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  1. 1
    An Embedded Machine Learning-Based Spoiled Leftover Food Detection Device for Multiclass Classification

    An Embedded Machine Learning-Based Spoiled Leftover Food Detection Device for Multiclass Classification by Wan Azman,, Wan Nur Fadhlina Syamimi, Ku Azir, Ku Nurul Fazira, Mohd Khairuddin, Adam

    Published 2024
    “…In conclusion, the work demonstrates a novel method for using machine learning algorithms to classify, identify, and predict the contamination level of leftover cooked food, contributing to reducing food waste generated primarily by Malaysians…”
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  2. 2
    Snort-based smart and swift intrusion detection system

    Snort-based smart and swift intrusion detection system by Olanrewaju, Rashidah Funke, Khan, Burhan Ul Islam, Najeeb, Athaur Rahman, Ku zahir, Ku Nor Afiza, Hussain, Sabahat

    Published 2018
    “…Methods/Statistical Analysis: The features are extracted using back-propagation algorithm. …”
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  3. 3
    Automated density and growth estimation in precision aquaculture systems for prawn cultivation using computer vision techniques

    Automated density and growth estimation in precision aquaculture systems for prawn cultivation using computer vision techniques by Chong, Xiao Wei

    Published 2024
    “…By employing the state-of-the-art You Only Look Once (YOLO) v7 object detection algorithm, the project aims to develop a system capable of accurately detecting and classifying prawns based on their growth stages. …”
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    Final Year Project / Dissertation / Thesis
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  4. 4
    Correlation of Retinal Blood Vessel Tortuosity and Chronic Kidney Disease

    Correlation of Retinal Blood Vessel Tortuosity and Chronic Kidney Disease by Amirul Asyraf bin Mustapha Kamel

    Published 2023
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  5. 5
    Medical Waste Detection and Classification Through YOLO Algorithms

    Medical Waste Detection and Classification Through YOLO Algorithms by Moktar M.H.B., Hajjaj S.S.H., Mohamed H.

    Published 2025
    Conference paper
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  6. 6
    Evaluation of diagnostic performance of rK28 ELISA using urine for diagnosis of visceral leishmaniasis

    Evaluation of diagnostic performance of rK28 ELISA using urine for diagnosis of visceral leishmaniasis by Ghosh, Prakash, Bhaskar, Khondaker R. H., Hossain, Faria, Khan, Md Anik Ashfaq, Vallur, Aarthy C., Duthie, Malcolm S., Hamano, Shinjiro, Huda, M. Mamun, Salam, Md. Abdus, Khan, Md Gulam Musawwir, Coler, Rhea N., Reed, Steven G., Mondal, Dinesh

    Published 2016
    “…Although simple, these tests still require blood collection and their use in remote settings can be limited due to the need of collection devices, serum fractionation instrument and generation of biohazardous waste. The development of an accurate and non-invasive diagnostic algorithm for VL, such as could be achieved with urine, is desirable. …”
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  7. 7
    RGB and RGNIR image dataset for machine learning in plastic waste detection

    RGB and RGNIR image dataset for machine learning in plastic waste detection by Owen Tamin, Ervin Gubin Moung, Jamal Ahmad Dargham, Samsul Ariffin Abdul Karim, Ashraf Osman Ibrahim Elsayed, Nada Adam, Hadia Abdelgader Osman

    Published 2025
    “…The increasing volume of plastic waste is an environmental issue that demands effective sorting methods for different types of plastic. …”
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  8. 8
    Recyclable waste classification using YOLO-based Convolutional Neural Network (CNN) / Shaharil Armin Sharizal

    Recyclable waste classification using YOLO-based Convolutional Neural Network (CNN) / Shaharil Armin Sharizal by Sharizal, Shaharil Armin

    Published 2025
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    Thesis
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  9. 9
    Graphical user interface test case generation for android apps using Q-learning / Husam N. S. Yasin

