Amin Ramezani

Learning spatiotemporal features from incomplete data for traffic flow prediction using hybrid deep neural networks

Mehdi Mehdipour-Ghazi, Amin Ramezani, M. Siahi, 2022, ArXiv.

Ethanol gas sensing improvement at high humidity levels and optical features using Ba-doped ZnO NPs

Amin Ramezani, Hamid Toranjizadeh, Pejman Shabani, 2019, Materials Research Express.

Enhancement of ethanol gas sensing mechanism at high humidity levels and optical features using Sr-doped ZnO NPs

Amin Ramezani, Hamid Toranjizadeh, Pejman Shabani, 2019, Journal of Materials Science: Materials in Electronics.

Earthquake Magnitude Prediction using Spatia-temporal Features Learning Based on Hybrid CNN- BiLSTM Model

M. Kavianpour, Amin Ramezani, E. Jahani, 2021, 2021 7th International Conference on Signal Processing and Intelligent Systems (ICSPIS).

A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions

Mohammad T. H. Beheshti, M. Kavianpour, Amin Ramezani, 2022, Measurement.

An Intelligent Gearbox Fault Diagnosis under Different Operating Conditions using Adversarial Domain Adaptation

Mohammad T. H. Beheshti, M. Kavianpour, Mohammadreza Ghorvei, 2022, 2022 8th International Conference on Control, Instrumentation and Automation (ICCIA).

Physics-Informed Deep Learning and Partial Transfer Learning for Bearing Fault Diagnosis in the Presence of Highly Missing Data

Amin Ramezani, Parisa Kavianpour, Mohammadreza Kavianpour, 2024, 2406.11023.