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This is the official repository of the Task 7.4 of H2020 Locomotion project. Feel free to use our data and comment about our work, referencing the main authors of it. Parrado-Hernando, Gonzalo Department of System Engineering and Automation School of Industrial Engineering, University of Valladolid, Spain e-mail: gonzalo.parrado@uva.es Pfeifer, Antun Department of Energy, Power Engineering and Environment Faculty of Mechanical Engineering and Naval Architecture University of Zagreb, Zagreb, Croatia e-mail: Antun.Pfeifer@fsb.hr Herc, Luka Department of Energy, Power Engineering and Environment Faculty of Mechanical Engineering and Naval Architecture University of Zagreb, Zagreb, Croatia e-mail: luka.herc@frodo.fsb.hr Gjorgievski, Vladimir Faculty of Electrical Engineering and Information Technologies, University Ss Cyril and Methodius, Skopje, North Macedonia e-mail: vladimir.gjorgievski@feit.ukim.edu.mk Batas, Ilija School of Electrical Engineering University of Belgrade, Serbia e-mail: ilija.batas@gmail.com Duić, Neven Department of Energy, Power Engineering and Environment Faculty of Mechanical Engineering and Naval Architecture University of Zagreb, Zagreb, Croatia e-mail: Neven.Duic@fsb.hr Frechoso, Fernando Department of Electrical Engineering School of Industrial Engineering, University of Valladolid, Spain e-mail: frechoso@eii.uva.es Miguel González, Luis Javier Department of System Engineering and Automation School of Industrial Engineering, University of Valladolid, Spain e-mail: ljmiguel@eii.uva.es Capellán-Perez, Iñigo Department of System Engineering and Automation School of Industrial Engineering, University of Valladolid, Spain e-mail: inigo.capellan@uva.es
permutations, IAM, regression
permutations, IAM, regression
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 5 |

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