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  1. 1
    Developing framework for natphoric computer-aided web-based kansei engineering / Mohammad Bakri Che Haron

    Developing framework for natphoric computer-aided web-based kansei engineering / Mohammad Bakri Che Haron by Che Haron, Mohammad Bakri

    Published 2013
    “…To realize the development of computer-aided KE system, a framework for automated KE is designed. …”
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  2. 2
    Using Image Processing Technique in Packaging Decoration

    Using Image Processing Technique in Packaging Decoration by Zhiyuan, Li

    Published 2009
    “…For the past decades, the decoration of packaging plays an important role in promoting the product to the consumer, especially related to the fast moving consumer products. …”
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  3. 3
    Genetic algorithm optimization of product design for environmental impact reduction / Julirose Gonzales

    Genetic algorithm optimization of product design for environmental impact reduction / Julirose Gonzales by Julirose , Gonzales

    Published 2018
    “…The aim of this research is to develop a methodology that will aid designers to reduce the potential environmental impact of a product’s design, which does not require them to train additional skills in environmental impact analysis. …”
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  4. 4
    ScholarsAid: a personalized scholarship web application based on web scraping/ Muhammad Nur Haqeem Sulaiman and Norhasliza Ahmad

    ScholarsAid: a personalized scholarship web application based on web scraping/ Muhammad Nur Haqeem Sulaiman and Norhasliza Ahmad by Sulaiman, Muhammad Nur Haqeem, Ahmad, Norhasliza

    Published 2023
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  5. 5
    Ischemic Stroke Detection System With Computer Aided Diagnostic Capability

    Ischemic Stroke Detection System With Computer Aided Diagnostic Capability by Lina, Tay

    Published 2017
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    Monograph
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  6. 6
    Brain tumor image segmentation using deep learning approach

    Brain tumor image segmentation using deep learning approach by Darshan, Suresh

    Published 2022
    “…In neurosurgical, Magnetic Resonance Images (MRI) scans are used to detect cancerous cell grow thin brain called brain tumor. Application that can aid in providing automatic brain tumor segmentation is crucial as segmentation of the exact size and spatial location of these tumors are a time-consuming task. …”
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  7. 7
    Machine learning approach for automated optical inspection of electronic components

    Machine learning approach for automated optical inspection of electronic components by Lim, Siew Kee

    Published 2019
    “…Rapid development in electronic industry causing a high volume of electronic components being manufactured on each day. …”
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  8. 8
    Classification and visualization of Malaysian fast food restaurant chain based on twitter sentiment analysis / Muhammad Hafeez Hakimi Muhd Zahidi Ridzuan

    Classification and visualization of Malaysian fast food restaurant chain based on twitter sentiment analysis / Muhammad Hafeez Hakimi Muhd Zahidi Ridzuan by Muhd Zahidi Ridzuan, Muhammad Hafeez Hakimi

    Published 2023
    “…This project uses an algorithm called Naïve Bayes and the visualization is aided by the Plotly library in Python. …”
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  9. 9
    A hybrid unsupervised approach toward EEG epileptic spikes detection

    A hybrid unsupervised approach toward EEG epileptic spikes detection by Khosropanah, Pegah, Ramli, Abdul Rahman, Abbasi, Mohammad Reza, Marhaban, Mohammad Hamiruce, Ahmedov, Anvarjon

    Published 2018
    “…Therefore, computer-aided approaches were employed for the purpose of saving time and increasing the detection and source localization accuracy. …”
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  10. 10
    Early explorations of EEG as a method for interactive evolutionary design of 3-dimensional objects

    Early explorations of EEG as a method for interactive evolutionary design of 3-dimensional objects by Chew, Lin Hou, James Mountstephens, Teo, Jason Tze Wi

    Published 2015
    “…The development of technology on 3D printing has attracted people of different fields to designing 3D shapes for art display, an architecture design, a prototype or even an aiding tool. …”
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  11. 11
    Towards a unified image quality assessment technique for cross-content image processing applications

    Towards a unified image quality assessment technique for cross-content image processing applications by Baqar, Mohtashim *

    Published 2024
    “…In summary, the study develops algorithms for accurate image quality prediction, refining images, and enhancing visual quality. …”
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  12. 12
    An improved diabetes risk prediction framework : An Indonesian case study

    An improved diabetes risk prediction framework : An Indonesian case study by Sutanto, Daniel Hartono

