A modified genetic algorithm (MGA) optimization procedure, alongside time series machine learning (ML) classifiers, is proposed to minimize handovers in a digital twin-based visible light communication (VLC) system. Frequent handovers have a direct impact on the overall performance of the VLC system …

Technologie heeft altijd al een rol gespeeld in het onderwijs, zij het in verschillende vormen. Denk aan de introductie van de drukpers in de 15e eeuw, die voor het eerst brede toegang tot leerboeken mogelijk maakte. In de 20e eeuw veranderden apparaten zoals de overheadprojector en later de computer …

An interdisciplinary research project that is being developed by the Universities of Twente and Groningen and the Hanze University of Applied Sciences

In the modern day and age, cybersecurity faces numerous challenges. Computer systems and networks become more and more sophisticated and interconnected, and the attack surface constantly increases. In addition, cyber-attacks keep growing in complexity and scale. In order to address these challenges, …

Intreerede bijzonder lector Shima Mousavi Gargari op 14 november 2024

Emerging technologies like artificial intelligence and augmented/virtual reality come with many ethical and societal questions. In order to develop applications based on these technologies responsibly, businesses, governments and knowledge institutions are increasingly working together, and sometimes …

Our current smart society, where problems and frictions are smoothed out with smart, often invisi ble technology like AI and smart sensors, calls for designers who unravel and open the smart fabric. Societies are not malleable, and moreover, a smooth society without rough edges is neither desirable …

Dit is de lectorale rede van Jeroen Linssen, lector Symbiotic AI bij het lectoraat Ambient Intelligence van Hogeschool Saxion. Artificial Intelligence maakt veel dingen mogelijk en werpt veel uitdagingen op. AI wordt steeds ‘slimmer’, maar worden wij dat zelf ook? Hoe gaan we verantwoord om met deze …

Explainable Artificial Intelligence (XAI) aims to provide insights into the inner workings and the outputs of AI systems. Recently, there’s been growing recognition that explainability is inherently human-centric, tied to how people perceive explanations. Despite this, there is no consensus in the research …