RESEARCH

GRANTS

For more recent research, please visit Google Scholar Link

Principal, GP-IPM/2021/9699600, Improvement on Multiple Residents Activity Recognition Model, 2021 - 2024, Source of fund: UPM RM58,000, Status: Complete
Member, VOT: 6233291-13301, Digitalisation and IT Programme For Biodiversity, 2021 - 2026, Source of fund: Akademi Sains Malaysia-RMK12 (Private) RM980,000, Status: On-going
Member, GP-IPM - GERAN PUTRA INISIATIF PUTRA MUDA, Data Mining Approach for Accurate Shoreline Extraction Model, 2023 - 2025, Source of fund: UPM RM40,000, Status: On-going
Member, GP-IPS - GERAN PUTRA INISIATIF SISWAZAH, Optimal Opcode-based Feature with Meta-Heuristic Algorithms in Gate Recurrent Unit for Higher Accuracy IoT-Based Malware Detection Model, 2024 - 2026, Source of fund: UPM RM20,000, Status: On-going
Member, FRGS - FUNDAMENTAL RESEARCH GRANT SCHEME, An Efficient Edge-Based Lightweight Deep Learning Model for Multi-Resident Activity Recognition in Smart Home Environment, 2023 - 2026, Source of fund: MOHE RM164,000, Status: On-going

PUBLICATIONS

Jurnals

For more recent publications, please visit Google Scholar Link

Mohamed, R., Rafiez, A., Raziff, A., & Nasir, S. M. (2021). A RESAMPLE-SMOTE BALANCE WITH RANDOM FOREST FOR IMPROVING SEMINAL QUALITY PREDICTION IN HEALTHCARE INFORMATICS. ARPN Journal of Engineering and Applied Sciences, 16(21), 2264–2274. Retrieved from http://www.arpnjournals.org/jeas/research_papers/rp_2021/jeas_1121_8740.pdf
Razali, M. N., Moung, E. G., Yahya, F., Hou, C. J., Hanapi, R., Mohamed, R., & Hashem, I. A. T. (2021). Indigenous food recognition model based on various convolutional neural network architectures for gastronomic tourism business analytics. Information (Switzerland), 12(8). https://doi.org/10.3390/info12080322
Mohamed, R., Zainudin, M. N. S., Sulaiman, N., & Perumal, T. (2018). Multi label Classification for Physical Recognition from Various Accelerometer Sensor Positions. Journal of Information and Communication Technology, No. 2(18), 209–231. Retrieved from http://jict.uum.edu.my/images/vol17no2apr18/ms209-231.pdf
Mohamed, R., Perumal, T., Sulaiman, N., Mustapha, N., & Abd Manaf, S. (2017). Tracking and Recognizing the Activity of Multi Resident in Smart Home Environments. Journal of Telecommunication, Electronic and Computer Engineering, 9(2–11), 39–43. Retrieved from http://journal.utem.edu.my/index.php/jtec/article/view/2735/1793
Mohamed, R., Perumal, T., Sulaiman, M. N., & Mustapha, N. (2017). Multi Resident Complex Activity Recognition in Smart Home: A Literature Review. International Journal of Smart Home, Vol. 11(No. 6 (2017)), 21–32. Retrieved from http://www.sersc.org/journals/IJSH/vol11_no6_2017.php
Mohamed, R., Perumal, T., Sulaiman, M. N., Mustapha, N., & Zainudin, M. N. S. (2018). Multi Label Classification on Multi Resident in Smart Home using Classifier Chains. Advanced Science Letters, 24(2), 1316–1319(4). https://doi.org/10.1166/asl.2011.1261
Zainudin, M. N. S., Sulaiman, N., Mustapha, N., Perumal, T., & Mohamed, R. (2018). Two-stage feature selection using ranking self-adaptive differential evolution algorithm for recognition of acceleration activity. Turkish Journal of Electrical Engineering and Computer Sciences, 26(3), 1378–1389. http://doi.org/10.3906/elk-1709-138
Zainudin, M. N. S., Mustapha, N., Perumal, T., & Mohamed, R. (2017). Recognizing Complex Human Activities Using Hybrid Feature Selections Based on an Accelerometer Sensor. International Journal of Technology, 8(5), 968–978. https://doi.org/https://doi.org/10.14716/ijtech.v8i5.7217
Zainudin, M. N. S., Sulaiman, M. N., Mustapha, N., Perumal, T., Ahmad Nazri, A. S., Mohamed, R., & Abd Manaf, S. (2017). Feature Selection Optimization using Hybrid Relief-f with Self-adaptive Differential Evolution. International Journal of Intelligent Engineering and Systems, 10(3), 21–29. https://doi.org/10.22266/ijies2017.0430.03
Zainudin, M. N. S., Sulaiman, N., Musapha, N., Perumal, T., & Mohamed, R. (2018). Solving Classification Problem Using Ensemble Binarization Classifier. International Journal of Engineering & Technology, 7(31), 280–284. Retrieved from https://www.sciencepubco.com/index.php/ijet/issue/view/423

Conferences

Mohamed, R., Perumal, T., Sulaiman, M. N., Mustapha, N., & Zainudin, M. N. S. (2016). Multi Label Classification on Multi Resident in Smart Home using Classifier Chains. In 3rd International Conference on Computational Science and Technology 2016 (ICCST2016) Advanced Science Letters, 24(2), 1316–1319(4). https://doi.org/10.1166/asl.2011.1261

(Presenter)

Mohamed, R., Perumal, T., Sulaiman, M. N., Mustapha, N., & Zainudin, M. N. S. S. (2017). Modeling activity recognition of multi resident using label combination of multi label classification in smart home. In AIP Conference Proceedings (Vol. 1891, pp. 400–407). https://doi.org/10.1063/1.5005427

(Best Paper Award) (Presenter)

Mohamed, R., Perumal, T., Sulaiman, N., Mustapha, N., & Razali, M. N. (2017). Multi-Resident Activity Recognition Using Label Combination Approach in Smart Home Environment. In International Sympossium Consumer Electronics 2017 (pp. 5–7). IEEE. http://doi.org/10.1109/ISCE.2017.8355551

(Presenter)

Mohamed, R., Perumal, T., Sulaiman, M. N., Mustapha, N., & Razali, M. N. (2017). Conflict resolution using enhanced label combination method for complex activity recognition in smart home environment. In 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE) (pp. 1–3). https://doi.org/10.1109/GCCE.2017.8229477

(Presenter)

Zainudin, M. N. S., Mohamed, R., Sulaiman, M. N., Perumal, T., Mustapha, N., & Ahmad Nazri, A. S. (2017). Multi label Classification Using Label Combination to Recognize Human Activity Based on Various Sensor Positions. In ICOCI Kuala Lumpur. Universiti Utara Malaysia (pp. 669–674). Retrieved from http://icoci.cms.net.my/PROCEEDINGS/2017/Pdf_Version_Chap15e/PID63-669-674e.pdf

(Presenter)

Zainudin, M. N. S., Sulaiman, N., Musapha, N., Perumal, T., & Mohamed, R. (2018). Solving Classification Problem Using Ensemble Binarization Classifier. International Conference on Innovations in Computer Science and Engineering (iCiCSE2018), 7(31), 280–284. Retrieved from https://www.sciencepubco.com/index.php/ijet/issue/view/423

(Presenter)

Mohamed, R., Perumal, T., Sulaiman, N., Mustapha, N., & Yamaguchi, S. (2018). Resolution Mechanism Model for Heterogeneous Systems in Smart Home Environment. In 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE)(pp. 574–575). IEEE. http://doi.org/10.1109/GCCE.2018.8574779

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