[HTML][HTML] Impact of COVID-19 on IoT adoption in healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT

M Umair, MA Cheema, O Cheema, H Li, H Lu - Sensors, 2021 - mdpi.com
COVID-19 has disrupted normal life and has enforced a substantial change in the policies,
priorities and activities of individuals, organisations and governments. These changes are …

A city-wide crowdsourcing delivery system with reinforcement learning

Y Ding, B Guo, L Zheng, M Lu, D Zhang… - Proceedings of the …, 2021 - dl.acm.org
The revolution of online shopping in recent years demands corresponding evolution in
delivery services in urban areas. To cater to this trend, delivery by the crowd has become an …

Service time prediction for delivery tasks via spatial meta-learning

S Ruan, C Long, Z Ma, J Bao, T He, R Li… - Proceedings of the 28th …, 2022 - dl.acm.org
Service time is a part of time cost in the last-mile delivery, which is the time spent on
delivering parcels at a certain location. Predicting the service time is fundamental for many …

Discovering co-location patterns in multivariate spatial flow data

J Cai, MP Kwan - International Journal of Geographical Information …, 2022 - Taylor & Francis
Spatial flow co-location patterns (FCLPs) are important for understanding the spatial
dynamics and associations of movements. However, conventional point-based co-location …

Discovering actual delivery locations from mis-annotated couriers' trajectories

S Ruan, C Long, X Yang, T He, R Li… - 2022 IEEE 38th …, 2022 - ieeexplore.ieee.org
Delivery locations are fundamental data source for intelligent logistics, which can be used in
route planning, arrival time estimation, parcel allocation, etc. Using the Geocoded way-bill …

Origin-destination travel time oracle for map-based services

Y Lin, H Wan, J Hu, S Guo, B Yang, Y Lin… - Proceedings of the ACM …, 2023 - dl.acm.org
Given an origin (O), a destination (D), and a departure time (T), an Origin-Destination (OD)
travel time oracle~(ODT-Oracle) returns an estimate of the time it takes to travel from O to D …

P2-loc: A person-2-person indoor localization system in on-demand delivery

Y Ding, D Jiang, Y Yang, Y Liu, T He… - Proceedings of the ACM …, 2022 - dl.acm.org
On-demand delivery is a fast developing business where gig couriers deliver online orders
within a short time from merchants to customers. Couriers' accurate indoor locations play an …

[PDF][PDF] A prediction-and-scheduling framework for efficient order transfer in logistics

W Lyu, H Wang, Y Song, Y Liu, T He… - Proceedings of the Thirty …, 2023 - ijcai.org
Order Transfer from the transfer center to delivery stations is an essential and expensive part
of the logistics service chain. In practice, one vehicle sends transferred orders to multiple …

Urban knowledge graph aided mobile user profiling

Y Liu, Z Zhou, Y Li, D Jin - ACM Transactions on Knowledge Discovery …, 2023 - dl.acm.org
Nowadays, the explosive growth of personalized web applications and the rapid
development of artificial intelligence technology have flourished the recent research on …

Icfinder: A ubiquitous approach to detecting illegal hazardous chemical facilities with truck trajectories

Z Zhu, H Ren, S Ruan, B Han, J Bao, R Li, Y Li… - Proceedings of the 29th …, 2021 - dl.acm.org
Chemical materials are useful but sometimes hazardous, which requires strict regulation
from the government. However, due to the potential economic benefits, many illegal …