Search Results - (( using optimization method algorithm ) OR ( brain computer learning 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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Optimizing kindergarten schedule using : graph coloring / Nur Nabilah Salleh Muner
Published 2019“…The greedy algorithm was used to color the graph and it was supported by the C++ program. …”
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Research Reports -
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Mental stress classification based on selected electroencephalography channels using correlation coefficient of Hjorth parameters
Published 2023“…Leveraging features from the time, frequency, and time–frequency domains of these channels, and employing machine learning algorithms, notably RLDA, SVM, and KNN, our approach achieved a remarkable accuracy of 81.56% with the SVM algorithm outperforming existing methodologies. …”
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An analytical review of brainwave analysis for mind-controlled drones: utilizing hybrid neural networks and motor imagery
Published 2025“…Brain-computer interfaces (BCIs) provide direct drone control by interpreting motor imagery brain impulses. …”
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Nature-Inspired cognitive evolution to play Ms. Pac-Man
Published 2011“…So far however, there has been little discussion about the effectiveness of the application of these models to computer and video games in particular. The focus of this research is to explore the hybridization of nature-inspired computation methods for optimization of neural network-based cognition in video games, in this case the combination of a neural network with an evolutionary algorithm. …”
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Development of a scaled conjugate gradient algorithm for significant RF neural signal processing
Published 2025“…Scale Conjugate Gradient (SCG) algorithm is an efficient training method for ANN that accelerates the learning process and improves output accuracy. …”
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Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh
Published 2020“…The training and parameters selection of the machine learning algorithms are conducted using EEG data collected from ten subjects in the laboratory. …”
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Thesis -
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Obso based fractional pid for mppt-pitch control of wind turbine systems
Published 2022“…The proposed model aims to effectually extract the maximum power point (MPPT) in the low range of weather conditions and save the WT in high wind regions by the use of pitch control. The OBSO algorithm is derived from the integration of oppositional based learning (OBL) concept with the traditional BSO algorithm in order to improve the convergence rate, which is then applied to effectively choose the parameters involved in the FOPID controller. …”
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Brain tumor image segmentation using deep learning approach
Published 2022“…Deep learning algorithm is able to provide good tumor segmentation results compared to other conventional segmentation algorithms as it learns from the labeled brain MRIs to predict the location of tumor region and consequently segment the tumor. …”
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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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Biologically-Inspired Modeling of Filtering Noise in Signal Sound
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Conference or Workshop Item -
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Brain Topographic Mapping of Emotions using Computational Cerebellum
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Proceeding Paper -
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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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Applying SAX-based time series analysis to classify EEG signal using a COTS EEG device
Published 2021“…One of the proposals that could help solve this problem is the use of brain-computer interface (BCI)s. Brain-Computer Interface (BCI) can be used as a direct communication path between the brain and an external device. …”
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An improved diagnostic algorithm based on deep learning for ischemic stroke detection in posterior fossa
Published 2020“…Ischemic stroke is triggered by an obstruction in the blood vessel of the brain, preventing the blood to flow to the brain tissues region. …”
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