Pasi Liljeberg

Energy-aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model (2019)

IEEE Transactions on Cloud Computing

Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Nguyen Trung Hieu, Hannu Tenhunen

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

Acute pain intensity monitoring with the classification of multiple physiological parameters (2019)

Journal of Clinical Monitoring and Computing

Mingzhe Jiang, Riitta Mieronkoski, Elise Syrjälä, Arman Anzanpour, Virpi Terävä, Amir M. Rahmani, Sanna Salanterä, Riku Aantaa, Nora Hagelberg, Pasi Liljeberg

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

On-Chip Dynamic Resource Management (2019)

Foundations and Trends in Electronic Design Automation

Antonio Miele, Anil Kanduri, Kasra Moazzemi, Dávid Juhász, Amir R. Rahmani, Nikil Dutt, Pasi Liljeberg, Axel Jantsch

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

Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health (2019)

Future Generation Computer Systems

Azimi I., Pahikkala T., Rahmani A., Niela-Vilén H., Axelin A., Liljeberg P.

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

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))

Skin Conductance Response to Gradual-Increasing Experimental Pain (2019)

International Conference of the IEEE Engineering in Medicine and Biology Society, Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Syrjälä Elise, Jiang Mingzhe, Pahikkala Tapio, Salanterä Sanna, Pasi Liljeberg

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Model-free condition monitoring with confidence (2019)

International Journal of Computer Integrated Manufacturing

M. Götzinger, N. TaheriNejad, H. A. Kholerdi, A. Jantsch, E. Willegger, T. Glatzl, A. M. Rahmani, T. Sauter, P. Liljeberg

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

Goal-Driven Autonomy for Efficient On-chip Resource Management: Transforming Objectives to Goals (2019)

Design, Automation & Test in Europe Conference & Exhibition, Proceedings : Design, Automation, and Test in Europe Conference and Exhibition

Elham Shamsa, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil Dutt

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

A Real-time PPG Quality Assessment Approach for Healthcare Internet-of-Things (2019)

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

Emad Kasaeyan Naeini, Iman Azimi, Amir M.Rahmani, Pasi Liljeberg, Nikil Dutt

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Rethinking ‘Things’ - Fog layer interplay in IoT: A mobile code approach (2018)

International Conference on Research and Practical Issues of Enterprise Information Systems, Lecture Notes in Business Information Processing

Behailu Negash, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

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Energy-aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model (2019)

Acute pain intensity monitoring with the classification of multiple physiological parameters (2019)

On-Chip Dynamic Resource Management (2019)

Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health (2019)

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

Skin Conductance Response to Gradual-Increasing Experimental Pain (2019)

Model-free condition monitoring with confidence (2019)

Goal-Driven Autonomy for Efficient On-chip Resource Management: Transforming Objectives to Goals (2019)

A Real-time PPG Quality Assessment Approach for Healthcare Internet-of-Things (2019)

Rethinking ‘Things’ - Fog layer interplay in IoT: A mobile code approach (2018)