Wepos: Weak-supervised indoor positioning with unlabeled wifi for on-demand delivery

B Guo, W Zuo, S Wang, W Lyu, Z Hong, Y Ding… - Proceedings of the …, 2022 - dl.acm.org
On-demand delivery is an emerging business in recent years where accurate indoor
locations of Gig couriers play an important role in the order dispatch and delivery process …

A measurement framework for explicit and implicit urban traffic sensing

Z Qin, Z Fang, Y Liu, C Tan, D Zhang - ACM Transactions on Sensor …, 2021 - dl.acm.org
Urban traffic sensing has been investigated extensively by different real-time sensing
approaches due to important applications such as navigation and emergency services …

Neural graph reasoning for explainable decision-making

Y **an - 2021 - search.proquest.com
Researchers have been seeking to develop intelligent systems with the ability to behave like
humans by autonomously making accurate and reasonable decisions for real-world tasks. It …

Cross-zone and extreme-aware mobility learning of crowd interactions with built environments

S He, B Wang, KG Shin, M Tabatabaie - Proceedings of the 9th ACM …, 2022 - dl.acm.org
We propose an A daptive Cro wd mobility analytics system based on C ross-zone I
nteractive learning (ACroCI) to capture, interpret, and forecast how the mobility of human …

Types, representations, topologies, and predictions, and dynamic systems of temporal network: A review study

FTAD Awni, MA Al-Bayati - AIP Conference Proceedings, 2023 - pubs.aip.org
The quantity of data created in today's society is large and increasing. Temporal networks
are frequently connected with data and can help to deepen data analysis and show …

Data-Driven Human Behavior Learning and Prediction in Smart Cities

Z Qin - 2021 - search.proquest.com
Over the last decade, enormous data have been logged and collected with the development
of infrastructures in smart cities, such as cellular networks and vehicular networks. Learning …