IOP Conference Series: Materials Science and Engineering
Công bố khoa học tiêu biểu
* Dữ liệu chỉ mang tính chất tham khảo
Sắp xếp:
Application of Box–Behnken design with Response Surface Methodology for Modeling and Optimizing Microwave-assisted Hydro-distillation of Essential Oil from Citrus reticulata Blanco Peel
IOP Conference Series: Materials Science and Engineering -
Phytochemical screening and antioxidant potential of crude drug “Cao Khai” in Ninh Thuan Province, Vietnam
IOP Conference Series: Materials Science and Engineering - Tập 991 Số 1 - Trang 012016
Synthesis of the BIVO4 nanoparticle as an efficient photocatalyst to activate hydrogen peroxide for the degradation of methylene blue under visible light irradiation
IOP Conference Series: Materials Science and Engineering - Tập 479 Số 1 - Trang 012036
Synthesis and magnetic properties of graphene oxide-decorated cobalt, manganese and nickel ferrite nanoparticles prepared by polymerized route
IOP Conference Series: Materials Science and Engineering - Tập 479 Số 1 - Trang 012114
Volatile composition of Perilla frutescens (L.) essential oil in Thai Binh Province, Vietnam extracted by microwave-assisted distillation method
IOP Conference Series: Materials Science and Engineering - Tập 1092 Số 1 - Trang 012093
Protected Vacuum Annealing Effect on Single Crystals of Pr1-xLaCexCuO4 in the Overdoped Regime
IOP Conference Series: Materials Science and Engineering -
Assessment of preliminary phytochemical screening, polyphenol content, flavonoid content, and antioxidant activity of custard apple leaves (Annona squamosa Linn.)
IOP Conference Series: Materials Science and Engineering - Tập 736 Số 6 - Trang 062012
Screening of extraction conditions by Plackett–Burman design for extraction of Cordyceps militaris Cordycipitaceae
IOP Conference Series: Materials Science and Engineering - Tập 991 Số 1 - Trang 012017
Process data based estimation of tool wear on punching machines using TCN-Autoencoder from raw time-series informationAbstract
Tracking the wear states of tools on punching machines is necessary to reduce scrap rates. In this paper, we propose a method to estimate wear state of punches using Temporal Convolutional Network Autoencoder (TCN-Autoencoder), one of the deep learning techniques for learning time-series information with convolutional architecture. Approach ... ... hiện toàn bộ
IOP Conference Series: Materials Science and Engineering - Tập 1157 Số 1 - Trang 012078 - 2021
Autoencoder based Wear Assessment in Sheet Metal FormingAbstract
The amount of information contained in process signals such as acoustic emission and force signals has proven vital for the detection of changes in physical conditions or quality feature prediction in sheet metal forming applications. Both signal types have also been researched in the context of wear detection, yet systems that reliably iden... ... hiện toàn bộ
IOP Conference Series: Materials Science and Engineering - Tập 1157 Số 1 - Trang 012082 - 2021
Tổng số: 71
- 1
- 2
- 3
- 4
- 5
- 6
- 8