Search Results - (( development training perception algorithm ) OR ( java implication based algorithm ))

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    Development of energy storage system for storing regenerative braking energy from train by Faizal Zamani, Dollah

    Published 2022
    “…ETrax software is used for dynamic load flow simulations to obtain an accurate estimation of the energy recovery captured in the system in each operation mode by incorporating train headway interval variations, algorithm and the effects of train schedules on the operating mode.…”
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    Final Year Project / Dissertation / Thesis
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    Intelligent road recognition system for automous vehicle by Soon, Adrian Bee Toing

    Published 2013
    “…The image features are extracted using simple image processing algorithms and are trained using artificial neural network (ANN). …”
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    Thesis
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    Density based subspace clustering: a case study on perception of the required skill by Rahmat Widia, Sembiring

    Published 2014
    “…Real datasets are from education, particularly regarding the perception of students’ industrial training and from industries due to required skill. …”
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    Density subspace clustering: a case study on perception of the required skill by Sembiring, Rahmat Widia

    Published 2014
    “…Real datasets are from education, particularly regarding the perception of students’ industrial training and from industries due to required skill. …”
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    Thesis
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    Artificial Intelligence (AI) in the art and design industry / Fahmi Samsudin by Samsudin, Fahmi

    Published 2023
    “…Addressing these challenges requires the development of policies and regulations to ensure responsible AI development and application. …”
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    Article
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    Enhanced notes capture using super resolution technique on tecogan by Lee, Theresa Wen Yan

    Published 2023
    “…By using generative adversarial network (GAN), the quality of the visual perception can be greatly improved. TecoGAN, a new Artificial Intelligence (AI) Super-Resolution Algorithm will be introduced in this project. …”
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    Final Year Project / Dissertation / Thesis
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    Deep reinforcement learning-based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles by Abu Jafar, Md Muzahid, Syafiq Fauzi, Kamarulzaman, Rahman, Md. Arafatur, Alenezi, Ali H.

    Published 2022
    “…Moreover, to demonstrate the accuracy of the safety efficiency analysis, multiple training runs of the neural networks in respect of training performance, speed of training, success rate, and stability of rewards with a trade-off between exploitation and exploration during training are presented. …”
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    Article
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    Deep reinforcement learning based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles by Abu Jafar, Md Muzahid, Syafiq Fauzi, Kamarulzaman, Rahman, Md. Arafatur, Alenezi, Ali H.

    Published 2022
    “…Moreover, to demonstrate the accuracy of the safety efficiency analysis, multiple training runs of the neural networks in respect of training performance, speed of training, success rate, and stability of rewards with a trade-off between exploitation and exploration during training are presented. …”
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    Article
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    Risk perception modeling based on physiological and emotional responses / Ding Huizhe by Ding , Huizhe

    Published 2024
    “…Therefore, accurate risk perception has become vital. This research aims to develop models for objectively assessing perceived risk. …”
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    Auto raise hand in Microsoft teams (API/Extension) by Teh, Boon Hin

    Published 2023
    “…Artificial Intelligence focuses on developing intelligences of machines, by developing algorithms, machines are able to learn from data and patterns, even perform tasks that require human intelligence, such as visual perception, speech recognition, and decision-making. …”
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    Final Year Project / Dissertation / Thesis
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    Development of ground truth data for automatic lumbar spine MRI image segmentation by Natalia, Friska, Meidia, Hira, Afriliana, Nunik, Al-Kafri, Ala S., Sudirman, Sud, Simpson, Andrew, Sophian, Ali, Al-Jumaily, Mohammed, Al-Rashdan, Wasfi, Bashtawi, Mohammad

    Published 2019
    “…The quality of the resulting system depends largely on the availability of good data for the machine learning algorithm to train on. Training data of a supervised learning process needs to include ground truth, i.e., data that have been correctly annotated by experts. …”
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    Proceeding Paper
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    Predictive Analytics for Crude Oil Price Using RNN-LSTM Neural Network by Aziz, N., Abdullah, M.H.A., Zaidi, A.N.

    Published 2020
    “…This study aims to certify the capability of a prediction model built based on the RNN-LSTM network to predict the future price of crude oil. The developed model is trained and evaluated against accuracy matrices to assess the capability of the network to provide an improvement of the accuracy of crude oil price prediction as compared to other strategies. …”
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    Conference or Workshop Item
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    Interactive learning package for artificial neural network (Demonstration Module) / Camellia Mohd Kamal by Camellia , Mohd Kamal

    Published 2004
    “…For the Feed Forward, Recurrent and Self Organizing Map Networks there are the Neuron Model, Basic Architecture and Training Algorithm. The demonstrations are included each every topic. …”
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