Sina Ardabili

According to our database, Sina Ardabili authored at least 15 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Advances of Deep learning in Breast Cancer Modeling.

Sina Ardabili, Amirhosein Mosavi, Imre Felde

Proceedings of the 21st IEEE Jubilee International Symposium on Intelligent Systems and Informatics, 2023

Machine Learning in Diabetes Modeling.

Sina Ardabili, Amirhosein Mosavi, Imre Felde

Proceedings of the 21st IEEE Jubilee International Symposium on Intelligent Systems and Informatics, 2023

Deep learning for 5G and 6G.

Sina Ardabili, Amir Mosavi, Imre Felde

Proceedings of the 17th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2023

Machine Learning in Heat Transfer: Taxonomy, Review and Evaluation.

Sina Ardabili, Amirhosein Mosavi, Imre Felde

Proceedings of the 17th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2023

2022

Systematic review of deep learning and machine learning for building energy.

Sina Ardabili, Leila Abdolalizadeh, Csaba Mako, Bernat Torok, Mosavi Amir

CoRR, 2022

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, Amir Mosavi

CoRR, 2022

Correlation Analysis of Factors Affecting Firm Performance and Employees Wellbeing: Application of Advanced Machine Learning Analysis.

Jozsef Pap, Csaba Mako, Miklos Illessy, Zef Dedaj, Sina Ardabili, Bernat Torok, Amir Mosavi

Algorithms, 2022

When Smart Cities Get Smarter via Machine Learning: An In-Depth Literature Review.

Shahab S. Band, Sina Ardabili, Mehdi Sookhak, Anthony Theodore Chronopoulos, Said Elnaffar, Massoud Moslehpour, Mako Csaba, Bernat Torok, Hao-Ting Pai, Amir Mosavi

IEEE Access, 2022

2020

Training Multilayer Perceptron with Genetic Algorithms and Particle Swarm Optimization for Modeling Stock Price Index Prediction.

Fatih Ecer, Sina Ardabili, Shahab S. Band, Amir Mosavi

Entropy, 2020

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, Sina Ardabili, Amirhosein Mosavi

Entropy, 2020

Hybrid Machine Learning Models for Crop Yield Prediction.

Saeed Nosratabadi, Imre Felde, Károly Széll, Sina Ardabili, Bertalan Beszedes, Amir Mosavi

CoRR, 2020

COVID-19 Outbreak Prediction with Machine Learning.

Sina Ardabili, Amir Mosavi, Pedram Ghamisi, Filip Ferdinand, Annamária R. Várkonyi-Kóczy, Uwe Reuter, Timon Rabczuk, Peter M. Atkinson

Algorithms, 2020

Comparative Analysis of ANN-ICA and ANN-GWO for Crop Yield Prediction.

Saeed Nosratabadi, Károly Széll, Bertalan Beszedes, Imre Felde, Sina Ardabili, Amir Mosavi

Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, 2020

Performance Analysis of Combine Harvester using Hybrid Model of Artificial Neural Networks Particle Swarm Optimization.

László Nádai, Imre Felde, Sina Ardabili, Tarahom Mesri Gundoshmian, Gergo Pintér, Amir Mosavi

Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, 2020

Comparative Analysis of Single and Hybrid Neuro-Fuzzy-Based Models for an Industrial Heating Ventilation and Air Conditioning Control System.

Sina Ardabili, Bertalan Beszedes, László Nádai, Károly Széll, Amir Mosavi, Imre Felde

Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, 2020