Publication | Tajul Rosli Razak

Article and Journal

Jarimi, H., Zheng, T., Zhang, Y., Razak, T. R., Ahmad, E. Z., Roshdan, W. N. A. W., ... & Riffat, S. (2024). Solar Photovoltaic-Assisted DC Vapour Compression with a Low-Cost Ice Gel Thermal Battery for Off-Grid Building Cooling. Journal of Building Engineering, 109350. (Q1 Journal. IF: 7.144).

Anuar, N. H., Razak, T. R., & Kamis, N. H. (2024). Advancing Fuzzy Logic: A Hierarchical Fuzzy System Approach. AIUB Journal of Science and Engineering (AJSE), 23(1), 64-70. (indexed by Scopus).

Razak, T. R., Ul-Saufie, A. Z., Yusoff, M. H., Ismail, M. H., Fauzi, S. S. M., & Zaki, N. A. M. (2024) Python scikit-fuzzy: developing a fuzzy expert system for diabetes diagnosis. Int J Artif Intell ISSN, 2252(8938), 1399. (indexed by Scopus).

Kodit, N. S. A., Razak, T. R., Ismail, M. H., Hashim, S., Petra, T. Z. H. T., & Mansor, N. F. (2024). A Movie Recommendations: A Collaborative Filtering Approach Implemented in Python. Journal of Computing Research and Innovation, 9(1), 257-268. (indexed by MyCite).

Zulkiflee, N. I. M., Zaki, N. A. M., Razak, T. R., Omar, H., Tajudin, S., Narashid, R. H., & Nazip, M. (2023). Machine Learning Prediction of Tropical Forest Above-Ground Biomass Estimation. Journal of Sustainability Science and Management, 18(12), 95-110. (indexed by Scopus).

Ahmad, E. Z., Razak, T. R., & Jarimi, H. (2023). Expertise-based systematic guidelines for chiller retrofitting in healthcare facilities. Journal of Building Engineering, 106708. (Q1 Journal. IF: 7.144).

Mohd Zaki, N. A., Mohd Asri, A., Mohd Zulkiflee, N. I., Abd Latif, Z., Razak, T. R., & Suratman, M. N. (2023). Assessment of Forest Aboveground Biomass Estimation from SuperView-1 Satellite Image Using Machine Learning Approaches. In Concepts and Applications of Remote Sensing in Forestry (pp. 115-133). Singapore: Springer Nature Singapore.

Shaziayani, W. N., Ahmat, H., Razak, T. R., Zainan Abidin, A. W., Warris, S. N., Asmat, A., ... & Ul-Saufie, A. Z. (2022). A Novel Hybrid Model Combining the Support Vector Machine (SVM) and Boosted Regression Trees (BRT) Technique in Predicting PM10 Concentration. Atmosphere, 13(12), 2046. (Q2 Journal. IF: 3.11).

Jarimi, H., Al-Waeli, A. H., Razak, T. R., Bakar, M. N. A., Fazlizan, A., Ibrahim, A., & Sopian, K. (2022). Neural network modelling and performance estimation of dual-fluid photovoltaic thermal solar collectors in tropical climate conditions. Renewable Energy, 197, 1009-1019. (Q1 Journal. IF: 8.634).

Ahmad, E. Z., Jarimi, H., & Razak, T. R. (2022). Artificial Neural Network Prediction Model of Dust Effect on Photovoltaic Performance for Residential Applications: Malaysia Case Study. Int. J. Renew. En. Dev, 11(2), 365-373. (indexed by Scopus).

Abd Latif, Z., Ruslan, S.Z., Mohd Zaki, N.A., Suratman, M.N., Omar, H., Razak, T.R., Mohd Fauzi, S.S. & GM Gining, R.A., (2022). Optimization of power transmission line location at tropical forest area in avoiding endangered tree species. Arabian Journal of Geosciences, 15(9), pp.1-14. (indexed by Scopus).

Maskat, R., Musa, R., Ardi, N., Deraman, N.A., Ahmad, Z., Wang, Q., Fauzi, S.S.M., Razak, T.R. and Gining, R.A.J., (2021). Utilising Target Adjacency Information for Multi-target Prediction. Indonesian Journal of Electrical Engineering and Informatics (IJEEI), 9(4). (indexed by Scopus).

