Penerbitan Berimpak Tinggi

mohammad reza mahmoudi, dumitru baleanu, zulkefli mansor, bui anh tuan, kim-hung pho.  (2020).  fuzzy clustering method to compare the spread rate of covid-19 in the high risks countries.  - chaos, solitons and fractals.  1-9. 

amirhosein mosavi, manouchehr shokri, zulkefli mansor, sultan noman qasem, shahab s. band and ardashir mohammadzadeh.  (2020).  machine learning for modeling the singular multi-pantograph equations.  - entropy.  1-18. 

kasra mohammadi, shahaboddin shamshirband, dalibor petkovic, por lip yee, zulkefli mansor.  (2016).  using anfis for selection of more relevant parameters to predict dew point temperature.  - applied thermal engineering.  311-319. 

kasra mohammadi, shahaboddin shamshirband, amirrudin kamsin, p.c. lai, zulkefli mansor.  (2016).  identifying the most significant input parameters for predicting global solar radiation using an anfis selection procedure.  - renewable and sustainable energy reviews.  423-434. 

shahin sajjadi, shahaboddin shamshirband, meysam alizamir, por lip yee, zulkefli mansor, azizah abdul manaf, torki a. altameem, ali mostafaeipour.  (2016).  extreme learning machine for prediction of heat load in district heating systems.  - energy and buildings.  222-227. 

naji s., keivani a., shamshirband s., alengaram u.j., jumaat m.z., mansor z., lee m..  (2016).  estimating building energy consumption using extreme learning machine method.  - energy.  506-516. 

sareh naji,afram keivani, shahaboddin shamshirband, ubagaram johnson alengaram, mohd zamin bin jumaat,zulkefli mansor,malrey lee.  (2015).  estimating building energy consumption using extreme learning machine method.  - energy.  506-516.