Author:Sina Ardabili

Publications
Diffusion Analysis with High and Low Concentration Regions by the Finite Difference Method, the Adaptive Network-Based Fuzzy Inference System, and the Bilayered Neural Network Method Qike Shao, Sina Ardabili, Majdi Mafarja, Hamza Turabieh, Qian Zhang, Shahab S. Band, Kwok-Wing Chau and Amir Mosavi EasyChair Preprint 7764
Integration of Neural Network and Fuzzy Logic Decision Making Compared with Bilayered Neural Network in the Simulation of Daily Dew Point Temperature Guodao Zhang, Shahab S. Band, Sina Ardabili, Kwok-Wing Chau and Amir Mosavi EasyChair Preprint 7759
Prediction of Food Production Using Machine Learning Algorithms of Multilayer Perceptron and ANFIS Saeed Nosratabadi, Sina Ardabili, Zoltan Lakner, Csaba Mako and Amir Mosavi EasyChair Preprint 5418
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
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
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 2763
Comparative Analysis of ANN-ICA and ANN-GWO for Crop Yield Prediction Saeed Nosratabadi, Karoly Szell, Bertalan Beszedes, Imre Felde, Sina Ardabili and Amir Mosavi EasyChair Preprint 2759
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
State of the Art Survey of Deep Learning and Machine Learning Models for Smart Cities and Urban Sustainability Saeed Nosratabadi, Amir Mosavi, Ramin Keivani, Sina Ardabili and Farshid Aram EasyChair Preprint 2397

Keyphrases

Adaptive Neuro-Fuzzy Inference System, agricultural production², Air conditioning, ANFIS², ANFIS-GA, ANFIS model, ANFIS-PSO, ann ica, ANN model, ANN-PSO, ann pso model, Artificial Intelligence, Artificial Neural Network³, artificial neural network gray wolf, Artificial neural network model, Artificial Neural Networks, Artificial Neural Networks (ANN)², Big Data, bilayer neural network, Bilayered neural network, Cities of future, combine harvester, comparative analysis, control system, Coronavirus, coronavirus disease, COVID-19, crop yield, Crop yield prediction, Data Science, deep learning, dew point, diffusion of molecules, diffusion phenomena, electrical engineering budapest, electrical engineering obuda university², energy consumption, Environmental Parameters, exergy destruction, Fan speed, food production², food security², fuzzy inference system particle, Gray wolf, Gray Wolf Optimization, Gray Wolf Optimizer, hidden layer, high performance control system, HVAC, HVAC control system, HVAC system, hybrid machine learning³, Hybrid Machine Learning Method, Hybrid Machine learning model, Imperialist Competitive Algorithm, int agric eng, Internet of Things, kalman kando faculty, machine learning⁸, machine learning method³, machine learning technique, model, model number, Model Predictive Control, Mushroom growth prediction, neural network³, neural network gray wolf optimizer, neural network imperialist competitive algorithm, obuda university budapest, Particle Swarm Optimization², Particle Swarm Optimization (PSO), performance analysis, potato sugar beet, prediction, prediction model², regia technical faculty obuda², SARS-CoV-2, Schematic representation, Smart Cities, Soft computing technique, swarm size, target value, technical faculty obuda university², thermal comfort, urban sustainability, wheat barley potato.