Dahalan, A.J., Razak, T. R., Ismail, M. H., Fauzi, S. S. M., & Gining, R. A. J. (2021). Heart Rate Events Classification Via Explainable Fuzzy Logic Systems. IAES International Journal of Artificial Intelligence (IJ-AI), 10(4). (indexed by Scopus).

Roslan, N. N., Jamaluddin, M. N. F., Ibrahim, A. F., Mohd Fauzi, S. S., Razak, T. R., & JM Gining, R. A. (2021). iNutritionApp: Mobile Application for Nutrition Monitoring using FatSecret API. Journal of Computing Research and Innovation, 6(2), 119–127.

Razak, T. R., Fauzi, S. S. M., Gining, R. A. J., Ismail, M. H., & Maskat, R. (2021). Hierarchical Fuzzy Systems: Interpretability and Complexity. Indonesian Journal of Electrical Engineering and Informatics (IJEEI), 9(2). https://doi.org/10.52549/IJEEI.V9I2.2813. (indexed by Scopus).

Razak, T. R., Ismail, M. H., Fauzi, S. S. M., Gining, R. A. J., & Maskat, R. (2021). A Framework to Shape the Recommender System Features Based on Participatory Design and Artificial Intelligence Approaches. IAES International Journal of Artificial Intelligence (IJ-AI), 10(3). (indexed by Scopus).

Razak, T. R., Ismail, M. H., Fauzi, S. S. M., Jamaludin, M. N. F., & Gining, R. A. J. (2021). Assessing Student Programming Skills and Area of Interests in the Final Year Project. International Journal of Computing and Digital Systems, 10(1), 255–264 (indexed by Scopus).

Ray Adderley, J. G., Shukor Sanim, M. F., N.M., Y., Tajul Rosli, R., Mohammad Hafiz, I., Nurul Ain, M. Z., & Fadhilnor, A. (2021). Harumanis mango leaf disease recognition system using image processing technique. Indonesian Journal of Electrical Engineering and Computer Science, 23(1).(indexed by Scopus).

R.A. JM Gining, S.S.M. Fauzi, T.R. Razak, M.N.F. Jamaluddin, M.N.M. Fuad, N.A. Zaki, R. Maskat. (2021). IoT Based Disabled Parking System (DiParkSys) v2.0 Arduino Uno. J. Intelek, vol. 16, no. 1, pp. 166–174, Jan. 2021, doi: 10.24191/ji.v16i1.377. (indexed by MyCITE)

Shah, A. A. I., Fauzi, S. S. M., Gining, R. A. J. M., Razak, T. R., Jamaluddin, M. N. F., & Maskat, R. (2021). A review of iot-based smart waste level monitoring system for smart cities. Indonesian Journal of Electrical Engineering and Computer Science, 21(1). https://doi.org/10.11591/IJEECS.V21.I1.PP%P. (indexed by Scopus).

Razak, T. R., Garibaldi, J. M., Wagner, C., Pourabdollah, A., & Soria, D. (2021). Towards a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach. IEEE Transactions on Fuzzy Systems, 29(5) 1160–1172. DOI:doi.org/10.1109/TFUZZ.2020.2969901. (Q1 Journal. IF: 8.759).

M. N. F. Jamaluddin, N. N. Roslan, A. F. Ibrahim, S. S. M. Fauzi, T. R. Razak, R. A. JM. Gining (2021), iNutritionApp: Mobile Application for Nutrition Monitoring using FatSecret API, Journal of Computing Research and Innovation.

Ismail, M. H., & Razak, T. R. (2020). Predicting the Kijang Emas Bullion Price using LSTM Networks. Journal of Entrepreneurship and Business, 8(2), 11-18. https://doi.org/10.17687/JEB.0802.02. (indexed by MyCITE).

Abqari Rahizad, . M. A., Razak, T. R., Mohd Fauzi, S. S. ., JM Gining, R. A. ., & Ismail, M. H. . (2020). Designing an IoT-based system to detect the out-of-pitch balls in a football match. Journal of Computing Research and Innovation, 5(3), 34-42.