    Published 2018
    “…In conclusion,DRPF is implementable as prototype and has been highly accepted by Indonesian practitioners as aid for the diagnostics of diabetes.…”
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  13. 13
    Automated cad system for early stroke diagnosis: Review

    Automated cad system for early stroke diagnosis: Review by Azman, Izzatul Husna, Mohd Saad, Norhashimah, Samsudin, Adam, Kandaya, Shaarmila, Hamzah, Rostam Affendi, Abdullah, Abdul Rahim

    Published 2023
    “…Traditional stroke detection procedures, such as manual visual evaluation of clinical data, can be time-consuming and error-prone. Computer-aided diagnostic (CAD) technologieshave emerged as a viable option for early stroke diagnosis in recent years. …”
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  14. 14
    Optimum Colour Space Selection for Ulcerated Regions using Statistical Analysis and Classification of Ulcerated Frames from WCE Video Footage

    Optimum Colour Space Selection for Ulcerated Regions using Statistical Analysis and Classification of Ulcerated Frames from WCE Video Footage by Suman, Shipra, Hussin, Fawnizu Azmadi, Nicolas, Walter, Malik, Aamir Saeed, Goh, Khean Lee, Hilmi, Ida, Ho, Shaiw Hooi

    Published 2015
    “…Therefore, it is crucial to develop a computer aided intelligent algorithm to process the huge number of WCE frames. …”
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    Conference or Workshop Item
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  15. 15
    Efficient hybrid flooding scheme for ad-hoc on-demand distance vector routing protocol in MANET

    Efficient hybrid flooding scheme for ad-hoc on-demand distance vector routing protocol in MANET by Waheed, Bassam M.S.

    Published 2014
    “…Another prominent approach is the Dominant Pruning (DP) which is a distributed dominating set algorithm developed to alleviate the impact of flooding in mobile ad-hoc networks. …”
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  16. 16
    Development of a prototype solar-powered autonomous vehicle prototype with object detection and avoidance system using Raspberry-Pi

    Development of a prototype solar-powered autonomous vehicle prototype with object detection and avoidance system using Raspberry-Pi by Ogonye, O. Solomon, Dagwa Ishaya Musa, Nurudeen Abdulhakeem Hassan, Okonkwo, Emmanuel, Kulutuye, Precious

    Published 2024
    “…In this study, the development of a solar-powered autonomous vehicle prototype with an object detection and avoidance system was implemented and achieved using Raspberry Pi. …”
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  17. 17
    Optimum Colour Space Selection for Ulcerated Regions Using Statistical Analysis and Classification of Ulcerated Frames from WCE Video Footage

    Optimum Colour Space Selection for Ulcerated Regions Using Statistical Analysis and Classification of Ulcerated Frames from WCE Video Footage by Suman, Shipra, Nicolas, Walter, Hussin, Fawnizu Azmadi, Malik, Aamir Saeed, Ho, Shiaw Hooi, Goh, Khean Lee, Hilmi, Ida

    Published 2015
    “…Therefore, it is crucial to develop a computer aided intelligent algorithm to process the huge number of WCE frames. …”
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    Book Section
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  18. 18
    Preprocessing method for assistive listening system

    Preprocessing method for assistive listening system by Muhammad Nur Adri, Nawi

    Published 2021
    “…So, the system algorithm is one of the most important parts of the ALS. …”
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    Undergraduates Project Papers
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  19. 19
    Preprocessing method for assistive listening system

    Preprocessing method for assistive listening system by Muhammad Nur Adri, Nawi

    Published 2021
    “…So, the system algorithm is one of the most important parts of the ALS. …”
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  20. 20
    Machine Learning based Predictive Modelling of Cybersecurity Threats Utilising Behavioural Data

    Machine Learning based Predictive Modelling of Cybersecurity Threats Utilising Behavioural Data by Ting, Tin Tin, Khiew, Jie Xin, Ali Aitizaz, Lee, Kuok Tiung, Teoh, Chong Keat, Hasan Sarwar

    Published 2023
    “…Five supervised machine learning methods are being tested which are: Regression Logistics, K-Nearest Neighbour (KNN), Decision Tree (DT), Support Vector Machine (SVM), and Naïve Bayesian Classifier with the aid of a tool, RapidMiner. The algorithms are used to construct, test, and validate three categories of cybercrime threat (Malware, Social Engineering, and Password Attack) predictive models. …”
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