Noorfadzli bin Abdul Razak

@uitm.edu.my

Head for Innovative Electromobility (ITEM) Research Lab Faculty of Electrical Engineering
Universiti Teknologi MARA

RESEARCH INTERESTS

Autonomous Control , Embedded System , Automation and Robotics
48

Scopus Publications

504

Scholar Citations

10

Scholar h-index

12

Scholar i10-index

Scopus Publications

  • ADVANCES IN MACHINE LEARNING-BASED RAINFALL FORECASTING: A SYSTEMATIC REVIEW
    Muhammad Izaaz Hazmii Suhaimi, Juliana Johari, Fazlina Ahmat Ruslan, Mohd Azri Abdul Aziz, Noorfadzli Abdul Razak
    Jurnal Teknologi, 2026
    Rainfall forecasting plays a critical role in managing water resources, reducing the risks of extreme weather, and supporting agriculture. Traditional methods such as Numerical Weather Prediction (NWP) and statistical models often struggle with accuracy and scalability, especially when dealing with localized weather conditions or extreme events. In recent years, machine learning (ML) has emerged as a powerful tool for identifying complex patterns in meteorological data. This review explores the progress of ML-based rainfall forecasting from 2014 to 2024. It organizes the literature into five main groups: Traditional Machine Learning models, General Neural Networks, Deep Learning models like LSTM and CNN, Ensemble techniques, and Hybrid models. The paper also highlights key trends through an N-gram analysis of publications from Scopus and Web of Science. The main contributions of this review include an overview of model development over the last decade, a comparison of model performance across different forecasting scenarios, and a summary of which models are best suited for various data environments. While ML models show strong potential, they also face ongoing challenges such as overfitting, high computational costs, and limited interpretability. This review concludes by identifying future research directions to improve the efficiency, transparency, and real-world applicability of ML-based rainfall forecasting.
  • An Image Processing Technique for Lane Path Detection in Palm Oil Plantation
    Noorfadzli Abdul Razak, Aina Madihah Kamarudzaman, Juliana Johari, Mohd Azri Abdul Aziz, Fazlina Ahmat Ruslan, et al.
    International Journal of Integrated Engineering, 2025
  • Evaluating Ai-Based Models for Energy Economy Nexus Analysis: a Focus on Hydroelectric Power
    Aliaa Aqilah Nor Azman, Mohd Azri Abdul Aziz, Noorfadzli Abdul Razak, Mahanijah Md Kamal
    IEEE 8th International Conference on Electrical Control and Computer Engineering Inecce 2025 Proceedings, 2025
  • Vehicle-to-Vehicle Communication: A Review of Efficiency, Communication Medium and Action Signal
    Nur Izzati Anaz Anizan, Fazlina Ahmat Ruslan, Noorfadzli Abdul Razak, Mohd Azri Abdul Aziz, Juliana Johari
    International Journal of Automotive and Mechanical Engineering, 2025
    In an era marked by rapid advancement in technology, transportation systems are experiencing a revolutionary transformation. Vehicle-to-Vehicle (V2V) communication stands at the forefront of this transformative movement, with the potential to significantly change the ways how vehicles interact with one another and their surrounding environment. This newly developed technology has the capacity to significantly improve road safety, traffic efficiency, and every aspect of the driving experience. Thus, a review of V2V communication based on its safety, efficiency of traffic on the road, the medium of communication and the action signal have been made. The purpose of the review on this technology is to examine the possibility of enhancing safety measures that may include walking, motorcyclists, cyclists, and drivers on the road. A comprehensive review of publications about safety, technology for communication, and signal reception in vehicles was conducted, along with an analysis of the articles that followed. Notably, the quest encompassed three prominent databases – IEEE Xplore, ScienceDirect, and Web of Science – covering the period from 2002 to 2023. These repositories were deemed adequately comprehensive to envelop our literature review. Through the application of predefined criteria for inclusion and exclusion, a total of 125 articles were curated. Among this compilation, a majority (63 out of 125) were dedicated to studies centered around V2V communication systems. Furthermore, a significant subset (44 out of 125) revolved around tangible endeavors directed at the advancement of V2V communications. The remaining fraction (18 out of 125) comprised articles offering comprehensive assessments and survey analyses. Multiple investigations were conducted with a focus on automating the detection of V2V communications and their respective subcategories, all geared towards the enhancement of detection accuracy. Therefore, this systematic review is intended to provide pathways for researchers and encourage their motivation to address the identified problems and gaps.
