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Updated: Jan 30, 2026

Hybrid Printing for the Fabrication of Smart Sensors
Published on: January 31, 2019
Rayan M Nouh1, Hyun-Ho Lee2, Won-Jin Lee3
1Department of Computer Science, Dankook University, 152 Jukjeon-ro Campus, Suji-gu, Yongin-si 16890, Gyeonggi-do, Korea. rayannouh@gmail.com.
This study introduces a smart recommender system of hybrid learning (SRHL) to enhance personal well-being services. The SRHL system improves accuracy by 14.61% in health food recommendations, addressing cold start challenges.
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