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Title	A deep-learning approach for transportation network companies trip-demand prediction considering spatial-temporal features /
Format	online resource
Internet Access	https://purl.fdlp.gov/GPO/gpo119768
Author	Hou, Yi, author.
Published	[Golden, Colo.] : National Renewable Energy Laboratory, 2019.

SuDoc Number	E 9.28:NREL/PO-5400-72955
Item Number	0430-P-17 (online)
Description	1 online resource (1 page) : color illustrations.
Content Type	text
Series	(NREL/PO ; 5400-72955.)
General Note	"Transportation Research Board Annual Meeting."
	"TRB paper 19-03468."
	"January 13-17, 2019."
Metadata Source	Description based on online resource, PDF version; title from caption (NREL, viewed April 23, 2019).
Subject - LC	Ridesharing -- United States -- Forecasting.
Added Entry	National Renewable Energy Laboratory (U.S.), issuing body.
URL	Address at time of PURL creation https://www.nrel.gov/docs/fy19osti/72955.pdf

Holdings	All items

OCLC Number	(OCoLC)1100761068
CGP Record Link	https://catalog.gpo.gov:443/F/?func=direct&doc_number=001098749&local_base=GPO01PUB
System Number	001098749