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
[Best Paper candidate]
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
[Best Paper Award]
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
[Best Paper Candidate]
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)
[Best Poster Award]
[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)
[Best Demo Award]
[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)