Space Intelligence Evolution with Autonomic Preference Learning

Scalable learning by distributed autonomous IoTs based on user feedbacks and rich representation of IoT big data

Placeness Inference using Cyber-Physical Data Convergence

Faster unsupervised inference on placeness (user perception on a given space) with smaller urban dataset which is made up of cyber-physical convergence data

Playing with Real-World Data

A faithful and competitive research with wild datasets collected from real IoT testbeds and social media