neural Network. SACI 2018: 401-404 - [c8]Gergo Pintér, László Nádai, Imre Felde:
Analysis of Mobility Patterns During a Large Social Event. SISY 2018: 339-344 - 2017
- [c7]Árpád Varga, György Eigner, Levente Kovács, Imre Felde, Miklos Mezei:
Overview of taxi database from viewpoint of usability for traffic model development: A case study for Budapest. SISY 2017: 105-110 - 2016
- [c6]József K. Tar, Imre J. Rudas, László Nádai, Imre Felde, Bertalan Csanadi:
Tackling complexity and missing information in adaptive control by fixed point transformation-based approach. SMC 2016: 1519-1524 - 2015
- [c5]József K. Tar, László Nádai, Imre Felde, Imre J. Rudas:
Cost Function-Free Optimization in Inverse Kinematics of Open Kinematic Chains. RAAD 2015: 137-145 - [c4]Sándor Szénási, Imre Felde, István Kovács:
Solving one-dimensional IHCP with particle swarm optimization using graphics accelerators. SACI 2015: 365-369 - [c3]László Nádai, Imre Felde:
Adaptive Control by Using Time-Sharing and Fixed Point Transformation. SMC 2015: 2492-2497 - 2014
- [c2]Imre Felde, László Nádai, Miklos Mezei, Gábor Bognár:
Characterization of of urban traffic by using mobile phone traces. SMC 2014: 3360-3363 - [c1]Imre Felde, Wei Shi:
Hybrid approach for solution of inverse heat conduction problems. SMC 2014: 3896-3899
Coauthor Index
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