[HTML][HTML] Prediction of Mechanical Properties of 3D Printed Particle-Reinforced Resin Composites

K Rooney, Y Dong, AK Basak, A Pramanik - Journal of Composites …, 2024 - mdpi.com
This review explores fundamental analytical modelling approaches using conventional
composite theory and artificial intelligence (AI) to predict mechanical properties of 3D printed …

In response to Grivas et al

I van den Berg, MHF Savenije, FR Teunissen… - Physics and Imaging …, 2023 - phiro.science
]. We are thankful for recognizing the potential of our artificial intelligence model beyond MR-
guided radiotherapy (MRgRT). In line with our article, we contend that automated contouring …

Integrating Instructional Design for Artificial Intelligence Based Learning: A Literature Review

MH Azhar¹, B Wibawa, E Siregar - 7th International Conference …, 2024 - books.google.com
Artificial Intelligence has now become a media that is consumed mas-sively in several
sectors. The process efficiency features offered are one of the main factors provided by …

[HTML][HTML] A Review of Wind Turbine Icing Prediction Technology

L Zhang, Y Xu, Y Zhao - Wind Turbine Icing-Recent Advances in …, 2023 - intechopen.com
The global wind energy business has grown considerably in recent years. Wind energy has
a bright future as a major component of the renewable energy sector. However, one of the …

Wind Turbine Icing: Recent Advances in Icing Characteristics and Protection Technology

Y Li - 2023 - books.google.com
This book includes six chapters on wind turbine icing. For wind turbines operating in cold
regions, icing often occurs on blade surfaces in winter. This ice accretion can change the …

Using transfer learning and loss function adaptation for RNA secondary structure prediction

G Faldani - thesis.unipd.it
The problem of predicting RNA secondary structure is a challenging topic, which involves
various fields of computer science. Accurate solutions to this problem are helpful in the …