  • Modelling and estimating trajectory points from RTK-GNSS based on an integrated modelling approach
    Ravenny Sandin Nahar, Kok Mun Ng, Fadhlan Hafizhelmi Kamaruzaman, Noorfadzli Abdul Razak, Juliana Johari
    Indonesian Journal of Electrical Engineering and Computer Science, 2024
    The sparse Gaussian process regression (GPR) has been used to model trajectory data from Real time kinematics-global navigation satellite system (RTK-GNSS). However, upon scrutinizing the model residuals; the sparse GPR model poorly fits the data and exhibits presence of correlated noise. This work attempts to address these issues by proposing an integrated modeling approach called GPR-LR-ARIMA where the sparse GPR was integrated with the linear regression with autoregressive integrated moving average errors (LR-ARIMA) to further enhance the description of the trajectory data. In this integrated approach, the predicted trajectory points from the GPR were further described by the LR-ARIMA. Simulation of the GPR-LR-ARIMA on three sets of trajectory data indicated better model fit, revealed in the normally distributed model residuals and symmetrically distributed scatter plots. Correlated noise was also successfully eliminated by the model. The GPR-LR-ARIMA outperformed both the GPR and LRARIMA by its ability to improve mean-absolute-error in 2-dimension positioning by up to 86%. The GPR-LR-ARIMA contributes to enhancement of positioning accuracy of dynamic GNSS measurements in localization and navigation system with good model fit.
  • Research on the Application of Adaptive Parameter Adjustment Strategy in RBF Kernel SVM Image Classification
    Xu Zhipeng, Mohd Azri Abdul Aziz, Noorfadzli Abdul Razak
    2024 6th IEEE Symposium on Computers and Informatics Isci 2024, 2024
    Support Vector Machine (SVM) is a powerful machine learning model with extensive applications in fields such as image classification. The reasonable setting of kernel parameters is crucial for the performance of RBF kernel functions in SVMs. Traditional methods require manually specifying parameters or obtaining parameters through grid search, which results in high computational costs and unsatisfactory results. Therefore, we propose an adaptive parameter adjustment strategy that dynamically adjusts the RBF kernel parameters based on the characteristics of training data, continuously optimizing the performance of SVM classifiers. We evaluated the proposed strategy on the autonomous vehicle dataset and found that compared with the default setting parameters or grid search parameters, this adaptive strategy can significantly improve the classification accuracy, reaching the best accuracy of 0.992 on the autonomous vehicle dataset. Its computational time is 2.443 seconds and better than grid search. This strategy has the advantages of no manual intervention and high computational efficiency, providing an effective parameter tuning scheme for the application of RBF kernel SVMs in image classification and other fields.
  • Performance Evaluation of Support Vector Machine Algorithm in Object Classification Using Different Preprocessing Methods
    Xu Zhipeng, Mohd Azri Abdul Aziz, Noorfadzli Abdul Razak
    2024 IEEE International Conference on Automatic Control and Intelligent Systems I2cacis 2024 Proceedings, 2024
    Support Vector Machines (SVMs) are excellent tools in the field of machine learning that are well suited for classification and regression problems. However, SVM is highly sensitive to data. In recent years, many researchers have continued to use various data preprocessing methods to improve model performance. Nevertheless, there is a lack of comparison of multiple datasets preprocessing methods, and there is also a lack of experiments on classification targets. This research aims to compare the performance of different preprocessing methods by using vector machines with radial basis function (RBF) kernel support. Three data sets of pedestrians, vehicles, and traffic signs are classified, and four common data preprocessing methods are used: data cleaning, feature selection, feature scaling, and dimensionality reduction. Observing the results through the use of assessment metrics accuracy, precision, recall, and F1 score. The experiment shows that the preprocessing method of feature selection is superior to the other three preprocessing methods. It achieves an accuracy of 0.985, a precision of 0.986, a recall rate of 0.985 and an F1 score of 0.986. This research has important research significance for automatic driving target classification.