Nazri, N. M. A., Fauzi, S. S. M., Gining, R. A. J. M., Razak, T. R., & Jamaluddin, M. N. F. (2020). Smart Cane for Visually Impaired with Obstacle, Water Detection and GPS. International Journal of Computing and Digital Systems. (indexed by Scopus).

R.A.JM.Gining, S.S.M.Fauzi, T.R.Razak, M.N.F.Jamaluddin & N.A.A.Zahari. (2020). InnoJudS: Web-Based Innovation Judging System. International Journal of Advanced Trends in Computer Science and Engineering (IJATCSE), 9(3). (indexed by Scopus).

Razak, T. R., Halim, I. H. A., Jamaludin, M. N. F., Ismail, M. H., & Fauzi, S. S. M. (2019). An Exploratory Study of Hierarchical Fuzzy Systems Approach in A Recommendation System. Jurnal Intelek, 14(2), 174–186. (indexed by MyCITE).

Razak, T. R., Halim, I. H. A., Jamaluddin, M. N. F., Ismail, M. H., Fauzi, S. S. M., & Gining, R. A. J. (2019). Towards Designing A Hierarchical Fuzzy System for Early Diagnosis of Heart Disease. Journal of Computing Research and Innovation, 4(2), 31-41.

Halim, I. H. A., Abu, N. M. I., Hassan, Razak, T.R., Fikri, M. N., & Jamaluddin, M. H. I. (2019). Reducing Honeypot Log Storage Capacity Consumption–Cron Job with Perl-Script Approach. Journal of Computing Research & Innovation (JCRINN) Vol, 4(1).

Ismail, M. H., Razak, T. R., & Halim, I. H. A. (2019). An Implementation of Internet-connected Indoor Dust Bin Waste Level Monitoring System for Office Use. Journal of Computing Research and Innovation, 4(2), 42-48.

Gining, R. A. J., Fauzi, S. S. M., Jamaluddin, M. N. F., Marizalee, M. A., Razak, T. R., & Sharip, A. A. (2019). The Design and Development of Mobile Application for Parking Reservation System. Journal of Computing Research and Innovation, 4(2), 49-59.

Othman, M., Bakar, M. N. A., Ahmad, K. A., & Razak, T. R. (2014). Fuzzy ripening mango index using RGB colour sensor model. Researchers World, 5(2), 1.

Razak, T. R. (2012). An Expert System Approach for determine the stage of UiTM Perlis Palapes Cadet Performance and Ranking Selection. Journal of Computer Science & Computational Mathematics, 2 (12), 71-74

Razak, T. R., Mohammed, A. H., Noor, N. H. M., & Hashim, M. A. (2012). Automated Data Integration, Cleaning and Analysis Using Data Mining and SPSS Tool for Technical School in Malaysia. International Journal of Computer Science and Security (IJCSS), 6(4), 211.

Proceeding Paper

Ismail, M. H., Razak, T. R., Noor, N. M., & Aziz, A. A. (2024, January). Evaluating Machine Learning Algorithms for Predicting Financial Aid Eligibility: A Comparative Study of Random Forest, Gradient Boosting and Neural Network. In 2024 18th International Conference on Ubiquitous Information Management and Communication (IMCOM) (pp. 1-6). IEEE. (indexed by SCOPUS).

Razak, T. R., Kamis, N. H., Anuar, N. H., Garibaldi, J. M., & Wagner, C. (2023, August). Decomposing Conventional Fuzzy Logic Systems to Hierarchical Fuzzy Systems. In 2023 IEEE International Conference on Fuzzy Systems (FUZZ) (pp. 1-7). IEEE. (indexed by SCOPUS).

Husin, M. R. M., Razak, T. R., Ab Malik, A. M., Nordin, S., & Abdul-Rahman, S. (2023, September). Hybrid Collaborative Movie Recommendation System. In 2023 4th International Conference on Artificial Intelligence and Data Sciences (AiDAS) (pp. 274-280). IEEE. (indexed by SCOPUS).

Razak, T. R., Jarimi, H., & Ahmad, E. Z. (2023, December). Simplified Artificial Neural Network Configuration in R Programming for Predictive Modelling. In 2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE) (pp. 1-6). IEEE. (indexed by SCOPUS).

