84 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Graz University of TechnologyAT7 papers
- GSI Helmholtz Centre for Heavy Ion ResearchDE5 papers
- Justus-Liebig-Universität GießenDE5 papers
- Nawi GrazAT4 papers
- University of GrazAT4 papers
- Institut für HochschulforschungDE3 papers
- Johannes Kepler University of LinzAT3 papers
- Giessen School of TheologyDE2 papers
- Imperial College LondonGB2 papers
- Know Center Research GmbH (Austria)AT2 papers
- Slovak University of Technology in BratislavaSK2 papers
- Universidad Michoacana de San Nicolás de HidalgoMX2 papers
31 papers
Communication Technologies for Intelligent Transportation Systems: From Railways to UAVs and Beyond
Shrief Rizkalla, Adrian Kliks, Nila Bagheri +25
This white paper aims to comprehensively analyze and consolidate the state of the art in communication technologies supporting modern and future Information and Communication Techn…
Federated Distillation on Edge Devices: Efficient Client-Side Filtering for Non-IID Data
Ahmed Mujtaba, Gleb Radchenko, Radu Prodan +1
Federated distillation has emerged as a promising collaborative machine learning approach, offering enhanced privacy protection and reduced communication compared to traditional fe…
Virtual Sensing for Solder Layer Degradation and Temperature Monitoring in IGBT Modules
Andrea Urgolo, Monika Stipsitz, Hèlios Sanchis-Alepuz
Monitoring the degradation state of Insulated Gate Bipolar Transistor (IGBT) modules is essential for ensuring the reliability and longevity of power electronic systems, especially…
Shot-noise-limited emission from interband and quantum cascade lasers
Tecla Gabbrielli, Jacopo Pelini, Georg Marschick +12
The intensity noise of a laser source represents one of the key factors limiting the ultimate sensitivity in laser-based systems for sensing and telecommunication. For advanced app…
Initialization-Free Multistate Memristor: Synergy of Spin-Orbit Torque and Magnetic Fields
Raghvendra Posti, Chirag Kalouni, Dhananjay K Tiwari +1
Spin-orbit torque (SOT)-based perpendicularly magnetized memory devices with multistate memory have garnered significant interest due to their applicability in low-power in-memory…
Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation
Maximilian Baronig, Romain Ferrand, Silvester Sabathiel +1
Implementations of spiking neural networks on neuromorphic hardware promise orders of magnitude less power consumption than their non-spiking counterparts. The standard neuron mode…
Continual Learning in the Presence of Repetition
Hamed Hemati, Lorenzo Pellegrini, Xiaotian Duan +11
Continual learning (CL) provides a framework for training models in ever-evolving environments. Although re-occurrence of previously seen objects or tasks is common in real-world p…
Uncertainty Estimation in Multi-Agent Distributed Learning for AI-Enabled Edge Devices
Gleb Radchenko, Victoria Andrea Fill
Initially considered as low-power units with limited autonomous processing, Edge IoT devices have seen a paradigm shift with the introduction of FPGAs and AI accelerators. This adv…
Optimization of Rate-Splitting Multiple Access in Beyond Diagonal RIS-assisted URLLC Systems
Mohammad Soleymani, Ignacio Santamaria, Eduard Jorswieck +1
This paper proposes a general optimization framework for rate splitting multiple access (RSMA) in beyond diagonal (BD) reconfigurable intelligent surface (RIS) assisted ultra-relia…
Waveform Optimization and Beam Focusing for Near-field Wireless Power Transfer with Dynamic Metasurface Antennas and Non-linear Energy Harvesters
Amirhossein Azarbahram, Onel L. A. López, Matti Latva-Aho
Radio frequency (RF) wireless power transfer (WPT) is a promising technology for future wireless systems. However, the low power transfer efficiency (PTE) is a critical challenge f…
Towards Deterministic Communications in 6G Networks: State of the Art, Open Challenges and the Way Forward
Gourav Prateek Sharma, Dhruvin Patel, Joachim Sachs +13
