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
Handwritten Text Recognition Using Machine Learning and Dee..:
, In:
2023 Eighth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)
,
MS, Sudarchanan
;
G, Sujan
;
R, Akila Devi
- p. 1-4 , 2023
Link:
https://doi.org/10.1109/ICONSTEM56934.2023.10142716
RT T1
2023 Eighth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)
: T1
Handwritten Text Recognition Using Machine Learning and Deep Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-10142716&Exemplar=1&LAN=DE A1 MS, Sudarchanan A1 G, Sujan A1 R, Akila Devi YR 2023 K1 Deep learning K1 Industries K1 Handwriting recognition K1 Text recognition K1 Neural networks K1 Mathematical models K1 Character recognition K1 Convolutional Neural Network (CNN) K1 Recurrent neural network (RNN) K1 Long short-term memory (LSTM) K1 regional-based convolutional neural network model (RCNN) SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/ICONSTEM56934.2023.10142716 DO https://doi.org/10.1109/ICONSTEM56934.2023.10142716 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)