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  1. 1
    Application of Artificial Neural Networks (ANN) for unit commitment prediction / Robert Engkiau

    Application of Artificial Neural Networks (ANN) for unit commitment prediction / Robert Engkiau by Engkiau, Robert

    Published 2003
    “…Dedicated artificial neural networks can handle a large number of inequality constraints included in unit commitment. Results from existing Genetic Algorithm (GA) program were used as the NN training and testing data set. …”
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  2. 2
    Multidimensional Minimization Training Algorithms for Steam Boiler High Temperature Superheater Trip using Artificial Intelligence Monitoring System

    Multidimensional Minimization Training Algorithms for Steam Boiler High Temperature Superheater Trip using Artificial Intelligence Monitoring System by Alnaimi, F. B. I., Al-Kayiem, Hussain H.

    Published 2010
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  3. 3
    Vision-based robot indoor navigation

    Vision-based robot indoor navigation by Teo, Zhin Hang

    Published 2022
    “…NodeRed links both processing units together. An algorithm is developed in the computer to achieve image processing, user input, path planning, simulation, and writing of output files. …”
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    Final Year Project / Dissertation / Thesis
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  4. 4
    Distracted driver detection with deep convolution neural networks

    Distracted driver detection with deep convolution neural networks by Basubeit, Omar Gumaan Saleh

    Published 2023
    “…This project aims to develop a python algorithm to detect the distracted activities while driving. …”
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  5. 5
    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
    “…With their efficient training algorithm (Baum-Welch and Viterbi/Segmental K-mean) and recognition algorithm (Viterbi), as well as it’s modeling flexibility in model topology, observation probability distribution, representation of speech unit and other knowledge sources, HMM has been successfully applied in solving various tasks in this thesis. …”
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  6. 6
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  7. 7
    Hybridization of metaheuristic algorithm in training radial basis function with dynamic decay adjustment for condition monitoring / Chong Hue Yee

    Hybridization of metaheuristic algorithm in training radial basis function with dynamic decay adjustment for condition monitoring / Chong Hue Yee by Chong , Hue Yee

    Published 2023
    “…RBFN-DDA performs incremental learning wherein its structure expands by adding new hidden units to include new information. As such, its training can reach stability in a shorter time compared to the gradient-descent based methods. …”
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  8. 8
    An intelligent optical fibre pH sensor based on sol-gel advanced material and artificial neural network / Mohd Nasir Taib, Faiz Bukhari Mohd Suah and Musa Ahmad

    An intelligent optical fibre pH sensor based on sol-gel advanced material and artificial neural network / Mohd Nasir Taib, Faiz Bukhari Mohd Suah and Musa Ahmad by Taib, Mohd Nasir, Mohd Suah, Faiz Bukhari, Ahmad, Musa

    Published 2005
    “…A three layer feed-forward network was used and the network training was performed using the back-propagation algorithm. …”
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  9. 9
    Early tube leak detection system for steam boiler at KEV power plant

    Early tube leak detection system for steam boiler at KEV power plant by Ismail F.B., Singh D., Maisurah N., Musa A.B.B.

    Published 2023
    Conference Paper
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  10. 10
    Predictions of isolate and normal pentene of debutanizer catalytic reforming unit by using artificial neural network

    Predictions of isolate and normal pentene of debutanizer catalytic reforming unit by using artificial neural network by S., Sulaiman, O.A., Abdalla, M.N., Zakaria, W.F.W., Ahmad

    Published 2008
    “…Back-propagation algorithm was used to train the network. A correlation coefficient of 0.999 was obtained with standard deviation of 0.006 for iC<sub>5</sub>. …”
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  11. 11
    Plant disease detection using deep learning

    Plant disease detection using deep learning by Cheng, Jung Yin

    Published 2024
    “…However, when deploying these trained models on a central processing unit (CPU), YOLOv8 models consistently outperform ViT algorithms in terms of speed and accuracy. …”
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  12. 12
    Evaluating Adan vs. Adam: an analysis of optimizer performance in deep learning

    Evaluating Adan vs. Adam: an analysis of optimizer performance in deep learning by Ismail, Amelia Ritahani, Azhary, Muhammad Zulhazmi Rafiqi, Hitam, Nor Azizah

    Published 2025
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  13. 13
    Forensic language of property theft genre based on mathematical formulae and machine learning algorithms / Hana' Abd Razak

    Forensic language of property theft genre based on mathematical formulae and machine learning algorithms / Hana' Abd Razak by Abd Razak, Hana'

    Published 2020
    “…Towards achieving better detection in real-time environment, colour pixel-based images were trained on five pre-trained CNNs using transfer learning algorithm. …”
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  14. 14
    License plate recognition using Kohonen neural network algorithm / Norfaeza Mat Noor

    License plate recognition using Kohonen neural network algorithm / Norfaeza Mat Noor by Mat Noor, Norfaeza

    Published 2006
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  15. 15
    QUAD FLAT NO-LEAD (QFN) DEVICE FAULTY DETECTION USING GABOR WAVELETS

    QUAD FLAT NO-LEAD (QFN) DEVICE FAULTY DETECTION USING GABOR WAVELETS by Tay , Wai Lun

    Published 2014
    “…Since manufacturing industries comprise of many types of products, various image processing algorithms have been developed to suit different type of outputting products. …”
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  16. 16
    Image classification using two dimensional wavelet coefficients with parallel computing

    Image classification using two dimensional wavelet coefficients with parallel computing by Ong, Yew Fai

    Published 2020
    “…In addition, this research does not require any pre-stored database to train the algorithm. This research requires the supervision from the users to train the algorithm by naming the region. …”
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  17. 17
    Neuro-Fuzzy and Particle Swarm Optimization based Model for the Steam and Cooling sections of a Cogeneration and Cooling Plant

    Neuro-Fuzzy and Particle Swarm Optimization based Model for the Steam and Cooling sections of a Cogeneration and Cooling Plant by Alemu Lemma, Tamiru, Rangkuti, Chalillullah, Mohd Hashim, Fakhruldin

    Published 2009
    “…Neuro-fuzzy approach trained by a sequence of optimization algorithms-Particle Swarm Optimization (PSO) followed by Back-Propagation (BP)-is used to develop models for the steam drum pressure, steam drum water level, steam flow rate and chilled water supply temperature. …”
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  18. 18
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
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  19. 19
    Fault Detection Relevant Modeling of an Industrial Gas Turbine based on Neuro-Fuzzy Approach

    Fault Detection Relevant Modeling of an Industrial Gas Turbine based on Neuro-Fuzzy Approach by Alemu Lemma, Tamiru, Mohd Hashim, Fakhruldin, Rangkuti, Chalillullah

    Published 2010
    “…Analytical redundancy based fault detection and diagnosis system for an industrial gas turbine requires accurate model of the unit. Developing such a model from basic laws is a complicated and time consuming task. …”
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  20. 20
    Development of a license plate recognition system for a non-ideal environment

    Development of a license plate recognition system for a non-ideal environment by Lorita Angeline, Hui, Keng Lau, Bablu Kumar Ghosh, Hui, Hwang Goh, Tze, Kenneth Kin Teo

    Published 2012
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