Data-Driven, Short-Term Prediction of Charging Station Occupation

Autor: Roya Aghsaee, Christopher Hecht, Felix Schwinger, Jan Figgener, Matthias Jarke, Dirk Uwe Sauer

Publikováno v: Electricity, Vol 4, Iss 2, Pp 134-153 (2023)

Enhancing electric vehicle infrastructure by forecasting the availability of charging stations can boost the attractiveness of electric vehicles. The transportation sector plays a crucial role in battling climate change. The majority of available pre

Externí odkaz: https://doaj.org/article/04e5149406294f248c0f18e9f7dac890

BLOOM: BLoom filter based oblivious outsourced matchings

Autor: Jan Henrik Ziegeldorf, Jan Pennekamp, David Hellmanns, Felix Schwinger, Ike Kunze, Martin Henze, Jens Hiller, Roman Matzutt, Klaus Wehrle

Publikováno v: BMC Medical Genomics, Vol 10, Iss S2, Pp 29-42 (2017)

Abstract Background Whole genome sequencing has become fast, accurate, and cheap, paving the way towards the large-scale collection and processing of human genome data. Unfortunately, this dawning genome era does not only promise tremendous advances

Externí odkaz: https://doaj.org/article/219a9b77e0ed43f7ba9f98da28023541

Combining Profile Similarity and Kalman Filter for Real-World Applicable Short-Term Bus Travel Time Prediction

Autor: Clemens Frohnhofen, Stefan Braun, Felix Schwinger, Matthias Jarke, Jonas Wernz

Publikováno v: ITSC

The emergence of intelligent transportation systems and the availability of detailed past trips and real-time data enabled more accurate travel time prediction algorithms. Passengers of public transportation highly value reliable service and accurate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d7da9385249ac949b87c33cccd06447b
https://doi.org/10.1109/itsc48978.2021.9564421

On the Integration of Shared Autonomous Mobility on Demand in Mobility Service Platforms

Autor: Simon Himmel, Ralf Philipsen, Martina Ziefle, Felix Schwinger, Matthias Jarke

Publikováno v: WEBIST
[Setúbal] : SCITEPRESS-Science and Technology Publications, Lda. 332-333 (2021). doi:10.5220/0010675000003058
WEBIST 2021 : proceedings of the 17th International Conference on Web Information Systems and Technologies : online streaming, October 26-28, 2021 / sponsored by: INSTICC-Institute for Systems and Technologies of Information, Control and Communication ; edited by Francisco Domínguez Mayo, Massimo Marchiori and Joaquim Filipe.-Volume 1
WEBIST 2021 : proceedings of the 17th International Conference on Web Information Systems and Technologies : online streaming, October 26-28, 2021 / sponsored by: INSTICC-Institute for Systems and Technologies of Information, Control and Communication ; edited by Francisco Domínguez Mayo, Massimo Marchiori and Joaquim Filipe.-Volume 117. International Conference on Web Information Systems and Technologies, online, 2021-10-26-2021-10-28

WEBIST 2021 : proceedings of the 17th International Conference on Web Information Systems and Technologies : online streaming, October 26-28, 2021 / sponsored by: INSTICC - Institute for Systems and Technologies of Information, Control and Communicat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5acf60c5de5c2357e362652f215a314
https://doi.org/10.5220/0010675000003058

Towards a Context-Sensitive User Interaction Framework for Information Systems

Autor: Felix Schwinger, Karl-Heinz Krempels, Stephan Kölker

Publikováno v: Lecture Notes in Business Information Processing ISBN: 9783030617493
WEBIST (Revised Selected Papers)

With the rise of mobile devices, users operate applications in a large variety of contexts. In each of these contexts, a user may have different requirements and preferences regarding an application’s user interface. The context describes the curre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3c59f1a5a753d2cf422a69e664d565cd
https://doi.org/10.1007/978-3-030-61750-9_9