Over the last decade, society and industries are undergoing rapid digitization that is expected to lead to the evolution of the cyber-physical continuum. End-to-end deterministic c…
Glueballs from bound state equations
Markus Q. Huber, Christian S. Fischer, Helios Sanchis-Alepuz
Glueballs are bound states in the spectrum of quantum chromodynamics which consist only of gluons. They belong to the group of exotic hadrons which are widely studied experimentall…
Active vs. Passive: A Comparison of Automata Learning Paradigms for Network Protocols
Bernhard K. Aichernig, Edi Muškardin, Andrea Pferscher
Active automata learning became a popular tool for the behavioral analysis of communication protocols. The main advantage is that no manual modeling effort is required since a beha…
Elucidating the rho-meson's role as intermediate resonance in the time-like electromagnetic pion form factor
Reinhard Alkofer, Angel S. Miramontes, Helios Sanchis-Alepuz
Motivated by the planned measurements of the time-like electromagnetic proton form factors an exploratory study of the time-like electromagnetic pion form factor is presented in a…
Electromagnetic and strong isospin breaking in light meson masses
Ángel S. Miramontes, Reinhard Alkofer, Christian S. Fischer +1
We study electromagnetic as well as strong isospin breaking effects in the isospin mass splittings of light pseudoscalar and vector mesons. To this end we employ a coupled system o…
A machine learning pipeline for autonomous numerical analytic continuation of Dyson-Schwinger equations
Andreas Windisch, Thomas Gallien, Christopher Schwarzlmueller
Dyson-Schwinger equations (DSEs) are a non-perturbative way to express n-point functions in quantum field theory. Working in Euclidean space and in Landau gauge, for example, one c…
Full analytical solution for the magnetic field of uniformly magnetized cylinder tiles
Florian Slanovc, Michael Ortner, Mohssen Moridi +2
We present an analytical solution for the magnetic field of a homogeneously magnetized cylinder tile and by extension solutions for full cylinders, rings, cylinder sectors and ring…
Quenched glueball spectrum from functional equations
Markus Q. Huber, Christian S. Fischer, Hèlios Sanchis-Alepuz
We give an overview of results for the quenched glueball spectrum from two-body bound state equations based on the 3PI effective action. The setup, which uses self-consistently cal…
Achievements and Perspectives of Optical Fiber Fabry-Perot Cavities
Hannes Pfeifer, Lothar Ratschbacher, Jose Gallego +8
Fabry-Perot interferometers have stimulated numerous scientific and technical applications ranging from high resolution spectroscopy over metrology, optical filters to interfaces o…
Higher spin glueballs from functional methods
Markus Q. Huber, Christian S. Fischer, Helios Sanchis-Alepuz
We calculate the glueball spectrum for spin up to J=4 and positive charge parity in pure Yang-Mills theory. We construct the full bases for J=0,1,2,3,4 and discuss the relation to…
FooBaR: Fault Fooling Backdoor Attack on Neural Network Training
Jakub Breier, Xiaolu Hou, Martín Ochoa +1
Neural network implementations are known to be vulnerable to physical attack vectors such as fault injection attacks. As of now, these attacks were only utilized during the inferen…
Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks
Ozan Ozdenizci, Deniz Erdogmus
Feature ranking and selection is a widely used approach in various applications of supervised dimensionality reduction in discriminative machine learning. Nevertheless there exists…
GEASI: Geodesic-based Earliest Activation Sites Identification in cardiac models
Thomas Grandits, Alexander Effland, Thomas Pock +3
The identification of the initial ventricular activation sequence is a critical step for the correct personalization of patient-specific cardiac models. In healthy conditions, the…
Neutron Stars in Palatini and Theories
Georg Herzog, Hèlios Sanchis-Alepuz
We study solutions of the stellar structure equations for spherically symmetric objects in Palatini and in the mass-radius region associated to neu…