Haze detection using persistent homology
暂无分享,去创建一个
[1] R. Ghrist. Barcodes: The persistent topology of data , 2007 .
[2] Hamid Krim,et al. Persistent Homology of Delay Embeddings and its Application to Wheeze Detection , 2014, IEEE Signal Processing Letters.
[3] Khushboo Mittal,et al. Topological characterization and early detection of bifurcations and chaos in complex systems using persistent homology. , 2017, Chaos.
[4] Rodrigo Fernandes de Mello,et al. Persistent homology for time series and spatial data clustering , 2015, Expert Syst. Appl..
[5] Marian Gidea,et al. Topological Data Analysis of Financial Time Series: Landscapes of Crashes , 2017, 1703.04385.
[6] Mohd Nasir Hassan,et al. Review of air pollution and health impacts in Malaysia. , 2003, Environmental research.
[7] N. Ramli,et al. Monsoonal differences and probability distribution of PM10 concentration , 2010, Environmental monitoring and assessment.
[8] Therese D. Pigott,et al. A Review of Methods for Missing Data , 2001 .
[9] Yuhei Umeda,et al. Time Series Classification via Topological Data Analysis , 2017, Inf. Media Technol..
[10] Mohd Armi Abu Samah,et al. An Overview of the Air Pollution Trend in Klang Valley, Malaysia , 2012 .
[11] F. Takens. Detecting strange attractors in turbulence , 1981 .
[12] Gunnar E. Carlsson,et al. Topology and data , 2009 .
[13] Abdul Aziz Jemain,et al. Trend and status of air quality at three different monitoring stations in the Klang Valley, Malaysia , 2009, Air quality, atmosphere, & health.