Tomasz Szydlo

Proceedings of the Computational Science - ICCS 2024, 2024

2023

Addressing the Faults Landscape in the Internet of Things: Toward Datacentric and System Resilience.

[BibT_eX]

[DOI]

Sultan Altarrazi

Schahram Dustdar

Satish Narayana Srirama

Rajiv Ranjan

IEEE Internet Comput., 2023

Device management and network connectivity as missing elements in TinyML landscape.

[BibT_eX]

[DOI]

Marcin Nagy

CoRR, 2023

Tiny-Impute: A Framework for On-device Data Quality Validation, Hybrid Anomaly Detection, and Data Imputation at the Edge.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2023

2022

Dynamic Bandwidth Slicing for Time-Critical IoT Data Streams in the Edge-Cloud Continuum.

[BibT_eX]

[DOI]

Gagangeet Singh Aujla

Rajiv Ranjan

IEEE Trans. Ind. Informatics, 2022

IoTSim-Osmosis-RES: Towards autonomic renewable energy-aware osmotic computing.

[BibT_eX]

[DOI]

Softw. Pract. Exp., 2022

FedMSA: A Model Selection and Adaptation System for Federated Learning.

[BibT_eX]

[DOI]

Sensors, 2022

Dynamic Data Streams for Time-Critical IoT Systems in Energy-Aware IoT Devices Using Reinforcement Learning.

[BibT_eX]

[DOI]

Sensors, 2022

Online Anomaly Detection Based On Reservoir Sampling and LOF for IoT devices.

[BibT_eX]

[DOI]

CoRR, 2022

TinyRL: Towards Reinforcement Learning on Tiny Embedded Devices.

[BibT_eX]

[DOI]

Prem Prakash Jayaraman

Yinhao Li

Graham Morgan

Rajiv Ranjan

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Dataset for Anomalies Detection in 3D Printing.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2021, 2021

Renewable Energy-Aware Heuristic Algorithms for Edge Server Selection for Stream Data Processing.

[BibT_eX]

[DOI]

Chris Gniady

Proceedings of the Computational Science - ICCS 2021, 2021

Supporting the Process of Sewer Pipes Inspection Using Machine Learning on Embedded Devices.

[BibT_eX]

[DOI]

Mieszko Klusek

Proceedings of the Computational Science - ICCS 2021, 2021

2020

Machine Learning in the Internet of Things for Industry 4.0.

[BibT_eX]

[DOI]

CoRR, 2020

Resource-aware log monitoring data transmission for Smart and IoT devices.

[BibT_eX]

[DOI]

Marcin Jarzab

Proceedings of the MobiQuitous '20: Computing, 2020

2019

FogFlow - Computation Organization for Heterogeneous Fog Computing Environments.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2019, 2019

Remote Programming and Reconfiguration System for Embedded Devices.

[BibT_eX]

[DOI]

Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, 2019

2018

Software-Defined Virtual Testbed for IoT Systems.

[BibT_eX]

[DOI]

Joanna Sendorek

Wirel. Commun. Mob. Comput., 2018

Holistic approach to management of IT infrastructure for environmental monitoring and decision support systems with urgent computing capabilities.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2018

Enabling Machine Learning on Resource Constrained Devices by Source Code Generation of the Learned Models.

[BibT_eX]

[DOI]

Joanna Sendorek

Proceedings of the Computational Science - ICCS 2018, 2018

Rapid Embedded Systems Prototyping - an effective approach to embedded systems development.

[BibT_eX]

[DOI]

Lukasz Gurdek

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018

2017

Flow-Based Programming for IoT Leveraging Fog Computing.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2017

Leveraging virtualization for scenario based IoT application testing.

[BibT_eX]

[DOI]

Joanna Sendorek

Proceedings of the Communication Papers of the 2017 Federated Conference on Computer Science and Information Systems, 2017

2016

Mobile and wearable devices in an open and universal system for remote patient monitoring.

[BibT_eX]

[DOI]

Marek Konieczny

Microprocess. Microsystems, 2016

Embedded systems in the application of fog computing - Levee monitoring use case.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE Symposium on Industrial Embedded Systems, 2016

2015

Predictive power consumption adaptation for future generation embedded devices powered by energy harvesting sources.

[BibT_eX]

[DOI]

Microprocess. Microsystems, 2015

Holistic Approach to Urgent Computing for Flood Decision Support.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science, 2015

2014

Implementation, Deployment and Governance of SOA Adaptive Systems.

[BibT_eX]

[DOI]

Proceedings of the Advanced SOA Tools and Applications, 2014

Power aware MOM for telemetry-oriented applications using GPRS-enabled embedded devices - levee monitoring use case.

[BibT_eX]

[DOI]

Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, 2014

2013

Message Oriented Communication for IPv6 Enabled Pervasive Devices.

[BibT_eX]

[DOI]

Pawel Suder

Jakub Bibro

Comput. Sci., 2013

2012

Adaptive SOA Solution Stack.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2012

Adaptive Enterprise Service Bus.

[BibT_eX]

[DOI]

New Gener. Comput., 2012

Environment Emulation for WSN Testbed.

[BibT_eX]

[DOI]

Radoslaw Kaploniak

Lukasz Kwiatkowski

Comput. Sci., 2012

2008

Method of Adaptive Quality Control in Service Oriented Architectures.

[BibT_eX]

[DOI]

Proceedings of the Computational Science, 2008

2007

Context generation and structuralization for ambient networks.

[BibT_eX]

[DOI]

Robert Szymacha

Proceedings of the 1st International Conference on Autonomic Computing and Communication Systems, 2007

2006

Context Dissemination and Aggregation for Ambient Networks: Jini Based Prototype.

[BibT_eX]

[DOI]

Proceedings of the Smart Sensing and Context, First European Conference, EuroSSC 2006, 2006

Policy-based Context-aware Adaptable Software Components for Mobility Computing.

[BibT_eX]

[DOI]

Robert Szymacha

Proceedings of the Tenth IEEE International Enterprise Distributed Object Computing Conference (EDOC 2006), 2006

2005

A Rules-to-Trees Conversion in the Inductive Database System VINLEN.

[BibT_eX]

[DOI]