  • Characterization of Bio-Cement Reinforced with Eggshell Composites
    R. Rosmamuhamadani
    Journal of Mechanical Engineering, 2024
    Eggshells are an interesting inorganic compound with a chemical composition and crystallographic structure similar to that of CaCO3. This study aims to acquire a better understanding of the use of eggshells, which are commercially incorporated into cement mixtures, to increase the mechanical strength of cement-eggshell composite. The cement mixture was prepared by incorporating different compositions (5, 10, and 15 wt.%) of eggshell powder. The raw eggshells were cleaned, crushed, dried, sieved into small pieces, and mixed with the cement according to the desired composition. Analysis of the eggshell powder showed similar peaks to CaCO3, indicating that eggshells can be used as a calcium source. The results indicated that the addition of 10 wt.% finely ground eggshell powder improved the compressive and flexural strength of the cement mix. It was also found that eggshell powder can potentially be used as a filler, as it exhibited the highest water absorption at 15 wt.%. The use of eggshells as a reinforcing component in environmentally friendly cement mixes has the potential to improve the environment by reducing waste, the need for conventional cement resources, and the pollution caused by excessive cement mining.
  • Dexmedetomidine and Propofol Sedation in Critically Ill Patients and Dose-associated 90-Day Mortality
    Yahya Shehabi, Ary Serpa Neto, Rinaldo Bellomo, Belinda D. Howe, Yaseen M. Arabi, et al.
    American Journal of Respiratory and Critical Care Medicine, 2023
    RATIONALE Sedation Practice in Intensive Care Evaluation (SPICE-III) trial reported significant heterogeneity in mortality with dexmedetomidine treatment. Supplemental propofol was commonly used to achieve desirable sedation. OBJECTIVES to quantify the association of different infusion rates of dexmedetomidine or propofol, given in combination, with mortality and if this is modified by age. METHODS AND MEASUREMENTS We included 1177 patients randomized in SPICE-III to receive dexmedetomidine and given supplemental propofol, stratified by age (>65 or ≤65 years). We used double stratification analysis to produce quartiles of steady infusion rates of dexmedetomidine, while escalating propofol dose and vice versa. We used Cox proportional hazard and multivariable regression, adjusted for relevant clinical variable to evaluate the association of sedative dose with 90-day mortality. MAIN RESULTS Younger patients 598/1177(50.8%) received a significantly higher dose of both sedatives compared with older patients, to achieve comparable sedation depth. On double stratification analysis, escalating infusion rates of propofol to 1.27 mg/kg/h at a steady dexmedetomidine infusion rate (0.54 mcg/kg/h) was associated with reduced adjusted mortality in younger, but not older patients. This was consistent with multivariable regression modelling [hazard ratio: 0.59(95% Confidence Interval 0.43-0.78),P<0.0001], adjusted for baseline risk and interaction with dexmedetomidine dose. In contrast, among younger patients using multivariable regression, escalating dexmedetomidine infusion rate was associated with increased adjusted mortality [HR:1.30(95%CI 1.03-1.65), P=0.029]. CONCLUSION In patients ≤ 65 years sedated with dexmedetomidine and propofol combination, preferentially increasing the dose of propofol was associated with decreased adjusted 90-day mortality. Conversely, increasing dexmedetomidine may be associated with increased mortality. Clinical trial registration available at www. CLINICALTRIALS gov, ID: NCT01728558.
  • Switching Circuit For Automated Air Conditioner Control And Energy Saving In Classrooms
    Nurwani Mohd Redzuan, Farah Yasmin Abdul Rahman, Norashikin M. Thamrin, Noorfadzli Abdul Razak, Megat Syahirul Amin Megat Ali, et al.
    2023 IEEE Symposium on Computers and Informatics Isci 2023, 2023
