Author:Annamária R. Várkonyi-Kóczy

Publications
Smart and Sustainable Grids Using Data-Driven Methods; Considering Artificial Neural Networks and Decision Trees Rituraj Rituraj, Diana Ecker and Varkonyi Koczy Annamaria EasyChair Preprint 8401
Advantages of Anytime Algorithm for Multi-Objective Query Optimization Rituraj Rituraj and Annamária Várkonyi Kóczy EasyChair Preprint 8331
Load Frequency Control Analysis of PV System Using PID and ANFC Controller Rituraj Rituraj and Annamária R. Várkonyi-Kóczy EasyChair Preprint 8330
Data-Driven Methods of Machine Learning in Modeling the Smart Grids Rituraj Rituraj, Diana Ecker and Annamaria Varkonyi Koczy EasyChair Preprint 8273
COVID-19 Outbreak Prediction with Machine Learning Sina F. Ardabili, Amir Mosavi, Pedram Ghamisi, Filip Ferdinand, Annamaria R. Varkonyi-Koczy, Uwe Reuter, Timon Rabczuk and Peter M. Atkinson EasyChair Preprint 3193
Intelligent Road Inspection with Advanced Machine Learning; Hybrid Prediction Models for Smart Mobility and Transportation Maintenance Systems Nader Karballaeezadeh, Farah Zaremotekhases, Shahaboddin Shamshirband, Amir Mosavi, Narjes Nabipour, Peter Csiba and Annamária R. Várkonyi-Kóczy EasyChair Preprint 2416
Modelling Temperature Variation of Mushroom Growing Hall Using Artificial Neural Networks Sina Ardabili, Amir Mosavi, Asghar Mahmoudi, Tarahom Mesri Gundoshmian, Saeed Nosratabadi and Annamária R. Várkonyi-Kóczy EasyChair Preprint 2409
Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO2 Amin Bemani, Alireza Baghban, Shahaboddin Shamshirband, Amir Mosavi, Peter Csiba and Annamária R. Várkonyi-Kóczy EasyChair Preprint 2294

Keyphrases

ACID, active power, Active power generation, adaptive network based fuzzy-inference system, Adaptive Neuro-Fuzzy Inference System (ANFIS), agricultural production, anfc controller, anytime algorithm, Artificial Intelligence, Artificial Neural Networks, Artificial Neural Networks (ANN)², Automatic Generation Control, block diagram, Control Mechanism, Coronavirus, coronavirus disease, cost matrix, COVID-19, ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, Environmental Parameters, execution fee, execution time, experimented anfis based lfc, Falling Weight Deflectometer, food production, food security, frequency deviation, Fuzzy Inference System, Fuzzy Logic, Fuzzy Logic Controller, fuzzy rule, Gbell membership function, Governor Valve, hybrid power, Hybrid power system, intelligent machine system committee, Least Squares Support Vector Machine (LSSVM), load frequency, Load Frequency Controller, machine learning⁴, Machine Learning Algorithms², Maximum Power Point Tracking, Mobility, model, Multi-Layer Perceptron (MLP), multi-objective, Multi-Objective Query Optimization, Multilayer Perceptron, multiple cost matrix, Mushroom growth prediction, Neuro Fuzzy Controller, optimization process, output power, output power command, Pareto frontier, Pavement Condition Index, pavement management, PID controller, power generation, power system, prediction, prediction model, query optimization, query optimization process, Query Plan, Radial Basis Function, reactive power, run-time, SARS-CoV-2, simulation, Smart Grid², solar isolation, solubility, supercritical carbon dioxide, Sustainability, thermal pv hybrid power system, time constant, Transportation.