CORE
CO
nnecting
RE
positories
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Research partnership
About
About
About us
Our mission
Team
Blog
FAQs
Contact us
Community governance
Governance
Advisory Board
Board of supporters
Research network
Innovations
Our research
Labs
Filters
1 research outputs found
A supervised committee machine artificial intelligent for improving DRASTIC method to assess groundwater contamination risk: a case study from Tabriz plain aquifer, Iran
Author
A Afshar
A Neshat
+65 more
A Rahman
AA Moghaddam
Asghar Asghari Moghaddam
B Dixon
B Dixon
B Dixon
BM Evans
BR Scanlon
CDA McLay
CH Chen
CJ Willmott
CW Dawson
DE Rumelhart
DW Opitz
E Fijani
EH Mamdani
EH Mamdani
F Rezaei
FAL Pacheco
FAL Pacheco
FJ Chang
G Chae
H Aksoy
H Baalousha
H Huan
Hamed Baghban
I Pulido-Calvo
IR Lake
IS Babiker
J Ghiasi-Freez
J Vrba
K Mohammadi
KP Singh
L Aller
L Emberger
LA Zadeh
LF Sanches Fernandes
M Firat
M Gocic
M Sugeno
M Zounemat-Kermani
MA Muheeb
MG Rupert
N Kazakis
NM Gazzaz
R Barzegar
R Umar
RA Jacobs
Rahim Barzegar
RC Gogu
RCM Nobre
RF Valle Junior
RV Demico
RW Healy
S Chiu
S Palani
S Saidi
S Secunda
SA Jafari
SZ Ghavidel
TG Fritch
UG Bacanli
V Nourani
WHO (World Health Organization)
YJ Kim
Publication venue
'Springer Science and Business Media LLC'
Publication date
Field of study
No full text
Crossref
No full text
