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Guo, Shenghan
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1

An intelligent control method for a flexible-link manipulat..:

Guo, Shenghan ; Cai, Weiguo ; Zhang, Yaning...
Engineering Research Express.  6 (2024)  2 - p. 025524 , 2024
Link: https://doi.org/10.1088/..
 
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2

Personalized feature extraction for manufacturing process s..:

Shi, Naichen ; Guo, Shenghan ; Al Kontar, Raed
Journal of Manufacturing Systems.  74 (2024)  - p. 435-448 , 2024
Link: https://doi.org/10.1016/..
 
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3

Real-time defect detection using online learning for laser ..:

Ouidadi, Hasnaa ; Guo, Shenghan ; Zamiela, Christian.
Journal of Manufacturing Processes.  99 (2023)  - p. 898-910 , 2023
Link: https://doi.org/10.1016/..
 
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4

Applications and prospects of machine learning for aerosol ..:

Guo, Shenghan ; Ko, Hyunwoong ; Wang, Andi
IISE Transactions.  56 (2023)  10 - p. 1038-1057 , 2023
Link: https://doi.org/10.1080/..
 
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5

Knowledge-transfer-enabled porosity prediction for new part..:

Guo, Shenghan ; Zamiela, Christian ; Bian, Linkan
Journal of Manufacturing Processes.  103 (2023)  - p. 64-77 , 2023
Link: https://doi.org/10.1016/..
 
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6

Di-CNN: Domain-Knowledge-Informed Convolutional Neural Netw..:

Guo, Shenghan ; Wang, Dali ; Feng, Zhili..
Sensors.  23 (2023)  11 - p. 5313 , 2023
Link: https://doi.org/10.3390/..
 
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7

Thermal-porosity characterization data of additively manufa..:

Zamiela, Christian ; Tian, Wenmeng ; Guo, Shenghan.
Data in Brief.  51 (2023)  - p. 109722 , 2023
Link: https://doi.org/10.1016/..
 
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8

3D Printable Hydrogel with Tunable Degradability and Mechan..:

Zhu, Yuxiang ; Kwok, Tina ; Haug, Joel C....
Advanced Materials Technologies.  8 (2023)  10 - p. , 2023
Link: https://doi.org/10.1002/..
 
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9

3D Printing‐Enabled Design and Manufacturing Strategies for..:

Fonseca, Nathan ; Thummalapalli, Sri Vaishnavi ; Jambhulkar, Sayli...
Small.  19 (2023)  50 - p. , 2023
Link: https://doi.org/10.1002/..
 
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10

pTS-LSTM: Temperature prediction for fused filament fabrica..:

Guo, Shenghan ; Dai, Rui ; Sun, Haofan.
Journal of Manufacturing Processes.  106 (2023)  - p. 316-327 , 2023
Link: https://doi.org/10.1016/..
 
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11

Machine learning for metal additive manufacturing: Towards ..:

Guo, Shenghan ; Agarwal, Mohit ; Cooper, Clayton...
Journal of Manufacturing Systems.  62 (2022)  - p. 145-163 , 2022
Link: https://doi.org/10.1016/..
 
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12

SERS spectroscopy with machine learning to analyze human pl..:

Huang, Xi ; Liu, Bo ; Guo, Shenghan...
Bioengineering & Translational Medicine.  8 (2022)  2 - p. , 2022
Link: https://doi.org/10.1002/..
 
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13

Comparison of Early Stopping Neural Network and Random Fore..:

Behnke, Matthew ; Guo, Shenghan ; Guo, Weihong "Grace"
Procedia Manufacturing.  53 (2021)  - p. 656-663 , 2021
Link: https://doi.org/10.1016/..
 
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14

Identifying manufacturing operational conditions by physics..:

Guo, Shenghan ; Chen, Mengfei ; Abolhassani, Amir..
Journal of Manufacturing Systems.  60 (2021)  - p. 162-175 , 2021
Link: https://doi.org/10.1016/..
 
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15

A physics-driven deep learning model for process-porosity c..:

Guo, Weihong "Grace" ; Tian, Qi ; Guo, Shenghan.
CIRP Annals.  69 (2020)  1 - p. 205-208 , 2020
Link: https://doi.org/10.1016/..
 
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