Fingerprint Dive into the research topics where BA1618 Intelligent industry II is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Semantics Engineering & Materials Science
Industry Engineering & Materials Science
Communication Engineering & Materials Science
Sensors Engineering & Materials Science
Ecosystems Engineering & Materials Science
Middleware Engineering & Materials Science
Monitoring Engineering & Materials Science
Interoperability Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Profiles

No photo of Tommi Aihkisalo

Tommi Aihkisalo

Person: Senior Scientists

20022019
No photo of Jere Backman

Jere Backman

Person: Senior Scientists

20112019
No photo of Immo Heino

Immo Heino

Person: Senior Scientists

19932018

Projects 2017 2020

VAMOS!: Value Added Mobility Service - VAMOS!

Kostiainen, J., Kinnunen, T. K., Pihlajamaa, O., Hautala, R., Eckhardt, J., Lahti, J. & Heino, I.

1/12/1731/12/18

Project: Research

Research Output 1986 2019

2 Citations (Scopus)

Blockchain-Powered Value Creation in the 5G and Smart Grid Use Cases

Valtanen, K., Backman, J. & Yrjola, S., 21 Feb 2019, In : IEEE Access. 7, p. 25690-25707 18 p., 8648405.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
Industry
Telecommunication industry
Ecosystems
Electricity
Costs

Empowering Healthcare IoT Systems with Hierarchical Edge-Based Deep Learning

Azimi, I., Takalo-Mattila, J., Anzanpour, A., Rahmani, A., Soininen, J-P. & Liljeberg, P., 21 Feb 2019, Proceedings - 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2018. Institute of Electrical and Electronic Engineers IEEE, p. 63-68 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Availability
Monitoring
Health
Servers
Neural networks

Online architecture for predicting live video transcoding resources

Pääkkönen, P., Heikkinen, A. & Aihkisalo, T., 2019, In : Journal of Cloud Computing. 8, 1, 9.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
Program processors
Video streaming
Reinforcement learning
Resource allocation
Quality of service

Impacts

Near Field Communication - wireless charging standardization

Tuomo Tuikka (Participant), Esko Strömmer (Participant), Marko Jurvansuu (Participant), Arto Ylisaukko-oja (Participant)

Impact: Excellence in Science and Innovation