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Institution

Mälardalen University College

Education
About: Mälardalen University College is a based out in . It is known for research contribution in the topics: Component (UML) & Software development. The organization has 1666 authors who have published 5803 publications receiving 101264 citations. The organization is also known as: Collège Universitaire de Mälardalen & Malardalen University.


Papers
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Journal ArticleDOI
TL;DR: Different approaches to the determination of upper bounds on execution times are described and several commercially available tools1 and research prototypes are surveyed.
Abstract: The determination of upper bounds on execution times, commonly called worst-case execution times (WCETs), is a necessary step in the development and validation process for hard real-time systems. This problem is hard if the underlying processor architecture has components, such as caches, pipelines, branch prediction, and other speculative components. This article describes different approaches to this problem and surveys several commercially available tools1 and research prototypes.

1,946 citations

Journal ArticleDOI
TL;DR: In this article, air conditioning is essential for maintaining thermal comfort in indoor environments, particularly for hot and humid climates, and it has been shown that air conditioning, comprising cooling and dehumidification, has a significant impact on thermal comfort.

714 citations

Journal ArticleDOI
TL;DR: A broad review on the variety of CAES concepts and compressed air storage (CAS) options is given, evaluating their individual strengths and weaknesses in this article, where the concept of exergy is applied to CAES in order to enhance the fundamental understanding.

641 citations

Journal ArticleDOI
TL;DR: Of the established methods to improve women's birth experience, childbirth education and obstetric analgesia seemed to be less effective, whereas support in labor and listening to the woman's own issues may be underestimated.
Abstract: BACKGROUND: A woman's dissatisfaction with the experience of labor and birth may affect her emotional well-being and willingness to have another baby. The aim of this study was to investigate the p ...

590 citations

Journal ArticleDOI
09 Apr 2010-Science
TL;DR: A computer tournament in which entrants submitted strategies specifying how to use social learning and its asocial alternative (for example, trial-and-error learning) to acquire adaptive behavior in a complex environment found strategies that relied heavily on social learning were found to be remarkably successful, even when asocial information was no more costly than social information.
Abstract: Social learning (learning through observation or interaction with other individuals) is widespread in nature and is central to the remarkable success of humanity, yet it remains unclear why copying is profitable and how to copy most effectively To address these questions, we organized a computer tournament in which entrants submitted strategies specifying how to use social learning and its asocial alternative (for example, trial-and-error learning) to acquire adaptive behavior in a complex environment Most current theory predicts the emergence of mixed strategies that rely on some combination of the two types of learning In the tournament, however, strategies that relied heavily on social learning were found to be remarkably successful, even when asocial information was no more costly than social information Social learning proved advantageous because individuals frequently demonstrated the highest-payoff behavior in their repertoire, inadvertently filtering information for copiers The winning strategy (discountmachine) relied nearly exclusively on social learning and weighted information according to the time since acquisition

572 citations


Authors

Showing all 1677 results

NameH-indexPapersCitations
James Guthrie7544429705
Stefan Karlsson7029219180
Göran E. Nilsson6625215088
Chris Brewster6535613944
Jinyue Yan6348115292
Hailong Li5741912425
Jan Johanson5412338556
Maria Strømme5333310550
Lennart Harnefors5118910847
Jianzhong Wu512788281
Rajneesh Narula4918910639
Paul Pettersson451559807
Jonas Blomberg452387540
Johan Richter442026875
Ulrik Gelius44986623
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
202239
2021409
2020404
2019437
2018434