Hashem Haghbayan

Approximation for Run-time Power Management (2018)

IEEE International Symposium on Circuits and Systems, IEEE International Symposium on Circuits and Systems. Proceedings

Anil Kanduri, Mohammad-Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments (2018)

IEEE International Conference on Intelligent Transportation Systems, Proceedings of the IEEE international conference on intelligent transportation systems

Mohammad-Hashem Haghbayan, Fahimeh Farahnakian, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Juha Plosila, Jukka Heikkonen

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

adBoost: Thermal Aware Performance Boosting through Dark Silicon Patterning (2018)

IEEE Transactions on Computers

Kanduri A., Haghbayan M., Rahmani A., Shafique M., Jantsch A., Liljeberg P.

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Object Detection Based on Multi-sensor Proposal Fusion in Maritime Environment (2018)

IEEE International Conference on Machine Learning and Applications

Fahimeh Farahnakian, Mohammad-Hashem Haghbayan, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Jukka Heikkonen

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Dark silicon patterning: Efficient power utilization through run-time mapping (2017)

Anil Kanduri, Mohammad-Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen

(Vertaisarvioitu artikkeli kokoomateoksessa (A3))

Real-Time Swimmer Tracking on Sparse Camera Array (2017)

International Conference on Pattern Recognition Applications and Methods

Paavo Nevalainen, M. Hashem Haghbayan, Antti Kauhanen, Jonne Pohjankukka, Mikko-Jussi Laakso, Jukka Heikkonen

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Performance/Reliability-Aware Resource Management for Many-Cores in Dark Silicon Era (2017)

IEEE Transactions on Computers

Haghbayan M, Miele A, Rahmani A, Liljeberg P, Tenhunen H

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Accuracy-Aware Power Management for Many-Core Systems Running Error-Resilient Applications (2017)

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Kanduri A, Haghbayan MH, Rahmani AM, Liljeberg P, Jantsch A, Tenhunen H, Dutt N

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Reliability-Aware Runtime Power Management for Many-Core Systems in the Dark Silicon Era (2017)

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Amir M. Rahmani, Mohammad-Hashem Haghbayan, Antonio Miele, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Can Dark Silicon Be Exploited to Prolong System Lifetime? (2017)

IEEE Design and Test

Haghbayan MH, Rahmani AM, Liljeberg P, Jantsch A, Miele A, Bolchini C, Tenhunen H

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

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Approximation for Run-time Power Management (2018)

An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments (2018)

adBoost: Thermal Aware Performance Boosting through Dark Silicon Patterning (2018)

Object Detection Based on Multi-sensor Proposal Fusion in Maritime Environment (2018)

Dark silicon patterning: Efficient power utilization through run-time mapping (2017)

Real-Time Swimmer Tracking on Sparse Camera Array (2017)

Performance/Reliability-Aware Resource Management for Many-Cores in Dark Silicon Era (2017)

Accuracy-Aware Power Management for Many-Core Systems Running Error-Resilient Applications (2017)

Reliability-Aware Runtime Power Management for Many-Core Systems in the Dark Silicon Era (2017)

Can Dark Silicon Be Exploited to Prolong System Lifetime? (2017)