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Bibliographia Humboldtiana Index

Bibliographia Humboldtiana

III. Publikationen von Preisträgern

Elektrotechnik, Nachrichtentechnik

Hayes, Prof. Dr. John Patrick

University of Michigan, United States of America
Fachgebiet: Technical computer science, computer engineering
Gastgeber: Prof. Dr. Ilia Polian Universität Stuttgart
  • Ilia Polian, John Patrick Hayes: Selective hardening: toward cost-effective fault tolerance. In: IEEE Design and Test of Computers. 28, 2011, p. 54 - 63 [Fault-tolerant design, circuit hardening, logic design, soft errors].

  • Ilia Polian, John Patrick Hayes, Sudhakar M. Reddy, Bernd Becker: Modeling and mitigating transient errors in logic circuits. In: IEEE Transactions on Dependable and Secure Computing. 8, 2011, p. 537 - 547 [Error tolerance, selective hardening, soft errors, transient faults].

  • Alexandru Paler, Armin Alaghi, Ilia Polian, John P. Hayes: Tomographic testing and validation of probabilistic circuits. In: Proceedings of 16th European Test Symposium. 2011, p. 63 - 68 [Probabilistic circuits, test and verification, tomography].

  • Alexandru Paler, Ilia Polian, John P. Hayes: Detection and diagnosis of faulty quantum circuits. In: Proceedings of 17th Asia and South Pacific Design Automation Conference. 2012, p. 181 - 186 [Probabilistic testing, quantum circuits, test generation, fault diagnosis].

  • Alexandru Paler, Josef Kinseher, Ilia Polian, John P. Hayes: Approximate simulation of circuits with probabilistic behavior. In: Proceedings of 26th Symposium on Defect & Fault Tolerance in VLSI and Nano. Systems. 2013, p. 95 - 100 [Emerging technologies, stochastic computing, probabilistic simulation, quantum circuits].

  • Florian Neugebauer, Ilia Polian, John P. Hayes: Framework for quantifying and managing accuracy in stochastic circuit design. In: Proceedings of 20th Design Automation and Test in Europe Conference. 2017, p. 1 - 6 [Emerging technologies, error analysis, simulation, stochastic computing].

  • Florian Neugebauer, Ilia Polian, John P. Hayes: Building a better random number generator for stochastic computing. In: Proceedings of Euromicro Conference on Digital System Design. 2017, p. 1 - 6 [Emerging technologies, pseudo-random number generator, simulation, stochastic computing].

Honig, Prof. Dr. Michael

Northwestern University, United States of America
Fachgebiet: Telecommunications, transmissions
Gastgeber: Prof. Dr. Josef A. Nossek Technische Universität München
  • Maximilian Riemensberger, Yalin Sagduyu, Michael Honig, Wolfgang Utschick: Training Overhead for Decoding Random Linear Network Codes in Wireless Networks. In: IEEE Journal on Selected Areas in Communications. 27, 2009, [wireless networks, coding, data detection].