128 citations
- Eindhoven University of TechnologyNL4 papers
- Joint Institute for Nuclear ResearchRU2 papers
- KU LeuvenBE2 papers
- Paul Scherrer InstituteCH2 papers
- Ruđer Bošković InstituteHR2 papers
- Tbilisi State UniversityGE2 papers
- University of VirginiaUS2 papers
- AIT Austrian Institute of Technology GmbHAT1 paper
- Arizona State UniversityUS1 paper
- CEA CadaracheFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1 paper
14 papers
Physically Large Apertures for Wireless Power Transfer: Performance and Regulatory Aspects
Benjamin J. B. Deutschmann, Ulrich Muehlmann, Ahmet Kaplan +7
Wireless power transfer (WPT) is a promising service for the Internet of Things, providing a cost-effective and sustainable solution to deploy so-called energy-neutral devices on a…
CMDS: Cross-layer Dataflow Optimization for DNN Accelerators Exploiting Multi-bank Memories
Man Shi, Steven Colleman, Charlotte VanDeMieroop +4
Deep neural networks (DNN) use a wide range of network topologies to achieve high accuracy within diverse applications. This model diversity makes it impossible to identify a singl…
Neural-Parareal: Dynamically Training Neural Operators as Coarse Solvers for Time-Parallelisation of Fusion MHD Simulations
S. J. P. Pamela, N. Carey, J. Brandstetter +10
The fusion research facility ITER is currently being assembled to demonstrate that fusion can be used for industrial energy production, while several other programmes across the wo…
Comparative Analysis of Polynomial and Rational Approximations of Hyperbolic Tangent Function for VLSI Implementation
Mahesh Chandra
Deep neural networks yield the state-of-the-art results in many computer vision and human machine interface applications such as object detection, speech recognition etc. Since, th…
A Survey on Human Machine Interaction in Industry 4.0
Christian Krupitzer, Sebastian Müller, Veronika Lesch +6
Industry 4.0 or Industrial IoT both describe new paradigms for seamless interaction between humans and machines. Both concepts rely on intelligent, inter-connected cyber-physical p…
TDOA-based Localization via Stochastic Gradient Descent Variants
Luis F. Abanto-Leon, Arie Koppelaar, Sonia Heemstra de Groot
Source localization is of pivotal importance in several areas such as wireless sensor networks and Internet of Things (IoT), where the location information can be used for a variet…