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  1. 1
    Artificial neural network learning enhancement using Artificial Fish Swarm Algorithm

    Artificial neural network learning enhancement using Artificial Fish Swarm Algorithm by Hasan, Shafaatunnur, Tan, Swee Quo, Shamsuddin, Siti Mariyam, Sallehuddin, Roselina

    Published 2011
    “…Artificial Neural Network (ANN) is a new information processing system with large quantity of highly interconnected neurons or elements processing parallel to solve problems.Recently, evolutionary computation technique, Artificial Fish Swarm Algorithm (AFSA) is chosen to optimize global searching of ANN.In optimization process, each Artificial Fish (AF) represents a neural network with output of fitness value.The AFSA is used in this study to analyze its effectiveness in enhancing Multilayer Perceptron (MLP) learning compared to Particle Swarm Optimization (PSO) and Differential Evolution (DE) for classification problems.The comparative results indeed demonstrate that AFSA show its efficient, effective and stability in MLP learning.…”
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  2. 2
    Recognizing complex human activities using hybrid feature selections based on an accelerometer sensor

    Recognizing complex human activities using hybrid feature selections based on an accelerometer sensor by Zainudin, Muhammad Noorazlan Shah, Sulaiman, Md Nasir, Mustapha, Norwati, Perumal, Thinagaran, Mohamed, Raihani

    Published 2017
    “…Wearable sensor technology is evolving in parallel with the demand for human activity monitoring applications. …”
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  3. 3
    Ciphercrypt-an Encryption System / Nor Hidayah Ngah

    Ciphercrypt-an Encryption System / Nor Hidayah Ngah by Nor Hidayah, Ngah

    Published 2004
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  4. 4
    Comparison of algorithm Support Vector Machine and C4.5 for identification of pests and diseases in chili plants

    Comparison of algorithm Support Vector Machine and C4.5 for identification of pests and diseases in chili plants by M, Irfan, N, Lukman, A. A, Alfauzi, J, Jumadi

    Published 2019
    “…In this study comparing the performance classification techniques of Support Vector Machine (SVM) and C4.5 algorithms. The attributes used consist of Leaves, Stems, and Fruits. …”
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  5. 5
    Robotics in Education

    Robotics in Education by Norashikin, M. Thamrin, Addie, Irawan, Zurita, Zulkifli, Syed Abdul Mutalib, Al Junid, Megat Syahirul Amin, Megat Ali, Anwar P. P., Abdul Majeed

    Published 2026
    “…Practical guidance encompasses the design of mechanical and electrical systems, the integration of sensors (e.g., ultrasonic, IMUs), and their application in real-world scenarios. Projects advance from basic movement programming to sophisticated AI-driven tasks such as autonomous navigation and object recognition. …”
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  6. 6
    The effect of microrna targeting IL17RA in regulating the expression of RANKL and OPG in stem cells from human exfoliated deciduous teeth

    The effect of microrna targeting IL17RA in regulating the expression of RANKL and OPG in stem cells from human exfoliated deciduous teeth by Keflee, Rashidi Dzul

    Published 2018
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  7. 7
    Compression of Three-Dimensional Terrain Data Using Lifting Scheme Based on Second Generation Wavelets

    Compression of Three-Dimensional Terrain Data Using Lifting Scheme Based on Second Generation Wavelets by Pradhan, Biswajeet

    Published 2006
    “…The newly developed algorithm was applied to compress Light Detection and Ranging (LIDAR) data to check the efficiency of the program. …”
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