Zobrazeno 1 - 10
of 263
pro vyhledávání: '"P, Heistracher"'
This paper presents our ongoing work towards XAI for Mobility Data Science applications, focusing on explainable models that can learn from dense trajectory data, such as GPS tracks of vehicles and vessels using temporal graph neural networks (GNNs)
Externí odkaz:
http://arxiv.org/abs/2307.08461
Autor:
Pruckovskaja, Viktorija, Weissenfeld, Axel, Heistracher, Clemens, Graser, Anita, Kafka, Julia, Leputsch, Peter, Schall, Daniel, Kemnitz, Jana
Data-driven machine learning is playing a crucial role in the advancements of Industry 4.0, specifically in enhancing predictive maintenance and quality inspection. Federated learning (FL) enables multiple participants to develop a machine learning m
Externí odkaz:
http://arxiv.org/abs/2304.11101
We propose a new sampling strategy, called smart active sapling, for quality inspections outside the production line. Based on the principles of active learning a machine learning model decides which samples are sent to quality inspection. On the one
Externí odkaz:
http://arxiv.org/abs/2209.11464
Autor:
Heistracher, Clemens, Jalali, Anahid, Schneeweiss, Jürgen, Kovacs, Klaudia, Laflamme, Catherine, Haslhofer, Bernhard
Coating chambers create thin layers that improve the mechanical and optical surface properties in jewelry production using physical vapor deposition. In such a process, evaporated material condensates on the walls of such chambers and, over time, cau
Externí odkaz:
http://arxiv.org/abs/2205.15145
Autor:
Heistracher, Clemens, Jalali, Anahid, Suendermann, Axel, Meixner, Sebastian, Schall, Daniel, Haslhofer, Bernhard, Kemnitz, Jana
The increasing deployment of low-cost IoT sensor platforms in industry boosts the demand for anomaly detection solutions that fulfill two key requirements: minimal configuration effort and easy transferability across equipment. Recent advances in dee
Externí odkaz:
http://arxiv.org/abs/2110.04049
We propose a novel micromagnetic standard problem calculating the coercive field for unpinning a domain wall at the interface of a multiphase magnet. This problem is sensitive to discontinuities in material parameters for the exchange interaction, th
Externí odkaz:
http://arxiv.org/abs/2107.07855
Autor:
Leo, Naëmi, Pancaldi, Matteo, Koraltan, Sabri, González, Pedro Villalba, Abert, Claas, Vogler, Christoph, Slanovc, Florian, Bruckner, Florian, Heistracher, Paul, Hofhuis, Kevin, Menniti, Matteo, Suess, Dieter, Vavassori, Paolo
Collective dynamics in lithographically-defined artificial spin ices offer profound insights into emergent correlations and phase transitions of geometrically-frustrated Ising spin systems. Their temporal and spatial evolution are often simulated usi
Externí odkaz:
http://arxiv.org/abs/2010.11291
Autor:
Mandru, Andrada-Oana, Yıldırım, Oğuz, Tomasello, Riccardo, Heistracher, Paul, Penedo, Marcos, Giordano, Anna, Suess, Dieter, Finocchio, Giovanni, Hug, Hans Josef
Materials hosting magnetic skyrmions at room temperature could enable new computing architectures as well as compact and energetically efficient magnetic storage such as racetrack memories. In a racetrack device, information is coded by the presence/
Externí odkaz:
http://arxiv.org/abs/2007.15427
Autor:
Koraltan, Sabri, Pancaldi, Matteo, Leo, Naëmi, Abert, Claas, Vogler, Christoph, Hofhuis, Kevin, Slanovc, Florian, Bruckner, Florian, Heistracher, Paul, Menniti, Matteo, Vavassori, Paolo, Suess, Dieter
We perform micromagnetic simulations to study the switching barriers in square artificial spin ice systems consisting of elongated single domain magnetic islands arranged on a square lattice. By considering a double vertex composed of one central isl
Externí odkaz:
http://arxiv.org/abs/2006.03828
In micromagnetic simulations, the demagnetization field is by far the computationally most expensive field component and often a limiting factor in large multilayer systems. We present an exact method to calculate the demagnetization field of magneti
Externí odkaz:
http://arxiv.org/abs/1910.07054