Urban IoT data is dynamic. Static models fail. Our architecture migrates workloads live across edge–cloud continuum to adapt in real time. 🌟 Follow us on LinkedIn! 🌟 Check the updates from the website: www.cleverproject.eu 🌟 You can read the…
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:…
Drift detection framework combines: 🌟 Follow us on LinkedIn! Check the updates from the website: www.cleverproject.eu 🌟 You can read the post on our website: 🌟 Full paper in:
Smart campuses = testbeds for next-gen smart city services. Our edge-based drift detection shows practical gains in real-world deployments. 🌟 Follow us on LinkedIn! 🌟 Check the updates from the website: www.cleverproject.eu 🌟 You can read the post on our website:…
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
MAPE improved from 8.5% → 3.88% using automated drift detection in smart campus experiments. 🌟 Follow us on LinkedIn! Check the updates from the website: www.cleverproject.eu 🌟 You can read the post on our website: 🌟 Full paper in: …
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:…
The cloud–edge continuum is key for resilient smart environments. We present a containerised edge architecture supporting: This approach strengthens data-driven municipal services in dynamic urban environments. 🌟 Follow us on LinkedIn! 🌟 Check the updates from the website: www.cleverproject.eu 🌟 You…
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…
Deep-edge environments (connected cars, robots, fintech apps) demand quantum-resilient, lightweight crypto. Our stack delivers exactly that. 🌟 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…
