Deep learning for spatio-temporal data mining: A survey
With the fast development of various positioning techniques such as Global Position System
(GPS), mobile devices and remote sensing, spatio-temporal data has become increasingly …
(GPS), mobile devices and remote sensing, spatio-temporal data has become increasingly …
Deep learning applications in manufacturing operations: a review of trends and ways forward
Purpose Deep learning (DL) technologies assist manufacturers to manage their business
operations. This research aims to present state-of-the-art insights on the trends and ways …
operations. This research aims to present state-of-the-art insights on the trends and ways …
A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data
The co-existence of traditional docked bike-sharing and emerging dockless systems
presents new opportunities for sustainable transportation in cities all over the world, both …
presents new opportunities for sustainable transportation in cities all over the world, both …
Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach
This study proposes a novel Graph Convolutional Neural Network with Data-driven Graph
Filter (GCNN-DDGF) model that can learn hidden heterogeneous pairwise correlations …
Filter (GCNN-DDGF) model that can learn hidden heterogeneous pairwise correlations …
Data analytics in the supply chain management: Review of machine learning applications in demand forecasting
A Aamer, LP Eka Yani… - Operations and Supply …, 2020 - journal.oscm-forum.org
In today's fast-paced global economy coupled with the availability of mobile internet and
social networks, several business models have been disrupted. This disruption brings a …
social networks, several business models have been disrupted. This disruption brings a …
A temporal fusion transformer for short-term freeway traffic speed multistep prediction
Accurate short-term freeway speed prediction is a key component for intelligent
transportation management and can help travelers plan travel routes. However, very few …
transportation management and can help travelers plan travel routes. However, very few …
Sequence to sequence learning with attention mechanism for short-term passenger flow prediction in large-scale metro system
The accurate short-term passenger flow prediction is of great significance for real-time public
transit management, timely emergency response as well as systematical medium and long …
transit management, timely emergency response as well as systematical medium and long …
Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions
The ongoing COVID-19 pandemic has created an unprecedented predicament for global
supply chains (SCs). Shipments of essential and life-saving products, ranging from …
supply chains (SCs). Shipments of essential and life-saving products, ranging from …
Machine learning for geographically differentiated climate change mitigation in urban areas
Artificial intelligence and machine learning are transforming scientific disciplines, but their
full potential for climate change mitigation remains elusive. Here, we conduct a systematic …
full potential for climate change mitigation remains elusive. Here, we conduct a systematic …
A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system
Public bike-sharing has gained much attention with the tide of sharing economy.
Empowered by modern technologies (eg, GPS devices and smartphone-based APPs), a …
Empowered by modern technologies (eg, GPS devices and smartphone-based APPs), a …