Ismail, M. H., Razak, T. R., Noor, N. M., & Aziz, A. A. (2023, December). Comparative analysis of machine learning algorithms through visualizations. In 2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE) (pp. 1-5). IEEE. (indexed by SCOPUS).

Aziz, N.H., Narashid, R.H., Razak, T.R., Anshah, S.A., Talib, N., Abd Latif, Z., Hashim, N. and Zainuddin, K., (2023), March. Detection of Bacterial Leaf Blight Disease Using RGB-Based Vegetation Indices and Fuzzy Logic. In 2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA) (pp. 134-139). IEEE. (indexed by SCOPUS).

Razak, T. R., Anuar, N. H., Garibaldi, J. M., & Wagner, C. (2022, July). Modelling Hierarchical Fuzzy Systems for Mango Grading via FuzzyR Toolkit. In 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-8). IEEE. (indexed by SCOPUS).

Razak, T. R., Faizi, N. A. K., Ismail, M. H., Fauzi, S. S. M., & Gining, R. J. (2021, December). Towards Capturing Mango Grading From Human Experts-A Comprehensive User Study. In 2021 6th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE) (Vol. 6, pp. 1-6). IEEE. (indexed by SCOPUS).

Razak, T. R., Chen, C., Garibaldi, J. M., & Wagner, C. (2021). Designing the Hierarchical Fuzzy Systems Via FuzzyR Toolbox. In 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-6). IEEE. (indexed by SCOPUS).

M.H. Ismail, T.R. Razak, R. Gining, S.S.M. Fauzi, & A. Abdul-Aziz (2021), Predicting vehicle parking space availability using multilayer perceptron neural network. IOP Conference Series: Materials Science and Engineering 1176 (1).

Razak, T. R., Garibaldi, J. M., & Wagner, C. (2020). An Improved Complexity Measure in Hierarchical Fuzzy Systems. In 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-8). IEEE. (indexed by SCOPUS).

C. Chen, Razak, T. R., Garibaldi, J. M. (2020). FuzzyR: An Extended Fuzzy Logic Toolbox for the R Programming Language. In 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-8). IEEE. (indexed by SCOPUS).

A.Azuan, R.A.J.M.Gining, S.S.M.Fauzi, T.R.Razak, M.N.F.Jamaluddin (2020), An Identification of Software Requirement for Web Based Judging System. Journal of Physics: Conference Series. DOI:10.1088/1757-899X/767/1/012033 (indexed by SCOPUS).

Ismail, M. H., Razak, T. R., & Bulot, N. (2020) Forecasting Kijang Emas Gold Bullion Price from Time-Series Data with LSTM Networks.. The international Social Science Conference: Business, Management and Entrepreneurship (BizMEnt).

Jamaluddin, M.N.F., Malik, S.N.A., Fauzi,S.S.M., Razak, T.R., Halim, I.H.A, Mohammed, A.H., Gining. R.A.JM., (2020) An Application of Presumptive Diagnosis for Urinary Tract Infection via kNN Algorithm Approach. In: Alias N., Yusof R. (eds) Charting the Sustainable Future of ASEAN in Science and Technology. Springer, Singapore

Razak, T. R., Garibaldi, J. M., & Wagner, C. (2019, June). A measure of structural complexity of hierarchical fuzzy systems adapted from software engineering. In 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-7). IEEE. (indexed by SCOPUS).

Razak, T. R., Garibaldi, J. M., Wagner, C., Pourabdollah, A., & Soria, D. (2018, November). Interpretability and Complexity of Design in the Creation of Fuzzy Logic Systems—A User Study. In 2018 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 420-426). IEEE. (indexed by SCOPUS).

Razak, T. R., Garibaldi, J. M., Wagner, C., Pourabdollah, A., & Soria, D. (2017, July). Interpretability indices for hierarchical fuzzy systems. In 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-6). IEEE. (indexed by SCOPUS).

Othman, M., Bakar, M. N. A., Ahmad, K. A., & Razak, T. R. (2016). Mango Size Classification Using RGB Color Sensor and Fuzzy Logic Technique. In Regional Conference on Science, Technology and Social Sciences (RCSTSS 2014) (pp. 287-296). Springer, Singapore.

