Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Ahmad Hadinata Fauzi"'
Publikováno v:
Journal of Telecommunications and Information Technology, Iss 1 (2022)
Defect detection is an important step in industrial production of monocrystalline silicon. Through the study of deep learning, this work proposes a framework for classifying monocrystalline silicon wafer defects using deep transfer learning (DTL). An
Externí odkaz:
https://doaj.org/article/08b3fedcdd9642c48e4a57b338a9998a
Autor:
Ahmad Hadinata Fauzi, Rozilawati Mohd Nor, Saleha Mohamad Saleh, Sahazati Md. Rozali, Ahmad Shukri Zainal, Ahmad Muzaffar Abdul Kadir, Aliza Che Amran
Publikováno v:
International Journal of Integrated Engineering. 11
This paper explained the analysis and findings of using light bulb as a thermal source for an incubator system. The inner dimension of the incubator is 26 cm (W) x 38 cm (L) x 26 cm (H). In the experiment, a temperature sensor that measures the insid