Alle Publikationen in der School of Engineering
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Landry, Chantal; Welz, Wolfgang; Gerdts, Matthias,
2016.
Combining discrete and continuous optimization to solve kinodynamic motion planning problems.
Optimization and Engineering.
17(3), S. 533-556.
Verfügbar unter: https://doi.org/10.1007/s11081-015-9291-0
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Altazin, Stéphane; Züfle, Simon; Knapp, Evelyne; Kirsch, Christoph; Schmidt, Tobias D.; Jäger, Lars; Brütting, Wolfgang; Ruhstaller, Beat,
2016.
Combining simulators and experiments to study the impact of polar OLED materials [Paper].
In:
SID Symposium Digest of Technical Papers.
SID International Symposium, San Francisco, USA, 22-27 May 2016.
Wiley.
S. 1750-1753.
Verfügbar unter: https://doi.org/10.1002/sdtp.11059
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Gugg, Mathias; Brütsch, Manuel; Brülisauer, Cornel; Meli, Marcel,
2016.
Comparing the energy requirements of current bluetooth smart solutions (February 2016) [Paper].
In:
Embedded World Conference, Nuremberg, Germany, 23-25 February 2016.
WEKA Fachmedien.
Verfügbar unter: https://doi.org/10.21256/zhaw-1999
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Fačevicová, Kamila; Hron, Karel; Todorov, Valentin; Templ, Matthias,
2016.
Compositional Tables Analysis in Coordinates.
Scandinavian Journal of Statistics.
S. 962-977.
Verfügbar unter: https://doi.org/10.1111/sjos.12223
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Seifert, Alexander; Darvishy, Alireza; Roth, Stephan,
2016.
Conception de sites web adaptée à l’âge.
Angewandte GERONTOLOGIE Appliquée.
2016(1), S. e1-e3.
Verfügbar unter: https://doi.org/10.1024/2297-5160/a000012
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2016.
Das Vorurteil «a fool with a tool is still a fool» gilt nicht mehr!.
Netzwoche.
2016(16), S. 45.
Verfügbar unter: https://doi.org/10.21256/zhaw-4147
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Stockinger, Kurt; Stadelmann, Thilo; Ruckstuhl, Andreas,
2016.
.
In:
Fasel, Daniel; Andreas, Meier, Hrsg.,
Big Data.
Wiesbaden:
Springer.
S. 59-81.
Edition HMD.
Verfügbar unter: https://doi.org/10.1007/978-3-658-11589-0_4
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Templ, Matthias,
2016.
In:
eRum 2016, European R Users Meeting, Poznan, Poland, 12-14 October 2016.
Verfügbar unter: http://erum.ue.poznan.pl/
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Furrer, Lukas; Küng, Roland,
2016.
Datenlogger für die Kühlkette : Energy-Harvesting zum Aufladen des Akkus in einem RFID-Sensor-Label.
Elektronik Industrie.
2016(4), S. 18-21.
Verfügbar unter: https://www.all-electronics.de/energy-harvesting-zum-aufladen-des-akkus-in-einem-rfid-sensor-label/
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Kubli, Merla; Ulli-Beer, Silvia,
2016.
Decentralisation dynamics in energy systems : a generic simulation of network effects.
Energy Research & Social Science.
13, S. 71-83.
Verfügbar unter: https://doi.org/10.1016/j.erss.2015.12.015
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Heitz, Christoph; Goren, Lilach; Sigrist, Jörg,
2016.
In:
Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015).
WCEAM 2015, Tampere, Finland, 28-30 September 2015.
Cham:
Springer.
S. 259-268.
Lecture Notes in Mechanical Engineering.
Verfügbar unter: https://doi.org/10.1007/978-3-319-27064-7_25
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Hu, Yang; Palmé, Thomas; Fink, Olga,
2016.
Deep health indicator extraction : a method based on auto-encoders and extreme learning machines [Paper].
In:
PHM 2016 : Proceedings of the Annual Conference of the Prognostics and Health Management Society 2016.