    This project introduces an energy-efficient switching circuit designed for automating classroom air conditioning, thereby contributing to electricity conservation. With the growing demand for electricity worldwide, it is imperative to devise economical strategies for optimizing power usage. Recent advancements have resulted in intelligent technologies such as smart thermostats, power outlets, and lighting systems, all aimed at optimizing electricity consumption. Taking inspiration from smart thermostats, which modulate home heating and cooling based on ambient temperature, the proposed system employs a sound sensor to detect human presence within a classroom. When absence is detected, the air conditioning system is automatically deactivated, leading to significant energy savings. The circuit’s implementation is user-friendly, eliminating the need to replace the existing air conditioning switch. Therefore, this switch circuit presents an opportunity for classrooms to reduce their energy footprint without compromising on comfort.
  • Investigation of Object Detection and Identification at Different Lighting Conditions for Autonomous Vehicle Application
    Noorfadzli Abdul Razak, Nur Alya Aqilah Sabri, Juliana Johari, Fazlina Ahmat Ruslan, Mahanijah Md. Kamal, et al.
    International Journal of Automotive and Mechanical Engineering, 2023
  • A Lane Detection Using Image Processing Technique for Two-Lane Road
    Noorfadzli bin Abdul Razak, Muhammad Zaim bin Mazlan, Juliana Binti Johari, Syahrul Afzal Bin Che Abdullah, Ng Kok Mun
    2022 IEEE 10th Conference on Systems Process and Control Icspc 2022 Proceedings, 2022
  • Design and Development of Modular and Open System (MOST) for Pandemic Precaution
    Noorfadzli Abdul Razak, Muhammad Rafie Bin Sazali, Juliana Johari, Noor Azlina Mohd Salleh, Yupiter Harangan Prasada Manurung, et al.
    Lecture Notes in Electrical Engineering, 2022
  • Publication Management System using Scopus API
    Badrul Hisham Fitri Mohd Ijazi, Syahrul Afzal Che Abdullah, Ng Kok Mun, Norashikin M. Thamrin, Noorfadzli Abdul Razak, et al.
    2022 IEEE 10th Conference on Systems Process and Control Icspc 2022 Proceedings, 2022
  • Analysis of Training Function for NNARX in Solar Radiation Prediction Modeling
    Mohd Rizman Sultan Mohd, Juliana Johari, Fazlina Ahmat Ruslan, Noorfadzli Abdul Razak, Salmiah Ahmad, et al.
    Lecture Notes in Electrical Engineering, 2022
  • Evaluation of Dynamic Measurements from RTK-GNSS Operating in Sub-urban Environment
    R. S. Nahar, K. M. Ng, J. Johari, M. M. Kamal, N.A. Razak
    2021 IEEE 12th Control and System Graduate Research Colloquium Icsgrc 2021 Proceedings, 2021
  • Development of Self-Operating Solar Energy Potential Measuring Devices using Simple Microcontroller Setup
    Mohd Rizman Sultan Mohd, Muhammad Syakir Abdullah, Fazlina Ahmat Ruslan, Juliana Johari, Noorfadzli Abdul Razak, et al.
    2021 IEEE 12th Control and System Graduate Research Colloquium Icsgrc 2021 Proceedings, 2021
  • Analysis on Parameter Effect for Solar Radiation Prediction Modeling using NNARX
    Mohd Rizman Sultan Mohd, Juliana Johari, Fazlina Ahmat Ruslan, Noorfadzli Abdul Razak, Salmiah Ahmad, et al.
    2021 IEEE International Conference on Automatic Control and Intelligent Systems I2cacis 2021 Proceedings, 2021
  • Early sedation with dexmedetomidine in ventilated critically ill patients and heterogeneity of treatment effect in the SPICE III randomised controlled trial
    Yahya Shehabi, Ary Serpa Neto, Belinda D. Howe, Rinaldo Bellomo, Yaseen M. Arabi, et al.
    Intensive Care Medicine, 2021
  • Comparison between Ziegler-Nichols and AMIGO Tuning Techniques in Automated Steering Control System for Autonomous Vehicle
    Nadia Nabilah Binti Mohd Mazlan, Norashikin M. Thamrin, Noorfadzli Abdul Razak
    2020 IEEE International Conference on Automatic Control and Intelligent Systems I2cacis 2020 Proceedings, 2020
  • Real-Time Optimal Trajectory Correction (ROTC) for Autonomous Quadrotor
    Noorfadzli Abdul Razak, Ramli Adnan, Norashikin M. Thamrin, Ng Kok Mun, Juliana Johari
    Proceedings 9th IEEE International Conference on Control System Computing and Engineering Iccsce 2019, 2019
  • Real-time optimal trajectory correction (ROTC) for autonomous omnidirectional robot
    Noorfadzli Abdul Razak, Nor Hashim Mohd Arshad, Ramli bin Adnan, Norashikin M. Thamrin, Ng Kok Mun
    Lecture Notes in Electrical Engineering, 2019
  • Remote air quality monitoring system by using MyRIO-LabVIEW
    Kok Mun Ng, Muhamad Azri Haziq Mohd Suhaimi, Adizul Ahmad, N.A. Razak
    2018 9th IEEE Control and System Graduate Research Colloquium Icsgrc 2018 Proceeding, 2018
  • Development and experimental study on pareto optimum design of cyclone separator
    Kok Mun Ng, Ahmad Shafiee Harfin, N.A. Razak, M.A. Masduki
    2018 9th IEEE Control and System Graduate Research Colloquium Icsgrc 2018 Proceeding, 2018
  • Coagulant from Leucaena leucocephala for Chromium Removal
    N H Abd Razak, N Khairuddin, K N Ismail, M Musa
    Iop Conference Series Materials Science and Engineering, 2018

