|
|
|
|
|
Xianlei Fu, Maozhi Wu, Sasthikapreeya Ponnarasu and Limao Zhang
This research introduces a hybrid deep learning approach to perform real-time forecasting of passenger traffic flow for the metro railway system (MRS). By integrating long short-term memory (LSTM) and the graph convolutional network (GCN), a hybrid deep ...
ver más
|
|
|
|
|
|
|
|
|
Shuo Wang, Liaojun Zhang and Guojiang Yin
Research on the vibration response prediction and safety early warning is of great significance to the operation and management of pumping station engineering. In the current research, a hybrid prediction method was proposed to predict vibration response...
ver más
|
|
|
|
|
|
|
|
|
Rita Machete, Mariana Neves, Madalena Ponte, Ana Paula Falcão and Rita Bento
The preservation and safeguarding of built cultural heritage is a permanent concern for institutions. These structures were generally poorly prepared for movement triggered by natural disasters, a situation further complicated in the case of earthquakes,...
ver más
|
|
|
|
|
|
|
|
|
Younghan Edwin Jung, M. Myung Jeong, Hwandon Jun and Trevor Smith
Combined sewer overflow (CSO) is a significant environmental concern and public health risk (e.g., water contamination, eutrophication, and beach closure). The Environmental Protection Agency (EPA) has introduced the National Pollutant Discharge Eliminat...
ver más
|
|
|
|
|
|
|
|
|
Mohaimenul Azam Khan Raiaan, Nur Mohammad Fahad, Shovan Chowdhury, Debopom Sutradhar, Saadman Sakib Mihad and Md. Motaharul Islam
Significant threats to ecological equilibrium and sustainable agriculture are posed by the extinction of animal species and the subsequent effects on farms. Farmers face difficult decisions, such as installing electric fences to protect their farms, alth...
ver más
|
|
|
|