    Graphical user interface test case generation for android apps using Q-learning / Husam N. S. Yasin by Husam , N. S. Yasin

    Published 2021
    “…The computation time complexity of the Q-Learning-based test coverage algorithm was also analyzed. …”
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  10. 10
    Fault detection and diagnosis for gas density monitoring using multivariate statistical process control

    Fault detection and diagnosis for gas density monitoring using multivariate statistical process control by Norul Shahida, Che Din, Noor Asma Fazli, Abdul Samad, Chin, Sim Yee

    Published 2011
    “…Therefore, an efficient fault detection and diagnosis algorithm needs to be developed to detect faults that are present in a process and pinpoint the cause of these detected faults. …”
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  11. 11
    PCB defect detection system using run-length encoding

    PCB defect detection system using run-length encoding by Zakaria, Muhammad Anif

    Published 2017
    “…The secondary objective is to design run-length encoding algorithm able to detect and classify the defect of printed circuit board (PCB). …”
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    Student Project
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  12. 12
    An approach of classifying waste using transfer learning method

    An approach of classifying waste using transfer learning method by Amin, Zian Md Afique, Khan, Nasik Sami, Hassan, Raini

    Published 2021
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  13. 13
    Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence

    Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence by S. S. S. , Ranjit

    Published 2011
    “…Based on the theoretical and fundamental research analysis the FUHS16 and UHDS16 algorithms using 16 × 16 block-based motion estimation formulations were developed. …”
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    Book Chapter
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  14. 14
    A stacked ensemble deep learning model for water quality prediction / Wong Wen Yee

    A stacked ensemble deep learning model for water quality prediction / Wong Wen Yee by Wong , Wen Yee

    Published 2023
    “…The proposed deep learning model renders faster without the use of SMOTE. Any resampling algorithm is not a necessity in the case of this proposed algorithm. …”
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  15. 15
    Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms

    Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms by Raheem, Ajiboye Adeleke, Hauwau, Isah-Kebbe, O., Oladele Tinuke

    Published 2014
    “…This study explores the performance accuracies of partitioning-based algorithms and probabilistic model-based algorithm. …”
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  16. 16
    Multi-base number representation in application to scalar multiplication and pairing computation

    Multi-base number representation in application to scalar multiplication and pairing computation by Mohammed Ismail, Abdelwahed

    Published 2011
    “…Multi-bases number representation is used to construct new versions of Miller’s algorithm. …”
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  17. 17
    Implementation Of FPGA Based Encryption Chip Using VHD - Data Encryption Standard (DES) Algorithm

    Implementation Of FPGA Based Encryption Chip Using VHD - Data Encryption Standard (DES) Algorithm by Lim, Mui Liang

    Published 2006
    “…The purpose of this project is to implement FPGA Base Encryption Chip using DES algorithm. Throughout the project, the suitability of the implementation DES algorithm in FPGA will be investigated. …”
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    Monograph
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  18. 18
    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
    “…Another structure of MLP trained using backpropagation algorithm is used to detect and locate the base of the young corn tree using the skeleton of the segmented image. …”
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    Thesis
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  19. 19
    Compiler-based prefetching algorithm for recursive data structure

    Compiler-based prefetching algorithm for recursive data structure by Anuar, Nurulhaini

    Published 2007
    “…This project investigates compiler-based prefetching for pointer based applications particularly those containing Recursive Data Structures (RDS) and designs the proposed algorithm. …”
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  20. 20
    REDUCING LATENCY IN A VIRTUAL REALITY-BASED TRAINING APPLICATION

    REDUCING LATENCY IN A VIRTUAL REALITY-BASED TRAINING APPLICATION by P ISKANDAR, YULITA HANUM

    Published 2006
    “…In order to overcome latency problem, this research is an attempt to suggest a new prediction algorithm based on heuristic that could be used to develop a more effective and general system for virtual training applications. …”
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