activity
20212023
most citedStressNAS: Affect State and Stress Detection Using Neural Architecture Search

33 citations · 89 across the 7 of their papers we have counts for

collaborators

7 papers

cs.NI2023★ 5 cited

How Can AI be Distributed in the Computing Continuum? Introducing the Neural Pub/Sub Paradigm

Lauri Lovén, Roberto Morabito, Abhishek Kumar +3

This paper proposes the neural publish/subscribe paradigm, a novel approach to orchestrating AI workflows in large-scale distributed AI systems in the computing continuum. Traditio…

cs.MA2022★ 21 cited

Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration

Henna Kokkonen, Lauri Lovén, Naser Hossein Motlagh +15

Future AI applications require performance, reliability and privacy that the existing, cloud-dependant system architectures cannot provide. In this article, we study orchestration…

cs.NI2022★ 1 cited

Situation Awareness for Autonomous Vehicles Using Blockchain-based Service Cooperation

Huong Nguyen, Tri Nguyen, Teemu Leppänen +2

Efficient Vehicle-to-Everything enabling cooperation and enhanced decision-making for autonomous vehicles is essential for optimized and safe traffic. Real-time decision-making bas…

cs.LG2021★ 33 cited

StressNAS: Affect State and Stress Detection Using Neural Architecture Search

Lam Huynh, Tri Nguyen, Thu Nguyen +2

Smartwatches have rapidly evolved towards capabilities to accurately capture physiological signals. As an appealing application, stress detection attracts many studies due to its p…

cs.DC2021★ 28 cited

A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things

Jiehan Zhou, Shouhua Zhang, Qinghua Lu +7

Federated learning (FL) brings collaborative intelligence into industries without centralized training data to accelerate the process of Industry 4.0 on the edge computing level. F…

cs.SI2021★ 1 cited

Collaborative Innovation, Collaborative Capabilities and Value Co-creation in an Industry 4.0 Context: An Empirical Evidence

Iqra Khan, Marko Jurmu, Marko Jurvansuu +7

This submission has been removed by arXiv administrators as the submitter did not have the right to agree to the license at the time of submission.

cs.SI2021

Industry 4.0 in Finland: Towards Twin Transition

Iqra Khan, Osmo Kauppilaa, Jukka Majava +5

This submission has been removed by arXiv administrators as the submitter did not have the right to agree to the license at the time of submission.