RECENT SCHOLAR PUBLICATIONS

  • Evaluating Ai-Based Models for Energy Economy Nexus Analysis: a Focus on Hydroelectric Power
    AAN Azman, MAA Aziz, NA Razak, MM Kamal
    2025 IEEE 8th International Conference on Electrical, Control and Computer … , 2025
    2025
  • An Image Processing Technique for Lane Path Detection in Palm Oil Plantation
    NA Razak, AM Kamarudzaman, J Johari, MAA Aziz, FA Ruslan, ...
    International Journal of Integrated Engineering 17 (2), 113-125 , 2025
    2025
    Citations: 1
  • Vehicle-to-Vehicle Communication: A Review of Efficiency, Communication Medium and Action Signal
    NIA Anizan, FA Ruslan, NA Razak, MAA Aziz, J Johari
    International Journal of Automotive and Mechanical Engineering 22 (1), 11986 … , 2025
    2025
    Citations: 2
  • On the Influence of Clamping Force
    NA Alang, IU Ferdous, J Alias, NAA Razak
    Proceedings of the 10th International Conference on Mechanical, Automotive … , 2024
    2024
  • Research on the Application of Adaptive Parameter Adjustment Strategy in RBF Kernel SVM Image Classification
    X Zhipeng, MAA Aziz, NA Razak
    2024 IEEE 6th Symposium on Computers & Informatics (ISCI), 138-145 , 2024
    2024
    Citations: 3
  • Performance Evaluation of Support Vector Machine Algorithm in Object Classification Using Different Preprocessing Methods
    X Zhipeng, MAA Aziz, NA Razak
    2024 IEEE International Conference on Automatic Control and Intelligent … , 2024
    2024
    Citations: 4
  • On the Influence of Clamping Force and Contact Friction in Small Punch Test
    NA Alang, IU Ferdous, J Alias, NAA Razak, AH Ahmad
    International Conference on Mechanical, Automotive and Materials Engineering … , 2023
    2023
    Citations: 1
  • Switching Circuit For Automated Air Conditioner Control And Energy Saving In Classrooms
    NM Redzuan, FYA Rahman, NM Thamrin, NA Razak, MSAM Ali, ...
    2023 IEEE Symposium on Computers & Informatics (ISCI), 58-62 , 2023
    2023
    Citations: 1
  • Investigation of object detection and identification at different lighting conditions for autonomous vehicle application
    NA Razak, NAA Sabri, J Johari, FA Ruslan, MM Kamal, MAA Aziz
    International Journal of Automotive and Mechanical Engineering 20 (3), 10649 … , 2023
    2023
    Citations: 3
  • Application of response surface methodology for parameter optimization of aluminum 7075 thixoforming feedstock billet production
    A Megalingam, AH Ahmad, NA Alang, J Alias, NAA Razak
    Journal of Materials Engineering and Performance 32 (13), 5919-5931 , 2023
    2023
    Citations: 11
  • Density and nest-site selection of invasive mynas and starlings in urban and sub-urban areas in western Sarawak, Malaysia
    S Azizi, MFS Ramji, NW Teng, NAA Razak, HJN Ilan, J Mohd-Azlan
    Journal of Sustainability Science and Management 18 (4), 191-201 , 2023
    2023
    Citations: 3
  • Publication management system using scopus API
    BHFM Ijazi, SAC Abdullah, NK Mun, NM Thamrin, NA Razak, ZHC Soh
    2022 IEEE 10th Conference on Systems, Process & Control (ICSPC), 313-318 , 2022
    2022
    Citations: 1
  • Characterization of Produced Water from Petroleum Hydrocarbons Terminal.
    NA Razak, H Mukhtar, DF Mohshim
    Journal of Positive School Psychology 6 (3) , 2022
    2022
    Citations: 3
  • Design and Development of Modular and Open System (MOST) for Pandemic Precaution
