1. Muhammad, B., Ibrahim, Z., Shapiai, M.I., Mohamad, M.S., Azmi, K.Z.M., Jusof, M.F.M. (2019), Oppositional learning prediction operator with jumping rate for simulated kalman filter, 2019 International Conference on Computer and Information Sciences, ICCIS 2019
2. Fauzi, H., Shapiai, M.I., Shah Abdullah, S., Ibrahim, Z. (2019), Automatic Energy Extraction Methods for EEG Channel Selection, Proceedings – 2018 International Conference on Control, Electronics, Renewable Energy and Communications, ICCEREC 2018, pp. 70-75
3. Muhammad, B., Jusof, M.F.M., Shapiai, M.I., Adam, A., Yusof, Z.M., Azmi, K.Z.M., Aziz, N.H.A., (…), Mokhtar, N. (2019). Feature selection using binary simulated kalman filter for peak classification of EEG signals, Proceedings – International Conference on Intelligent Systems, Modelling and Simulation, ISMS, pp. 1-6.
4. Muhammad, B., Jusof, M.F.M., Shapiai, M.I., Adam, A., Yusof, Z.M., Azmi, K.Z.M., Aziz, N.H.A., Ibrahim, Z. And Mokhtar, N., 2018. Feature Selection Using Binary Simulated Kalman Filter For Peak Classification Of Eeg Signals, Proceedings – International Conference On Intelligent Systems, Modelling And Simulation, Isms 2018, Pp. 1-6.
5. Muhammad, B., Jusof, M.F.M., Shapiai, M.I., Adam, A., Yusof, Z.M., Azmi, K.Z.M., Aziz, N.H.A., Ibrahim, Z. And Mokhtar, N., 2018. Feature Selection Using Binary Simulated Kalman Filter For Peak Classification Of Eeg Signals, Proceedings – International Conference On Intelligent Systems, Modelling And Simulation, Isms 2018, Pp. 1-6.
6. Bahiuddin, I., Usak, S.A.M., Shapiai, M.I. And Mazlan, S.A., 2018. An application of extreme learning machine in a graphical user interface for magnetorheological fluid study, Proceeding of 2017 International Conference on Robotics, Automation and Sciences, ICORAS 2017 2018, pp. 1-5
7. Md Zaini, M.H., Shapiai, M.I., Mohamed, A.R., Fauzi, H., Ibrahim, Z. And Adam, A., 2018. Hippocampal segmentation using structured extreme learning machine with bag of features, Proceeding of 2017 International Conference on Robotics, Automation and Sciences, ICORAS 2017 2018, pp. 1-5.
8. Bahiuddin, I., Mazlan, S.A., Shapiai, M.I., Imaduddin, F. And Ubaidillah, 2018. Study of extreme learning machine activation functions for magnetorheological fluid modelling in medical devices application, Proceeding of 2017 International Conference on Robotics, Automation and Sciences, ICORAS 2017 2018, pp. 1-5.
9. Aziz, F.A.A., Fauzi, H., Shapiai, M.I., Aziz, A.F.A., Remijn, G. And Ismail, Z.H., 2017. Eeg Bsi-Hht In Ischaemic Stroke With Multifocal Infarction, Ieee Region 10 Annual International Conference, Proceedings/Tencon 2017, Pp. 1651-1656.
10. Fauzi, H., Shapiai, M.I., Setiawan, N.A., Jaafar, J. And Mustafa, M., 2017. Channel Selection For Common Spatial Pattern Based On Energy Calculation Of Motor Imagery Eeg Signal, Iccrec 2017 – 2017 International Conference On Control, Electronics, Renewable Energy, And Communications, Proceedings 2017, Pp. 33-39.
11. Aziz, F.A.A., Fauzi, H., Shapiai, M.I., Aziz, A.F.A., Remijn, G. And Ismail, Z.H., 2017. Eeg Bsi-Hht In Ischaemic Stroke With Multifocal Infarction, Ieee Region 10 Annual International Conference, Proceedings/Tencon 2017, Pp. 1651-1656.
12. Zaini, M.H.M., Shapiai, M.I., Mohamed, A.R., Mokhtar, N. and Ibrahim, Z., 2017. “Classification of Hippocampal Region using Extreme Learning Machine”. ICAROB 2017: Proceedings of The 2017 International Conference on Artificial Life and Robotics
13. FARIS RAMLI, M., MUNIANDY, K., ADAM, A., AB NASIR, A.F. and IBRAHIM SHAPIAI, M., 2020. Indoor occupancy estimation using carbon dioxide concentration and neural network with random weights, IOP Conference Series: Materials Science and Engineering 2020.
14. ASERI, N.S.M., ALI, N., YASIN, M.N.M., RASHIDI, C.B.M., ALJUNID, S.A., ENDUT, R., HAMBALI, N.A.M.A. and SHAPIAI, M.I., 2020. Smart embedded-analytics sensors with cloud-based measurement system for HVAC, AIP Conference Proceedings 2020.
