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ORCIDSina Ardabili
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2020 – today
- 2023
[c7]Sina Ardabili, Amirhosein Mosavi, Imre Felde:
Machine Learning in Heat Transfer: Taxonomy, Review and Evaluation. SACI 2023: 433-442- [c6]Sina Ardabili, Amir Mosavi, Imre Felde:
Deep learning for 5G and 6G. SACI 2023: 711-720 - [c5]Sina Ardabili, Amirhosein Mosavi, Imre Felde:
Machine Learning in Diabetes Modeling. SISY 2023: 487-494 - [c4]Sina Ardabili, Amirhosein Mosavi, Imre Felde:
Advances of Deep learning in Breast Cancer Modeling. SISY 2023: 501-508 - 2022
- [j5]Shahab S. Band, Sina Ardabili
, Mehdi Sookhak, Anthony Theodore Chronopoulos, Said Elnaffar, Massoud Moslehpour, Mako Csaba, Bernat Torok, Hao-Ting Pai, Amir Mosavi:
When Smart Cities Get Smarter via Machine Learning: An In-Depth Literature Review. IEEE Access 10: 60985-61015 (2022) - [j4]Jozsef Pap, Csaba Mako, Miklos Illessy, Zef Dedaj, Sina Ardabili, Bernat Torok, Amir Mosavi:
Correlation Analysis of Factors Affecting Firm Performance and Employees Wellbeing: Application of Advanced Machine Learning Analysis. Algorithms 15(9): 300 (2022) - [i5]Guodao Zhang, Shahab S. Band, Sina Ardabili, Kwok-Wing Chau, Amir Mosavi:
Integration of neural network and fuzzy logic decision making compared with bilayered neural network in the simulation of daily dew point temperature. CoRR abs/2202.12256 (2022) - [i4]Sina Ardabili, Leila Abdolalizadeh, Csaba Mako, Bernat Torok, Mosavi Amir:
Systematic review of deep learning and machine learning for building energy. CoRR abs/2202.12269 (2022) - 2020
- [j3]Sina Ardabili, Amir Mosavi, Pedram Ghamisi, Filip Ferdinand, Annamária R. Várkonyi-Kóczy, Uwe Reuter, Timon Rabczuk, Peter M. Atkinson:
COVID-19 Outbreak Prediction with Machine Learning. Algorithms 13(10): 249 (2020) - [j2]Randall Claywell, László Nádai, Imre Felde, Sina Ardabili, Amirhosein Mosavi:
Adaptive Neuro-Fuzzy Inference System and a Multilayer Perceptron Model Trained with Grey Wolf Optimizer for Predicting Solar Diffuse Fraction. Entropy 22(11): 1192 (2020) - [j1]Fatih Ecer, Sina Ardabili, Shahab S. Band, Amir Mosavi:
Training Multilayer Perceptron with Genetic Algorithms and Particle Swarm Optimization for Modeling Stock Price Index Prediction. Entropy 22(11): 1239 (2020) - [c3]Sina Ardabili, Bertalan Beszedes, László Nádai, Károly Széll, Amir Mosavi, Imre Felde:
Comparative Analysis of Single and Hybrid Neuro-Fuzzy-Based Models for an Industrial Heating Ventilation and Air Conditioning Control System. RIVF 2020: 1-6 - [c2]László Nádai, Imre Felde, Sina Ardabili, Tarahom Mesri Gundoshmian, Gergo Pintér, Amir Mosavi:
Performance Analysis of Combine Harvester using Hybrid Model of Artificial Neural Networks Particle Swarm Optimization. RIVF 2020: 1-6 - [c1]Saeed Nosratabadi, Károly Széll, Bertalan Beszedes, Imre Felde, Sina Ardabili, Amir Mosavi:
Comparative Analysis of ANN-ICA and ANN-GWO for Crop Yield Prediction. RIVF 2020: 1-5 - [i3]László Nádai, Imre Felde, Sina Ardabili, Tarahom Mesri Gundoshmian, Gergo Pintér, Amir Mosavi:
Performance Analysis of Combine Harvester using Hybrid Model of Artificial Neural Networks Particle Swarm Optimization. CoRR abs/2002.11041 (2020) - [i2]Sina Ardabili, Bertalan Beszedes, László Nádai, Károly Széll, Amir Mosavi, Imre Felde:
Comparative Analysis of Single and Hybrid Neuro-Fuzzy-Based Models for an Industrial Heating Ventilation and Air Conditioning Control System. CoRR abs/2002.11042 (2020) - [i1]Saeed Nosratabadi, Imre Felde, Károly Széll, Sina Ardabili, Bertalan Beszedes, Amir Mosavi:
Hybrid Machine Learning Models for Crop Yield Prediction. CoRR abs/2005.04155 (2020)
Coauthor Index
aka: Amir Mosavi
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