Detection of anomalous vehicle trajectories using federated learning

Autor: Christian Koetsier, Jelena Fiosina, Jan N. Gremmel, Jörg P. Müller, David M. Woisetschläger, Monika Sester

Publikováno v: ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 4, Iss , Pp 100013- (2022)

Nowadays mobile positioning devices, such as global navigation satellite systems (GNSS) but also external sensor technology like cameras allow an efficient online collection of trajectories, which reflect the behavior of moving objects, such as cars.

Externí odkaz: https://doaj.org/article/67a1bfbb8af442158ec8a0f31f10b8b4

Polymer Reaction Engineering meets Explainable Machine Learning

Autor: Jelena Fiosina, Philipp Sievers, Marco Drache, Sabine Beuermann

Due to the complicated polymerization technique and statistical composition of the polymer, tailoring its characteristics is a challenging task. Modeling of the polymerizations can contribute to deeper insights into the process. This study applies st

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f868b07c0c2316bb4ca6e71a3d08a9cd
https://doi.org/10.26434/chemrxiv-2023-5vd8h

Federated cooperative detection of anomalous vehicle trajectories at intersections

Autor: Jan N. Gremmel, David M. Woisetschläger, Jörg P. Müller, Monika Sester, Jelena Fiosina, Christian Koetsier

Publikováno v: ARIC@SIGSPATIAL

Nowadays mobile positioning devices, sensor technologies, machine learning methods and cloud computing allow an efficient collection, processing and analysis of dynamic position information (trajectories), which can be used for various applications.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e7b0ceaaa84fdd3c08123a0e7c549e94
https://doi.org/10.1145/3486626.3493439

Deep Learning and Random Forest-Based Augmentation of sRNA Expression Profiles

Autor: Jelena Fiosina, Stefan Bonn, Maksims Fiosins

Publikováno v: Cham : Springer International Publishing, Lecture Notes in Computer Science 11490, 159-170 (2019). doi:10.1007/978-3-030-20242-2_14
Bioinformatics Research and Applications / Cai, Zhipeng (Editor) ; Cham : Springer International Publishing, 2019, Chapter 14 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-030-20241-5=978-3-030-20242-2 ; doi:10.1007/978-3-030-20242-2
Bioinformatics Research and Applications / Cai, Zhipeng (Editor) ; Cham : Springer International Publishing, 2019, Chapter 14 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-030-20241-5=978-3-030-20242-2 ; doi:10.1007/978-3-030-20242-2International Symposium on Bioinformatics Research and Applications
Bioinformatics Research and Applications ISBN: 9783030202415

The lack of well-structured annotations in a growing amount of RNA expression data complicates data interoperability and reusability. Commonly - used text mining methods extract annotations from existing unstructured data descriptions and often provi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a268ea6937eb7be29282f2b0f172d218

Statistical Estimation for a Reliability Model Based on Shot-Noise Processes in a Case of Small Samples

Autor: Maksims Fiosins, Jelena Fiosina

Publikováno v: Quality Technology & Quantitative Management. 8:451-462

A failure model based on shot-noise processes is considered. A discussed reliability system is subjected to shocks. Shocks of random magnitude occur according to a homogeneous Poisson process and decay with time according to the deterministic functio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c814b03cf056a0119460cae52cb8023a
https://doi.org/10.1080/16843703.2011.11673270