A Shallow Neural Network approach for identifying the leading causes associated to pedestrian deaths in Medellín

Reference : A Shallow Neural Network approach for identifying the leading causes associated to pe...


	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/53929

Title :	A Shallow Neural Network approach for identifying the leading causes associated to pedestrian deaths in Medellín
Language :	English
Author, co-author :	Pineda Jaramillo, Juan Diego [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)]
Publication date :	2020
Journal title :	Journal of Transport Health
Peer reviewed :	Yes
Audience :	International
ISSN :	2214-1405
Permalink :	http://hdl.handle.net/10993/53929
DOI :	10.1016/j.jth.2020.100912
Other URL :	http://doi.org/10.1016/j.jth.2020.100912

File(s) associated to this reference

Fulltext file(s):

	File	Commentary	Version	Size	Access
Limited access	1-s2.0-S221414052030116X-main.pdf		Publisher postprint	2.1 MB	Request a copy

All documents in ORBi^lu are protected by a user license.