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    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 design of hardware, software, and algorithms will be discussed. SSD-MobileNet will be used for subsequent experiments, out of the two architectures evaluated, Tiny YOLO and SSD-MobileNet. …”
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    Proceeding Paper
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    On the combination of adaptive neuro-fuzzy inference system and deep residual network for improving detection rates on intrusion detection by Jia, Liu, Yin Chai, Wang, Chee Siong, Teh, Xinjin, Li, Liping, Zhao, Fengrui, Wei

    Published 2022
    “…To alleviate this problem, we proposed a method that combines the Adaptive Neuro-fuzzy Inference System (ANFIS) and the ResNet algorithm. This method can make use of the advantages of both the ANFIS and ResNet, and alleviate the overfitting problem of ResNet. …”
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    Article
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    DEVELOPMENT OF DRIVER DROWSINESS DETECTION ALGORITHM by YVONNE, PHUA YEE WUN

    Published 2022
    “…To contribute to the existing works of driver drowsiness detection systems, this project aims to develop a more useful drowsiness detection algorithm with low complexity and high performance using Python 3.10.1 software. …”
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    Final Year Project Report / IMRAD
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    RSA Encryption & Decryption using JAVA by Ramli, Marliyana

    Published 2006
    “…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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    Final Year Project
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    Analysis of detection system for cover tape offset in the tap and reel process using neural net time series method by Khamil, Khairun Nisa, Rosli, Muhammad Irfan, Sulaiman, Siti Fatimah, Mohd Chachuli, Siti Amaniah, Isa, Ahmad Nizam

    Published 2025
    “…Additionally, the data is analyzed in MATLAB Neural Net Time Series for predictive analysis. The findings of this research, including the analysis of training results, demonstrate the successful implementation of a reliable cover tape misalignment detection system. …”
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    Article
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    Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications by Teoh, Ming Xue

    Published 2025
    “…In recent studies, we seen developers and researchers proposing solutions on deep learning algorithms like YOLO, EfficientNet, CNN, MobileNet etc. …”
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    Final Year Project / Dissertation / Thesis
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    Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR) by Chowdhury Sajadul Islam

    Published 2026
    “…The hyperparameter optimization achieved best performance by implementing the EHS algorithm at the system level, thereby increasing feature-detection accuracy and bridging the gap between deep learning innovation and real-world malware detection and response models. …”
    thesis::doctoral thesis
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    Driver drowsiness detection system through facial expression using Convolutional Neural Networks (CNN) / Nipa Das Gupta, Rajesvary Rajoo and Patricia Jayshree Jacob by Gupta, Nipa Das, Rajoo, Rajesvary, Jacob, Patricia Jayshree

    Published 2023
    “…Our results show that the SSD ResNet50 V1 model exhibited the highest accuracy and consistency in detecting driver drowsiness, underscoring the potential of our innovative system in promoting road safety. …”
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    Article
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    A multi-nets ANN model for real-time performance-based automatic fault diagnosis of industrial gas turbine engines by Tahan, M., Muhammad, M., Abdul Karim, Z.A.

    Published 2017
    “…The ability of all the trained networks of the multi-nets model to detect these faulty conditions was investigated. …”
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    Article
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    Augmenting the Robustness and Efficiency of Violence Detection Systems for Surveillance and Non-Surveillance Scenarios by MUHAMMAD, SHOAIB, ASAD, ULLAH, Irshad, Ahmed Abbasi, Fahad, Algarni, Adnan Shahid, Khan

    Published 2022
    “…The keyframes selection process is critical in violence detection systems, as it reduces computational complexity and enhances accuracy. …”
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    Article
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