Search Results - (( developing block propagation algorithm ) OR ( java code classification algorithm ))

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  1. 1

    Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

    Published 2011
    “…A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
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    Article
  2. 2

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
    “…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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    Monograph
  3. 3

    Parallel Block Methods for Solving Ordinary Differential Equations by Abdul Majid, Zanariah

    Published 2004
    “…The new codes are based on the implicit multistep block methods formulae. Subsequently, a more structured and efficient algorithm comprising the block methods was constructed for solving systems of first order ODEs using variable step size and order. …”
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    Thesis
  4. 4

    Development of unconstrained handwritten digit extraction, segmentation and recognition on bank cheques using artificial neural network by Francis, Adam

    Published 2005
    “…The third objective is to perform Vertical Splitting Algorithm technique for digit segmentation. And lastly, to develop an Artificial Neural Network for digit recognition. …”
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    Student Project
  5. 5

    Identifying the influential spreaders in multilayer interactions of online social networks by Al-Garadi, M.A., Varathan, Kasturi Dewi, Ravana, S.D., Ahmed, E., Chang, V.

    Published 2016
    “…The results analysis concluded that improving the accuracy of influential spreaders identification in OSNs is not only by improving identification algorithms but also by developing a network topology that represents the information diffusion well. …”
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    Article
  6. 6

    Implementation and integration of HF messaging system with cryptographic features by Mat Sidek, Abd. Rahim

    Published 2006
    “…This radio frequency spectrum allows the communication to be made for long distances either 100 km or more, direct by sky-wave propagation. By using existing HF radio and modem, a software application was developed to allow people to exchange their digital information in the form of short messages, text files and images. …”
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    Thesis
  7. 7

    ConVnet BiLSTM for ASD classification on EEG brain signal by Ahmad Radzi, Syafeeza, Ali, Nur Alisa, Ja'afar, Abd Shukur, Kamal Nor, Norazlin

    Published 2022
    “…In this paper, we propose a novel autism diagnosis method that is based on a hybrid of the deep learning algorithms. This hybrid consists of a convolutional neural network (ConVnet) architecture that merges two LSTM blocks (BiLSTM) with the other direction of propagation to classify the output state on the brain signal data from electroencephalogram (EEG) on individuals; typically development (TD) and autism (ASD) obtained from the Simon Foundation Autism Research Initiative (SFARI) database to classify the output state. …”
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    Article
  8. 8

    Hybridflood algorithms minimizing redundant messages and maximizing efficiency of search in unstructured P2P networks by Barjini, Hassan

    Published 2012
    “…In the second step the algorithm follows a teeming search. QuickFlood compared with blocking expanding ring search decreased redundant messages by 70%, increased two-time success rate and decreased latency by 30%. …”
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    Thesis
  9. 9

    ReSTiNet: An efficient deep learning approach to improve human detection accuracy by Shahriar Shakir, Sumi, Dayang Rohaya, Awang Rambli, Mirjalili, Seyedali, Miah, M. Saef Ullah, Muhammad Mudassir, Ejaz

    Published 2023
    “…To improve the detection speed and accuracy of ReSTiNet, the residual block within the fire modules is carefully designed to increase the feature propagation and maximize the information flow in the network. …”
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    Article
  10. 10

    ReSTiNet: An Efficient Deep Learning Approach to Improve Human Detection Accuracy by Sumit, S.S., Rambli, D.R.A., Mirjalili, S., Miah, M.S.U., Ejaz, M.M.

    Published 2023
    “…To improve the detection speed and accuracy of ReSTiNet, the residual block within the fire modules is carefully designed to increase the feature propagation and maximize the information flow in the network. …”
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    Article
  11. 11

    ReSTiNet : An efficient deep learning approach to improve human detection accuracy by Sumit, Shahriar Shakir, Dayang Rohaya, Awang Rambli, Seyedali, Mirjalili, Miah, Md Saef Ullah, Muhammad Mudassir, Ejaz

    Published 2023
    “…To improve the detection speed and accuracy of ReSTiNet, the residual block within the fire modules is carefully designed to increase the feature propagation and maximize the information flow in the network. …”
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    Article