Author:Sina Ardabili

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Adaptive Neuro-Fuzzy Inference System, agricultural production2, Air conditioning, 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)2, Big Data, Cities of future, combine harvester, comparative analysis, control system, Coronavirus, coronavirus disease, COVID-19, crop yield, Crop yield prediction, Data Science, deep learning, 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 learning6, 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.