Farid, Ali Akhavan
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1

Multi-sectional SVD-based machine learning for imagery sign..:

Banda, Tiyamike ; Jauw, Veronica Lestari ; Li, Chuan..
The International Journal of Advanced Manufacturing Technology.  132 (2024)  7-8 - p. 4017-4034 , 2024
 
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2

A machine learning model for flank wear prediction in face ..:

Banda, Tiyamike ; Liu, Yu-chen ; Farid, Ali Akhavan.
The International Journal of Advanced Manufacturing Technology.  126 (2023)  3-4 - p. 935-945 , 2023
 
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4

Investigation of Tool Wear Mechanisms in Face Milling of In..:

, In: Lecture Notes in Mechanical Engineering; Enabling Industry 4.0 through Advances in Manufacturing and Materials,
 
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5

Evaluation of surface integrity when drilling Inconel 718 t..:

Lotfi, Mohammad ; Farid, Ali Akhavan ; Akbari, Javad..
The International Journal of Advanced Manufacturing Technology.  119 (2022)  7-8 - p. 4237-4248 , 2022
 
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6

Application of machine vision for tool condition monitoring..:

Banda, Tiyamike ; Farid, Ali Akhavan ; Li, Chuan..
The International Journal of Advanced Manufacturing Technology.  121 (2022)  11-12 - p. 7057-7086 , 2022
 
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7

Machine Vision and Convolutional Neural Networks for Tool W..:

, In: Lecture Notes in Electrical Engineering; Recent Trends in Mechatronics Towards Industry 4.0,
 
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8

Comparative Study of Temperature Prediction in the Machinin..:

, In: Lecture Notes in Mechanical Engineering; Recent Trends in Manufacturing and Materials Towards Industry 4.0,
 
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11

Effect of Machining Parameters and Cutting Edge Geometry on..:

Farid, Ali Akhavan ; Sharif, Safian ; Namazi, Hamidreza
SAE International Journal of Materials and Manufacturing.  2 (2009)  1 - p. 564-569 , 2009
 
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13

Quality evaluation of aluminum-AA6061 truncated cone deform..:

Akhavan Farid, Ali ; Shen, Foong Shin ; Rahimian Koloor, Seyed Saeid.
Journal of the Brazilian Society of Mechanical Sciences and Engineering.  44 (2022)  9 - p. , 2022
 
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15

Flank wear prediction using spatial binary properties and a..:

Banda, Tiyamike ; Jauw, Veronica Lestari ; Li, Chuan..
The International Journal of Advanced Manufacturing Technology.  120 (2022)  7-8 - p. 4387-4401 , 2022
 
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