| Development of fire fighting robot (QROB) M Aliff, NS Sani, MI Yusof, A Zainal International Journal of Advanced Computer Science and Applications 10 (1), 2019 | 90 | 2019 |
| Machine learning approach for bottom 40 percent households (B40) poverty classification NS Sani, MA Rahman, AA Bakar, S Sahran, HM Sarim Int. J. Adv. Sci. Eng. Inf. Technol 8 (4-2), 1698, 2018 | 59 | 2018 |
| Malware detection using deep learning and correlation-based feature selection ES Alomari, RR Nuiaa, ZAA Alyasseri, HJ Mohammed, NS Sani, MI Esa, ... Symmetry 15 (1), 123, 2023 | 49 | 2023 |
| Online clustering of evolving data streams using a density grid-based method M Tareq, EA Sundararajan, M Mohd, NS Sani IEEE Access 8, 166472-166490, 2020 | 44 | 2020 |
| Automatic malignant and benign skin cancer classification using a hybrid deep learning approach A Bassel, AB Abdulkareem, ZAA Alyasseri, NS Sani, HJ Mohammed Diagnostics 12 (10), 2472, 2022 | 43 | 2022 |
| Ensemble learning for multidimensional poverty classification A Abu, R Hamdan, NS Sani Sains Malaysiana 49 (2), 447-459, 2020 | 40 | 2020 |
| Drop-out prediction in higher education among B40 students NS Sani, AFM Nafuri, ZA Othman, MZA Nazri, KN Mohamad International Journal of Advanced Computer Science and Applications 11 (11), 2020 | 36 | 2020 |
| Feature selection for phishing website classification S Shabudin, NS Sani, KAZ Ariffin, M Aliff International Journal of Advanced Computer Science and Applications 11 (4), 2020 | 36 | 2020 |
| The deep learning solutions on lossless compression methods for alleviating data load on IoT nodes in smart cities A Nasif, ZA Othman, NS Sani Sensors 21 (12), 4223, 2021 | 35 | 2021 |
| Redefining selection of features and classification algorithms for room occupancy detection NS Sani, IIS Shamsuddin, S Sahran, AHA Rahman, EN Muzaffar International Journal on Advanced Science, Engineering and Information …, 2018 | 28 | 2018 |
| Malay version of the mHealth app usability questionnaire (M-MAUQ): translation, adaptation, and validation study N Mustafa, NS Safii, A Jaffar, NS Sani, MI Mohamad, AH Abd Rahman, ... JMIR mHealth and uHealth 9 (2), e24457, 2021 | 26 | 2021 |
| Predicting COVID-19 based on environmental factors with machine learning AB Abdulkareem, NS Sani, S Sahran, ZAA Alyessari, A Adam, ... Intelligent Automation & Soft Computing 28 (2), 305-320, 2021 | 25 | 2021 |
| Household overspending model amongst B40, M40 and T20 using classification algorithm ZA Othman, AA Bakar, NS Sani, J Sallim International Journal of Advanced Computer Science and Applications 11 (7), 2020 | 25 | 2020 |
| Ensemble learning for rainfall prediction NS Sani, AH Abd Rahman, A Adam, I Shlash, M Aliff International Journal of Advanced Computer Science and Applications 11 (11), 2020 | 24 | 2020 |
| Water quality index classification based on machine learning: A case from the Langat River Basin model IIS Shamsuddin, Z Othman, NS Sani Water 14 (19), 2939, 2022 | 23 | 2022 |
| Enhancing web search result clustering model based on multiview multirepresentation consensus cluster ensemble (mmcc) approach A Sabah, S Tiun, NS Sani, M Ayob, AY Taha PloS one 16 (1), e0245264, 2021 | 23 | 2021 |
| Ligand-based virtual screening using a genetic algorithm with data fusion J Holliday, N Sani, P Willett Match: Communications in Mathematical and in Computer Chemistry 80 (3), 2018 | 23 | 2018 |
| A clustering approach to identify multidimensional poverty indicators for the bottom 40 percent group M Abdul Rahman, NS Sani, R Hamdan, Z Ali Othman, A Abu Bakar PloS one 16 (8), e0255312, 2021 | 21 | 2021 |
| Machine learning for predicting employee attrition N Mansor, NS Sani, M Aliff Int. J. Adv. Comput. Sci. Appl 12 (11), 2021 | 21 | 2021 |
| Calculation of substructural analysis weights using a genetic algorithm JD Holliday, N Sani, P Willett Journal of chemical information and modeling 55 (2), 214-221, 2015 | 21 | 2015 |
