eBiltegia - Digital repository of Mondragon Unibertsitatea
The Digital Repository of Mondragon Unibertsitatea provides you with full text access to the documents produced by the university as a result of its academic, research and institutional activity in open access. Its purpose is to increase the visibility of University´s scientific and teaching production, to spread its impact and to assure its preservation, complying with the institution's Open Access policies:
Its objective is to promote open science, increase the visibility and impact of university scientific and academic production, ensure the safe preservation of digital content and facilitate its interoperability through technical standards.You will find doctoral theses, bachelor and master thesis, teaching materials, university publications, working documents, preprints, postprints, articles, conference proceedings, data sets, institutional documents, etc.
Communities in eBiltegia
Select a community to browse its collections.
Recently Added
-
Road traffic forecasting: recent advances and new challenges
(IEEE, 2018-04-20)Due to its paramount relevance in transport planning and logistics, road traffic forecasting has been a subject of active research within the engineering community for more than 40 years. In the beginning most approaches ... -
Lecture notes on Berry phases and topology
(SciPost Foundation, 2022)In these notes, we review the role of Berry phases and topology in noninteracting electron systems. Topics including the adiabatic theorem, parallel transport, and Wannier functions are reviewed, with a focus on the ... -
Evolving Spiking Neural Networks for online learning over drifting data streams
(Elsevier, 2018-06-18)Nowadays huge volumes of data are produced in the form of fast streams, which are further affected by non-stationary phenomena. The resulting lack of stationarity in the distribution of the produced data calls for efficient ... -
On the imputation of missing data for road traffic forecasting: new insights and novel techniques
(Elsevier, 2018-02-20)Vehicle flow forecasting is of crucial importance for the management of road traffic in complex urban networks, as well as a useful input for route planning algorithms. In general traffic predictive models rely on data ...
RSS 1.0
