Publikationen von Professorinnen und Professoren der HAW Hamburg

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Jürgen Lorenz, M. Hensel, M. Stuhr, D. Geppert, JF. Kersten und T. Kerner
Relationship between ambient temperature and frequency and severity of cardiovascular emergencies: A prospective observational study based on out-of-hospital care data.
International journal of cardiology 228, :553-557
8 November 2016

Marker: LS

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Ulf Teschke und Willfried Teschke
Theoretische Luftvolumenbestimmung bei der Druckprüfung von Rohrleitungen
gwf-Wasser|Abwasser, Jahrgang 157(11/2016):S. 1017-1026
1 November 2016
ISSN: 0016-3651

Schlüsselwörter: - Druckprüfung mit Wasser - Energiebedarf der Druckprüfung

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Zusammenfassung: Theoretische Grundlagen für schnellere und wirtschaftlichere Druckprüfverfahren durch die Berücksichtigung vorhandner luft

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Ingwer Ebinger
Klimatisierung - Herausforderungen und Lösungen bei Elektrofahrzeugen
mobiles, (39):S. 8 - 12
31 Oktober 2016

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Ulrich Stein
Objektorientierte Programmierung mit MATLAB
Informatik Aktuell,
25 Oktober 2016

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Mike Gerdes und Diego Galar
Fuzzy condition monitoring of recirculation fans and filters
International Journal of System Assurance Engineering and Management, 7(4):469-479
8 Oktober 2016
ISSN: 0975-6809

Schlüsselwörter: Fuzzy decision trees, Post-fuzzyfication, Condition monitoring, Aircraft

Marker: TI-FF

Zusammenfassung: A reliable condition monitoring is needed to be able to predict faults. Pattern recognition technologies are often used for finding patterns in complex systems. Condition monitoring can also benefit from pattern recognition. Many pattern recognition technologies however only output the classification of the data sample but do not output any information about classes that are also very similar to the input vector. This paper presents a concept for pattern recognition that outputs similarity values for decision trees. Experiments confirmed that the method works and showed good classification results. Different fuzzy functions were evaluated to show how the method can be adapted to different problems. The concept can be used on top of any normal decision tree algorithms and is independent of the learning algorithm. The goal is to have the probabilities of a sample belonging to each class. Performed experiments showed that the concept is reliable and it also works with decision tree forests (which is shown during this paper) to increase the classification accuracy. Overall the presented concept has the same classification accuracy than a normal decision tree but it offers the user more information about how certain the classification is.

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Walter Leal Filho, B. R. Regmi und C. Star
An Overview of the Opportunities and Challenges of Promoting Climate Change Adaptation at the Local Level: A Case Study from a Community Adaptation Planning in Nepal
Climatic Change Volume 138, :537–550
Oktober 2016

Marker: LS

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Walter Leal Filho, C. Shiel und A. Paco
Implementing and operationalising integrative approaches to sustainability in higher education: the role of project-oriented learning
Journal of Cleaner Production, Volume 133, :126-135
Oktober 2016

Marker: LS

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Andreas Langer und Johannes Eurich
Social Innovations as Opportunities: How Can Innovations in Social Services Be Stimulated and Managed?
Diaconia, 7(2):174-190
Oktober 2016

Marker: DMI-I

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Ingwer Ebinger
Das natürliche Kältemittel "Luft"
CCI, online Wissensportal
15 September 2016

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Felix Langfeldt, Jim Riecken, Wolfgang Gleine und Otto von Estorff
A membrane-type acoustic metamaterial with adjustable acoustic properties
Journal of Sound and Vibration, 373:1-18
7 Juli 2016

Marker: TI-FF

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