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pro vyhledávání: '"Andert, A"'
Connected Autonomous Vehicles have great potential to improve automobile safety and traffic flow, especially in cooperative applications where perception data is shared between vehicles. However, this cooperation must be secured from malicious intent
Externí odkaz:
http://arxiv.org/abs/2409.02863
Prior art in traffic incident detection relies on high sensor coverage and is primarily based on decision-tree and random forest models that have limited representation capacity and, as a result, cannot detect incidents with high accuracy. This paper
Externí odkaz:
http://arxiv.org/abs/2408.00996
Autor:
Badalian, Kevin, Koch, Lucas, Brinkmann, Tobias, Picerno, Mario, Wegener, Marius, Lee, Sung-Yong, Andert, Jakob
Publikováno v:
Applied Intelligence (2024)
Advances in artificial intelligence (AI) have led to its application in many areas of everyday life. In the context of control engineering, reinforcement learning (RL) represents a particularly promising approach as it is centred around the idea of a
Externí odkaz:
http://arxiv.org/abs/2312.02739
Autor:
Picerno, Mario, Koch, Lucas, Badalian, Kevin, Wegener, Marius, Schaub, Joschka, Koch, Charles Robert, Andert, Jakob
The process of developing control functions for embedded systems is resource-, time-, and data-intensive, often resulting in sub-optimal cost and solutions approaches. Reinforcement Learning (RL) has great potential for autonomously training agents t
Externí odkaz:
http://arxiv.org/abs/2310.17671
Autor:
Gordon, David C., Winkler, Alexander, Bedei, Julian, Schaber, Patrick, Andert, Jakob, Koch, Charles R.
Model Predictive Control (MPC) provides an optimal control solution based on a cost function while allowing for the implementation of process constraints. As a model-based optimal control technique, the performance of MPC strongly depends on the mode
Externí odkaz:
http://arxiv.org/abs/2310.08392
Autor:
Mareike Andert, Melanie Nagel
Publikováno v:
npj Climate Action, Vol 3, Iss 1, Pp 1-15 (2024)
Abstract The mobility sector significantly contributes to the climate crisis, impacting several Sustainable Development Goals (SDGs) such as good health (SDG 3), sustainable cities (SDG 11), climate action (SDG 13), and life on land (SDG 15). Despite
Externí odkaz:
https://doaj.org/article/1635796ef1e244ad82cb69e95b1c084b
Autor:
Hu, Yi, Zhang, Chaoran, Andert, Edward, Singh, Harshul, Shrivastava, Aviral, Laudon, James, Zhou, Yanqi, Iannucci, Bob, Joe-Wong, Carlee
Careful placement of a computational application within a target device cluster is critical for achieving low application completion time. The problem is challenging due to its NP-hardness and combinatorial nature. In recent years, learning-based app
Externí odkaz:
http://arxiv.org/abs/2305.14562
Autor:
Andert, Edward, Shrivastava, Aviral
A major challenge in cooperative sensing is to weight the measurements taken from the various sources to get an accurate result. Ideally, the weights should be inversely proportional to the error in the sensing information. However, previous cooperat
Externí odkaz:
http://arxiv.org/abs/2209.03306
Autor:
Y. Schneider, C. Gauer, M. Andert, A. Hoffmann, M. J. Riemenschneider, W. Krebs, N. Chalmers, C. Lötzsch, U. J. Naumann, W. Xiang, V. Rothhammer, R. Beckervordersandforth, J. C. M. Schlachetzki, J. Winkler
Publikováno v:
Acta Neuropathologica Communications, Vol 12, Iss 1, Pp 1-23 (2024)
Abstract The growing recognition of a dichotomous role of astrocytes in neurodegenerative processes has heightened the need for unraveling distinct astrocytic subtypes in neurological disorders. In multiple system atrophy (MSA), a rare, rapidly progr
Externí odkaz:
https://doaj.org/article/7d5d90d6fe9a4faab27239d181ce0b83
Autor:
Norouzi, Armin, Shahpouri, Saeid, Gordon, David, Winkler, Alexander, Nuss, Eugen, Abel, Dirk, Andert, Jakob, Shahbakhti, Mahdi, Koch, Charles Robert
The high thermal efficiency and reliability of the compression-ignition engine makes it the first choice for many applications. For this to continue, a reduction of the pollutant emissions is needed. One solution is the use of machine learning (ML) a
Externí odkaz:
http://arxiv.org/abs/2204.00142