Accepted Papers

You can download the pre-proceedings here.

Conference Papers

A Hardware-Aware and Content-Adaptive Super Resolution System for Bandwidth-Limited IoT Video Delivery

by X. Duan, Z. Zhou, W. Qiu, Z. Shu, Z. Tang, J. Han

A Process to Non-invasively Augment Legacy IoT Systems Using Business Processes and Microservices

by R. Seiger, M. Franceschetti, A. Abbad-Andaloussi

An eXtended Reality Data Transformation Framework for Internet of Things Devices Integration

by W. Espinal, J. Jimenez, L. Corneo

Benchmarking Context-Aware Services for IoT-driven Transportation Systems

by E. Ntallaris, G. Bouloukakis, K. Magoutis

Certificateless Data Auditing Scheme for Fog-CPSs with Audit Verification

by R. Mistri, S. Srivastava, J. Alam, S. Mayti

Data Quality as a Service Framework for AI-Enabled Industrial Internet of Things

by A. Goknil, P. Nguyen, E. Husom, S. Sen, S. Tverdal, F. Peysson, D. Politai, R. González

Enabling IoT-enhanced Data Models for Context-aware Hydropower Plants

by N. Papadakis, G. Bouloukakis, K. Magoutis

GoldFish: Serverless Actors with Short-Term Memory State for the Edge-Cloud Continuum

by C. Marcelino, S. Nastic, J. Shahhoud

How do IoT Solutions Enable Circular Economy Business Models?

by E. Hatara, L. Saari

RetroWoT: A Method to Integrate Brownfield Devices in the Web of Things

by R. Dorsch, M. Freund, K. Arevalo, A. Harth

Sailing Through Data: Automated Data Annotation Systems for Machine Learning Applications in Maritime Navigation

by P. Viblid, J. Hernandez, D. Kim

SEAL-CC: Scalable Latency Evaluation Methodology for Internet-of-Things Services

by K. Horvath, D. Kimovski, B. Spiess, O. Hohlfeld, R. Prodan

Sensor-Guided Adaptive Machine Learning on Resource-Constrained Devices

by F. Papst, D. Kraus, M. Rechberger, O. Saukh

Smart Trash Can: Image Classification and Segmentation for Waste Quality Management in the Home

by F. Wolling, G. Pal, L. Larcher, F. Michahelles

Towards Adaptive Asynchronous Federated Learning for Human Activity Recognition

by R. Gajanin, A. Danilenka, A. Morichetta, S. Nastic

UtiliGEM: Energy Management Guided by Learned Application Utility

by H. Asad, F. Kraemer, K. Bach, B. Renner

Poster & Demo Papers (11)

[POSTER] AI-powered smart toys: interactive friends or surveillance devices?

by Valentyna Pavliv, Nima Akbari and Isabel Wagner (University of Basel)

[POSTER] BitTorrent-based Gossip Learning

by Oskar Carl and Torben Weis (University of Duisburg-Essen)

[Poster] Generating data of an absent sensor from correlated sources

by Quoc Quang Ngo, Julián Jerónimo Bañuelos and Stephan Sigg (Aalto University)

[Poster] On the Challenge of Generating Multivariate Time Series Data from Distributed Sensors in IoT-enabled Scenarios

by Julián Jerónimo Bañuelos, Jose Costa-Requena (Aalto University), Jiayuan He (RMIT University), Flora D. Salim (University of New South Wales) and Stephan Sigg (Aalto University)

[Poster] Road Network-based Vehicle Trajectory Imputation via Generative Adversarial Network

by Yichen Shi, Tianlong Zhou, Peiyuan Yin, Zhongyu Wang and Weixiong Rao (Tongji University)

[Poster] Rotation-invariant Gesture Recognition Using mmWave Radar Point clouds

by Alena Alferova, Nhu Nguyen, Arthur Aspelin, Inka Mattila, Juho Sillanpää, Hannah Terborg and Stephan Sigg (Aalto University)

[Demo] A Context-aware Conversational Interface for Controlling Internet-of-Things Devices

by Zhou Gui (Friedrich-Alexander-Universität), Michael Freund (Fraunhofer IIS) and Andreas Harth (Friedrich-Alexander-Universität)

[Demo] A digital twin concept to prototype multi-drone based applications

by David Carramiñana, Lucas Rey Braga, Ana M. Bernardos, Andrzej D. Dobrzycki, Luca Bergesio, Juan A. Besada and José R. Casar (Universidad Politénica de Madrid)

[Demo] Building an open-source, open-hardware platform for IoT education for higher education

by Emil Kelhälä, Raisul Islam and Iván Sánchez (University of Oulu)

[Demo] Kubernetes Task-Offloading Framework for Edge-Cloud Continuum in Vehicular Computing

by Alireza Bakhshi Zadi Mahmoodi and Ella Peltonen (University of Oulu)

[Demo] Simulation of IIoT-Driven Attack Vectors on 5G Core Networks: Dataset Generation and Machine Learning Based Detection

by Suranga Prasad, Pramod Munaweera, Tharaka Hewa, Yushan Siriwardhana and Mika Ylinattila (University of Oulu)