Search results for "Data Science"
showing 10 items of 495 documents
Multiobjective optimization and decision making in engineering sciences
2021
AbstractReal-world decision making problems in various fields including engineering sciences are becoming ever more challenging to address. The consideration of various competing criteria related to, for example, business, technical, workforce, safety and environmental aspects increases the complexity of decision making and leads to problems that feature multiple competing criteria. A key challenge in such problems is the identification of the most preferred trade-off solution(s) with respect to the competing criteria. Therefore, the effective combination of data, skills, and advanced engineering and management technologies is becoming a key asset to a company urging the need to rethink how…
2021
Staying at the front line in learning research is challenging because many fields are rapidly developing. One such field is research on the temporal aspects of computer-supported collaborative learning (CSCL). To obtain an overview of these fields, systematic literature reviews can capture patterns of existing research. However, conducting systematic literature reviews is time-consuming and do not reveal future developments in the field. This study proposes a machine learning method based on topic modelling that takes articles from a systematic literature review on the temporal aspects of CSCL (49 original articles published before 2019) as a starting point to describe the most recent deve…
Differences in Technical Development and Playing Space in Three UEFA Champions Leagues
2021
[Abstract] The analysis of football grows exponentially, with many researchers adopting it as an object of study. The thematic range that addresses it, as well as the different methodologies used, are of a very different nature—physical, psychological, technical, tactical—enriching every day the knowledge, and understanding of the game itself. The objective of this study has been to identify the differences between the different styles of play that lead to becoming the champion of the UEFA Champions League in the last 3 years of the pre-COVID stage, by analyzing the spatial performance developed, the association between the players that make up the different lines of the game system and the…
Storytelling and story testing in domestication
2014
The domestication of plants and animals marks one of the most significant transitions in human, and indeed global, history. Traditionally, study of the domestication process was the exclusive domain of archaeologists and agricultural scientists; today it is an increasingly multidisciplinary enterprise that has come to involve the skills of evolutionary biologists and geneticists. Although the application of new information sources and methodologies has dramatically transformed our ability to study and understand domestication, it has also generated increasingly large and complex datasets, the interpretation of which is not straightforward. In particular, challenges of equifinality, evolutio…
Analyzing Large-Scale Crowd Simulations for Building Evacuation
2010
Animated virtual crowds have been used last years for analyzing human factors in scenarios where masses of people gather. A typical example is building evacuation in case of fire. Scalability still remains as an open issue for these multiagent systems applications. In this paper, we use a scalable architecture to simulate a large-scale version of a virtual crowd in a building evacuation. From the social point of view, the results provided by the large-scale version of the crowd add new and crucial information about the agents behavior, emphasizing the need for a small amount of trained leaders in order to save lives. From the system point of view, the results show that the trend of avatars …
Bitcoin in the Scientific Literature – A Bibliometric Study
2019
Abstract Since 2012, there has been growing interest in bitcoin scientific research from different fields, including computer science and engineering, economics, business and finance, law and regulatory. The purpose of this paper is to evaluate bitcoin literature based on the structures and networks of science, as a first step in the research of this new phenomenon. Analysing the growing scientific literature on bitcoin published between 2012 and 2019, we provided useful insights on academic research in this field regarding publication year, type and category, authors, journals and citations. The source of the 887 documents which support the study was Web of Science Core Collection. Using V…
An overview of sport entrepreneurship field: a bibliometric analysis of the articles published in the Web of Science
2019
In the sport entrepreneurship field, bibliometric analysis and maps have not yet been used to analyze the production and to visualize the evolution and trends of this field. However, sport entrepre...
La verificació audiovisual en el procés d’evolució de les redaccions televisives: Al Jazeera i el trànsit del satèl·lit a l’estructura de núvol
2021
With the spread of the digital sphere and the proliferation of images from indirect sources that can be accessed by systems and users, verification routines have become essential to ensure media corporations' credibility. The advances in artificial intelligence which allow automated fact-checking (AFC) initiatives to be created help detect falsehoods, but they do not eliminate the need for human intervention. On the contrary, information professionals are necessary, and their functions increasingly include procedures such as mediating in videos and images. This study analyses the evolution of verification routines in audiovisual journalism and how new techniques have influenced the percepti…
#EEGManyLabs
2021
There is growing awareness across the neuroscience community that the replicability of findings about the relationship between brain activity and cognitive phenomena can be improved by conducting studies with high statistical power that adhere to well-defined and standardised analysis pipelines. Inspired by recent efforts from the psychological sciences, and with the desire to examine some of the foundational findings using electroencephalog-raphy (EEG), we have launched #EEGManyLabs, a large-scale international collaborative replication effort. Since its discovery in the early 20th century, EEG has had a profound in-fluence on our understanding of human cognition, but there is limited evid…