publ-2022.bib

@comment{{This file has been generated by bib2bib 1.99}}
@comment{{Command line: bib2bib -q -ob publ-2022.bib --remove keywords -c 'year = 2022' /home/jantsch/Website/jantsch.se/AxelJantsch/publist.bib}}
@comment{{This file has been generated by bib2bib 1.99}}
@comment{{Command line: bib2bib -q -oc /home/jantsch/Website/jantsch.se/AxelJantsch/citefile -ob /home/jantsch/Website/jantsch.se/AxelJantsch/publist.bib -c '(( author : "Jantsch" or ( editor : "Jantsch" and $type : "book" ))
	    and ( not ( $key : "presentation" ))
	    and ( not ( $type : "techreport" ))
	    and ( not ( $type : "misc" ))
	    and ( not ( annotate : "not reviewed" )))
	    or $key = "hauer:2021a"
	    ' /home/jantsch/text/papers/lit.bib}}
@comment{{Example entry for online references:
miscWinNT,
  title = MS Windows NT Kernel Description,
  howpublished = \urlhttp://web.archive.org/web/20080207010024/http://www.808multimedia.com/winnt/kernel.htm,
  note = Accessed: 2010-09-30
}}
@comment{{Example:
miscWikiQuineMcCluskey,
  title =	 Quine-McCluskey Algorithm,
  author =  Wikipedia ,
  year = 2021,
  howpublished =
                  \urlhttps://en.wikipedia.org/wiki/Quine%E2%80%93McCluskey_algorithm,
  note =	 Accessed: 2021-08-11
}}
@article{lundstroem:2022a,
  author = {Lundstr\"om, Adam and O'Nils, Mattias and Qureshi,
                  Faisal and Jantsch, Axel},
  journal = {IEEE Access},
  title = {Improving deep learning based anomaly detection on
                  multivariate time series through separated anomaly
                  scoring},
  year = 2022,
  pages = {1-1},
  key = { eml },
  doi = {10.1109/ACCESS.2022.3213038}
}
@incollection{kobelrausch:2022a,
  author = {Markus D. Kobelrausch and Axel Jantsch},
  title = {Skill Acquisition for Resource-Constrained Mobile
                  Robots through Continuous Exploration},
  booktitle = {Cognitive Robotics},
  publisher = {IntechOpen},
  address = {Rijeka},
  year = 2022,
  editor = {Dr. Maki K. Habib},
  chapter = 1,
  key = {selfaware},
  doi = {10.5772/intechopen.104996},
  url = {http://jantsch.se/AxelJantsch/papers/2022/MarkusKobelrausch-SkillAcquisition.pdf}
}
@inproceedings{elaraby:2022a,
  author = {Nahla El-Araby and Axel Jantsch},
  title = { Reliable Power Efficient Systems through Run-time
                  Reconfiguration},
  booktitle = { Proceedings of the IEEE International NEWCAS
                  Conference },
  year = 2022,
  month = {June},
  address = {Quebec, Canada},
  url = {http://jantsch.se/AxelJantsch/papers/2022/NajlaElAraby-NEWCAS.pdf}
}
@article{valinataj:2022a,
  title = {Hierarchical multipliers: A framework for high-speed
                  multiple error detecting architectures},
  journal = {Microelectronics Journal},
  pages = 105459,
  year = 2022,
  issn = {0026-2692},
  doi = {https://doi.org/10.1016/j.mejo.2022.105459},
  url = {https://www.sciencedirect.com/science/article/pii/S0026269222000945},
  author = {Mojtaba Valinataj and Axel Jantsch},
  abstract = {The demand for high-performance and reliable
                  processing systems is steadily increasing, also in
                  applications where multiple transient faults may
                  occur. As multipliers are one of the main building
                  blocks of the processing systems, employing a
                  cost-efficient and high-speed method handling
                  multiple-errors is of great importance. In this
                  paper, at first a framework to achieve multiple
                  error detection in the multipliers is proposed,
                  which is entirely independent of the multiplier type
                  and error detection method. Then, the self-checking
                  hierarchical multipliers with multiple error
                  detection capability up to the size of 64 × 64 bits
                  are proposed in such a way that the low-cost and
                  high-speed designs are achieved with high multiple
                  error detection probabilities. Experimental results
                  based on analysis and simulation show that the
                  proposed 32 × 32 and 64 × 64 multipliers based on
                  each of Dadda or Braum structures as high-speed
                  parallel and array multipliers, respectively,
                  achieve more than 99.8% error detection probability
                  against three or more simultaneous errors. This
                  capability for 64 × 64 multipliers is attained with
                  35% area overhead and less than 5% delay overhead
                  compared to the basic non-self-checking design.}
}
@inproceedings{lechner:2022a,
  author = {Martin Lechner and Axel Jantsch and Lukas Steindl},
  title = {Study of {DNN}-based Ragweed Detection from Drones},
  key = {eml,cdl},
  booktitle = {Proceedings of International Conference on Embedded
                  Computer Systems: Architectures, Modeling and
                  Simulation (SAMOS)},
  year = 2022,
  month = {July},
  address = {Samos, Greece},
  url = {http://jantsch.se/AxelJantsch/papers/2022/MartinLechner-SAMOS.pdf}
}