haiquan yang, zarina shukur, shahnorbanun sahran.  (2026).  a review of artificial intelligence for financial fraud detection.  - applied sciences.  1 - 32. 

yan chen, ravie chandren muniyandi, shahnorbanun sahran, zuowei cai.  (2025).  fixed-time synchronization of time-delayed fuzzy memristor-based neural networks: a special exponential function method.  - electronic research archive (aim).  3517 - 3542. 

nedaa almansour, shahnorbanun sahran, azizi abdullah, dheeb albashish, jemaima che hamzah.  (2025).  hyperparameter optimization of convolutional neural networks using particle swarm optimization for diabetic retinopathy detection.  - peerj computer science.  1 - 39. 

rabie rehan, shahnorbanun sahran, nor samsiah sani, zaid alyasseri.  (2025).  a hybrid abd-based online evolving spiking neural network for unsupervised anomaly detection in streaming data.  - peerj computer science.  1 - 39. 

rahman, md. mokhlesur; muniyandi, ravie chandren; sahran, shahnorbanun; usman, opeyemi lateef; moniruzzaman, md..  (2024).  restoring private autism dataset from sanitized database using an optimized key produced from enhanced combined pso-gwo framework.  - scientific reports.  1 - 21. 

ahmed oday, azizi abdullah, shahnorbanun sahran.  (2025).  yolo-osam reassembly spatial attention mechanisms for facial expression recognition.  - traitement du signal.  2379 - 2387. 

noor atika azit, shahnorbanun sahran, leow voon meng , manisekar k. subramaniam, suryati mokhtar, azmawati mohammed nawi.  (2022).  the survival outcomes and prognostic factors of hepatocellular carcinoma among type 2 diabetes patients a two-centre retrospective cohort study.  - turkish journal of medical sciences.  1580-1590. 

afzan adam, shahnorbanun sahran, siti nurul huda sheikh abdullah, goh jee yuan, suria hayati md pauzi, nordashima abd shukor.  (2021).  the user interface evaluation of integrated cancer diagnosing system.  - malaysian journal of pathology.  137. 

amjed basil abdulkareem, nor samsiah sani, shahnorbanun sahran, zaid abdi alkareem alyessari, afzan adam, abdul hadi abd rahman, abdulkarem basil abdulkarem.  (2021).  predicting covid-19 based on environmental factors with machine learning.  - intelligent automation and soft computing.  305-320. 

shahnorbanun sahran.  (2021).  the utility of artificial intelligence in diagnostic pathology.  - malaysia journal of pathology.  115. 

haiquan yang, zarina shukur, shahnorbanun sahran.  (2026).  a review of artificial intelligence for financial fraud detection.  - applied sciences.  1 - 32. 

yan chen, ravie chandren muniyandi, shahnorbanun sahran, zuowei cai.  (2025).  fixed-time synchronization of time-delayed fuzzy memristor-based neural networks: a special exponential function method.  - electronic research archive (aim).  3517 - 3542. 

ahmed oday, azizi abdullah, shahnorbanun sahran.  (2025).  yolo-osam reassembly spatial attention mechanisms for facial expression recognition.  - traitement du signal.  2379 - 2387. 

rabie rehan, shahnorbanun sahran, zaid alyasseri, nor samsiah sani, mohammed azmi al-betar .  (2025).  hyperparameters optimization of evolving spiking neural network using artificial bee colony for unsupervised anomaly detection.  - journal of intelligent systems.  1 - 30. 

nedaa almansour, shahnorbanun sahran, azizi abdullah, dheeb albashish, jemaima che hamzah.  (2025).  hyperparameter optimization of convolutional neural networks using particle swarm optimization for diabetic retinopathy detection.  - peerj computer science.  1 - 39. 

azizi abdullah, diah arianti, shahnorbanun sahran.  (2025).  iterative ensemble threshold selection in branch cnns for efficient image classification.  - 2025 international conference on intelligent systems: theories and applications (sita).  1 - 8. 

syaimak abdul shukor, jia huitang, iqraq kamal, mohd faizzuan mohammad, zalinda othman, shahnorbanun sahran, nor samsiah sani, mohd ridzwan yaakub, and azizi abdullah.  (2025).  predictive maintenance in aerospace: leveraging machine learning for optimized filter lifespan.  - communications in computer and information science2483: first international symposium, sms 2024 johor bahru, malaysia, december 16–17, 2024 proceedings.  87 - 101. 

