Siamak Ghorbani

New neural network-based algorithm for predicting fatigue life of aluminum alloys in terms of machining parameters

Kazem Reza Kashyzadeh, Siamak Ghorbani · Engineering Failure Analysis · 2023 · 40 citations

Fatigue Life, Engineering, Service Life Prediction +10

The effect of composite boring bars on vibration in machining process

Siamak Ghorbani, Antonio Carluccio, P. S. Belov · The International Journal of Advanced Manufacturing Technology · 2019 · 39 citations

Engineering, Material Machining, Tool Wear +8

Prediction of Concrete Compressive Strength Using a Back-Propagation Neural Network Optimized by a Genetic Algorithm and Response Surface Analysis Considering the Appearance of Aggregates and Curing Conditions

Kazem Reza Kashyzadeh, Nima Amiri, Siamak Ghorbani et al. · Buildings · 2022 · 38 citations · Full text

Engineering, Back-propagation Neural Network, Structural Performance +17

Fault detection in the gas turbine of the Kirkuk power plant: An anomaly detection approach using DLSTM-Autoencoder

Al-Tekreeti Watban Khalid Fahmi, Kazem Reza Kashyzadeh, Siamak Ghorbani · Engineering Failure Analysis · 2024 · 35 citations

Fault Diagnosis, Anomaly Detection, Machine Learning +10

Experimental and analytical research on relationship between tool life and vibration in cutting process

Siamak Ghorbani, Vladimir V. Kopilov, N. I. Polushin · Archives of Civil and Mechanical Engineering · 2018 · 32 citations

Engineering, Mechanics, Material Machining +9