Peter Hellinckx

According to our database, Peter Hellinckx authored at least 114 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

SI-M/O: Swarm Intelligence-based Modeling and Optimization of complex synthesis reaction processes.

Min Wu, Ulderico Di Caprio, Furkan Elmaz, Florence H. Vermeire, Bert Metten, Olivier Van Der Ha, Dries De Clercq, Siegfried Mercelis, Peter Hellinckx, Leen Braeken, Mumin Enis Leblebici

Comput. Chem. Eng., November, 2023

Hybrid modelling of a batch separation process.

Ulderico Di Caprio, Min Wu, Furkan Elmaz, Yentl Wouters, Niels Vandervoort, Ali Anwar, Siegfried Mercelis, Steffen Waldherr, Peter Hellinckx, Mumin Enis Leblebici

Comput. Chem. Eng., September, 2023

Reinforcement learning-based approach for optimizing solvent-switch processes.

Furkan Elmaz, Ulderico Di Caprio, Min Wu, Yentl Wouters, Geert Van Der Vorst, Niels Vandervoort, Ali Anwar, Mumin Enis Leblebici, Peter Hellinckx, Siegfried Mercelis

Comput. Chem. Eng., August, 2023

Autonomous Port Navigation With Ranging Sensors Using Model-Based Reinforcement Learning.

Siemen Herremans, Ali Anwar, Arne Troch, Ian Ravijts, Maarten Vangeneugden, Siegfried Mercelis, Peter Hellinckx

CoRR, 2023

An In-Depth Analysis of Discretization Methods for Communication Learning using Backpropagation with Multi-Agent Reinforcement Learning.

Astrid Vanneste, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx

CoRR, 2023

Scalability of Message Encoding Techniques for Continuous Communication Learned with Multi-Agent Reinforcement Learning.

Astrid Vanneste, Thomas Somers, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx

CoRR, 2023

Metamodelling of Noise to Image Classification Performance.

Jens de Hoog, Ali Anwar, Philippe Reiter, Siegfried Mercelis, Peter Hellinckx

IEEE Access, 2023

An Energy Management Unit for Predictive Solar Energy Harvesting IoT.

Justus Rajappa Anuj, Adnan Sabovic, Burcu Celikkol, Michiel Aernouts, Philippe Reiter, Siegfried Mercelis, Peter Hellinckx, Jeroen Famaey

Proceedings of the 8th International Conference on Internet of Things, 2023

2022

Adaptivity in multi-level traffic simulation using experimental frames.

Stig Bosmans, Toon Bogaerts, Wim Casteels, Siegfried Mercelis, Joachim Denil, Peter Hellinckx

Simul. Model. Pract. Theory, 2022

Leveraging Artificial Intelligence and Fleet Sensor Data towards a Higher Resolution Road Weather Model.

Toon Bogaerts, Sylvain Watelet, Niko De Bruyne, Chris Thoen, Tom Coopman, Joris Van den Bergh, Maarten Reyniers, Dirck Seynaeve, Wim Casteels, Steven Latré, Peter Hellinckx

Sensors, 2022

Resource efficient AI: Exploring neural network pruning for task specialization.

Dieter Balemans, Philippe Reiter, Jan Steckel, Peter Hellinckx

Internet Things, 2022

An Analysis of Discretization Methods for Communication Learning with Multi-Agent Reinforcement Learning.

Astrid Vanneste, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Steven Latré, Peter Hellinckx

CoRR, 2022

Deep Set Conditioned Latent Representations for Action Recognition.

Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Application Placement in Fog Environments using Multi-Objective Reinforcement Learning with Maximum Reward Formulation.

Reinout Eyckerman, Philippe Reiter, Steven Latré, Johann Márquez-Barja, Peter Hellinckx

Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

A Joint Perception Scheme For Connected Vehicles.

Ahmed N. Ahmed, Ian Ravijts, Jens de Hoog, Ali Anwar, Siegfried Mercelis, Peter Hellinckx

Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways.

Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Robin Janssens, Mattias Billast, Ali Anwar, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx

Proceedings of the IECON 2022, 2022

Reinforcement learning based mass flow and supply temperature control for combined heat distribution.

Stef Jacobs, Sara Ghane, Ali Anwar, Siegfried Mercelis, Peter Hellinckx, Ivan Verhaert

Proceedings of the IECON 2022, 2022

Transfer Learning-based Hybrid Modeling Approach for Indoor Temperature Modeling.

