This repository contains the dataset and supplementary materials for a PRISMA-guided review on Agentic AI for climate-resilient and sustainable cities. It includes the final study database (76 papers), search strategies, screening records, PRISMA flow diagram, document classification, and inter-rater reliability calculations. The dataset supports reproducibility and reuse in research on Agentic AI, digital twins, smart cities, and SDGs 11 and 13. Released under an open-access license (CC BY 4.0).
Human activity recognition (HAR) using sensor data allows the automatic detection of human behavior and actions in everyday environments. The development of scalable and privacy-preserving HAR systems is supported by the nonintrusive collection of time-series data using wearable…
Human activity recognition (HAR) using sensor data allows the automatic detection of human behavior and actions in everyday environments. The development of scalable and privacy-preserving HAR systems is supported by the nonintrusive collection of time-series data using wearable…
These are the data and results reported in the paper "A probabilistic digital twin framework for corrosion-fatigue prognosis of floating offshore wind turbines".
These are the data and results reported in the paper "A probabilistic digital twin framework for corrosion-fatigue prognosis of floating offshore wind turbines".