noor atika aziti, shahnorbanun sahran, leow voon meng, manisekar subramaniam, suryati mokhtar, azmawati mohammed naw. (2021). risk factors of hepatocellular carcinoma in type 2 diabetes patients: a two-centre study in a developing country. - plos one. 1-20. |
ayat alrosan, waleed alomoush, mohammed alswaitti, khalid alissa, shahnorbanun sahran, sharif naser makhadmeh and kamal alieyan. (2021). automatic data clustering based mean best artificial bee colony algorithm. - cmc-computers, materials & continua. 1575-1593. |
md. mokhlesur rahman, ravie chandren muniyandi, shahnorbanun sahran, suziyani mohamed. (2021). enhancement of an optimized key for database sanitization to ensure the security and privacy of an autism dataset. - symmetry. 1-21. |
dheeb albashih, abdelaziz i.hammouri, malik braik, jaffar atwan, shahnorbanun sahran. (2020). binary biogeography-based optimization based svm-rfe for feature selection. - applied soft computing. 1-21. |
shahnorbanun sahrana, dheeb albashishb, azizi abdullaha, nordashima abd shukorc, suria hayati md pauzi. (2018). absolute cosine-based svm-rfe feature selection method for prostate histopathological grading. - artificial intelligence in medicine. . |
feybi ariani goni, abdoulmohammad gholamzadeh chofreh, muriati mukhtar, shahnorbanun sahran, syaimak abdul shukor, jiri jaromir kelemes. (2017). strategic alignment between sustainability and information systems: a case analysis in malaysian public higher education institutions. - journal of cleaner production. 263-270. |
wasim a. hussein; shahnorbanun sahran; siti norul huda sheikh abdullah. (2016). a fast scheme for multilevel thresholding based on a modified bees algorithm. - knowledge-based systems. 114-134. |
wasim abdulqawi hussein, shahnorbanun sahran & siti norul huda sheikh abdullah. (2016). the variants of the bees algorithm (ba): a survey. - artificial intelligence review. 1-55. |
wassim a. hussein, shahnorbanun sahran, siti norul huda sheikh abdullah. (2014). patch-levy-based initialization algorithm for bees algorithm. - applied soft computing. 23(2014):104-121. |