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  1. 1
    Automatic face recognition system

    Automatic face recognition system by Mekhilef, Saad, Dr., S. B., Low, C. L., Ng, M., Mahadani

    Published 2011
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  2. 2
    Enhanced convergence of Bat Algorithm based on dimensional and inertia weight factor

    Enhanced convergence of Bat Algorithm based on dimensional and inertia weight factor by Ramli, Mohamad Raziff, Abal Abas, Zuraida, Desa, Mohammad Ishak, Zainal Abidin, Zaheera, Al Azzam, Malik Bader Hasan

    Published 2019
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  3. 3
    Fingerprint feature extraction based discrete cosine transformation (DCT)

    Fingerprint feature extraction based discrete cosine transformation (DCT) by Chin Kim On, Paulraj M. Pandiyan, Sazali Yaacob, Azali Saudi

    Published 2009
    “…In this paper, a simple and effectiveness algorithm is proposed for fingerprint image recognition and the proposed algorithm is able to solve the problem discussed above. …”
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  4. 4
    Automatic identification of epileptic seizures from EEG signals using sparse representation-based classification

    Automatic identification of epileptic seizures from EEG signals using sparse representation-based classification by Sobhan Sheykhivand, Tohid Yousefi Rezaii, Zohreh Mousavi, Azra Delpak, Ali Farzamnia

    Published 2020
    “…A computerized seizure identification scheme can eradicate the above problems, assist clinicians, and benefit epilepsy research. …”
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  5. 5
    CORROSION DAMAGE ANALYSIS USING IMAGE PROCESSING

    CORROSION DAMAGE ANALYSIS USING IMAGE PROCESSING by DEMPI, CHRISTIE BANGI

    Published 2018
    “…There is a need to develop a low cost automatic corrosion damage identification. This project focuses on early detection of pipelines and gas tanks corrosion in oil and gas. …”
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    Final Year Project
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  6. 6
    Advances in automatic insect classification

    Advances in automatic insect classification by Hassan, Siti Noorul Asiah, Abdul Rahman, Nur Nadiah Syakira, Htike@Muhammad Yusof, Zaw Zaw, Shoon , Lei Win

    Published 2014
    “…There have been several attempts to create a method to perform insect identification accurately. Great knowledge and experience on entomology are required for accurate insect identification. …”
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  7. 7
    Simulated real-time controller for tuning algorithm using modified hill climbing approach

    Simulated real-time controller for tuning algorithm using modified hill climbing approach by Ahmed, Ahmed Abdulelah

    Published 2014
    “…That led to new ways to tackle old problems like model inaccuracies and inconsistencies. …”
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    Thesis
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  8. 8
    Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh

    Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh by Rawaa Dawoud Hassan, Al-Dabbagh

    Published 2015
    “…Secondly, a new DE algorithm (ARDE-SPX) is introduced that automatically adapts a repository of DE strategies and parameters control schemes to avoid the problems of stagnation and make DE respond to a wide range of function characteristics at different stages of evolutionary search. …”
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  9. 9
    Detection and Severity Identification of control valve stiction in industrial loops using integrated partially retrained CNN-PCA frameworks

    Detection and Severity Identification of control valve stiction in industrial loops using integrated partially retrained CNN-PCA frameworks by YAU, YONG SONG

    Published 2021
    “…In this thesis, an integrated framework using such partially retrained convolutional neural networks in conjunction with principal component analysis (CNN-PCA) is proposed for simultaneous control valve stiction detection and automatic identification of the severity of the problem. …”
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  10. 10
    An intelligent condition monitoring system for fault diagnosis of rotating machinery using expert systems with optimization techniques

    An intelligent condition monitoring system for fault diagnosis of rotating machinery using expert systems with optimization techniques by Satyanarayana, M. R. S., Dr.

