Penerbitan Berimpak Tinggi

syed mohamad sadiq syed musa, mohd salmi md noorani, fatimah abdul razak, munira ismail, mohd almie alias, saiful izzuan hussain.  (2021).  using persistent homology as preprocessing of early warning signals for critical transition in flood.  - scientific reports.  1-14. 

nur fariha syaqina zulkepli, mohd salmi md noorani, fatimah abdul razak, munira ismail, mohd almie alias.  (2020).  cluster analysis of haze episodes based on topological features.  - sustainability.  1-17. 

syed mohamad sadiq syed musa, mohd salmi md noorani, fatimah abdul razak, munira ismail, mohd almie alias, saiful izzuan hussain.  (2020).  an early warning system for flood detection using critical slowing down.  - international journal of environment research and public health.  1-13. 

mohd sabri ismail, mohd salmi md noorani, munira ismail, fatimah abdul razak, mohd almie alias.  (2020).  predicting next day direction of stock price movement using machine learning methods with persistent homology: evidence from kuala lumpur stock exchange.  - applied soft computing.  1-18. 

nur fariha syaqina zulkepli, mohd salmi md noorani, fatimah abdul razak, munira ismail, mohd almie alias.  (2019).  topological characterization of haze episodes using persistent homology.  - aerosol and air quality research.  1614-1624. 

fatimah abdul razak, henrik jeldtoft jensen.  (2014).  quantifying `causality` in complex systems: understanding transfer entropy.  - plos one.  9(6): e99462.