Fuzi, M., Noor, N., Razak, T.R., Halim, I., & Hashim, M. (2015). Algorithm Animation of Cryptanalysis S-DES as an e-Learning Tool for Network Security Students. CCSME 2015 Proceedings, 42-47.

Ismail, M. H., Razak, T. R., Hashim, M. A., & Ibrahim, A. F. (2015). A Simple Recommender Engine for Matching Final-Year Project Student with Supervisor. Colloquium in Computer and Mathematical Sciences Education (CCMSE 2015), 127.

Noor, N. M., Razak, T. R., Halim, I. H. A., Hashim, M. A., & Azim, A. F. (2014, December). Technical considerations on the use of Web 2.0 application as telemedicine software tool. In 2014 International Conference on Computer Assisted System in Health (pp. 73-76). IEEE. (indexed by SCOPUS).

Fuzi, M.F.M., Halim, I.H.A, Razak, T.R., Zainuddin, K., Aziz, A.A. (2014). Mobile Heart Rate (HR) Mediator, In Proceedings of International Sciences, Technology and Engineering Conference (ISTEC 2014), UiTM Perlis.

Razak, T. R., Hashim, M. A., Noor, N. M., Halim, I. H. A., & Shamsul, N. F. F. (2014, June). Career path recommendation system for UiTM Perlis students using fuzzy logic. In 2014 5th International Conference on Intelligent and Advanced Systems (ICIAS) (pp. 1-5). IEEE. (indexed by SCOPUS).

Razak, T. R., Wahab, R. A., & Ramli, M. H. (2013, November). Dengue notification system using fuzzy logic. In 2013 International Conference on Computer, Control, Informatics and Its Applications (IC3INA) (pp. 231-235). IEEE. (indexed by SCOPUS).

Razak, T. R., Othman, M. B., bin Abu Bakar, M. N., & bt Ahmad, K. A. (2013). A fuzzy expert system for early symptoms detection of bird flu disease. In Humanities, Science and Engineering Research (SHUSER), 2013 IEEE Symposium on.

Othman, M., Ahmad, K. A., Nazari, M., Bakar, A., Mansor, R., & Razak, T. R. (2012). Computer Vision and Data Mining based Classifier for Automated Chokanan Mango Grading. In Technology, Science, Social Sciences and Humanities International Conference 2012 (pp. 1-11).

Razak, T. R., Othman, M. B., bin Abu Bakar, M. N., bt Ahmad, K. A., & Mansor, A. R. (2012, May). Mango grading by using fuzzy image analysis. In International Conference on Agricultural, Environment and Biological Sciences (ICAEBS'2012). May 26-27, 2012 Phuket

Razak, T. R., (2012). Measuring Palapes UiTM Perlis Cadets Performance for Promotion Next Higher Rank using Expert System. In Proceedings of Conference on Computer Science & Computational Mathematics (CCSCM 2012), Feb 2012, Melaka.

Noor, N. M., Baharom, F., Razak, T. R., & Hapes, A. (2011). Using UML Notation for Presenting Generic Requirements and Design of Effective School Parents Interaction System (SPIS), (2011). In Proceedings of 2nd International Conference on Public Policies & Social Sciences (IcoPS 2011), 31 Oct 2011 – 1 Nov 2011, Sarawak.

Razak, T. R., Noor, N. B. M., & Mohammed, A. H. (2011). Automated Data Integration, Cleaning and Analysis for Technical Schools Data Management In Malaysia. In Proceedings of 2nd International Conference on Public Policies & Social Sciences (ICoPS), 31 Oct 2011 – 1 Nov 2011, Sarawak

Other publications

Tajul Rosli Razak (2021) Parallel HFS - IRIS Classification Problem [Source Code]. https://doi.org/10.24433/CO.0561629.v3

Chao Chen, Jon Garibaldi, T.R. Razak, (2021), FuzzyR: Fuzzy Logic Toolkit For R. [R Package]

Tajul Rosli Razak, Jonathan M. Garibaldi, Christian Wagner, Amir Pourabdollah, Daniele Soria (2020) H Framework : Interpretability Assessment [Source Code]. https://doi.org/10.24433/CO.3556006.v1