Furkan Elmaz, Sara Ghane, Thomas Huybrechts, Ali Anwar, Siegfried Mercelis, Peter Hellinckx

Proceedings of the IECON 2022, 2022

Object Detection To Enable Autonomous Vessels On European Inland Waterways.

Mattias Billast, Robin Janssens, Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Ali Anwar, Kevin Mets, Tom De Schepper, José Oramas, Steven Latré, Peter Hellinckx

Proceedings of the IECON 2022, 2022

Requirements and Specifications for the Orchestration of Network Intelligence in 6G.

Miguel Camelo, Luca Cominardi, Marco Gramaglia, Marco Fiore, Andres Garcia-Saavedra, Lidia Fuentes, Danny De Vleeschauwer, Paola Soto-Arenas, Nina Slamnik-Krijestorac, Joaquín Ballesteros, Chia-Yu Chang, Gabriele Baldoni, Johann M. Márquez-Barja, Peter Hellinckx, Steven Latré

Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

Enhancement of road weather services using vehicle sensor data.

Toon Bogaerts, Sylvain Watelet, Chris Thoen, Tom Coopman, Joris Van den Bergh, Maarten Reyniers, Dirck Seynaeve, Wim Casteels, Steven Latré, Peter Hellinckx

Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

On-device Deep Learning Location Category Inference Model.

Gadzhi Musaev, Kevin Mets, Rokas Tamosiunas, Vadim Uvarov, Tom De Schepper, Peter Hellinckx

Proceedings of the Artificial Intelligence and Machine Learning, 2022

Rail Vehicle Detection Enabling Adaptive Device Free Crowd Size Estimation in Subway Stations.

Robin Janssens, Rafael Berkvens, Peter Hellinckx, Stijn Denis

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2022

Autonomous Navigation Using Model-Based Reinforcement Learning.

Siemen Herremans, Jens de Hoog, Simon Vanneste, Dieter Balemans, Ali Anwar, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2022

Improving Context-Aware Synthesis and Placement of Object Instances.

Jens Duym, Ali Anwar, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2022

2021

ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs.

Paola Soto, Miguel Camelo, Kevin Mets, Francesc Wilhelmi, David Góez, Luis Alejandro Fletscher, Natalia Gaviria, Peter Hellinckx, Juan Felipe Botero, Steven Latré

Sensors, 2021

Vehicular Communication Management Framework: A Flexible Hybrid Connectivity Platform for CCAM Services.

Dries Naudts, Vasilis Maglogiannis, Seilendria A. Hadiwardoyo, Daniel van den Akker, Simon Vanneste, Siegfried Mercelis, Peter Hellinckx, Bart Lannoo, Johann Márquez-Barja, Ingrid Moerman

Future Internet, 2021

A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark.

Thomas Cassimon, Reinout Eyckerman, Siegfried Mercelis, Steven Latré, Peter Hellinckx

CoRR, 2021

Predicting LiDAR Data From Sonar Images.

Niels Balemans, Peter Hellinckx, Jan Steckel

IEEE Access, 2021

Towards Autonomous VNF Auto-scaling using Deep Reinforcement Learning.

Paola Soto, Danny De Vleeschauwer, Miguel Camelo, Yorick De Bock, Koen De Schepper, Chia-Yu Chang, Peter Hellinckx, Juan Felipe Botero, Steven Latré

Proceedings of the Eighth International Conference on Software Defined Systems, 2021

Low Cost Player Tracking in Field Hockey.

Henrique Duarte Moura, Leonid Kholkine, Laurens Van Damme, Kevin Mets, Christiaan Leysen, Tom De Schepper, Peter Hellinckx, Steven Latré

Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2021

Supply temperature control of a heating network with reinforcement learning.

Sara Ghane, Stef Jacobs, Wim Casteels, Christian Brembilla, Siegfried Mercelis, Steven Latré, Ivan Verhaert, Peter Hellinckx

Proceedings of the IEEE International Smart Cities Conference, 2021

S2L-SLAM: Sensor Fusion Driven SLAM using Sonar, LiDAR and Deep Neural Networks.

Niels Balemans, Peter Hellinckx, Steven Latré, Philippe Reiter, Jan Steckel

Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021

FF-GAT: Feature Fusion Using Graph Attention Networks.

