Pasi Liljeberg

Energy-efficient and reliable wearable internet-of-things through fog-assisted dynamic goal management (2019)

International Conference on Ambient Systems, Networks and Technologies, Procedia Computer Science

Arman Anzanpour, Humayun Rashid, Amir M.Rahmani, Axel Jantsch, Nikil Dutt, Pasi Liljeberg

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Energy efficient fog-assisted IoT system for monitoring diabetic patients with cardiovascular disease (2019)

Future Generation Computer Systems

Gia TN, Ben Dhaou I, Ali M, Rahmani AM, Westerlund T, Liljeberg P, Tenhunen H

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

Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study (2019)

IEEE Access

Iman Azimi, Olugbenga Oti, Sina Labbaf, Hannakaisa Niela-Vilén, Anna Axelin, Nikil Dutt, Pasi Liljeberg, Amir M. Rahmani

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

End-to-End Approximation for Characterizing Energy Efficiency of IoT Applications (2019)

IEEE Nordic Circuits and Systems Conference (NORCAS): NORCHIP and International Symposium of System-on-Chip (SoC)

Mohammadreza Nakhkash, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Edge-Assisted Sensor Control in Healthcare IoT (2018)

IEEE Global Communications Conference

Amiri Delaram, Anzanpour Arman, Azimi Iman, Levorato Marco, Rahmani Amir M., Liljeberg Pasi, Dutt Nikil

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Fog computing approach for mobility support in internet-of-things systems (2018)

IEEE Access

Tuan Nguyen Gia, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen

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

IoT-based remote pain monitoring system: from device to cloud platform (2018)

IEEE Journal of Biomedical and Health Informatics

Geng Yang, Mingzhe Jiang, Wei Ouyang, Guangchao Ji, Haibo Xie, Amir M Rahmani, Pasi Liljeberg, Hannu Tenhunen

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

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))

Applicability of Context-Aware Health Monitoring to Hydraulic Circuits (2018)

Annual Conference of the IEEE Industrial Electronics Society, Proceedings of the Annual Conference of the IEEE Industrial Electronics Society

Götzinger M, Willegger E, TaheriNejad N, Jantsch A, Sauter T, Glatz T, Liljeberg P

(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))

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Energy-efficient and reliable wearable internet-of-things through fog-assisted dynamic goal management (2019)

Energy efficient fog-assisted IoT system for monitoring diabetic patients with cardiovascular disease (2019)

Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study (2019)

End-to-End Approximation for Characterizing Energy Efficiency of IoT Applications (2019)

Edge-Assisted Sensor Control in Healthcare IoT (2018)

Fog computing approach for mobility support in internet-of-things systems (2018)

IoT-based remote pain monitoring system: from device to cloud platform (2018)

Approximation for Run-time Power Management (2018)

Applicability of Context-Aware Health Monitoring to Hydraulic Circuits (2018)

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