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ORCIDSiegfried Mercelis
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2020 – today
- 2024
[j19]Ahmed N. Ahmed
, Siegfried Mercelis, Ali Anwar:
CollabGAT: Collaborative Perception Using Graph Attention Network. IEEE Access 12: 142380-142393 (2024)- [j18]Niels Balemans, Ali Anwar, Jan Steckel, Siegfried Mercelis:
LiDAR-BIND: Multi-Modal Sensor Fusion Through Shared Latent Embeddings. IEEE Robotics Autom. Lett. 9(11): 9159-9166 (2024) - [c53]Mohammadmahdi Rahimiasl, Ynte Vanderhoydonc, Siegfried Mercelis:
Enhancing public transport systems through scalable real-time forecasting solutions for the case study of Rennes *. CoDIT 2024: 2504-2509 - [c52]Jens de Hoog, Ali Anwar, Peter Hellinckx, Siegfried Mercelis:
Selection of image classifiers for noisy images through metalearning. ICMVA 2024: 92-99 - [c51]Ahmed N. Ahmed, Siegfried Mercelis, Ali Anwar:
Graph Attention Based Feature Fusion For Collaborative Perception. IV 2024: 2317-2324 - [c50]Alexander Michielsen, Mohammadmahdi Rahimiasl, Ynte Vanderhoydonc, Siegfried Mercelis:
History-Based Road Traffic Anomaly Detection Using Deep Learning and Real-World Data. VEHITS 2024: 249-256 - [c49]Dieter Balemans, Benjamin Vandersmissen, Jan Steckel, Siegfried Mercelis, Philippe Reiter, José Oramas:
Deep Learning Model Compression for Resource Efficient Activity Recognition on Edge Devices: A Case Study. VISIGRAPP (4): VISAPP 2024: 575-584 - [c48]Linh Trinh, Ali Anwar, Siegfried Mercelis:
SeaDSC: A Video-Based Unsupervised Method for Dynamic Scene Change Detection in Unmanned Surface Vehicles. WACV (Workshops) 2024: 840-847 - [i22]Siemen Herremans, Ali Anwar, Siegfried Mercelis:
Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Model. CoRR abs/2406.09976 (2024) - [i21]Linh Trinh, Ali Anwar, Siegfried Mercelis:
Multiple data sources and domain generalization learning method for road surface defect classification. CoRR abs/2407.10197 (2024) - [i20]Linh Trinh, Ali Anwar, Siegfried Mercelis:
Data selection method for assessment of autonomous vehicles. CoRR abs/2407.12065 (2024) - [i19]Linh Trinh, Ali Anwar, Siegfried Mercelis:
Improving classification of road surface conditions via road area extraction and contrastive learning. CoRR abs/2407.14418 (2024) - [i18]Amber Cassimon, Siegfried Mercelis, Kevin Mets:
Scalable Reinforcement Learning-based Neural Architecture Search. CoRR abs/2410.01431 (2024) - [i17]Amber Cassimon, Phil Reiter, Siegfried Mercelis, Kevin Mets:
Designing a Classifier for Active Fire Detection from Multispectral Satellite Imagery Using Neural Architecture Search. CoRR abs/2410.05425 (2024) - [i16]Bavo Lesy, Ali Anwar, Siegfried Mercelis:
Evaluating Robustness of Reinforcement Learning Algorithms for Autonomous Shipping. CoRR abs/2411.04915 (2024) - [i15]Amber Cassimon, Siegfried Mercelis, Kevin Mets:
Task Adaptation of Reinforcement Learning-based NAS Agents through Transfer Learning. CoRR abs/2412.01420 (2024) - [i14]Linh Trinh, Siegfried Mercelis, Ali Anwar:
A comprehensive review of datasets and deep learning techniques for vision in Unmanned Surface Vehicles. CoRR abs/2412.01461 (2024) - 2023
- [j17]Jens de Hoog, Ali Anwar, Philippe Reiter, Siegfried Mercelis, Peter Hellinckx:
Metamodelling of Noise to Image Classification Performance. IEEE Access 11: 47994-48006 (2023) - [j16]Furkan Elmaz, Ulderico Di Caprio, Min Wu, Yentl Wouters, Geert Van Der Vorst, Niels Vandervoort, Ali Anwar, Mumin Enis Leblebici, Peter Hellinckx, Siegfried Mercelis:
Reinforcement learning-based approach for optimizing solvent-switch processes. Comput. Chem. Eng. 176: 108310 (2023) - [j15]Ulderico Di Caprio, Min Wu, Furkan Elmaz, Yentl Wouters, Niels Vandervoort, Ali Anwar, Siegfried Mercelis, Steffen Waldherr, Peter Hellinckx, Mumin Enis Leblebici:
Hybrid modelling of a batch separation process. Comput. Chem. Eng. 177: 108319 (2023) - [j14]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:
SI-M/O: Swarm Intelligence-based Modeling and Optimization of complex synthesis reaction processes. Comput. Chem. Eng. 179: 108431 (2023) - [c47]Simon Vanneste, Astrid Vanneste, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx, Kevin Mets:
Multi-Agent Counterfactual Communication Using Difference Rewards Policy Gradients. BNAIC/BENELEARN 2023: 82-100 - [c46]Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Ali Anwar, Hao Chen, Xiaozhi Chen, Kai Cheng, Yuchao Dai, Huynh Thai Hoa, Sadat Hossain, Jianmian Huang, Mohan Jing, Bo Li, Chao Li, Baojun Li, Zhiwen Liu, Stefano Mattoccia, Siegfried Mercelis, Myungwoo Nam, Matteo Poggi, Xiaohua Qi, Jiahui Ren, Yang Tang, Fabio Tosi, Linh Trinh, S. M. Nadim Uddin, Khan Muhammad Umair, Kaixuan Wang, Yufei Wang, Yixing Wang, Mochu Xiang, Guangkai Xu, Wei Yin, Jun Yu, Qi Zhang, Chaoqiang Zhao:
The Second Monocular Depth Estimation Challenge. CVPR Workshops 2023: 3064-3076 - [c45]Arne Troch, Erik Mannens, Siegfried Mercelis:
Solving the Storage Location Assignment Problem Using Reinforcement Learning. ICMAI 2023: 89-95 - [c44]Niels Balemans, Lucas Hooft, Philippe Reiter, Ali Anwar, Jan Steckel, Siegfried Mercelis:
R2L-SLAM: Sensor Fusion-Driven SLAM Using mmWave Radar, LiDAR and Deep Neural Networks. SENSORS 2023: 1-4 - [c43]Justus Rajappa Anuj, Adnan Sabovic, Burcu Celikkol, Michiel Aernouts, Philippe Reiter, Siegfried Mercelis, Peter Hellinckx, Jeroen Famaey:
An Energy Management Unit for Predictive Solar Energy Harvesting IoT. IoTBDS 2023: 39-50 - [i13]Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Ali Anwar, Hao Chen, Xiaozhi Chen, Kai Cheng, Yuchao Dai, Huynh Thai Hoa, Sadat Hossain, Jianmian Huang, Mohan Jing, Bo Li, Chao Li, Baojun Li, Zhiwen Liu, Stefano Mattoccia, Siegfried Mercelis, Myungwoo Nam, Matteo Poggi, Xiaohua Qi, Jiahui Ren, Yang Tang, Fabio Tosi, Linh Trinh, S. M. Nadim Uddin, Khan Muhammad Umair, Kaixuan Wang, Yufei Wang, Yixing Wang, Mochu Xiang, Guangkai Xu, Wei Yin, Jun Yu, Qi Zhang, Chaoqiang Zhao:
The Second Monocular Depth Estimation Challenge. CoRR abs/2304.07051 (2023) - [i12]Ahmed N. Ahmed, Siegfried Mercelis, Ali Anwar:
Attention Based Feature Fusion For Multi-Agent Collaborative Perception. CoRR abs/2305.02061 (2023) - [i11]Astrid Vanneste, Thomas Somers, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx:
Scalability of Message Encoding Techniques for Continuous Communication Learned with Multi-Agent Reinforcement Learning. CoRR abs/2308.04844 (2023) - [i10]Astrid Vanneste, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx:
An In-Depth Analysis of Discretization Methods for Communication Learning using Backpropagation with Multi-Agent Reinforcement Learning. CoRR abs/2308.04938 (2023) - [i9]Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Robin Janssens, Mattias Billast, Ali Anwar, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx:
Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways. CoRR abs/2311.09878 (2023) - [i8]Linh Trinh, Ali Anwar, Siegfried Mercelis:
SeaDSC: A video-based unsupervised method for dynamic scene change detection in unmanned surface vehicles. CoRR abs/2311.11580 (2023) - [i7]Siemen Herremans, Ali Anwar, Arne Troch, Ian Ravijts, Maarten Vangeneugden, Siegfried Mercelis, Peter Hellinckx:
Autonomous Port Navigation With Ranging Sensors Using Model-Based Reinforcement Learning. CoRR abs/2312.05257 (2023) - 2022
- [j13]Stig Bosmans, Toon Bogaerts, Wim Casteels, Siegfried Mercelis, Joachim Denil, Peter Hellinckx:
Adaptivity in multi-level traffic simulation using experimental frames. Simul. Model. Pract. Theory 114: 102395 (2022) - [c42]Siemen Herremans, Jens de Hoog, Simon Vanneste, Dieter Balemans, Ali Anwar, Siegfried Mercelis, Peter Hellinckx:
Autonomous Navigation Using Model-Based Reinforcement Learning. 3PGCIC 2022: 268-277 - [c41]Jens Duym, Ali Anwar, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx:
Improving Context-Aware Synthesis and Placement of Object Instances. 3PGCIC 2022: 288-296 - [c40]Furkan Elmaz, Sara Ghane, Thomas Huybrechts, Ali Anwar, Siegfried Mercelis, Peter Hellinckx:
Transfer Learning-based Hybrid Modeling Approach for Indoor Temperature Modeling. IECON 2022: 1-6 - [c39]Stef Jacobs, Sara Ghane, Ali Anwar, Siegfried Mercelis, Peter Hellinckx, Ivan Verhaert:
Reinforcement learning based mass flow and supply temperature control for combined heat distribution. IECON 2022: 1-6 - [c38]Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Robin Janssens, Mattias Billast, Ali Anwar, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx:
Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways. IECON 2022: 1-6 - [c37]Ahmed N. Ahmed, Ian Ravijts, Jens de Hoog, Ali Anwar, Siegfried Mercelis, Peter Hellinckx:
A Joint Perception Scheme For Connected Vehicles. IEEE SENSORS 2022: 1-4 - [i6]Astrid Vanneste, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Steven Latré, Peter Hellinckx:
An Analysis of Discretization Methods for Communication Learning with Multi-Agent Reinforcement Learning. CoRR abs/2204.05669 (2022) - 2021
- [j12]Dries Naudts, Vasilis Maglogiannis, Seilendria A. Hadiwardoyo, Daniel van den Akker, Simon Vanneste, Siegfried Mercelis, Peter Hellinckx, Bart Lannoo, Johann Márquez-Barja, Ingrid Moerman:
Vehicular Communication Management Framework: A Flexible Hybrid Connectivity Platform for CCAM Services. Future Internet 13(3): 81 (2021) - [c36]Astrid Vanneste, Wesley Van Wijnsberghe, Simon Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx:
Mixed Cooperative-Competitive Communication Using Multi-agent Reinforcement Learning. 3PGCIC 2021: 197-206 - [c35]Simon Vanneste, Gauthier de Borrekens, Stig Bosmans, Astrid Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx:
Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System. 3PGCIC 2021: 207-216 - [c34]Reinout Eyckerman, Philippe Reiter, Siegfried Mercelis, Steven Latré, Johann Márquez-Barja, Peter Hellinckx:
A Generalized Approach For Practical Task Allocation Using A MAPE-K Control Loop. ICTC 2021: 779-784 - [c33]Ahmed N. Ahmed, Ali Anwar, Siegfried Mercelis, Steven Latré, Peter Hellinckx:
FF-GAT: Feature Fusion Using Graph Attention Networks. IECON 2021: 1-6 - [c32]Sara Ghane, Stef Jacobs, Wim Casteels, Christian Brembilla, Siegfried Mercelis, Steven Latré, Ivan Verhaert, Peter Hellinckx:
Supply temperature control of a heating network with reinforcement learning. ISC2 2021: 1-7 - [i5]Thomas Cassimon, Reinout Eyckerman, Siegfried Mercelis, Steven Latré, Peter Hellinckx:
A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark. CoRR abs/2110.06742 (2021) - [i4]Astrid Vanneste, Wesley Van Wijnsberghe, Simon Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx:
Mixed Cooperative-Competitive Communication Using Multi-Agent Reinforcement Learning. CoRR abs/2110.15762 (2021) - [i3]Simon Vanneste, Gauthier de Borrekens, Stig Bosmans, Astrid Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx:
Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System. CoRR abs/2110.15779 (2021) - 2020
- [j11]Thomas Huybrechts, Reinout Eyckerman, Raf Van den Langenbergh, Simon Vanneste, Siegfried Mercelis, Peter Hellinckx:
DUST Initializr - Graph-based platform for designing modules and applications in the revised DUST framework. Internet Things 11: 100229 (2020) - [j10]Haoxuan Li, Paul De Meulenaere, Ken Vanherpen, Siegfried Mercelis, Peter Hellinckx:
A hybrid timing analysis method based on the isolation of software code block. Internet Things 11: 100230 (2020) - [j9]Dieter Balemans, Wim Casteels, Simon Vanneste, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx:
Resource efficient sensor fusion by knowledge-based network pruning. Internet Things 11: 100231 (2020) - [j8]Jens de Hoog, Toon Bogaerts, Wim Casteels, Siegfried Mercelis, Peter Hellinckx:
Online reverse engineering of CAN data. Internet Things 11: 100232 (2020) - [j7]Yorick De Bock, Siegfried Mercelis, Jan Broeckhove, Peter Hellinckx:
Real-time virtualization with Xvisor. Internet Things 11: 100238 (2020) - [j6]Thomas Cassimon, Simon Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx:
Designing resource-constrained neural networks using neural architecture search targeting embedded devices. Internet Things 12: 100234 (2020) - [j5]Reinout Eyckerman, Siegfried Mercelis, Johann Márquez-Barja, Peter Hellinckx:
Requirements for distributed task placement in the fog. Internet Things 12: 100237 (2020) - [c31]Reinout Eyckerman, Thomas Huybrechts, Raf Van den Langenbergh, Wim Casteels, Siegfried Mercelis, Peter Hellinckx:
Towards the Generalization of Distributed Software Communication. 3PGCIC 2020: 261-270 - [c30]Thomas Huybrechts, Siegfried Mercelis, Peter Hellinckx:
A Survey on the Software and Hardware-Based Influences on the Worst-Case Execution Time. 3PGCIC 2020: 271-281 - [c29]Thomas Cassimon, Jens de Hoog, Ali Anwar, Siegfried Mercelis, Peter Hellinckx:
Intelligent Data Sharing in Digital Twins: Positioning Paper. 3PGCIC 2020: 282-290 - [c28]Dieter Balemans, Yves De Boeck, Jens de Hoog, Ali Anwar, Siegfried Mercelis, Peter Hellinckx:
Towards Hybrid Camera Sensor Simulation for Autonomous Vehicles. 3PGCIC 2020: 291-300 - [c27]Wouter Van den Bogaert, Toon Bogaerts, Wim Casteels, Siegfried Mercelis, Peter Hellinckx:
Applying Artificial Intelligence for the Detection and Analysis of Weather Phenomena in Vehicle Sensor Data. 3PGCIC 2020: 311-320 - [c26]Reinout Eyckerman, Siegfried Mercelis, Johann Márquez-Barja, Peter Hellinckx:
Evaluation of Objective Function Descriptions And Optimization Methodologies For Task Allocation In A Dynamic Fog Environment. IoTSMS 2020: 1-8 - [c25]Stig Bosmans, Toon Bogaerts, Wim Casteels, Siegfried Mercelis, Joachim Denil, Peter Hellinckx:
Adaptivity in Distributed Agent-Based Simulation: A Generic Load-Balancing Approach. MABS 2020: 1-12 - [c24]Haoxuan Li, Ken Vanherpen, Peter Hellinckx, Siegfried Mercelis, Paul De Meulenaere:
Component-based Timing Analysis for Embedded Software Components in Cyber-Physical Systems. MECO 2020: 1-8 - [c23]Siegfried Mercelis, Sylvain Watelet, Wim Casteels, Toon Bogaerts, Joris Van den Bergh, Maarten Reyniers, Peter Hellinckx:
Towards Detection of Road Weather Conditions using Large-Scale Vehicle Fleets. VTC Spring 2020: 1-7 - [i2]Simon Vanneste, Astrid Vanneste, Siegfried Mercelis, Peter Hellinckx:
Learning to Communicate Using Counterfactual Reasoning. CoRR abs/2006.07200 (2020)
2010 – 2019
- 2019
- [j4]Stig Bosmans, Siegfried Mercelis, Joachim Denil, Peter Hellinckx:
Testing IoT systems using a hybrid simulation based testing approach. Computing 101(7): 857-872 (2019) - [j3]Jens de Hoog, Arthur Janssens, Siegfried Mercelis, Peter Hellinckx:
Towards a distributed real-time hybrid simulator for autonomous vehicles. Computing 101(7): 873-891 (2019) - [j2]Simon Vanneste, Jens de Hoog, Thomas Huybrechts, Stig Bosmans, Reinout Eyckerman, Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx:
Distributed Uniform Streaming Framework: An Elastic Fog Computing Platform for Event Stream Processing and Platform Transparency. Future Internet 11(7): 158 (2019) - [j1]Haoxuan Li, Paul De Meulenaere, Siegfried Mercelis, Peter Hellinckx:
Impact of software architecture on execution time: a power window TACLeBench case study. Int. J. Grid Util. Comput. 10(2): 132-140 (2019) - [c22]Thomas Huybrechts, Simon Vanneste, Reinout Eyckerman, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx:
DUST Initializr - CAD Drawing Platform for Designing Modules and Applications in the DUST Framework. 3PGCIC 2019: 661-670 - [c21]Reinout Eyckerman, Siegfried Mercelis, Johann Márquez-Barja, Peter Hellinckx:
Distributed Task Placement in the Fog: A Positioning Paper. 3PGCIC 2019: 671-683 - [c20]Thomas Cassimon, Simon Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx:
Using Neural Architecture Search to Optimize Neural Networks for Embedded Devices. 3PGCIC 2019: 684-693 - [c19]Simon Vanneste, Astrid Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx:
Learning to Communicate with Multi-agent Reinforcement Learning Using Value-Decomposition Networks. 3PGCIC 2019: 736-745 - [c18]Jens de Hoog, Nick Castermans, Siegfried Mercelis, Peter Hellinckx:
Online Reverse Engineering of CAN Data. 3PGCIC 2019: 776-785 - [c17]Dieter Balemans, Simon Vanneste, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx:
LiDAR and Camera Sensor Fusion for 2D and 3D Object Detection. 3PGCIC 2019: 798-807 - [c16]Jens de Hoog, Siegfried Mercelis, Peter Hellinckx:
Improving Machine Learning-Based Decision-Making Through Inclusion of Data Quality. BNAIC/BENELEARN 2019 - [c15]Stig Bosmans, Siegfried Mercelis, Peter Hellinckx, Joachim Denil:
Reducing Computational Cost Of Large-Scale Simulations Using Opportunistic Model Approximation. SpringSim 2019: 1-12 - 2018
- [c14]Rafael Berkvens, Ivan Herrera Olivares, Siegfried Mercelis, Lucinda Kirkpatrick, Maarten Weyn:
Contact Detection for Social Networking of Small Animals. 3PGCIC 2018: 405-414 - [c13]Thomas Huybrechts, Thomas Cassimon, Siegfried Mercelis, Peter Hellinckx:
Introduction of Deep Neural Network in Hybrid WCET Analysis. 3PGCIC 2018: 415-425 - [c12]Simon Vanneste, Jens de Hoog, Thomas Huybrechts, Stig Bosmans, Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx:
Distributed Uniform Streaming Framework: Towards an Elastic Fog Computing Platform for Event Stream Processing. 3PGCIC 2018: 426-436 - [c11]Reinout Eyckerman, Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx:
Context-Aware Distribution In Constrained IoT Environments. 3PGCIC 2018: 437-446 - [c10]Jens de Hoog, Manu Pepermans, Siegfried Mercelis, Peter Hellinckx:
Towards a Scalable Distributed Real-Time Hybrid Simulator for Autonomous Vehicles. 3PGCIC 2018: 447-456 - [c9]Stig Bosmans, Siegfried Mercelis, Joachim Denil, Peter Hellinckx:
Challenges of Modeling and Simulating Internet of Things Systems. 3PGCIC 2018: 457-466 - [c8]Muddsair Sharif, Siegfried Mercelis, Johann Márquez-Barja, Peter Hellinckx:
A particle Swarm Optimization-based Heuristic for Optimal Cost Estimation in Internet of Things Environment. BDIOT 2018: 136-142 - [c7]Stig Bosmans, Siegfried Mercelis, Peter Hellinckx, Joachim Denil:
Towards evaluating emergent behavior of the internet of things using large scale simulation techniques (wip). SpringSim (TMS) 2018: 4:1-4:8 - [c6]Thomas Huybrechts, Siegfried Mercelis, Peter Hellinckx:
A New Hybrid Approach on WCET Analysis for Real-Time Systems Using Machine Learning. WCET 2018: 5:1-5:12 - [i1]Stig Bosmans, Siegfried Mercelis, Peter Hellinckx, Joachim Denil:
Towards evaluating emergent behavior of the Internet of Things using large scale simulation techniques. CoRR abs/1802.09207 (2018) - 2017
- [c5]Frédéric Melaerts, Siegfried Mercelis, Marc Ceulemans, Peter Hellinckx:
Cost and Energy Efficient Indoor and Outdoor Localization of Rail Cars in a Confined Maintenance Site. 3PGCIC 2017: 711-721 - [c4]Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx:
Context-Aware Optimization of Distributed Resources in Internet of Things Using Key Performance Indicators. 3PGCIC 2017: 733-742 - [c3]Stig Bosmans, Siegfried Mercelis, Marc Ceulemans, Joachim Denil, Peter Hellinckx:
Acsim: Towards Hyper-scalable Internet of Things Simulation. 3PGCIC 2017: 743-750 - [c2]Muddsair Sharif, Siegfried Mercelis, Wim Van Den Bergh, Peter Hellinckx:
Towards Real-time Smart Road Construction: Efficient Process Management through the Implementation of Internet of Things. BDIOT 2017: 174-180 - 2016
- [b1]Siegfried Mercelis:
A systematic multi-layered approach for optimizing and parallelizing real-time media and audio applications. University of Antwerp, Belgium, 2016 - 2013
- [c1]Siegfried Mercelis, Guido Van den Berghe, Serge Demeyer, Marijn Temmerman:
An Initial Investigation of a Multi-layered Approach for Optimizing and Parallelizing Real-Time Media and Audio Applications. 3PGCIC 2013: 479-484
Coauthor Index
[c52] [j17] [j16] [j15] [j14] [c47] [c43] [i11] [i10] [i9] [i7] [j13] [c42] [c41] [c40] [c39] [c38] [c37] [i6] [j12] [c36] [c35] [c34] [c33] [c32] [i5] [i4] [i3] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [i2] [j4] [j3] [j2] [j1] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [i1] [c5] [c4] [c3] [c2]
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