Ahmed N. Ahmed, Ali Anwar, Siegfried Mercelis, Steven Latré, Peter Hellinckx

Proceedings of the IECON 2021, 2021

A Generalized Approach For Practical Task Allocation Using A MAPE-K Control Loop.

Reinout Eyckerman, Philippe Reiter, Siegfried Mercelis, Steven Latré, Johann Márquez-Barja, Peter Hellinckx

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Enabling cross-border tele-operated transport in the 5G Era: The 5G Blueprint approach.

Johann Márquez-Barja, Seilendria A. Hadiwardoyo, Vasilis Maglogiannis, Dries Naudts, Ingrid Moerman, Peter Hellinckx, Sofie Verbrugge, Simon Delaere, Wim Vandenberghe, Eric Kenis, Maria Chiara Campodonico, Rakshith Kusumakar, Job Meines, Joost Vandenbossche

Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

Task Independent Capsule-Based Agents for Deep Q-Learning.

Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré

Proceedings of the Artificial Intelligence and Machine Learning, 2021

Object Detection with Semi-supervised Adversarial Domain Adaptation for Real-Time Edge Devices.

Mattias Billast, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré

Proceedings of the Artificial Intelligence and Machine Learning, 2021

Mixed Cooperative-Competitive Communication Using Multi-agent Reinforcement Learning.

Astrid Vanneste, Wesley Van Wijnsberghe, Simon Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2021

Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System.

Simon Vanneste, Gauthier de Borrekens, Stig Bosmans, Astrid Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2021

Transfer Learning in Autonomous Driving Using Real-World Samples.

Arne Troch, Jens de Hoog, Simon Vanneste, Dieter Balemans, Steven Latré, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2021

Autonomous Building Control Using Offline Reinforcement Learning.

Jorren Schepers, Reinout Eyckerman, Furkan Elmaz, Wim Casteels, Steven Latré, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2021

Quality-Aware Compression of Point Clouds with Google Draco.

Jens de Hoog, Ahmed N. Ahmed, Ali Anwar, Steven Latré, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2021

Lane Marking Detection Techniques for Autonomous Driving.

Ahmed N. Ahmed, Ali Anwar, Sven Eckelmann, Toralf Trautmann, Steven Latré, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2021

2020

A hybrid timing analysis method based on the isolation of software code block.

Haoxuan Li, Paul De Meulenaere, Ken Vanherpen, Siegfried Mercelis, Peter Hellinckx

Internet Things, 2020

DUST Initializr - Graph-based platform for designing modules and applications in the revised DUST framework.

Thomas Huybrechts, Reinout Eyckerman, Raf Van den Langenbergh, Simon Vanneste, Siegfried Mercelis, Peter Hellinckx

Internet Things, 2020

Online reverse engineering of CAN data.

Jens de Hoog, Toon Bogaerts, Wim Casteels, Siegfried Mercelis, Peter Hellinckx

Internet Things, 2020

Requirements for distributed task placement in the fog.

Reinout Eyckerman, Siegfried Mercelis, Johann Márquez-Barja, Peter Hellinckx

Internet Things, 2020

Designing resource-constrained neural networks using neural architecture search targeting embedded devices.

Thomas Cassimon, Simon Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx

Internet Things, 2020

Real-time virtualization with Xvisor.

Yorick De Bock, Siegfried Mercelis, Jan Broeckhove, Peter Hellinckx

Internet Things, 2020

Resource efficient sensor fusion by knowledge-based network pruning.

Dieter Balemans, Wim Casteels, Simon Vanneste, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx

Internet Things, 2020

Exploiting non-i.i.d. data towards more robust machine learning algorithms.

Wim Casteels, Peter Hellinckx

CoRR, 2020

Learning to Communicate Using Counterfactual Reasoning.

Simon Vanneste, Astrid Vanneste, Siegfried Mercelis, Peter Hellinckx

CoRR, 2020

Towards Detection of Road Weather Conditions using Large-Scale Vehicle Fleets.

Siegfried Mercelis, Sylvain Watelet, Wim Casteels, Toon Bogaerts, Joris Van den Bergh, Maarten Reyniers, Peter Hellinckx

Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Component-based Timing Analysis for Embedded Software Components in Cyber-Physical Systems.