    Published 2012
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  11. 11
    AN ACCURATE MODULATION CLASSIFICATION ALGORITHM FOR MULTIPLE-INPUT MULTIPLE-OUTPUT WIRELESS SYSTEMS

    AN ACCURATE MODULATION CLASSIFICATION ALGORITHM FOR MULTIPLE-INPUT MULTIPLE-OUTPUT WIRELESS SYSTEMS by RIDA , MOHAMMAD BAHLOUL

    Published 2015
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  12. 12
    Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation

    Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation by Toha, Siti Fauziah, Abd Latiff, I., Mohamad, M., Tokhi, M Osman

    Published 2009
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  13. 13
    Real-time identification of an unmanned quadcopter flight dynamics using fully tuned radial basis function network

    Real-time identification of an unmanned quadcopter flight dynamics using fully tuned radial basis function network by Pairan, Mohammad Fahmi

    Published 2018
    “…Recursive learning algorithms, such as Constant Trace (CT) can be implemented to solve insufficient training data and over-fitting problems by developing a new model from real-time flight data in each time step. …”
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  14. 14
    Local search manoeuvres recruitment in the bees algorithm

    Local search manoeuvres recruitment in the bees algorithm by Muhamad, Zaidi, Mahmuddin, Massudi, Nasrudin, Mohammad Faidzul, Sahran, Shahnorbanun

    Published 2011
    “…Swarm intelligence of honey bees had motivated many bioinspired based optimisation techniques. The Bees Algorithm (BA) was created specifically by mimicking the foraging behavior of foraging bees in searching for food sources.During the searching, the original BA ignores the possibilities of the recruits being lost during the flying.The BA algorithm can become closer to the nature foraging behavior of bees by taking account of this phenomenon.This paper proposes an enhanced BA which adds a neighbourhood search parameter which we called as the Local Search Manoeuvres (LSM) recruitment factor.The parameter controls the possibilities of a bee extends its neighbourhood searching area in certain direction.The aim of LSM recruitment is to decrease the number of searching iteration in solving optimization problems that have high dimensions.The experiment results on several benchmark functions show that the BA with LSM performs better compared to the one with basic recruitment.…”
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  15. 15
    Automatic License Plate Recognition System for Recognizing Overlapping Characters in Malaysian License Plates

    Automatic License Plate Recognition System for Recognizing Overlapping Characters in Malaysian License Plates by Jofri, Mohd Kholil

    Published 2017
    “…License plate is used for identification of vehicles. Automatic License Plate Recognition (ALPR) has been developed in application such as parking and toll fees, and assisting police in law enforcement. …”
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  16. 16
    Fuzzy modelling using firefly algorithm for phishing detection

    Fuzzy modelling using firefly algorithm for phishing detection by Noor Syahirah, Nordin, Mohd Arfian, Ismail, Mezhuyev, Vitaliy, Shahreen, Kasim, Mohd Saberi, Mohamad, Ashraf Osman, Ibrahim

    Published 2019
    “…One of the suitable methods provides the Firefly Algorithm (FA). FA is a nature-inspired algorithm that uses fireflies’ behavior to interpret data. …”
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  17. 17
    Vehicle Tracking using Video Cameras

    Vehicle Tracking using Video Cameras by Johnson, Girberth

    Published 2013
    “…However, relying on human‟s eyes is not a reliable system as the technology now allows an automatic detection system. The „Vehicles Tracking System Using Video Cameras‟ is the basic solution to those problems. …”
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  18. 18
    Comparison of UAV flying height parameter for crack detection applications / Wan Nurdayini Batrisyia Wan Ghazali

    Comparison of UAV flying height parameter for crack detection applications / Wan Nurdayini Batrisyia Wan Ghazali by Wan Ghazali, Wan Nurdayini Batrisyia

    Published 2024
    “…The objectives of this research include assessing the impact of UAV height and applying the Difference of Gaussian (DoG) Algorithms in crack identification. The goal here is to establish the level of effectiveness of the DoG algorithm in detecting cracks in images derived from orthomosaics at different heights. …”
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  19. 19
    Scorpion image segmentation system

    Scorpion image segmentation system by E, joseph, Aibinu, Abiodun Musa, B.A, sadiq, Bello Salau, H, Salami, Momoh Jimoh Eyiomika

    Published 2013
    “…This paper proposed a digital image processing approach based on the floresencing characteristics of Scorpion under Ultra-violet (UV) light for automatic detection and identification of scorpion. …”
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  20. 20
    A review of handcrafted computer vision and deep learning approaches for food recognition

    A review of handcrafted computer vision and deep learning approaches for food recognition by Razali, Mohd Norhisham, Manshor, Noridayu

    Published 2020
    “…Hence, there is demand for novel tools able to provide an automatic, personalised, and accurate dietary assessment through food recognition algorithms. …”
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