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  1. 1
    Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant

    Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant by Morshidi, Malik Arman

    Published 2007
    “…In this research, a vision system algorithm has been developed to identify and locate base of young corn trees based upon robot vision technology, pattern recognition techniques, and knowledge-based decision theory. …”
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  2. 2
    Design and development of intelligent 3d model recognition and inspection system in die stamping industry

    Design and development of intelligent 3d model recognition and inspection system in die stamping industry by Suryana, Nanna, Widodo, Wahyono Sapto, Hussin, Burairah, Mohd. Yusoh, Zeratul Izzah, Akbar, Habibullah

    Published 2012
    “…To overcome this problem, a new defect inspection algorithm for stamped part is developed and tested. …”
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    Technical Report
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  3. 3
    Biometric identification with limited data set

    Biometric identification with limited data set by Lionnie, Regina, Attamimi, Said, Sediono, Wahju, Alaydrus, Mudrik

    Published 2019
    “…The best recognition precision was produced by SIFT algorithm which was 38%, while other methods only gave out 30-32% precision of recognition.…”
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  4. 4
    Handwritten Arabic word recognition: A review of common approaches

    Handwritten Arabic word recognition: A review of common approaches by Ayyad, Assma O.H., Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha

    Published 2008
    “…An introduction to the Arabic script is given, followed by a description of algorithms for the process involved: segmentation, feature extraction, classification, and recognition. …”
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  5. 5
    iLukBa ver 1.1 : indoor user location system with speech recognition for mobile users

    iLukBa ver 1.1 : indoor user location system with speech recognition for mobile users by Mantoro, Teddy, Borovac, Amir

    Published 2010
    “…It has been developed using an advanced and robust algorithm in determining user location for indoor environment which offers location precision accuracy in small room scale. …”
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  6. 6
    Malay continuous speech recognition using continuous density hidden Markov model

    Malay continuous speech recognition using continuous density hidden Markov model by Ting, Chee Ming

    Published 2007
    “…This thesis describes the investigation of the use of Continuous Density Hidden Markov Model (CDHMM) for Malay Automatic Speech Recognition (ASR). The goal of this thesis is to solve the constraints of current Malay ASR that are: speaker-dependent, small vocabulary and isolated words, and provides a basis in developing speaker-independent (SI) Malay large vocabulary continuous speech recognition (LVCSR). …”
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  7. 7
    Development of an accurate AI-based dermatology assistant for skin disease recognition using YOLOv8 models

    Development of an accurate AI-based dermatology assistant for skin disease recognition using YOLOv8 models by Huzaini, Muhammad Irfan Darwish, Mansor, Hasmah, Gunawan, Teddy Surya, Ahmad, Izanoordina

    Published 2024
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  8. 8
    Content adaptive fast motion estimation based on spatio-temporal homogeneity analysis and motion classification

    Content adaptive fast motion estimation based on spatio-temporal homogeneity analysis and motion classification by Nisar, Humaira, Malik, Aamir Saeed, Choi, Tae-Sun

    Published 2012
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  9. 9
    Feature extraction: hand shape, hand position and hand trajectory path

    Feature extraction: hand shape, hand position and hand trajectory path by Bilal, Sara Mohammed Osman Saleh, Akmeliawati, Rini

    Published 2011
    “…In this chapter, features have been extracted from hand posture closed contours, hand posture trajectory and hand position has been identifIed. Algorithms have been developed for extracting these features after segmenting the head and the two hands. …”
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  10. 10
    Improving hand written digit recognition using hybrid feature selection algorithm

    Improving hand written digit recognition using hybrid feature selection algorithm by Wong, Khye Mun

    Published 2022
    “…Therefore, many researchers have applied and developed various machine learning algorithms that could efficiently tackle the handwritten digit recognition problem. …”
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  11. 11
    Ulcer detection and classification of wireless capsule endoscopy images using RGB masking

    Ulcer detection and classification of wireless capsule endoscopy images using RGB masking by Suman, S., Hussi, F.A., Nicolas, W., Malik, A.S.

    Published 2016
    “…This research aims to develop an algorithm to enhance wireless capsule endoscopy images and analyses them to detect Ulcer located in small intestine. …”
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  12. 12
    Ulcer detection and classification of wireless capsule endoscopy images using RGB masking

    Ulcer detection and classification of wireless capsule endoscopy images using RGB masking by Suman, S., Hussi, F.A., Nicolas, W., Malik, A.S.

    Published 2016
    “…This research aims to develop an algorithm to enhance wireless capsule endoscopy images and analyses them to detect Ulcer located in small intestine. …”
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  13. 13
    Smart biosecurity door locking system / Nur Nadia Syahirah ‘Asri

    Smart biosecurity door locking system / Nur Nadia Syahirah ‘Asri by ‘Asri, Nur Nadia Syahirah

    Published 2017
    “…Furthermore, the system was developed using Fingerprint Matching Algorithm (FMA), Image Processing technique and embedded programming technique. …”
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  14. 14
    An Investigation of Color Based Marker Recognition for 3D Instrument Localization in Surgical Application

    An Investigation of Color Based Marker Recognition for 3D Instrument Localization in Surgical Application by Nordin, Nurdiana binti, Muhammad, Mohd Nazrin bin

    Published 2011
    “…Previous works in color constancy field of research is analyzed to find suitable algorithm for real-time application. A concise overview of color based recognition strategy is presented, results of experiments under mimicry of surgical environment are analyzed and this paper will finally conclude the suitability of this method for instrument localization in surgical environment.…”
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  15. 15
    Computing the autopilot control algorithm using predictive functional control for unstable model

    Computing the autopilot control algorithm using predictive functional control for unstable model by H. A., Kasdirin, J. A., Rossiter

    Published 2009
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  16. 16
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
    “…The purpose of this paper is to develop a recognition system for seven segment displays on the Raspberry Pi. …”
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  17. 17
    AI recommendation penetration testing tool for cross-site scripting: support vector machine algorithm

    AI recommendation penetration testing tool for cross-site scripting: support vector machine algorithm by Salim, Nur Saadah, Saad, Shahadan

    Published 2025
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  18. 18
    Prediction of ADHD from a small dataset using an adaptive EEG theta/beta ratio and PCA feature extraction

    Prediction of ADHD from a small dataset using an adaptive EEG theta/beta ratio and PCA feature extraction by Sase, Takumi, Othman, Marini

    Published 2022
    “…Due to the heterogeneity of ADHD symptoms, several studies have applied machine learning algorithms for enhancing the recognition of ADHD. These methods, however, have limited performance in a small dataset. …”
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  19. 19
    Prediction of ADHD from a small dataset using an adaptive EEG Theta/Beta Ratio and PCA feature extraction

    Prediction of ADHD from a small dataset using an adaptive EEG Theta/Beta Ratio and PCA feature extraction by Sase, Takumi, Othman, Marini

    Published 2022
    “…Due to the heterogeneity of ADHD symptoms, several studies have applied machine learning algorithms for enhancing the recognition of ADHD. These methods, however, have limited performance in a small dataset. …”
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  20. 20
    SnapShare: AI Trained Mobile App to Share Snaps Automatically

    SnapShare: AI Trained Mobile App to Share Snaps Automatically by Waqas, Ahmad, Gilal, Abdul Rehman, Khan, Adil, Omar, Mazni, Chohan, Murk, Gilal, Ruqaya

    Published 2020
    “…., 23Snaps, Cluster, Path, letmesee) to share photos with small circle of friends. Unfortunately, these developed apps require user’s interaction to identify individuals in the photo. …”
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