17 citations
- Birla Institute of Technology and Science, PilaniIN1 paper
- California University of PennsylvaniaUS1 paper
- Central Electronics Engineering Research InstituteIN1 paper
- China University of GeosciencesCN1 paper
- Donghua UniversityCN1 paper
- Halmstad UniversitySE1 paper
- Indian Institute of Technology KharagpurIN1 paper
- Institut national de recherche en sciences et technologies du numériqueFR1 paper
- Intelligent Systems Research (United States)US1 paper
- Philadelphia UniversityUS1 paper
- Tampere UniversityFI1 paper
- Technical University of MunichDE1 paper
9 papers
An Application-Specific VLIW Processor with Vector Instruction Set for CNN Acceleration
Andreas Bytyn, Rainer Leupers, Gerd Ascheid
In recent years, neural networks have surpassed classical algorithms in areas such as object recognition, e.g. in the well-known ImageNet challenge. As a result, great effort is be…
Counterfactual Causality from First Principles?
Gregor Gössler, Oleg Sokolsky, Jean-Bernard Stefani
In this position paper we discuss three main shortcomings of existing approaches to counterfactual causality from the computer science perspective, and sketch lines of work to try…
Regional controllability analysis of fractional diffusion equations with Riemann-Liouville time fractional derivatives
Fudong Ge, YangQuan Chen, Chunhai Kou
This paper is concerned with the concepts of regional controllability for the Riemann-Liouville time fractional diffusion systems of order . The characterizations of str…
WNetKAT: A Weighted SDN Programming and Verification Language
Kim G. Larsen, Stefan Schmid, Bingtian Xue
Programmability and verifiability lie at the heart of the software-defined networking paradigm. While OpenFlow and its match-action concept provide primitive operations to manipula…
An Open Solution to Provide Personalized Feedback for Building Energy Management
Andrea Monacchi, Fabio Versolatto, Manuel Herold +3
The integration of renewable energy sources increases the complexity in mantaining the power grid. In particular, the highly dynamic nature of generation and consumption demands fo…
Covariance-Based OFDM Spectrum Sensing with Sub-Nyquist Samples
Alireza Razavi, Mikko Valkama, Danijela Cabric
In this paper, we propose a feature-based method for spectrum sensing of OFDM signals from sub-Nyquist samples over a single band. We exploit the structure of the covariance matrix…