Spatial-temporal potential exposure risk analytics and urban sustainability impacts related to COVID-19 mitigation: A perspective from car mobility behaviour
Coronavirus disease-2019 (COVID-19) poses a significant threat to the population and urban
sustainability worldwide. The surge mitigation is complicated and associates many factors, …
sustainability worldwide. The surge mitigation is complicated and associates many factors, …
Traffic pattern mining and forecasting technologies in maritime traffic service networks: A comprehensive survey
Maritime traffic service networks and information systems play a vital role in maritime traffic
safety management. The data collected from the maritime traffic networks are essential for the …
safety management. The data collected from the maritime traffic networks are essential for the …
Vessel trajectory prediction in maritime transportation: Current approaches and beyond
The growing availability of maritime IoT traffic data and continuous expansion of the maritime
traffic volume, serving as the driving fuel, propel the latest Artificial Intelligence (AI) studies …
traffic volume, serving as the driving fuel, propel the latest Artificial Intelligence (AI) studies …
Maritime traffic probabilistic forecasting based on vessels' waterway patterns and motion behaviors
Z Xiao, L Ponnambalam, X Fu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Maritime traffic prediction is critical for ocean transportation safety management. In this
paper, we propose a novel knowledge assisted methodology for maritime traffic forecasting …
paper, we propose a novel knowledge assisted methodology for maritime traffic forecasting …
Literature review on emission control-based ship voyage optimization
Ship voyage optimization provides key theoretical and technical insights for efficient shipping
operations. It is critical for developing methodologies and systems that bridge the gaps …
operations. It is critical for developing methodologies and systems that bridge the gaps …
More is not enough: A deeper understanding of the COVID-19 impacts on healthcare, energy and environment is crucial
The coronavirus disease 2019 (COVID-19) pandemic has magnified the insufficient
readiness of humans in dealing with such an unexpected occurrence. During the pandemic, …
readiness of humans in dealing with such an unexpected occurrence. During the pandemic, …
[BOOK][B] Data mining with computational intelligence
L Wang, X Fu - 2005 - books.google.com
Finding information hidden in data is as theoretically difficult as it is practically important. With
the objective of discovering unknown patterns from data, the methodologies of data mining …
the objective of discovering unknown patterns from data, the methodologies of data mining …
Data dimensionality reduction with application to simplifying RBF network structure and improving classification performance
X Fu, L Wang - IEEE Transactions on Systems, Man, and …, 2003 - ieeexplore.ieee.org
For high dimensional data, if no preprocessing is carried out before inputting patterns to
classifiers, the computation required may be too heavy. For example, the number of hidden units …
classifiers, the computation required may be too heavy. For example, the number of hidden units …
Weighted complex network analysis of travel routes on the Singapore public transportation system
The structure and properties of public transportation networks have great implications for
urban planning, public policies and infectious disease control. We contribute a complex …
urban planning, public policies and infectious disease control. We contribute a complex …
[HTML][HTML] A quantitative method for the analysis of ship collision risk using AIS data
Ship collision risk analysis is of great significance for maritime traffic management and
surveillance in real operational conditions. However, the traditional concept of the closest point of …
surveillance in real operational conditions. However, the traditional concept of the closest point of …