4 citations · 5 across the 3 of their papers we have counts for
3 papers
A Novel Prediction Approach for Exploring PM2.5 Spatiotemporal Propagation Based on Convolutional Recursive Neural Networks
Hsing-Chung Chen, Karisma Trinanda Putra, Jerry Chun-WeiLin
The spread of PM2.5 pollutants that endanger health is difficult to predict because it involves many atmospheric variables. These micron particles can spread rapidly from their sou…
Modeling Traffic Congestion with Spatiotemporal Big Data for An Intelligent Freeway Monitoring System
Karisma Trinanda Putra, Jing-Doo Wang, Eko Prasetyo +1
Traffic congestion is a complex, nonlinear spatiotemporal modeling problem. By collecting and analyzing a vast quantity and different categories of information, traffic flow, and r…
Visualization and Travel Time Extraction System for the Statistics of TDCS Travel using MapReduce Framework
Eko Prasetyo, Prayitno, Jing-Doo Wang +1
Recently, extracting some information as a knowledge from big data is very challenging activity. The size of data is very huge and it requires some special techniques and adequate…