Author:László Nádai

Publications
Predicting COVID-19 (Coronavirus Disease) Outbreak Dynamics Using SIR-based Models: Comparative Analysis of SIRD and Weibull-SIRD Ahmad Sedaghat, Shahab S. Band, Amir Mosavi and László Nádai EasyChair Preprint no. 4607
Coronavirus (COVID-19) Outbreak Prediction Using Epidemiological Models of Richards Gompertz Logistic Ratkowsky and SIRD Ahmad Sedaghat, Seyed Amir Abbas Oloomi, Mahdi Ashtian Malayer, Shahab S. Band, Nima Rezaei, Amir Mosavi and László Nádai EasyChair Preprint no. 4601
Modeling and Sensitivity Analysis of Coronavirus Disease (COVID-19) Outbreak Prediction Ahmad Sedaghat, Seyed Amir Abbas Oloomi, Mahdi Ashtian Malayer, Shahab S. Band, Amir Mosavi and László Nádai EasyChair Preprint no. 4597
COVID-19 (Coronavirus Disease) Outbreak Prediction Using a Susceptible-Exposed-Symptomatic Infected-Recovered-Super Spreaders-Asymptomatic Infected-Deceased-Critical (SEIR-PADC) Dynamic Model Ahmad Sedaghat, Shahab S. Band, Amir Mosavi and László Nádai EasyChair Preprint no. 4593
Predicting Trends of Coronavirus Disease (COVID19) Using SIRD and Gaussian-SIRD Models Ahmad Sedaghat, Shahab S. Band, Amir Mosavi and László Nádai EasyChair Preprint no. 4587
Rapid COVID-19 Diagnosis Using Deep Learning of the Computerized Tomography Scans Hamed Tabrizchi, Amir Mosavi, Akos Szabo-Gali and László Nádai EasyChair Preprint no. 4226
Adaptive Neuro-Fuzzy Inference System and a Multilayer Perceptron Model Trained with Grey Wolf Optimizer for Predicting Solar Diffuse Fraction Randall Claywell, László Nádai, Imre Felde and Amir Mosavi EasyChair Preprint no. 4180
Hybrid Model of Morphometric Analysis and Statistical Correlation for Hydrological Units Prioritization Yazdan Lorestani, Sadat Feiznia, Amir Mosavi and László Nádai EasyChair Preprint no. 3070
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 no. 2781
Comparative Analysis of Single and Hybrid Neuro-Fuzzy-Based Models for an Industrial Heating Ventilation and Air Conditioning Control System Sina Ardabili, Bertalan Beszédes, László Nádai, Károly Széll, Amir Mosavi and Imre Felde EasyChair Preprint no. 2763
Coronary Artery Disease Diagnosis; Ranking the Significant Features Using Random Trees Model Javad Hassannataj Joloudari, Edris Hassannataj Joloudari, Hamid Saadatfar, Mohammad Ghasemigol, Seyyed Mohammad Razavi, Amir Mosavi, Narjes Nabipour, Shahaboddin Shamshirband and László Nádai EasyChair Preprint no. 2467
Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological ants Shahaboddin Shamshirband, Meisam Babanezhad, Amir Mosavi, Narjes Nabipour, Éva Hajnal, László Nádai and Kwok-Wing Chau EasyChair Preprint no. 2353
Modeling Climate Change Impact on Wind Power Resources Using Adaptive Neuro-Fuzzy Inference System Narjes Nabipour, Amir Mosavi, Éva Hajnal, László Nádai, Shahaboddin Shamshirband and Kwok-Wing Chau EasyChair Preprint no. 2352
Electrical Characterization of CIGS Thin Film Solar Cells by Two and Four-Wires Probe Technique Amir Mosavi, Bertalan Beszédes, Imre Felde, László Nádai and Nima E Gorji EasyChair Preprint no. 2266
Modeling the Temperature Distribution During Laser Hardening Process Amir Mosavi, Fatemeh Salehi, László Nádai, Károly Széll and Nima E Gorji EasyChair Preprint no. 2030
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 no. 1824
Analysis of Mobility Patterns during a Large Social Event Gergő Pintér, László Nádai and Imre Felde EasyChair Preprint no. 394

Keyphrases

adaptive network-based fuzzy inference system diffuse fraction, Adaptive Neuro-Fuzzy Inference System², Adaptive Neuro-Fuzzy Inference System (ANFIS), Air conditioning, analysis, ANFIS model, ANFIS-GA, ANFIS-PSO, ANN model, ann pso model, ANN-PSO, Ant Colony Optimization Algorithm (ACO), Artificial Intelligence, Artificial Neural Network², Artificial Neural Networks (ANN), Big Data, breast cancer, breast cancer dataset, Breast Cancer Detection, Bubble column reactor, cancer mass, cascade, CIGS solar cell, combine harvester, comparative analysis, compartmental model², Computational Fluid Dynamics (CFD), computerized tomography, Confusion Matrix, control system, coronary artery disease, coronary artery disease diagnosis, coronavirus disease⁵, COVID-19⁶, cross validation technique, current conduction, Data Mining, Data Mining Technique, deep learning, developed country, dynamical downscaling, dynamics, electrical engineering budapest, electrical engineering obuda university, ELM model, elm rbf model, energy consumption, epidemiological model⁵, epithelial cell size, evaluation criterion, exergy destruction, expert system, Extreme Learning Machine, Extreme Learning Machine (ELM), Fan speed, first module, flow pattern, fold cross, fuzzy inference system particle, Fuzzy Linguistic Variable, fuzzy rule, fuzzy system, Gaussian-SIRD model, Gulf Cooperation Council, Health Informatics, Heart Disease, heat treatment, hidden layer, high performance control system, HVAC, HVAC control system, HVAC system, hybrid machine learning³, Hybrid Machine learning model, hydraulics, hydrological modeling, image-based diagnosis, int agric eng, kalman kando faculty, Large Social Event, Laser hardening, linguistic variable, machine learning⁸, machine learning method², machine learning technique, Malignant breast cancer, mobility patterns, model number, Model Predictive Control, Morphometric analysis, multilayer fuzzy expert system, Multilayer Perceptron, negative rate, neural network³, Outbreak, outbreak model⁴, Particle Swarm Optimization², Particle Swarm Optimization (PSO), performance analysis, prediction³, prediction model, Predictive Features, Prioritization, Radial Basis Function, Radial Basis Function (RBF), regia technical faculty obuda, regional climate change model, renewable energy, rmse r2 mape model, SARS-CoV-2, Schematic representation, sediment yield index (SYI), SEIR-PADC model, SIR model, SIRD model², Soft computing technique, Solid phase transformation, statistical modeling, Support Vector Machine, Support Vector Machine (SVM), swarm size, target value, technical faculty obuda university, Temporal-temperature proﬁle, thermal comfort, thin film, two and four-point probe, Weibull, wind turbine, Wisconsin Dataset.