Haoxuan Li, Ken Vanherpen, Peter Hellinckx, Siegfried Mercelis, Paul De Meulenaere

Proceedings of the 9th Mediterranean Conference on Embedded Computing, 2020

Adaptivity in Distributed Agent-Based Simulation: A Generic Load-Balancing Approach.

Stig Bosmans, Toon Bogaerts, Wim Casteels, Siegfried Mercelis, Joachim Denil, Peter Hellinckx

Proceedings of the Multi-Agent-Based Simulation XXI - 21st International Workshop, 2020

Evaluation of Objective Function Descriptions And Optimization Methodologies For Task Allocation In A Dynamic Fog Environment.

Reinout Eyckerman, Siegfried Mercelis, Johann Márquez-Barja, Peter Hellinckx

Proceedings of the 7th International Conference on Internet of Things: Systems, 2020

A Survey on the Software and Hardware-Based Influences on the Worst-Case Execution Time.

Thomas Huybrechts, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2020

Towards the Generalization of Distributed Software Communication.

Reinout Eyckerman, Thomas Huybrechts, Raf Van den Langenbergh, Wim Casteels, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2020

Intelligent Data Sharing in Digital Twins: Positioning Paper.

Thomas Cassimon, Jens de Hoog, Ali Anwar, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2020

Applying Artificial Intelligence for the Detection and Analysis of Weather Phenomena in Vehicle Sensor Data.

Wouter Van den Bogaert, Toon Bogaerts, Wim Casteels, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2020

Towards Hybrid Camera Sensor Simulation for Autonomous Vehicles.

Dieter Balemans, Yves De Boeck, Jens de Hoog, Ali Anwar, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2020

Lane Marking Detection Using LiDAR Sensor.

Ahmed N. Ahmed, Sven Eckelmann, Ali Anwar, Toralf Trautmann, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2020

2019

Impact of software architecture on execution time: a power window TACLeBench case study.

Haoxuan Li, Paul De Meulenaere, Siegfried Mercelis, Peter Hellinckx

Int. J. Grid Util. Comput., 2019

COBRA-HPA: a block generating tool to perform hybrid program analysis.

Thomas Huybrechts, Yorick De Bock, Haoxuan Li, Peter Hellinckx

Int. J. Grid Util. Comput., 2019

Cost-aware hybrid cloud scheduling of parameter sweep calculations using predictive algorithms.

Stig Bosmans, Glenn Maricaux, Filip Van der Schueren, Peter Hellinckx

Int. J. Grid Util. Comput., 2019

Distributed Uniform Streaming Framework: An Elastic Fog Computing Platform for Event Stream Processing and Platform Transparency.

Simon Vanneste, Jens de Hoog, Thomas Huybrechts, Stig Bosmans, Reinout Eyckerman, Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx

Future Internet, 2019

Towards a distributed real-time hybrid simulator for autonomous vehicles.

Jens de Hoog, Arthur Janssens, Siegfried Mercelis, Peter Hellinckx

Computing, 2019

Testing IoT systems using a hybrid simulation based testing approach.

Stig Bosmans, Siegfried Mercelis, Joachim Denil, Peter Hellinckx

Computing, 2019

Enhancing Students' Learning Experience via Low-Cost Network Laboratories.

Nina Slamnik-Krijestorac, Stig Bosmans, Peter Hellinckx, Johann M. Márquez-Barja

IEEE Commun. Mag., 2019

Reducing Computational Cost Of Large-Scale Simulations Using Opportunistic Model Approximation.

Stig Bosmans, Siegfried Mercelis, Peter Hellinckx, Joachim Denil

Proceedings of the 2019 Spring Simulation Conference, 2019

Improving Machine Learning-Based Decision-Making Through Inclusion of Data Quality.

Jens de Hoog, Siegfried Mercelis, Peter Hellinckx

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Learning to Communicate with Multi-agent Reinforcement Learning Using Value-Decomposition Networks.

Simon Vanneste, Astrid Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

DUST Initializr - CAD Drawing Platform for Designing Modules and Applications in the DUST Framework.

Thomas Huybrechts, Simon Vanneste, Reinout Eyckerman, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

Online Reverse Engineering of CAN Data.

Jens de Hoog, Nick Castermans, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

Distributed Task Placement in the Fog: A Positioning Paper.

