Zobrazeno 1 - 10
of 1 292
pro vyhledávání: '"P. Kliem"'
Autor:
Purkhart, Stefan, Veronig, Astrid M., Kliem, Bernhard, Jarolim, Robert, Dissauer, Karin, Dickson, Ewan C. M., Podladchikova, Tatiana, Krucker, Säm
We studied the rapid filament evolution in AR 12975 during a confined C2 flare on 28 March 2022, which led to an eruptive M4 flare 1.5 h later. It is characterized by the breakup of the filament, the disappearance of its southern half, and the flow o
Externí odkaz:
http://arxiv.org/abs/2407.07777
Autor:
Beason, Jordan, Novitzky, Michael, Kliem, John, Errico, Tyler, Serlin, Zachary, Becker, Kevin, Paine, Tyler, Benjamin, Michael, Dasgupta, Prithviraj, Crowley, Peter, O'Donnell, Charles, James, John
The objective of this work is to evaluate multi-agent artificial intelligence methods when deployed on teams of unmanned surface vehicles (USV) in an adversarial environment. Autonomous agents were evaluated in real-world scenarios using the Aquaticu
Externí odkaz:
http://arxiv.org/abs/2404.17038
Autor:
Purkhart, Stefan, Veronig, Astrid M., Dickson, Ewan C. M., Battaglia, Andrea Francesco, Krucker, Säm, Jarolim, Robert, Kliem, Bernhard, Dissauer, Karin, Podladchikova, Tatiana
Publikováno v:
A&A 679, A99 (2023)
We present a case study of an M4-class flare on 28 March 2022, near Solar Orbiter's first science perihelion (0.33 AU). Solar Orbiter was 83.5{\deg} west of the Sun-Earth line, making the event appear near the eastern limb, while Earth-orbiting space
Externí odkaz:
http://arxiv.org/abs/2310.02038
Autor:
Hillebrand, Lars, Berger, Armin, Deußer, Tobias, Dilmaghani, Tim, Khaled, Mohamed, Kliem, Bernd, Loitz, Rüdiger, Pielka, Maren, Leonhard, David, Bauckhage, Christian, Sifa, Rafet
Auditing financial documents is a very tedious and time-consuming process. As of today, it can already be simplified by employing AI-based solutions to recommend relevant text passages from a report for each legal requirement of rigorous accounting s
Externí odkaz:
http://arxiv.org/abs/2308.06111
The violent disruption of the coronal magnetic field is often observed to be restricted to the low corona, appearing as a confined eruption. The possible causes of the confinement remain elusive. Here, we model the eruption of a magnetic flux rope in
Externí odkaz:
http://arxiv.org/abs/2306.04993
Autor:
Hillebrand, Lars, Pielka, Maren, Leonhard, David, Deußer, Tobias, Dilmaghani, Tim, Kliem, Bernd, Loitz, Rüdiger, Morad, Milad, Temath, Christian, Bell, Thiago, Stenzel, Robin, Sifa, Rafet
We present sustainAI, an intelligent, context-aware recommender system that assists auditors and financial investors as well as the general public to efficiently analyze companies' sustainability reports. The tool leverages an end-to-end trainable ar
Externí odkaz:
http://arxiv.org/abs/2305.08711
Autor:
Hillebrand, Lars, Deußer, Tobias, Dilmaghani, Tim, Kliem, Bernd, Loitz, Rüdiger, Bauckhage, Christian, Sifa, Rafet
We introduce KPI-Check, a novel system that automatically identifies and cross-checks semantically equivalent key performance indicators (KPIs), e.g. "revenue" or "total costs", in real-world German financial reports. It combines a financial named en
Externí odkaz:
http://arxiv.org/abs/2211.06112
Autor:
Biesner, David, Pielka, Maren, Ramamurthy, Rajkumar, Dilmaghani, Tim, Kliem, Bernd, Loitz, Rüdiger, Sifa, Rafet
Natural language processing methods have several applications in automated auditing, including document or passage classification, information retrieval, and question answering. However, training such models requires a large amount of annotated data
Externí odkaz:
http://arxiv.org/abs/2211.07716
Many applications in automated auditing and the analysis and consistency check of financial documents can be formulated in part as the subset sum problem: Given a set of numbers and a target sum, find the subset of numbers that sums up to the target.
Externí odkaz:
http://arxiv.org/abs/2211.02653
Autor:
Hillebrand, Lars, Deußer, Tobias, Dilmaghani, Tim, Kliem, Bernd, Loitz, Rüdiger, Bauckhage, Christian, Sifa, Rafet
We present KPI-BERT, a system which employs novel methods of named entity recognition (NER) and relation extraction (RE) to extract and link key performance indicators (KPIs), e.g. "revenue" or "interest expenses", of companies from real-world German
Externí odkaz:
http://arxiv.org/abs/2208.02140