z-logo
open-access-imgOpen Access
Scalable time-series feature engineering framework to understand multiphase flow using acoustic signals
Author(s) -
Maruti Kumar Mudunuru,
Vamshi Krishna Chillara,
Satish Karra,
Dipen N. Sinha
Publication year - 2017
Publication title -
proceedings of meetings on acoustics
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.15
H-Index - 16
ISSN - 1939-800X
DOI - 10.1121/2.0000749
Subject(s) - computer science , workflow , scalability , feature selection , feature engineering , time series , machine learning , data mining , feature (linguistics) , artificial intelligence , construct (python library) , obstacle , database , deep learning , linguistics , philosophy , political science , law , programming language

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom