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  1. 1
    Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism

    Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism by Alomari M.F., Mahmoud M.A., Gharaei N., Rasool S.M., Hasan R.A.

    Published 2025
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  2. 2
    Wavelet-based pre-filtering for low cost inertial sensors

    Wavelet-based pre-filtering for low cost inertial sensors by Hasan, Ahmed Mudheher, Samsudin, Khairulmizam, Ramli, Abdul Rahman, Raja Abdullah, Raja Syamsul Azmir

    Published 2010
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  3. 3
    Smart appointment organizer for mobile application / Mohd Syafiq Adam

    Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

    Published 2009
    “…In creating this application, NetBeans IDE 6.5and Java Micro Edition (Java ME) are used. …”
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    Thesis
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  4. 4
    Visdom: Smart guide robot for visually impaired people

    Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

    Published 2025
    “…The system architecture integrates ROS 2 on a Raspberry Pi, with TCP/IP connectivity enabling remote operation. An Android mobile application, developed using Java and the java.net.Socket library, provides an intuitive and accessible user interface for seamless interaction with the robot. …”
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    Final Year Project / Dissertation / Thesis
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  5. 5
    Visdom: Smart guide robot for visually impaired people

    Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

    Published 2025
    “…The system architecture integrates ROS 2 on a Raspberry Pi, with TCP/IP connectivity enabling remote operation. An Android mobile application, developed using Java and the java.net.Socket library, provides an intuitive and accessible user interface for seamless interaction with the robot. …”
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  6. 6
    Integrated multi sensors and camera video sequence application for performance monitoring in archery

    Integrated multi sensors and camera video sequence application for performance monitoring in archery by Taha, Z., Mat-Jizat, J.A., Abdullah, M.A., Musa, R.M., Abdullah, M.R., Ibrahim, M.F., Shaharudin, M.A.H.

    Published 2018
    “…This paper explains the development of a comprehensive archery performance monitoring software which consisted of three camera views and five body sensors. The five body sensors evaluate biomechanical related variables of flexor and extensor muscle activity, heart rate, postural sway and bow movement during archery performance. …”
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    Conference or Workshop Item
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  7. 7
    Smart phone sensor data: Comparative analysis of various classification methods for task of human activity recognition

    Smart phone sensor data: Comparative analysis of various classification methods for task of human activity recognition by Tanveer Abbas Gadehi, Faheem Yar Khuhawar, Ahmed Memon, Kashif Nisar

    Published 2018
    “…Areas such as medicine, daily routine, and security are some benefits that smartphone enables via embedded sensors. Our work has chosen sensor data of six activities such as standing, walking, laying from pre-recorded dataset gathered via smartphone to evaluate the performance of various supervised machine learning algorithms. …”
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    Proceedings
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  8. 8
    Integrated multi sensors and camera video sequence application for performance monitoring in archery

    Integrated multi sensors and camera video sequence application for performance monitoring in archery by Zahari, Taha, Jessnor Arif, Mat-Jizat, Muhammad Amirul, Abdullah, Mohamad Razali, Abdullah, Musa, Rabiu Muazu, Mohamad Fauzi, Ibrahim, Mohd Ali Hanafiah, Shaharudin

    Published 2017
    “…This paper explains the development of a comprehensive archery performance monitoring software which consisted of three camera views and five body sensors. The five body sensors evaluate biomechanical related variables of flexor and extensor muscle activity, heart rate, postural sway and bow movement during archery performance. …”
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  9. 9
    Integrated multi sensors and camera video sequence application for performance monitoring in archery

    Integrated multi sensors and camera video sequence application for performance monitoring in archery by Taha, Z., Mat-Jizat, J.A., Abdullah, M.A., Musa, R.M., Abdullah, M.R., Ibrahim, M.F., Shaharudin, M.A.H.

    Published 2018
    “…This paper explains the development of a comprehensive archery performance monitoring software which consisted of three camera views and five body sensors. The five body sensors evaluate biomechanical related variables of flexor and extensor muscle activity, heart rate, postural sway and bow movement during archery performance. …”
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  10. 10
    Detection and evaluation of Caesium-137 point source using silicone photomultiplier sensor

    Detection and evaluation of Caesium-137 point source using silicone photomultiplier sensor by Md. Ali, Sham Firdaus

    Published 2021
    “…The sensor is able produce a spatial resolution of 26% at 662 keV. …”
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  11. 11
    Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems

    Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems by Shakeel Ahmed, Kamboh

    Published 2014
    “…The results showed that the parallel algorithms for EHD simulations may provide 4 to 5 times more speedup over sequential algorithm for large grid sizes. …”
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  12. 12
    A Novel Approach to Estimate Diffuse Attenuation Coefficients for QuickBird Satellite Images: A Case Study at Kish Island, the Persian Gulf.

    A Novel Approach to Estimate Diffuse Attenuation Coefficients for QuickBird Satellite Images: A Case Study at Kish Island, the Persian Gulf. by Pradhan, Biswajeet, Mohd Shafri, Helmi Zulhaidi, Mansor, Shattri, Kabiri, Keivan, Samim-Namin, Kaveh

    Published 2013
    “…Since the aforementioned algorithm has been developed for other types of sensors, an approach using weighted mean value of parameters for SeaWiFS, MERIS, VIIRS, and OCTS sensors were employed to estimate parameter values for QuickBird image. …”
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  13. 13
    Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan

    Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan by Meisam , Gordan

    Published 2020
    “…After evaluating the results of these algorithms, a hybrid Artificial Neural Network-based Imperial Competitive Algorithm (ANN-ICA) was presented in the deployment step of the proposed methodology to identify the structural damage of illustrative structures. …”
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  14. 14
    Development of water surface robot system for lake sanitation and sampling / Ahmed Abdullah Omar

    Development of water surface robot system for lake sanitation and sampling / Ahmed Abdullah Omar by Ahmed Abdullah , Omar

    Published 2022
    “…Also, low-cost robot designs have become limited to onboard computational resources; sensor data is captured locally, and the mechanical aspects of the robots are mainly pre-programmed or remotely controlled. …”
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  15. 15
    Correlation-based subset evaluation of feature selection for dynamic Malaysian sign language

    Correlation-based subset evaluation of feature selection for dynamic Malaysian sign language by Sutarman, .

    Published 2016
    “…In this study, the images has been captured using a kinect sensor based skeletal algorithms. The feature extraction was done by normalizing the position and size of the user, by taking eight out of 20 joints that contribute in identifying the movement of the hands; left hand, right hand, left wrist, right wrist, left elbow, right elbow, torso and head. …”
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  16. 16
    Earthquake alarm detector / Nik Aqil Farihin Nik Mohd Azizee

    Earthquake alarm detector / Nik Aqil Farihin Nik Mohd Azizee by Nik Mohd Azizee, Nik Aqil Farihin

    Published 2024
    “…The ADXL335 accelerometer sensor detects pre-earthquake tremors. The accelerometer detects vibrations and converts them into corresponding ADC data. …”
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    Student Project
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  17. 17
    Photogrammetric low-cost unmanned aerial vehicle for pothole detection mapping / Shahrul Nizan Abd Mukti

    Photogrammetric low-cost unmanned aerial vehicle for pothole detection mapping / Shahrul Nizan Abd Mukti by Abd Mukti, Shahrul Nizan

    Published 2022
    “…The study set four main objectives to achieve its aim: (1) To analyse RGB and multispectral sensor calibration, (2) To evaluate the optimal flight parameters for pothole modelling production using RGB imagery, (3) To investigate various classifier algorithms and band combinations for pothole region areas using multispectral imagery and (4) To validate geometric information from the extracted pothole. …”
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  18. 18
    Data Mining On Machine Breakdowns And Effectiveness Of Scheduled Maintenance

    Data Mining On Machine Breakdowns And Effectiveness Of Scheduled Maintenance by Tan, Su Sze

    Published 2019
    “…Seventh, the pattern evaluation is developed to present the discovery of data which helps in decision-making. …”
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    Monograph
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  19. 19
    Oil palm female inflorescences anthesis stages identification using selected emissivities through thermal imaging and Machine Learning

    Oil palm female inflorescences anthesis stages identification using selected emissivities through thermal imaging and Machine Learning by Yousefidashliboroun, Mamehgol

    Published 2022
    “…This research studies different Machine Learning (ML) classification and ensemble techniques for the assessment of the four pollination stages consist of pre-anthesis I, pre-anthesis II, pre-anthesis III, and anthesis using thermal imaging. …”
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  20. 20
    Development of a motion planning and obstacle avoidance algorithm using adaptive neuro fuzzy inference system for mobile robot navigation

    Development of a motion planning and obstacle avoidance algorithm using adaptive neuro fuzzy inference system for mobile robot navigation by Muslim, Farah Kamil Abid

    Published 2017
    “…In this research, a new sensor-based online approach was proposed for generating a collision-free trajectory for differential-drive wheeled mobile robots, which could be applied to an unknown dynamic environment, in which the obstacles are moving and their speed profiles are not pre-identified. …”
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