nature machine intelligence

Indexings
Short Name	nat mach intell
Abbreviated Name	nat mach intell
ISSN	2522-5839
Aim and Scope	EN Turkish Spanish Portuguese Arabic Chinese French German Indonesian Russian Thai
URL
Author Instructions

Publications Per Year

Recent Articles (33 total)

2019

Learning with Known Operators reduces Maximum Training Error Bounds.

Maier, Andreas K;Syben, Christopher;Stimpel, Bernhard;Würfl, Tobias;Hoffmann, Mathis;Schebesch, Frank;Fu, Weilin;Mill, Leonid;Kling, Lasse;Christiansen, Silke;

Vol. 1 , No. 8 , pp. 373-380

277 views DOI Abstract

2011

low temperature specifications for asphalt binders: tests and simulation

;Lucas F. A. Lima Babadopulos;Malo La Gern;Emmanuel Chailleux;Sylvia Dreessen

Vol. 19 , No. 2 , pp. 7-15

197 views Abstract

2016

the present work objective is the analysis of the united states air cargo transport during a decade, from the year 2004 to 2014. the network theory is used and indicators such as closeness and betweenness are calculated. the present work compares the networks and the respective metrics of the two main airlines of the industry and the other 18 biggest companies what enables the evaluation of the impact of economic recessions, such as the one from 2008, on these networks and the detection of assymetries between companies of different sizes. it is possible to note that, among other aspects, the air cargo transport graph is heavily influenced by the two main private companies of the sector, fedex and ups, what can be pointed out by, e.g., the number of nodes of 178 and 106 in 2014 respectively for these networks compared to 81 from the other 18 biggest companies.

;Joao Pedro Pinheiro Malere;Vladimir Minas;Giovanna Miceli Ronzani Borille

Vol. 24 , No. 4 , pp. 1-9

188 views DOI Abstract