A neural network based approach for background noise reduction in airborne acoustic emission of a machining process

Zafar, T., Kamal, K., Sheikh, Z., Mathavan, S. ORCID: 0000-0001-7003-2874, Ali, U. and Hashmi, H., 2017. A neural network based approach for background noise reduction in airborne acoustic emission of a machining process. Journal of Mechanical Science and Technology, 31 (7), pp. 3171-3182. ISSN 1738-494X

Full text not available from this repository.

Item Type:	Journal article
Publication Title:	Journal of Mechanical Science and Technology
Creators:	Zafar, T., Kamal, K., Sheikh, Z., Mathavan, S., Ali, U. and Hashmi, H.
Publisher:	Springer
Date:	2017
Volume:	31
Number:	7
ISSN:	1738-494X
Identifiers:	Number Type 10.1007/s12206-017-0606-2 DOI 606 Publisher Item Identifier
Divisions:	Schools > School of Architecture, Design and the Built Environment
Record created by:	Linda Sullivan
Date Added:	17 Oct 2017 14:49
Last Modified:	17 Oct 2017 14:49
URI:	https://irep.ntu.ac.uk/id/eprint/31827

Actions (login required)

Edit View

Views

Downloads