    NA Razak, MRB Sazali, J Johari, NAM Salleh, YHP Manurung, NK Mun
    Proceedings of the 8th International Conference on Computational Science and … , 2022
    2022
  • Analysis of Training Function for NNARX in Solar Radiation Prediction Modeling
    MRS Mohd, J Johari, FA Ruslan, NA Razak, S Ahmad, ASM Shah
    Proceedings of the 8th International Conference on Computational Science and … , 2022
    2022
    Citations: 3
  • An evaluation of alternative fuels’ spray penetration at various spray cone angles and injection pressures using a simple evaporation model
    J Lim, NA Razak, NM Mazlan
    Biofuels 13 (3), 321-331 , 2022
    2022
    Citations: 6
  • Effect of Artificial Aging on the Microstructure and Mechanical Properties of AJ62 Magnesium Alloys
    MIM Ramli, MAF Romzi, J Alias, NAA Razak
    International Conference on Mechanical Engineering Research, 339-348 , 2021
    2021
  • Prediction of solvation properties of low transition temperature mixtures (LTTMs) using COSMO-RS and NMR approach
    NR Yusuf, S Yusup, CL Yiin, PJ Ratri, AA Halim, NA Razak
    IOP Conference Series: Materials Science and Engineering 1195 (1), 012006 , 2021
    2021
    Citations: 10
  • Evaluation of dynamic measurements from RTK-GNSS operating in sub-urban environment
    RS Nahar, KM Ng, J Johari, MM Kamal, NA Razak
    2021 IEEE 12th Control and System Graduate Research Colloquium (ICSGRC), 93-98 , 2021
    2021
    Citations: 1
  • Development of Self-Operating Solar Energy Potential Measuring Devices using Simple Microcontroller Setup
    MRS Mohd, MS Abdullah, FA Ruslan, J Johari, NA Razak, S Ahmad, ...
    2021 IEEE 12th Control and System Graduate Research Colloquium (ICSGRC), 51-56 , 2021
    2021
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Physical and optical properties of Dy3+: Li2O–K2O–B2O3 glasses
    SA Azizan, S Hashim, NA Razak, MHA Mhareb, YSM Alajerami, ...
    Journal of Molecular Structure 1076, 20-25 , 2014
    2014
    Citations: 143
  • Impact of Eu 3+ Ions on Physical and Optical Properties of Li 2 O-Na 2 O-B 2 O 3 Glass
    NA Razak, S Hashim, MHA Mhareb, YSM Alajerami, SA Azizan, ...
    Chinese Journal of Chemical Physics 29 (3), 395-400 , 2016
    2016
    Citations: 53
  • Single infra-red sensor technique for line-tracking autonomous mobile vehicle
    NM Arshad, MF Misnan, NA Razak
    2011 IEEE 7th international colloquium on signal processing and its … , 2011
    2011
    Citations: 25
  • Comparison between ziegler-nichols and amigo tuning techniques in automated steering control system for autonomous vehicle
    NNBM Mazlan, NM Thamrin, NA Razak
    2020 IEEE International Conference on Automatic Control and Intelligent … , 2020
    2020
    Citations: 23
  • Vision-based detection technique for effective line-tracking autonomus vehicle
    NM Arshad, NA Razak
    2012 IEEE 8th International Colloquium on Signal Processing and its … , 2012
    2012
    Citations: 20
  • Emotional intelligence from the perspectives of Malaysian helping professionals: A qualitative study
    IHA Tharbe, M Sumari, KM Ng, NAA Razak, S Amat
    Pertanika J. Soc. Sci. & Hum 28 (4), 1-18 , 2020
    2020
    Citations: 19
  • Remote air quality monitoring system by using MyRIO-LabVIEW
    KM Ng, MAHM Suhaimi, A Ahmad, NA Razak
    2018 9th IEEE Control and System Graduate Research Colloquium (ICSGRC), 105-109 , 2018
