I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Method for intelligently identifying underground safety acc..:
, In:
2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)
,
Yuan, Huimiao
;
Hao, Huijuan
;
Zhang, Yu
.. - p. 367-370 , 2022
Link:
https://doi.org/10.1109/ITOEC53115.2022.9734567
RT T1 <cTitle>2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)</cTitle>: T1 <Title>Method for intelligently identifying underground safety accidents based on fully connected neural network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9734567&Exemplar=1&LAN=DE A1 Yuan, Huimiao A1 Hao, Huijuan A1 Zhang, Yu A1 Zhao, Yuanyuan A1 Chen, Yu YR 2022 SN 2693-289X K1 Temperature K1 Neural networks K1 Production K1 Coal K1 Maintenance engineering K1 Ventilation K1 Coal mining K1 DNN K1 underground safety accident K1 CO K1 intelligent identification K1 sensor alarm SP 367 OP 370 LK http://dx.doi.org/https://doi.org/10.1109/ITOEC53115.2022.9734567 DO https://doi.org/10.1109/ITOEC53115.2022.9734567 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
