Spatio-temporal modelling and forecasting are challenging due to their complicated spatial
dependence, temporal dynamics, and scenarios. Many statistical models, such as Spatial …

With the ever growing pace of our everyday lives, time planning has gained a lot of
importance. One of the key factors for time planning is to estimate the duration of moving …

We tackle the problem of forecasting network-signal snapshots using past signal
measurements acquired by a subset of network nodes. This task can be seen as a …

Like the systems that supply residents of an area with power, water, sanitation, and
communication services, road networks, which provide transport, are lifelines (Chang …

This thesis describes a novel method for capturing point clouds and segmenting instances of
cabling found on electric vehicle battery packs. The use of cutting-edge perception algorithm …

As bike-sharing systems are widely distributed in cities, system operators need to provide
good management to ensure a balanced distribution of bicycles in cities. New York City's Citi …

요 약교통량과 속도는 지능형 교통 시스템을 구축하기 위해 필요한 가장 중요한 교통 정보이다.
최근 사물인터넷, 빅데이터, 인공지능 등의 기술 발전에 따라 다양한 딥러닝 기술들이 교통 정보 …

Traffic congestion imposes a significant cost on the economic prosperity of a region. This
cost not only materializes as an opportunity cost to travellers due to time delays but also as a …

Heterogeneous graphs with different types of nodes and edges are ubiquitous and have
immense value in many applications. Existing works on modeling heterogeneous graphs …