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Data-driven brain emotional learning-based intelligent controller-PID control of MIMO systems based on a modified safe experimentation dynamics algorithm
Published 2025“…The MSEDA was used to tune the brain emotional learning-based intelligent controller (BELBIC) together with a proportional-integral-derivative (PID) controller. …”
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Data-driven brain emotional learning-based intelligent controller-PID control of MIMO systems based on a modified safe experimentation dynamics algorithm
Published 2025“…The MSEDA was used to tune the brain emotional learning-based intelligent controller (BELBIC) together with a proportional-integral-derivative (PID) controller. …”
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The development of extra axial brain tumor detection prototype using back propagation based neural network / Suriyanti Panagen
Published 2006“…A research about brain tumor also has. been done and all data needed for this system was collected from Hospital Universiti Sains Malaysia (HUSM) Kubang Kerian, Kelantan. …”
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Computational biology: where nature meets technology / Ts Faikah Awang @ Ismail and Ts Mohamad Shahrimi Hashim
Published 2023“…It all began in the early 1970s when basic artificial intelligence was developed to create the neural network model for the human brain to generate new algorithms. …”
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Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool
Published 2018“…The use of sensors known as Brain-Computer Interface (BCI) tool can monitor the physical processes and mental states that occur in the human brain. …”
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Detection of partial seizure: An application of fuzzy rule system for wearable ambulatory systems
Published 2014“…Electroencephalography (EEG) plays an intelligent role, especially EEG based health diagnosis of brain disorder, as well as brain-computer interface (BCI) applications. …”
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Classification of left/right hand movement from EEG signal by intelligent algorithms
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Development of Straight Line Robot Movement Using Digital Compas Module
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Development of a steady state visual evoked potential (SSVEP)-based brain computer interface (BCI) system
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Detection of partial seizure: An application of fuzzy rule system for wearable ambulatory systems
Published 2014“…Electroencephalography (EEG) plays an intelligent role, especially EEG based health diagnosis of brain disorder, as well as brain-computer interface (BCI) applications. …”
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Brain tumor MRI medical images classification with data augmentation by transfer learning of VGG16
Published 2021“…The ability to estimate conclusions without direct human input in healthcare systems via computer algorithms is known as Artificial intelligence (AI) in healthcare. …”
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Current applications of machine learning in dentistry
Published 2022“…Machine learning (ML), a subset of AI was described as an algorithm with the ability to "learn" by identifying patterns in a large dataset (Rowe, 2019). …”
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What, how and when to use knowledge in neural network application
Published 2004“…Neural network is one of the well-known artificial intelligence techniques. Neural Networks attempt to bring computers a little closer to the brain's capabilities by imitating certain aspects of information processing in the brain,"i a highly simplified way.These disciplines formulate a formula to form a brain like function, called artificial neuron. …”
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EEG Spectrogram Classification Employing ANN for IQ Application
Published 2013“…The EEG signals are then used to form the spectrogram images, from which a large data of Gray Level Co-occurrence Matrix (GLCM) texture features were extracted. …”
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Adaptive multi-parent crossover GA for feature optimization in epileptic seizure identification
Published 2019“…Furthermore, and to improve the performance of a classifier, more data is required from EEG channels for complex problems. …”
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The Classification of Wink-Based EEG Signals: The identification on efficiency of transfer learning models by means of kNN classifier
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Discrete wavelet packet transform for electroencephalogram-based emotion recognition in the valence-arousal space
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Development of Artificial Intelligent Techniques for Manipulator Position Control
Published 2002“…This work combines three methods in artificial intelligence: fuzzy rules, neural networks, and genetic algorithm to form the soft computing plant uniquely planned for a six degree-of-freedom serial manipulator. …”
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