wan noor aziezan baharuddin , siti norul huda sheikh abdullah , shahnorbanun sahran, ashwaq qasem, and azizi bin abdullah, rizuana iqbal, fuad ismail.  (2016).  type 2 fuzzy logic for mammogram breast tissue classification.  - 2016 international conference on industrial informatics and computer systems (ciics).  . 

kahwaji a., arshad h., sahran s., garba a.g., hussain r.i..  (2016).  hexagonal microstrip antenna simulation for breast cancer detection.  - 2016 international conference on industrial informatics and computer systems, ciics 2016.  1-4. 

mohammed omar salameh ; azizi abdullah ; shahnorbanun sahran.  (2016).  ensemble of vector and binary descriptor for loop closure detection.  - the 4th international conference on robot intelligence technology and applications, bucheon south korea.  329-340. 

nahla shatnawi, shahnorbanun sahran, mohamad faidzul nasrudin.  (2023).  memory-based bees algorithm with levy flights for multilevel image thresholding.  - springer series in advanced manufacturin.  175-191. 

farshid pirahansiah, shahnorbanun sahran, and siti norul huda sheikh abdullah.  (2022).  camera calibration and video stabilization framework for robot localization.  - studies in systems, decision and cont.  267-285. 

syaimak abdul shukor, feybi ariani goni, shahnorbanun sahran, muriati mukhtar.  (2021).  pelaksanaan kelestarian di institut pengajian tinggi.  - .  34-50. 

shahnorbanun sahran, ashwaq qasem, khairuddin omar, dheeb albashih, afzan adam, siti norul huda sheikh abdullah, azizi abdullah, rizuana iqbal hussain, fuad ismail, norlia abdullah, suria hayati md pauzi, nurdashima abd shukor.  (2018).  machine learning methods for breast cancer diagnostic.  - .  57-76. 

farshid pirahansiah, siti norul huda sheikh abdullah & shahnorbanun sahran.  (2017).  augmented optical flow methods for video stabilization.  - .  43-49. 

mohammad khatim hasan, shahnorbanun sahran, suhaila zainudin, azizi abdullah, mohammad faidzul nasrudin, afzan adam, atika noor azit, siti nabihah md said.  (2025).  bengkel ai untuk penyelidikan perubatan.  - buletin akses ftsm.  . 

mohd. nor akmal khalid, masri ayob, shahrul azman mohd noah, mohammad kamrul hasan, sabrina tiun, nazlia omar, shahnorbanun sahran, siti nabihah md said.  (2024).  bengkel penulisan jurnal berimpak pusat cait siri 1.  - buletin akses ftsm 2024 .  . 

syaimak abdul shukor, zalinda othman, azizi abdullah, shahnorbanun sahran, mohd ridzwan yaakub, kerk yi wen, norsamsiah sani, nuramni ashikin anuar, iqraq kamal, sivadas chandra sekaran, mohd faizzuan mohammad.  (2024).  penyelenggaraan ramalan - menjamin kualiti terbaik.  - buletin akses (advancing knowledge for success), ftsm, ukm.  12-13. 

nurazeela nabiha zahrul nizam, shahnorbanun binti sahran.  (2024).  pengelasan dan penemberengan imej histopatologi menggunakan algoritma hover-net.  - .  . 

tan xin yi, shahnorbanun sahran.  (2024).  m-fgrow : sistem pemantauan dan penilaian tumbesaran janin untuk penduduk malaysia.  - .  . 

mohammad khatim hasan, shahnorbanun sahran, suhaila zainudin, azizi abdullah, mohammad faidzul nasrudin, afzan adam, atika noor azit, siti nabihah md said.  (2025).  bengkel ai untuk penyelidikan perubatan.  - buletin akses ftsm.  . 

tan xin yi, shahnorbanun sahran.  (2024).  m-fgrow : sistem pemantauan dan penilaian tumbesaran janin untuk penduduk malaysia.  - .  . 

mohd. nor akmal khalid, masri ayob, shahrul azman mohd noah, mohammad kamrul hasan, sabrina tiun, nazlia omar, shahnorbanun sahran, siti nabihah md said.  (2024).  bengkel penulisan jurnal berimpak pusat cait siri 1.  - buletin akses ftsm 2024 .  . 

azizi bin abdullah;shahnorbanun binti sahran;afzan binti adam;nor samsiah binti sani.  (2024).  ensemble of convolutional neural networks using multiple heterogeneous filter models for image classification..  - .  . 

ravie chandren a/l muniyandi;shahnorbanun binti sahran.  (2024).  deep learning with spiking neural p system for effective diagnosis and efficient predictions of learning pattern in autism spectrum disorder.  - .  .