Search Results - (( intelligence _ data algorithm ) OR ( intelligence brain computer algorithm ))
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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 safe experimentation dynamics algorithm (SEDA) is one such method that optimizes controller parameters using data-driven techniques. …”
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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 safe experimentation dynamics algorithm (SEDA) is one such method that optimizes controller parameters using data-driven techniques. …”
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The development of extra axial brain tumor detection prototype using back propagation based neural network / Suriyanti Panagen
Published 2006“…With the help of this system, doctor can ease their diagnosing task by running this program and do some data training and then testing the data to get the better result. …”
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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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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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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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Classification of left/right hand movement from EEG signal by intelligent algorithms
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Classification of EEG Spectrogram Using ANN for IQ Application
Published 2013“… The intelligence term can be view in many areas such as linguistic, mathematical, music and art. …”
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Development of Straight Line Robot Movement Using Digital Compas Module
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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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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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EEG Spectrogram Classification Employing ANN for IQ Application
Published 2013“…The term intelligence is associated in many areas such as linguistic, mathematical, music and art. …”
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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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Current applications of machine learning in dentistry
Published 2022“…Artificial intelligence (AI) is the general description given to computer systems that can perform tasks and mimic the requirement of human intelligence input (Pesapane et al., 2018). …”
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Adaptive multi-parent crossover GA for feature optimization in epileptic seizure identification
Published 2019“…The proposed technique was evaluated using the publicly available epileptic seizure data from the machine learning repository of the UCI center for machine learning and intelligent systems. …”
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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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