Author:Gergő Pintér

Publications
COVID-19 Pandemic Prediction for Hungary; a Hybrid Machine Learning Approach Gergo Pinter, Imre Felde, Amir Mosavi, Pedram Ghamisi and Richard Gloaguen EasyChair Preprint 3310
COVID-19 Pandemic Prediction for Hungary; a Hybrid Machine Learning Approach Gergo Pinter, Imre Felde, Amir Mosavi and Pedram Ghamisi EasyChair Preprint 3310
The Role of Urban Morphology Design on Enhancing Physical Activities and Public Health Sadeq Fathi, Hassan Sajadzadeh, Faezeh Mohammadi Sheshkal, Farshid Aram, Gergő Pintér, Imre Felde and Amir Mosavi EasyChair Preprint 3057
Sustainable Banking; Evaluation of the European Business Models Saeed Nosratabadi, Gergő Pintér, Amir Mosavi and Sandor Semperger EasyChair Preprint 2994
Performance Analysis of Combine Harvester using Hybrid Model of Artificial Neural Networks Particle Swarm Optimization László Nádai, Imre Felde, Sina Ardabili, Tarahom Mesri Gundoshmian, Gergő Pintér and Amir Mosavi EasyChair Preprint 2781
Hybrid Machine Learning Model of Extreme Learning Machine Radial basis function for Breast Cancer Detection and Diagnosis; a Multilayer Fuzzy Expert System Sanaz Mojrian, Gergő Pintér, Javad Hassannataj Joloudari, Imre Felde, Narjes Nabipour, László Nádai and Amir Mosavi EasyChair Preprint 1824
Analysis of Mobility Patterns during a Large Social Event Gergő Pintér, László Nádai and Imre Felde EasyChair Preprint 394

Keyphrases

AHP, analysis, Analytic Hierarchy Process, Analytical Network Process, ANN model, ANN-PSO, ann pso model, Artificial Neural Network, Artificial Neural Networks (ANN), breast cancer, breast cancer dataset, Breast Cancer Detection, cancer mass, combine harvester, comparative analysis, Confusion Matrix, Coronavirus, COVID-19, cross validation technique, Data Mining, Data Mining Technique, developed country, electrical engineering obuda university, ELM model, elm rbf model, epithelial cell size, evaluation criterion, expert system, Extreme Learning Machine, Extreme Learning Machine (ELM), Fan speed, first module, fold cross, Fuzzy Linguistic Variable, fuzzy rule, fuzzy system, Health, hidden layer, hybrid machine learning², int agric eng, Large Social Event, linguistic variable, machine learning³, machine learning method, Malignant breast cancer, mobility patterns, model number, multilayer fuzzy expert system, negative rate, neural network², Particle Swarm Optimization, Particle Swarm Optimization (PSO), performance analysis, Physical activities, prediction model, public health, public space, Radial Basis Function, Radial Basis Function (RBF), rmse r2 mape model, SARS-CoV-2, Smart Cities, Support Vector Machine, Support Vector Machine (SVM), Sustainability², Sustainable banking, Sustainable business model, swarm size, target value, urban health, urban morphology, urban planning, Urbanization, Wisconsin Dataset.