Reinout Eyckerman, Siegfried Mercelis, Johann Márquez-Barja, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

Using Neural Architecture Search to Optimize Neural Networks for Embedded Devices.

Thomas Cassimon, Simon Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

LiDAR and Camera Sensor Fusion for 2D and 3D Object Detection.

Dieter Balemans, Simon Vanneste, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

2018

Task-set generator for schedulability analysis using the TACLebench benchmark suite.

Yorick De Bock, Sebastian Altmeyer, Thomas Huybrechts, Jan Broeckhove, Peter Hellinckx

SIGBED Rev., 2018

Towards evaluating emergent behavior of the Internet of Things using large scale simulation techniques.

Stig Bosmans, Siegfried Mercelis, Peter Hellinckx, Joachim Denil

CoRR, 2018

A New Hybrid Approach on WCET Analysis for Real-Time Systems Using Machine Learning.

Thomas Huybrechts, Siegfried Mercelis, Peter Hellinckx

Proceedings of the 18th International Workshop on Worst-Case Execution Time Analysis, 2018

Towards evaluating emergent behavior of the internet of things using large scale simulation techniques (wip).

Stig Bosmans, Siegfried Mercelis, Peter Hellinckx, Joachim Denil

Proceedings of the Theory of Modeling and Simulation Symposium, 2018

A particle Swarm Optimization-based Heuristic for Optimal Cost Estimation in Internet of Things Environment.

Muddsair Sharif, Siegfried Mercelis, Johann Márquez-Barja, Peter Hellinckx

Proceedings of the 2018 2nd International Conference on Big Data and Internet of Things, 2018

IT in Road Construction: Recommendations for the Development of Production, Transport and Paving Data Storage in the Flemish Region.

Muddsair Sharif, Geert Jacobs, Wim Van Den Bergh, Peter Hellinckx

Proceedings of the 2018 2nd International Conference on Big Data and Internet of Things, 2018

Distributed Uniform Streaming Framework: Towards an Elastic Fog Computing Platform for Event Stream Processing.

Simon Vanneste, Jens de Hoog, Thomas Huybrechts, Stig Bosmans, Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, 2018

Introduction of Deep Neural Network in Hybrid WCET Analysis.

Thomas Huybrechts, Thomas Cassimon, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, 2018

Towards a Scalable Distributed Real-Time Hybrid Simulator for Autonomous Vehicles.

Jens de Hoog, Manu Pepermans, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, 2018

A Model for Data Enrichment over IoT Streams at Edges of Internet.

Reinout Van Hille, Fatos Xhafa, Peter Hellinckx

Proceedings of the Advances on P2P, 2018

Context-Aware Distribution In Constrained IoT Environments.

Reinout Eyckerman, Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, 2018

Challenges of Modeling and Simulating Internet of Things Systems.

Stig Bosmans, Siegfried Mercelis, Joachim Denil, Peter Hellinckx

Proceedings of the Advances on P2P, 2018

2017

Towards Real-time Smart Road Construction: Efficient Process Management through the Implementation of Internet of Things.

Muddsair Sharif, Siegfried Mercelis, Wim Van Den Bergh, Peter Hellinckx

Proceedings of the International Conference on Big Data and Internet of Things, 2017

Context-Aware Optimization of Distributed Resources in Internet of Things Using Key Performance Indicators.

Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, 2017

Cost and Energy Efficient Indoor and Outdoor Localization of Rail Cars in a Confined Maintenance Site.

Frédéric Melaerts, Siegfried Mercelis, Marc Ceulemans, Peter Hellinckx

Proceedings of the Advances on P2P, 2017

Automatic Reverse Engineering of CAN Bus Data Using Machine Learning Techniques.

Thomas Huybrechts, Yon Vanommeslaeghe, Dries Blontrock, Gregory Van Barel, Peter Hellinckx

Proceedings of the Advances on P2P, 2017

Acsim: Towards Hyper-scalable Internet of Things Simulation.

Stig Bosmans, Siegfried Mercelis, Marc Ceulemans, Joachim Denil, Peter Hellinckx

Proceedings of the Advances on P2P, 2017

2016

TACLeBench: A Benchmark Collection to Support Worst-Case Execution Time Research.