PHM 2016, Denver, USA , 3-6 October 2016.
PMH Society.
S. 446-452.
Verfügbar unter: https://doi.org/10.21256/zhaw-2756
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2016.
Deep learning for infinite applications in text analytics.
swiTT Report.
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2016.
Demand-driven rostering at Swissport International.
In:
The 29th Conference of the European Chapter on Combinatorial Optimization (ECCO XXIX), Budapest, Hungary, 2016.
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Heinlein, Bernd; Ackermann, Philipp,
2016.
Der virtuelle Körper als 3-D-Simulationsmodell.
IT for Health.
2016(1), S. 44-45.
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Altenburger, Ruprecht; Scherly, Daniel; Stadler, Konrad S.,
2016.
Design of a passive, iso-elastic upper limb exoskeleton for gravity compensation.
ROBOMECH Journal.
3(12).
Verfügbar unter: https://doi.org/10.1186/s40648-016-0051-5
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Tellenbach, Bernhard; Paganoni, Sergio; Rennhard, Marc,
2016.
Detecting obfuscated JavaScripts from known and unknown obfuscators using machine learning.
International Journal on Advances in Security.
9(3/4), S. 196-206.
Verfügbar unter: https://doi.org/10.21256/zhaw-1537
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Aebersold, Simon; Kryszczuk, Krzysztof; Paganoni, Sergio; Tellenbach, Bernhard; Trowbridge, Timothy,
2016.
Detecting obfuscated JavaScripts using machine learning [Paper].
In:
ICIMP 2016 the Eleventh International Conference on Internet Monitoring and Protection : May 22-26, 2016, Valencia, Spain.
ICIMP 2016 the Eleventh International Conference on Internet Monitoring and Protection, Valencia, Spain, 22-26 May 2016.
Red Hook:
Curran Associates.
S. 11-17.
Verfügbar unter: https://doi.org/10.21256/zhaw-3848
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2016.
Developed numerical approach of the melt-crystals phase-changing kinetics in solidification process.
In:
11th International Conference of Multiphysics, Winterthur, 8-9 December 2016.
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Delmelle, Renaud; Duarte, Renata Bessa; Franken, Tanja; Burnat, Dariusz Artur; Holzer, Lorenz; Borgschulte, Andreas; Heel, Andre,
2016.
Development of improved nickel catalysts for sorption enhanced CO2 methanation.
International Journal of Hydrogen Energy.
41(44), S. 20185-20191.
Verfügbar unter: https://doi.org/10.1016/j.ijhydene.2016.09.045
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2016.
Netzwoche.
2016(19-20), S. 53.
Verfügbar unter: https://doi.org/10.21256/zhaw-4146
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Rammler, Stephan; Sauter-Servaes, Thomas,
2016.
Die Effizienzillusion einer digitalisierten Mobilität.
Oya.
7(37), S. 52-54.
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Carabias-Hütter, Vicente; Eschenauer, Ursula; Kuehn, Tobias; Lobsiger-Kägi, Evelyn; Mildenberger, Thoralf,
2016.
Die Energienachfrage steuern : Handlungsempfehlungen zur Nutzung von Smart-Meter-Daten.
Gaia.
25(3), S. 217-219.
Verfügbar unter: https://doi.org/10.14512/gaia.25.3.20
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Friedl, Herwig; Templ, Matthias,
2016.
Die Theorie lebt in der Praxis : ein Interview mit Ernst Stadlober.
Austrian Journal of Statistics.
45(2), S. 69-80.
Verfügbar unter: https://doi.org/10.17713/ajs.v45i2.303
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Le, Kieu Hiep; Kharaghani, Abdolreza; Kirsch, Christoph; Tsotsas, Evangelos,
2016.
Discrete pore network modeling of superheated steam drying.
Drying Technology.
35(13), S. 1584-1601.
Verfügbar unter: https://doi.org/10.1080/07373937.2016.1264414