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Publikationen von Professorinnen und Professoren der HAW Hamburg

Jahr:  
Alle : 1975, ... , 2000, 2001, 2002, ... , 2020
Autor:  
Alle : A, À, B, C, D, E, F, G, H, I, J, K, L, M, N, O, Ö, P, Q, R, S, T, U, V, W, Y, Z 
Alle : K. Bock, ... , Koletzko, Kolk, Koller, ... , Köster 
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Referenzen

2017

Zeitschriftenbeiträge:

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Günther Gravel und Thies Kahnenbley
Welligkeiten auf Zahnflanken und ihre Ursachen
Antriebstechnik,
20 September 2017

Marker: TI-MP

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Felix Langfeldt, Hannes Kemsies, Wolfgang Gleine und Otto von Estorff
Perforated membrane-type acoustic metamaterials
Physics Letters A, 381(16):1457-1462
25 April 2017

Marker: TI-FF

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Kathrin Kirchner, Felix Reher, Rüdiger Weißbach und Robert Heinrich
Agilität in der Prozessmodellierung - Ein Beitrag zu gutem Requirements Engineering?
Sotwaretechnik-Trends, 37 (2017)(2 (Mai)):6-7
2017
ISSN: 0720-8928
deutsch

Marker: WS-W

Zusammenfassung: Beitrag zum Treffen der Fachgruppe Requirements Engineering der Gesellschafts für Informatik e.V, 25./26.11.2016, Stuttgart

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Dirk Lewandowski, Friederike Kerkmann, S. Rümmele und S. Sünkler
An Empirical Investigation on Search Engine Ad Disclosure
Journal of the American Society for Information Science and Technology, 69 (3), :420-437
2017

Marker: DMI-I

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Anne Wüstner, Luise Richter, Nele Mindermann, Nadja Kartschmit, Anna Barabasch und Christine Färber
Arbeit mit geflüchteten Frauen: Herausforderungen und Bedürfnisse von Hebammen - eine Interviewstudie von Studierenden des Masterstudiengangs Health Sciences
Deutsche Hebammenzeitschrift,
2017

Marker: LS-G

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Walter Leal Filho, Leyre Echevarria Icaza, Alice Neht, Maris Klavins und Edward A. Morgan
Coping with the impacts of urban heat islands. A literature based study on understanding urban heat vulnerability and the need for resilience in cities in a global climate change context
Journal of Cleaner Production,
2017

Marker: LS

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Friederike Kerkmann, S. Sünkler und S. Schultheiß
Die Suche nach dem „Wie…“ – Tutorials als Gegenstand der Suche
Information. Wissenschaft & Praxis, 68 (1), :58-66
2017

Marker: DMI-I

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Thomas Kletschkowski und Kerstin Kracht
From Art to Engineering: A Technical Review on the Problem of Vibrating Canvas. Part I: Excitation and Efforts of Vibration Reduction.
Facta Universitatis, Series: Mechanical Engineering, 15(1):163-182
2017

Marker: TI-FF

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Uta Gaidys, G. Gius, M. Jarchow, G. Koch und H. Zinsmeister
hermA: Automated modelling of hermeneutic processes
Hamburger Journal für Kulturanthropologie , No 7,
2017

Marker: WS-PM

pdf
Bohdan B. Khomtchouk, Edmund Weitz, Peter D. Karp und Claes Wahlestedt
How the strengths of Lisp-family languages facilitate building complex and flexible bioinformatics applications
Briefings in Bioinformatics, 17(6)
2017
ISSN: 1467-5463
Englisch

Marker: DMI-MT

Zusammenfassung: We present a rationale for expanding the presence of the Lisp family of programming languages in bioinformatics and computational biology research. Put simply, Lisp-family languages enable programmers to more quickly write programs that run faster than in other languages. Languages such as Common Lisp, Scheme and Clojure facilitate the creation of powerful and flexible software that is required for complex and rapidly evolving domains like biology. We will point out several important key features that distinguish languages of the Lisp family from other programming languages, and we will explain how these features can aid researchers in becoming more productive and creating better code. We will also show how these features make these languages ideal tools for artificial intelligence and machine learning applications. We will specifically stress the advantages of domain-specific languages (DSLs): languages that are specialized to a particular area, and thus not only facilitate easier research problem formulation, but also aid in the establishment of standards and best programming practices as applied to the specific research field at hand. DSLs are particularly easy to build in Common Lisp, the most comprehensive Lisp dialect, which is commonly referred to as the ‘programmable programming language’. We are convinced that Lisp grants programmers unprecedented power to build increasingly sophisticated artificial intelligence systems that may ultimately transform machine learning and artificial intelligence research in bioinformatics and computational biology.

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Letzte Änderung: 23.01.15

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