122 citations · 200 across the 8 of their papers we have counts for
8 papers
Systematic review of deep learning and machine learning for building energy
Ardabili Sina, Leila Abdolalizadeh, Csaba Mako +2
The building energy (BE) management has an essential role in urban sustainability and smart cities. Recently, the novel data science and data-driven technologies have shown signifi…
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 +2
In this research, dew point temperature (DPT) is simulated using the data-driven approach. Adaptive Neuro-Fuzzy Inference System (ANFIS) is utilized as a data-driven technique to f…
Prediction of Food Production Using Machine Learning Algorithms of Multilayer Perceptron and ANFIS
Saeed Nosratabadi, Sina Ardabili, Zoltan Lakner +2
Advancing models for accurate estimation of food production is essential for policymaking and managing national plans of action for food security. This research proposes two machin…
Modelling Temperature Variation of Mushroom Growing Hall Using Artificial Neural Networks
Sina Ardabili, Amir Mosavi, Asghar Mahmoudi +3
The recent developments of computer and electronic systems have made the use of intelligent systems for the automation of agricultural industries. In this study, the temperature va…
State of the Art Survey of Deep Learning and Machine Learning Models for Smart Cities and Urban Sustainability
Saeed Nosratabadi, Amir Mosavi, Ramin Keivani +2
Deep learning (DL) and machine learning (ML) methods have recently contributed to the advancement of models in the various aspects of prediction, planning, and uncertainty analysis…
Hybrid Machine Learning Models for Crop Yield Prediction
Saeed Nosratabadi, Felde Imre, Karoly Szell +3
Prediction of crop yield is essential for food security policymaking, planning, and trade. The objective of the current study is to propose novel crop yield prediction models based…
Comparative Analysis of Single and Hybrid Neuro-Fuzzy-Based Models for an Industrial Heating Ventilation and Air Conditioning Control System
Sina Ardabili, Bertalan Beszedes, Laszlo Nadai +3
Hybridization of machine learning methods with soft computing techniques is an essential approach to improve the performance of the prediction models. Hybrid machine learning model…
Performance Analysis of Combine Harvester using Hybrid Model of Artificial Neural Networks Particle Swarm Optimization
Laszlo Nadai, Felde Imre, Sina Ardabili +3
Novel applications of artificial intelligence for tuning the parameters of industrial machines for optimal performance are emerging at a fast pace. Tuning the combine harvesters an…