🧠 AI-Driven Edge Monitoring
CLEVER ensures smart environments stay resilient in 2026, monitoring sensors and workloads in real time, adapting to dynamic conditions, and enabling autonomous decision-making.🌟 Explore more: www.cleverproject.eu
Tag SmartCities
🌍 Digital Twins for Smart & Resilient Edge Infrastructures
Our research explores the use of digital twin models to simulate, monitor and optimise smart city systems at the edge. With real-time data feeding virtual replicas of physical assets, we enable predictive maintenance, dynamic resource allocation and integrated infrastructure intelligence.⚙️…
Why edge > cloud for smart environments?
⚡ Lower latency ⚡ Reduced bandwidth load ⚡ Better scalability + fault tolerance 🌟 Follow us on LinkedIn!🌟 Check the updates from the website: www.cleverproject.eu🌟 You can read the post on our website: Full paper in:
Future smart environments
Future smart environments = hybrid continuum where workloads move seamlessly across devices, edge, and cloud. 🌟 Follow us on LinkedIn! 🌟 Check the updates from the website: www.cleverproject.eu 🌟 You can read the post on our website: https://lnkd.in/d4MB_HhM 🌟 Full…
Why Edge Matters for Smart Environments?
Why edge > cloud for smart environments? ⚡ Lower latency ⚡ Reduced bandwidth load ⚡ Better scalability + fault tolerance 🌟 Follow us on LinkedIn! 🌟 Check the updates from the website: www.cleverproject.eu 🌟 You can read the post on our website:…
New propose: containerised EMDC architecture
We propose a containerised EMDC architecture: scalable pipelines for heterogeneous smart city workloads. 🌟 Follow us on LinkedIn! 🌟 Check the updates from the website: www.cleverproject.eu 🌟 You can read the post on our website: https://lnkd.in/d4MB_HhM 🌟 Full paper in: https://zenodo.org/records/14944394
CLEVER’s concept drift
Concept drift = when real-world sensor data changes, breaking AI models. Our solution: feedback-driven drift detection at the edge. 🌟 Follow us on LinkedIn! 🌟 Check the updates from the website: www.cleverproject.eu 🌟 You can read the post on our website:…
Smart cities face concept drift
Smart cities face concept drift—when sensor data streams shift over time, degrading AI predictions. Our solution: an edge micro data center (EMDC) architecture with automated drift detection (LSTM + PHT + ADWIN + KSWIN). Results: MAPE reduced from 8.5% to 3.88% in…
Boosting Data Trust with Efficient Annotations in Alvarium DCF!
Did you know that Data Confidence Fabrics (DCFs) are revolutionizing how we ensure trust in distributed systems? The Alvarium framework (backed by the Linux Foundation) is leading the charge by decoupling security metadata (“annotations”) from data, enabling scalable, transparent trust…