Ghent University Academic Bibliography

Your filters: cql: author="Heylen, Rob" or (type any "bookEditor issueEditor" and editor="Heylen, Rob")

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- Journal Article
- A1
- open access
Towards material and process agnostic features for the classification of pore types in metal additive manufacturing

Mathieu Vandecasteele (UGent) , Rob Heylen, Domenico Iuso, Aditi Thanki, Wilfried Philips (UGent) , Ann Witvrouw, Dries Verhees and Brian Booth (UGent)

(2023) MATERIALS & DESIGN. 227.
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- A1
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Off-axis high-speed camera-based real-time monitoring and simulation study for laser powder bed fusion of 316L stainless steel

Aditi Thanki, Carlos Josué Jordán Martínez, Brian Booth (UGent) , Dries Verhees, Rob Heylen, Mariam Mir, Abdellatif Bey-Temsamani, Wilfried Philips (UGent) , Ann Witvrouw and Han Haitjema

(2023) INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY. 125. p.4909-4924
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- Journal Article
- A1
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Encoding Stability into Laser Powder Bed Fusion Monitoring Using Temporal Features and Pore Density Modelling

Brian Booth (UGent) , Rob Heylen, Mohsen Nourazar (UGent) , Dries Verhees, Wilfried Philips (UGent) and Abdellatif Bey-Temsamani

(2022) SENSORS. 22(10).
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MRF-based decision fusion for hyperspectral image classification

Vera Andrejchenko, Rob Heylen, Wenzhi Liao (UGent) , Wilfried Philips (UGent) and Paul Scheunders

(2018) IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM. p.8066-8069
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- Miscellaneous
Classification of hyperspectral images with very small training size using sparse unmixing

Vera Andrejchenko, Rob Heylen, Paul Scheunders, Wilfried Philips (UGent) and Wenzhi Liao (UGent)

(2016) 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Academic Bibliography

Towards material and process agnostic features for the classification of pore types in metal additive manufacturing

Off-axis high-speed camera-based real-time monitoring and simulation study for laser powder bed fusion of 316L stainless steel

Encoding Stability into Laser Powder Bed Fusion Monitoring Using Temporal Features and Pore Density Modelling

MRF-based decision fusion for hyperspectral image classification

Classification of hyperspectral images with very small training size using sparse unmixing

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