    2018
    Citations: 19
  • Simultaneous localization and mapping based real-time inter-row tree tracking technique for unmanned aerial vehicle
    NM Thamrin, NHM Arshad, R Adnan, R Sam, NA Razak, MF Misnan, ...
    2012 IEEE International Conference on Control System, Computing and … , 2012
    2012
    Citations: 17
  • Investigation of pouring temperature and holding time for semisolid metal feedstock production
    NA Razak, AH Ahmad, MM Rashidi
    IOP Conference Series: Materials Science and Engineering 257 (1), 012085 , 2017
    2017
    Citations: 13
  • Application of response surface methodology for parameter optimization of aluminum 7075 thixoforming feedstock billet production
    A Megalingam, AH Ahmad, NA Alang, J Alias, NAA Razak
    Journal of Materials Engineering and Performance 32 (13), 5919-5931 , 2023
    2023
    Citations: 11
  • Prediction of solvation properties of low transition temperature mixtures (LTTMs) using COSMO-RS and NMR approach
    NR Yusuf, S Yusup, CL Yiin, PJ Ratri, AA Halim, NA Razak
    IOP Conference Series: Materials Science and Engineering 1195 (1), 012006 , 2021
    2021
    Citations: 10
  • Fabricate optical microfiber by using flame brushing technique and coated with polymer polyaniline for sensing application
    NA Razak, BA Hamida, N Irawati, MH Habaebi
    IOP Conference Series: Materials Science and Engineering 210 (1), 012041 , 2017
    2017
    Citations: 10
  • Visual-based motorcycle detection using you only look once (yolo) deep network
    FH Kamaru Zaman, SA Che Abdullah, NA Razak, J Johari, I Pasya, ...
    IOP Conference Series: Materials Science and Engineering 1051 (1), 012004 , 2021
    2021
    Citations: 8
  • Photoluminescence and thermoluminescence properties of Li 2 O‐Na 2 O‐B 2 O 3 glass
    NA Razak, S Hashim, MHA Mhareb, N Tamchek
    Luminescence 31 (3), 754-759 , 2016
    2016
    Citations: 8
  • A study of Kalman's filter in embedded controller for real-time quadrocopter roll and pitch measurement
    NA Razak, NHM Arshad, R Adnan, MF Misnan, NM Thamrin, SF Mahmud
    2012 IEEE International Conference on Control System, Computing and … , 2012
    2012
    Citations: 8
  • Model identification and real-time linear position control of servomotor
    N Ishak, SK Harun, H Ismail, NA Razak, R Adnan
    2010 IEEE Control and System Graduate Research Colloquium (ICSGRC 2010), 71-74 , 2010
    2010
    Citations: 8
  • Risk of vehicle blind spot towards motorcyclist safety in Malaysia: Assessment on perceptions of behaviour
    FHK Zaman, SAC Abdullah, NA Razak, I Pasya, J Johari, NE Kordi
    Journal of the Society of Automotive Engineers Malaysia 4 (2), 168-179 , 2020
    2020
    Citations: 7
  • An evaluation of alternative fuels’ spray penetration at various spray cone angles and injection pressures using a simple evaporation model
    J Lim, NA Razak, NM Mazlan
    Biofuels 13 (3), 321-331 , 2022
    2022
    Citations: 6
  • Characterization and extraction influence protein profiling of edible bird’s nest. Foods, 10 (10), 2248
    NNM Nasir, RM Ibrahim, MZA Bakar, R Mahmud, NAA Razak
    2021
    Citations: 6
  • Thermal profile and microstructure of wrought aluminium 7075 for semisolid metal processing
    NA Razak, AH Ahmad, MR Maarof
    International Journal of Automotive and Mechanical Engineering 17 (2), 7842-7850 , 2020
    2020
    Citations: 6