A Machine Learning Approach to Support Neuromorphic Device Design and Microfabrication

Abdi Yamil Vicenciodelmoral; Md Mehedi Hasan Tanim; Feng Zhao; Xinghui Zhao

doi:10.1109/ICMLA58977.2023.00246

A Machine Learning Approach to Support Neuromorphic Device Design and Microfabrication

Abdi Yamil Vicenciodelmoral
, Md Mehedi Hasan Tanim
, Feng Zhao
, Xinghui Zhao

Washington State University Vancouver

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023
Editors	M. Arif Wani, Mihai Boicu, Moamar Sayed-Mouchaweh, Pedro Henriques Abreu, Joao Gama
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1627-1634
Number of pages	8
ISBN (Electronic)	9798350345346
DOIs	https://doi.org/10.1109/ICMLA58977.2023.00246
State	Published - 2023
Externally published	Yes
Event	22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023 - Jacksonville, United States Duration: Dec 15 2023 → Dec 17 2023

Publication series

Name	Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023

Conference

Conference	22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023
Country/Territory	United States
City	Jacksonville
Period	12/15/23 → 12/17/23

ASJC Scopus Subject Areas

Artificial Intelligence
Computer Science Applications
Computer Vision and Pattern Recognition

Keywords

Big Data
Machine Learning
Microfabrication
Neuromor-phic Computing
Resistive Random Access Memory

Access to Document

10.1109/ICMLA58977.2023.00246

Cite this

Vicenciodelmoral, A. Y., Hasan Tanim, M. M., Zhao, F., & Zhao, X. (2023). A Machine Learning Approach to Support Neuromorphic Device Design and Microfabrication. In M. Arif Wani, M. Boicu, M. Sayed-Mouchaweh, P. H. Abreu, & J. Gama (Eds.), Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023 (pp. 1627-1634). (Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMLA58977.2023.00246

A Machine Learning Approach to Support Neuromorphic Device Design and Microfabrication. / Vicenciodelmoral, Abdi Yamil; Hasan Tanim, Md Mehedi; Zhao, Feng et al.
Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023. ed. / M. Arif Wani; Mihai Boicu; Moamar Sayed-Mouchaweh; Pedro Henriques Abreu; Joao Gama. Institute of Electrical and Electronics Engineers Inc., 2023. p. 1627-1634 (Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Vicenciodelmoral, AY, Hasan Tanim, MM, Zhao, F & Zhao, X 2023, A Machine Learning Approach to Support Neuromorphic Device Design and Microfabrication. in M Arif Wani, M Boicu, M Sayed-Mouchaweh, PH Abreu & J Gama (eds), Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023. Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023, Institute of Electrical and Electronics Engineers Inc., pp. 1627-1634, 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023, Jacksonville, United States, 12/15/23. https://doi.org/10.1109/ICMLA58977.2023.00246

Vicenciodelmoral AY, Hasan Tanim MM, Zhao F, Zhao X. A Machine Learning Approach to Support Neuromorphic Device Design and Microfabrication. In Arif Wani M, Boicu M, Sayed-Mouchaweh M, Abreu PH, Gama J, editors, Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 1627-1634. (Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023). doi: 10.1109/ICMLA58977.2023.00246

Vicenciodelmoral, Abdi Yamil ; Hasan Tanim, Md Mehedi ; Zhao, Feng et al. / A Machine Learning Approach to Support Neuromorphic Device Design and Microfabrication. Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023. editor / M. Arif Wani ; Mihai Boicu ; Moamar Sayed-Mouchaweh ; Pedro Henriques Abreu ; Joao Gama. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 1627-1634 (Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023).

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A Machine Learning Approach to Support Neuromorphic Device Design and Microfabrication

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ASJC Scopus Subject Areas

Keywords

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