15. ALI, N., AMPHAWAN, A., HAFIZALSHAH, M.H., ALJUNID, S.A., ENDUT, R., RASHIDI, C.B.M., YASIN, M.N.M. and SHAPIAI, M.I., 2020. Waveguide for vortex mode generation in HVAC cloud management communication, AIP Conference Proceedings 2020.
16. YEU, Y.H., SHAPIAI, M.I., ISMAIL, Z.H. and FAUZI, H., 2019. Investigation on different color spaces on faster RCNN for night-time human occupancy modelling, Proceeding – 2019 IEEE 7th Conference on Systems, Process and Control, ICSPC 2019 2019, pp. 118-121.
17. Aziz, N.A.A., Ibrahim, Z., Aziz, N.H.A., Mubin, M., Mokhtar, N., Shapiai, M.I. (2019), A fitness-based adaptive synchronous-asynchronous switching in simulated kalman filter optimizer, 2019 International Conference on Computer and Information Sciences, ICCIS 2019
18. Ab Rahman, T., Ibrahim, Z., Aziz, N.H.A., Aziz, N.A.A., Mohamad, M.S., Shapiai, M.I. (2019) Evaluation of different horizon lengths in single-agent finite impulse response optimizer, , 2019 International Conference on Computer and Information Sciences, ICCIS 2019
19. Ibrahim, Z., Azmi, K.Z.M., Ab Aziz, N.A., Aziz, N.H.A., Muhammad, B., Jusof, M.F.M., Shapiai, M.I. (2019) , An oppositional learning prediction operator for simulated kalman filter, Proceedings – 3rd International Conference on Computational Intelligence and Applications, ICCIA 2018 pp. 195-199
20. Aziz, N.H.A., Aziz, N.A.A., Jusof, M.F.M., Razali, S., Ibrahim, Z., Adam, A., Shapiai, M.I. ,An analysis on the number of agents towards the performance of the simulated kalman filter optimizer Proceedings – International Conference on Intelligent Systems, Modelling and Simulation, ISMS, pp. 16-21.
21. Aujih, A. B., Izhar, L. I., Meriaudeau, F., & Ibrahim Shapiai, M. (2018). Analysis of retinal vessel segmentation with deep learning and its effect on diabetic retinopathy classification. Paper presented at the International Conference on Intelligent and Advanced System, ICIAS 2018
22. Pramudita, B.A., Nugroho, Y.D., Ardiyanto, I., Shapiai, M.I. And Setiawan, N.A., 2018. Removing ocular artefacts in EEG signals by using combination of complete EEMD (CEEMD) – Independent Component Analysis (ICA) based outlier data, Proceeding of 2017 International Conference on Robotics, Automation and Sciences, ICORAS 2017 2018, pp. 1-5.
23. Fauzi, H., Shapiai, M. I., Khairuddin, U., Shah, S., & Ismail, Z. H. (2018). Investigation on energy extraction methods for EEG channels selection in improving common spatial pattern. Paper presented at the IET Conference Publications, 2018(CP750)
24. Haron, N., Jaafar, J., Aziz, I.A., Hassan, M.H. And Shapiai, M.I., 2018. Data trustworthiness in Internet of Things: A taxonomy and future directions, 2017 IEEE Conference on Big Data and Analytics, ICBDA 2017 2018, pp. 25-30.
25. Li, K.G., Shapiai, M.I., Adam, A., Ibrahim, Z. “Feature scaling for EEG human concentration using particle swarm optimization” (2017) Proceedings of 2016 8th International Conference on Information Technology and Electrical Engineering: Empowering Technology for Better Future, ICITEE 2016
26. Asyafie, M.A., Harun, M., Shapiai, M.I. And Khalid, P.I., 2014. Identification Of Phoneme And Its Distribution Of Malay Language Derived From Friday Sermon Transcripts, 2014 Ieee Student Conference On Research And Development, Scored 2014 2014.
27. Adam, A., Mokhtar, N., Mubin, M., Ibrahim, Z., Tumari, M.Z.M. And Shapiai, M.I., 2014. Feature Selection And Classifier Parameter Estimation For Eeg Signal Peak Detection Using Gravitational Search Algorithm, Proceedings – 2014 4th International Conference On Artificial Intelligence With Applications In Engineering And Technology, Icaiet 2014 2014, Pp. 103-108.
28. Adam, A., Chew, L.C., Shapiai, M.I., Jau, L.W., Ibrahim, Z. And Khalid, M., 2011. A Hybrid Artificial Neural Network-Naive Bayes For Solving Imbalanced Dataset Problems In Semiconductor Manufacturing Test Process, Proceedings Of The 2011 11th International Conference On Hybrid Intelligent Systems, His 2011 2011, Pp. 133-138