Leveraging small-scale datasets for additive manufacturing process modeling and part certification: Current practice and remaining gaps
Additive manufacturing (AM) provides a data-rich environment for collecting a variety of
process data. These crucial data can be used to develop effective machine learning (ML) …
process data. These crucial data can be used to develop effective machine learning (ML) …
Groundwater pollution risk, health effects and sustainable management of halocarbons in typical industrial parks
X Yang, J Du, C Jia, T Yang, S Shao - Environmental Research, 2024 - Elsevier
As important chemical raw materials and organic solvents, halogenated hydrocarbons not
only play an important role in economic development, but are also the main source of …
only play an important role in economic development, but are also the main source of …
Enhancing Detection of Malicious Traffic through FPGA-based Frequency Transformation and Machine Learning
Z Hu, H Hasegawa, Y Yamaguchi, H Shimada - IEEE Access, 2023 - ieeexplore.ieee.org
In recent years, with the development of modern network, in order to avoid threats caused by
cyber attacks, it is important to understand how to implement effective security measures …
cyber attacks, it is important to understand how to implement effective security measures …