Siegfried Mercelis

Orcid: 0000-0001-9355-6566

According to our database1, Siegfried Mercelis authored at least 74 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Deep Learning Model Compression for Resource Efficient Activity Recognition on Edge Devices: A Case Study.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023
SI-M/O: Swarm Intelligence-based Modeling and Optimization of complex synthesis reaction processes.
Comput. Chem. Eng., November, 2023

Hybrid modelling of a batch separation process.
Comput. Chem. Eng., September, 2023

Reinforcement learning-based approach for optimizing solvent-switch processes.
Comput. Chem. Eng., August, 2023

Autonomous Port Navigation With Ranging Sensors Using Model-Based Reinforcement Learning.
CoRR, 2023

SeaDSC: A video-based unsupervised method for dynamic scene change detection in unmanned surface vehicles.
CoRR, 2023

An In-Depth Analysis of Discretization Methods for Communication Learning using Backpropagation with Multi-Agent Reinforcement Learning.
CoRR, 2023

Scalability of Message Encoding Techniques for Continuous Communication Learned with Multi-Agent Reinforcement Learning.
CoRR, 2023

Attention Based Feature Fusion For Multi-Agent Collaborative Perception.
CoRR, 2023

Metamodelling of Noise to Image Classification Performance.
IEEE Access, 2023

An Energy Management Unit for Predictive Solar Energy Harvesting IoT.
Proceedings of the 8th International Conference on Internet of Things, 2023

R2L-SLAM: Sensor Fusion-Driven SLAM Using mmWave Radar, LiDAR and Deep Neural Networks.
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

Solving the Storage Location Assignment Problem Using Reinforcement Learning.
Proceedings of the 8th International Conference on Mathematics and Artificial Intelligence, 2023


2022
Adaptivity in multi-level traffic simulation using experimental frames.
Simul. Model. Pract. Theory, 2022

An Analysis of Discretization Methods for Communication Learning with Multi-Agent Reinforcement Learning.
CoRR, 2022

A Joint Perception Scheme For Connected Vehicles.
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.
Proceedings of the IECON 2022, 2022

Reinforcement learning based mass flow and supply temperature control for combined heat distribution.
Proceedings of the IECON 2022, 2022

Transfer Learning-based Hybrid Modeling Approach for Indoor Temperature Modeling.
Proceedings of the IECON 2022, 2022

Autonomous Navigation Using Model-Based Reinforcement Learning.
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2022

Improving Context-Aware Synthesis and Placement of Object Instances.
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2022

2021
Vehicular Communication Management Framework: A Flexible Hybrid Connectivity Platform for CCAM Services.
Future Internet, 2021

A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark.
CoRR, 2021

Supply temperature control of a heating network with reinforcement learning.
Proceedings of the IEEE International Smart Cities Conference, 2021

FF-GAT: Feature Fusion Using Graph Attention Networks.
Proceedings of the IECON 2021, 2021

A Generalized Approach For Practical Task Allocation Using A MAPE-K Control Loop.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Mixed Cooperative-Competitive Communication Using Multi-agent Reinforcement Learning.
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.
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.
Internet Things, 2020

DUST Initializr - Graph-based platform for designing modules and applications in the revised DUST framework.
Internet Things, 2020

Online reverse engineering of CAN data.
Internet Things, 2020

Requirements for distributed task placement in the fog.
Internet Things, 2020

Designing resource-constrained neural networks using neural architecture search targeting embedded devices.
Internet Things, 2020

Real-time virtualization with Xvisor.
Internet Things, 2020

Resource efficient sensor fusion by knowledge-based network pruning.
Internet Things, 2020

Learning to Communicate Using Counterfactual Reasoning.
CoRR, 2020

Towards Detection of Road Weather Conditions using Large-Scale Vehicle Fleets.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Component-based Timing Analysis for Embedded Software Components in Cyber-Physical Systems.
Proceedings of the 9th Mediterranean Conference on Embedded Computing, 2020

Adaptivity in Distributed Agent-Based Simulation: A Generic Load-Balancing Approach.
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.
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.
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2020

Towards the Generalization of Distributed Software Communication.
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2020

Intelligent Data Sharing in Digital Twins: Positioning Paper.
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.
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2020

Towards Hybrid Camera Sensor Simulation for Autonomous Vehicles.
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.
Int. J. Grid Util. Comput., 2019

Distributed Uniform Streaming Framework: An Elastic Fog Computing Platform for Event Stream Processing and Platform Transparency.
Future Internet, 2019

Towards a distributed real-time hybrid simulator for autonomous vehicles.
Computing, 2019

Testing IoT systems using a hybrid simulation based testing approach.
Computing, 2019

Reducing Computational Cost Of Large-Scale Simulations Using Opportunistic Model Approximation.
Proceedings of the 2019 Spring Simulation Conference, 2019

Improving Machine Learning-Based Decision-Making Through Inclusion of Data Quality.
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.
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.
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

Online Reverse Engineering of CAN Data.
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

Distributed Task Placement in the Fog: A Positioning Paper.
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

Using Neural Architecture Search to Optimize Neural Networks for Embedded Devices.
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

LiDAR and Camera Sensor Fusion for 2D and 3D Object Detection.
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

2018
Towards evaluating emergent behavior of the Internet of Things using large scale simulation techniques.
CoRR, 2018

A New Hybrid Approach on WCET Analysis for Real-Time Systems Using Machine Learning.
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).
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.
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.
Proceedings of the Advances on P2P, 2018

Introduction of Deep Neural Network in Hybrid WCET Analysis.
Proceedings of the Advances on P2P, 2018

Towards a Scalable Distributed Real-Time Hybrid Simulator for Autonomous Vehicles.
Proceedings of the Advances on P2P, 2018

Context-Aware Distribution In Constrained IoT Environments.
Proceedings of the Advances on P2P, 2018

Challenges of Modeling and Simulating Internet of Things Systems.
Proceedings of the Advances on P2P, 2018

Contact Detection for Social Networking of Small Animals.
Proceedings of the Advances on P2P, 2018

2017
Towards Real-time Smart Road Construction: Efficient Process Management through the Implementation of Internet of Things.
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.
Proceedings of the Advances on P2P, 2017

Cost and Energy Efficient Indoor and Outdoor Localization of Rail Cars in a Confined Maintenance Site.
Proceedings of the Advances on P2P, 2017

Acsim: Towards Hyper-scalable Internet of Things Simulation.
Proceedings of the Advances on P2P, 2017

2016
A systematic multi-layered approach for optimizing and parallelizing real-time media and audio applications
PhD thesis, 2016

2013
An Initial Investigation of a Multi-layered Approach for Optimizing and Parallelizing Real-Time Media and Audio Applications.
Proceedings of the Eighth International Conference on P2P, 2013


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