Heiko Falk, Sebastian Altmeyer, Peter Hellinckx, Björn Lisper, Wolfgang Puffitsch, Christine Rochange, Martin Schoeberl, Rasmus Bo Sørensen, Peter Wägemann, Simon Wegener

Proceedings of the 16th International Workshop on Worst-Case Execution Time Analysis, 2016

Task-Set Generator for Schedulability Analysis using the TACLeBench benchmark suite.

Yorick De Bock, Sebastian Altmeyer, Jan Broeckhove, Peter Hellinckx

Proceedings of the Embedded Operating Systems Workshop co-located with the Embedded Systems Week (ESWEEK 2016), 2016

Powerwindow: a Multi-component TACLeBench Benchmark for Timing Analysis.

Haoxuan Li, Paul De Meulenaere, Peter Hellinckx

Proceedings of the Advances on P2P, 2016

Hybrid Approach on Cache Aware Real-Time Scheduling for Multi-Core Systems.

Thomas Huybrechts, Yorick De Bock, Haoxuan Li, Peter Hellinckx

Proceedings of the Advances on P2P, 2016

2015

Hierarchical Real-Time Multi-core Scheduling through Virtualization: A Survey.

Yorick De Bock, Jan Broeckhove, Peter Hellinckx

Proceedings of the 10th International Conference on P2P, 2015

2014

DDoS defense system for web services in a cloud environment.

Thomas Vissers, Thamarai Selvi Somasundaram, Luc Pieters, Kannan Govindarajan, Peter Hellinckx

Future Gener. Comput. Syst., 2014

2013

Survey of the DASH7 Alliance Protocol for 433 MHz Wireless Sensor Communication.

Maarten Weyn, Glenn Ergeerts, Luc Wante, Charles Vercauteren, Peter Hellinckx

Int. J. Distributed Sens. Networks, 2013

Model Driven Engineering for Building Automation, a Research Agenda.

Philip Luyckx, Peter Hellinckx, Hans Vangheluwe

Proceedings of the Eighth International Conference on P2P, 2013

Taxonomy of Real-Time Hypervisors.

Nills Franssens, Jan Broeckhove, Peter Hellinckx

Proceedings of the Eighth International Conference on P2P, 2013

2012

Modeling Resource Prices in Grid Markets.

Ramadan Arfa, Peter Hellinckx, Jan Broeckhove

Proceedings of the 2012 Seventh International Conference on P2P, 2012

2009

Runtime Prediction in Desktop Grid Scheduling.

Peter Hellinckx, Sam Verboven, Frans Arickx, Jan Broeckhove

Proceedings of the Parallel Programming, Models and Applications in Grid and P2P Systems., 2009

Predicting Parameter Sweep Jobs: From Simulation to Grid Implementation.

Peter Hellinckx, Sam Verboven, Frans Arickx, Jan Broeckhove

Proceedings of the 2009 International Conference on Complex, 2009

2008

De evolutie naar desktop grids, problemen en oplossingen

Peter Hellinckx

PhD thesis, 2008

Dynamic Grid Scheduling Using Job Runtime Requirements and Variable Resource Availability.

Sam Verboven, Peter Hellinckx, Jan Broeckhove, Frans Arickx

Proceedings of the Euro-Par 2008, 2008

Runtime Prediction Based Grid Scheduling of Parameter Sweep Jobs.

Sam Verboven, Peter Hellinckx, Frans Arickx, Jan Broeckhove

Proceedings of the 3rd IEEE Asia-Pacific Services Computing Conference, 2008

2007

The CoBRA grid: a highly configurable lightweight grid.

Peter Hellinckx, Frans Arickx, Jan Broeckhove, Gunther Stuer

Int. J. Web Grid Serv., 2007

2006

Grid-User Driven Grid Research, The CoBRA Grid.

Peter Hellinckx, Gunther Stuer, Wouter Hendrickx, Frans Arickx, Jan Broeckhove

Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2006), 2006

2005

User Experiences with Nuclear Physics Calculations on a H2O Metacomputing System and on the BEgrid.

Peter Hellinckx, Kurt Vanmechelen, Gunther Stuer, Frans Arickx, Jan Broeckhove

Proceedings of the Computational Science, 2005

2004

A performance analysis framework for reso urce scavenging systems.

David Dewolfs, Gunther Stuer, Frederic Hancke, Peter Hellinckx, Jan Broeckhove, Frans Arickx, Tom Dhaene

Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks, 2004