Deep Learning Model for Cosmetic Gel Classification Based on a Short-Time Fourier Transform and Spectrogram-Reference-Cited by-同舟云学术

Deep Learning Model for Cosmetic Gel Classification Based on a Short-Time Fourier Transform and Spectrogram

Published:2024-05-13 Issue:20 Volume:16 Page:25825-25835
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Sim Jae Ho¹²^ORCID,Yoo Jengsu¹^ORCID,Lee Myung Lae¹,Han Sang Heon³,Han Seok Kil³,Lee Jeong Yu⁴,Yi Sung Won⁴,Nam Jin⁴,Kim Dong Soo²,Yang Yong Suk¹

Affiliation:

1. Materials and Components Research Division, Superintelligence Creative research Laboratory, Electronics and Telecommunications Research Institute (ETRI), Daejeon 34129, Republic of Korea

2. Department of Creative Convergence Engineering, Hanbat National University, Daejeon 34158, Republic of Korea

3. Tera Leader, Daejeon 34013, Republic of Korea

4. Basic Research & Innovation Division, R&I Center, AmorePacific Corporation, Yongin-si, Gyeonggi-do 17074, Republic of Korea

Funder

Ministry of Science and ICT, South Korea

National Research Foundation of Korea

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.4c03675

Reference55 articles.

1. Evolution of Cosmetics: Increased Need for Experimental Clinical Medicine

2. Creams: A Review on Classification, Preparation Methods, Evaluation and its Applications

3. The science behind skin care: Moisturizers

4. Tribological method to objectify similarity of vague tactile sensations experienced during application of liquid cosmetic foundations

5. Recent developments in the sensorial assessment of cosmetic products: a review

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