Browsing by author "Bosmans, Stig"
Now showing items 1-18 of 18
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Acsim: towards hyper-scalable Internet of Things simulation
Bosmans, Stig; Mercelis, Siegfried; Ceulemans, Marc; Denil, Joachim; Hellinckx, Peter (2017) -
Adaptivity in distributed agent-based simulation: A generic load-balancing approach
Bosmans, Stig; Bogaerts, Toon; Casteels, Wim; Mercelis, Siegfried; Denil, Joachim; Hellinckx, Peter (2021) -
Adaptivity in multi-level traffic simulation using experimental frames
Bosmans, Stig; Bogaerts, Toon; Casteels, Wim; Mercelis, Siegfried; Denil, Joachim; Hellinckx, Peter (2022) -
Challenges of Modeling and Simulating Internet of Things Systems
Bosmans, Stig; Mercelis, Siegfried; Denil, Joachim; Latre, Steven (2019) -
Cost-aware hybrid cloud scheduling of parameter sweep calculations using predictive algorithms
Bosmans, Stig; Maricaux, Glenn; Van der Schueren, Filip; Hellinckx, Peter (2019) -
Designing resource-constrained neural networks using neural architecture search targeting embedded devices
Cassimon, Thomas; Vanneste, Simon; Bosmans, Stig; Mercelis, Siegfried; Hellinckx, Peter (2020) -
Distributed uniform streaming framework: an elastic fog computing platform for event stream processing and platform transparency
Vanneste, Simon; de Hoog, Jens; Huybrechts, Thomas; Bosmans, Stig; Eyckerman, Reinout; Sharif, Muddsair; Mercelis, Siegfried; Hellinckx, Peter (2019) -
Distributed uniform streaming framework: Towards an elastic fog computing platform for event stream processing
Vanneste, Simon; de Hoog, Jens; Huybrechts, Thomas; Bosmans, Stig; Sharif, Muddsair; Mercelis, Siegfried; Hellinckx, Peter (2019) -
Distributed Uniform Streaming Framework: Towards an Elastic Fog Computing Platform for Event Stream Processing
Vanneste, Simon; de Hoog, Jens; Huybrechts, Thomas; Bosmans, Stig; Sharif, Muddsair; Mercelis, Siegfried; Hellinckx, Peter (2018) -
Enhancing students' learning experience via low-cost network laboratories
Slamnik, Nina; Bosmans, Stig; Hellinckx, Peter; Marquez-Barja, Johann (2019) -
Learning to communicate with multi-agent reinforcement learning using value-decomposition networks
Vanneste, Simon; Vanneste, Astrid; Bosmans, Stig; Mercelis, Siegfried; Hellinckx, Peter (2019) -
Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System
Vanneste, Simon; de Borrekens, Gauthier; Bosmans, Stig; Vanneste, Astrid; Mets, Kevin; Mercelis, Siegfried; Latre, Steven; Hellinckx, Peter (2022) -
Predictive algorithms for scheduling parameter sweep calculations in a cloud environment
Bosmans, Stig; Maricaux, Glenn; Van der Schueren, Filip (2017) -
Reducing computational cost of large-scale simulations using opportunistic model approximation
Bosmans, Stig; Mercelis, Siegfried; Hellinckx, Peter; Denil, Joachim (2019) -
Testing IoT systems using a hybrid simulation based testing approach
Bosmans, Stig; Mercelis, Siegfried; Denil, Joachim; Hellinckx, Peter (2018) -
Towards evaluating emergent behavior of the internet of things using large scale simulation techniques (wip)
Bosmans, Stig; Mercelis, Siegfried; Hellinckx, Peter; Denil, Joachim (2018) -
Towards evaluating emergent behavior of the internet of things using large scale simulation techniques (wip)
Bosmans, Stig; Mercelis, Siegfried; Hellinckx, Peter; Denil, Joachim (2018) -
Using neural architecture search to optimize neural networks for embedded devices
Cassimon, Thomas; Vanneste, Simon; Bosmans, Stig; Mercelis, Siegfried; Hellinckx, Peter (2019)