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
An Investigative Study of Shallow, Deep and Dense Learning ..:
, In:
2022 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI)
,
Murthy, D. Sudarsana
;
Prasad, V. Siva
;
Aman, K.
... - p. 1-6 , 2022
Link:
https://doi.org/10.1109/ICDSAAI55433.2022.10028840
RT T1 <cTitle>2022 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI)</cTitle>: T1 <Title>An Investigative Study of Shallow, Deep and Dense Learning Models for Breast Cancer Detection based on Microcalcifications</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10028840&Exemplar=1&LAN=DE A1 Murthy, D. Sudarsana A1 Prasad, V. Siva A1 Aman, K. A1 Kumar Reddy, Madduru Poojith A1 Madhavi, K.Reddy A1 Sunitha, Gurram YR 2022 K1 Economics K1 Biological system modeling K1 Computational modeling K1 Medical services K1 Learning (artificial intelligence) K1 Sensitivity and specificity K1 Feature extraction K1 Breast cancer K1 Mammography K1 Microcalcifications K1 Shallow K1 deep K1 and dense learning models SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICDSAAI55433.2022.10028840 DO https://doi.org/10.1109/ICDSAAI55433.2022.10028840 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
