Author:Imre Felde

Publications
EasyChair Preprint no. 3310
EasyChair Preprint no. 3274
EasyChair Preprint no. 3057
EasyChair Preprint no. 2781
EasyChair Preprint no. 2763
EasyChair Preprint no. 2759
EasyChair Preprint no. 2293
EasyChair Preprint no. 2266
EasyChair Preprint no. 1824
EasyChair Preprint no. 575
EasyChair Preprint no. 394

Keyphrases

Adaptive Neuro-Fuzzy Inference System, Air conditioning, analysis, Analytical Network Process, ANFIS model, ANFIS-GA, ANFIS-PSO, ann ica, ANN model, ann pso model, ANN-PSO, Artificial Neural Network3, artificial neural network gray wolf, Artificial neural network model, Artificial Neural Networks, Artificial Neural Networks (ANN), breast cancer, breast cancer dataset, Breast Cancer Detection, cancer mass, cascade, CIGS solar cell, combine harvester, comparative analysis, Computational Mechanics, Confusion Matrix, control system, Coronavirus, COVID-19, crop yield, Crop yield prediction, cross validation technique, current conduction, Data Mining, Data Mining Technique, deep learning, developed country, electrical engineering budapest, electrical engineering obuda university2, electrolyte solution, ELM model, elm rbf model, energy consumption, epithelial cell size, evaluation criterion, exergy destruction, expert system, Extreme Learning Machine, Extreme Learning Machine (ELM), Extreme Learning Machines, Fan speed, fireworks algorithm, first module, fold cross, food security, fuzzy inference system particle, Fuzzy Linguistic Variable, fuzzy rule, fuzzy system, Gray wolf, Gray Wolf Optimization, Gray Wolf Optimizer, Health, Heat Transfer Coefficients, hidden layer, high performance control system, HVAC, HVAC control system, HVAC system, hybrid machine learning4, Hybrid Machine Learning Method, Hybrid Machine learning model, Hydrocarbon gases, IHCP, Imperialist Competitive Algorithm, int agric eng, kalman kando faculty, Large Social Event, linguistic variable, machine learning4, machine learning method3, machine learning technique, Malignant breast cancer, mechanized drilling, mobility patterns, model number, Model Predictive Control, modeling, multilayer fuzzy expert system, negative rate, neural network4, neural network gray wolf optimizer, neural network imperialist competitive algorithm, obuda university budapest, Optimization, Particle Swarm Optimization2, Particle Swarm Optimization (PSO), performance analysis, Physical activities, Plaxis software, potato sugar beet, prediction model3, public health, public space, Radial Basis Function, Radial Basis Function (RBF), regia technical faculty obuda2, rmse r2 mape model, SARS-CoV-2, Schematic representation, simulation, Smart Cities2, Soft computing technique, solubility, Support Vector Machine, Support Vector Machine (SVM), Sustainability, swarm size, target value, technical faculty obuda university2, thermal comfort, thin film, tunnel, two and four-point probe, urban health, urban morphology, urban planning, urban train lines, Urbanization, wheat barley potato, Wisconsin Dataset.