Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Johannes Himmelbauer"'
Autor:
Michal Bechný, Johannes Himmelbauer
Publikováno v:
Procedia Computer Science. 200:257-266
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c78b4a58f3946c5e2f532acedd994fc
https://doi.org/10.1016/j.procs.2022.01.224
https://doi.org/10.1016/j.procs.2022.01.224
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 238:104840
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7af1fb8551496113221ffcf2c92f8ab
https://doi.org/10.1016/j.chemolab.2023.104840
https://doi.org/10.1016/j.chemolab.2023.104840
Autor:
Aleksei Karetnikov, Tobias Rehberger, Christian Lettner, Johannes Himmelbauer, Ramin Nikzad-Langerodi, Günter Gsellmann, Susanne Nestelberger, Stefan Schützeneder
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031143427
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f114886a8e8b865f426d8f0dacf9e8db
https://doi.org/10.1007/978-3-031-14343-4_39
https://doi.org/10.1007/978-3-031-14343-4_39
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031143427
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dda9e68e96cd5c63396e894557621f5a
https://doi.org/10.1007/978-3-031-14343-4_8
https://doi.org/10.1007/978-3-031-14343-4_8
Autor:
Christian Hinterreiter, Michael Rosbory, Christian Hinterdorfer, Jorge Martinez-Gil, Bernhard Heinzl, Johannes Himmelbauer
Publikováno v:
INDIN
This study presents our most recent advances in the design of a data-driven method for mass flow rate estimation of conveyor belts. Our proposal is focused on obtaining an indirect method that uses power measurement from the conveyor belt. The aim is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2578ca9b83f054254261c7380bdf369e
https://doi.org/10.1109/indin45523.2021.9557482
https://doi.org/10.1109/indin45523.2021.9557482
Detecting Anomalies in Production Quality Data Using a Method Based on the Chi-Square Test Statistic
Autor:
Johannes Himmelbauer, Michael Mayr
Publikováno v:
Big Data Analytics and Knowledge Discovery ISBN: 9783030590642
DaWaK
DaWaK
This paper describes the capability of the Chi-Square test statistic at detecting outliers in production-quality data. The goal is automated detection and evaluation of statistical anomalies for a large number of time series in the production-quality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c042a612395e43520c052912157042e
https://doi.org/10.1007/978-3-030-59065-9_27
https://doi.org/10.1007/978-3-030-59065-9_27
Publikováno v:
Electronic Government and the Information Systems Perspective ISBN: 9783030275228
EGOVIS
EGOVIS
The Social Insurance industry can be considered as a basic pillar of the welfare state in many countries around the world. However, there is not much public research work on how to prevent social fraud. And the few published works are oriented toward
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba96f62d269f29c1dc4bd1dd7e020828
https://doi.org/10.1007/978-3-030-27523-5_6
https://doi.org/10.1007/978-3-030-27523-5_6
Autor:
Johannes Himmelbauer, Mario Drobics
Publikováno v:
Soft Computing. 11:421-438
In this paper we will present a novel approach to data-driven fuzzy modeling which aims to create highly accurate but also easily comprehensible models. This is achieved by a three-stage approach which separates the definition of the underlying fuzzy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd29e66b9ffb07d1022927013963ab86
https://doi.org/10.1007/s00500-006-0107-1
https://doi.org/10.1007/s00500-006-0107-1
The information about which modules of a future version of a software system will be defect-prone is a valuable planning aid for quality managers and testers. Defect prediction promises to indicate these defect-prone modules. In this chapter, buildin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecaf8c3f803b0e5c4c9d9cacd6ef5ab4
https://doi.org/10.4018/978-1-4666-6026-7.ch024
https://doi.org/10.4018/978-1-4666-6026-7.ch024
Autor:
Johannes Himmelbauer, Rudolf Ramler
Publikováno v:
IWSM/Mensura
The potential benefits of defect prediction have created widespread interest in research and generated a considerable number of empirical studies. Applications with real-world data revealed a central problem: Real-world data is "dirty" and often of p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c0fb68b784ebf0923ef5ec4cf91cb78
https://doi.org/10.1109/iwsm-mensura.2013.33
https://doi.org/10.1109/iwsm-mensura.2013.33