Search Results - (( intelligence pca based algorithm ) OR ( intelligence system aims algorithm ))
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Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui
Published 2016“…This thesis aimed to investigate and develop a novel parameterized architecture design for SENSE algorithm. …”
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2
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. …”
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3
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…The best accuracy result of 99.97% is obtained when the model operates in a hybrid mode based on a combination of PCA, LDA and RF algorithms, and the data reduction parameter equals 40…”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. …”
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5
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2023“…Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. …”
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Classification of left/right hand movement from EEG signal by intelligent algorithms
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CSC583 - Artificial Intelligence Algorithms / College of Computing, Informatics and Media
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CSC583: Artificial Intelligence Algorithms / College of Computing, Informatics and Mathematics
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Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying
Published 2019“…An ensemble of these algorithms is an intelligent and adaptive solution, producing a clean output, while preserving significant pixel information. …”
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11
Performance Evaluation of BPSO & PCA as Feature Reduction Techniques for Bearing Fault Diagnosis
Published 2022“…The reduced feature subsets were 12 and 35 for PCA and BPSO, respectively. K-Nearest Neighbours (K-NN) was used as an intelligent method for fault diagnosis. …”
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Performance evaluation of BPSO & PCA as feature reduction techniques for bearing fault diagnosis
Published 2021“…The reduced feature subsets were 12 and 35 for PCA and BPSO, respectively. K-Nearest Neighbours (K-NN) was used as an intelligent method for fault diagnosis. …”
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13
Intelligent grading of agarwood essential oil quality using artificial neural network (ANN) / Noratikah Zawani Mahabob
Published 2022“…This research proposes an intelligent technique for grading agarwood essential oil based on its chemical properties using the artificial neural network (ANN) technique. …”
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14
Classification of EEG Spectrogram Using ANN for IQ Application
Published 2013“…This texture feature produced big matrix data, thus Principal Component Analysis (PCA) is used to reduce the big matrix. Then, ANN algorithm is employed to classify the EEG spectrogram image in IQ application. …”
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15
Optimal location and size estimation of distributed generators by employing grouping particle swarm optimization and grouping genetic algorithm
Published 2017“…These two algorithms are compared to their original artificial intelligence algorithms, i.e. particle swarm optimization algorithm and genetic algorithm. …”
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16
Semantic focus fusion based on deep learning for deblurring effect
Published 2024“…In a rapid development of intelligent computation, such as deep learning algorithm, multi-focus image fusion methods indirectly being involved, such as CNN and PCA Net architectures. …”
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Solving university examination timetabling problem using intelligent water drops algorithm
Published 2024Conference Paper -
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EEG Spectrogram Classification Employing ANN for IQ Application
Published 2013“…Then, Principal Component Analysis (PCA) is used to reduce the big matrix, and is followed with the classification of the EEG spectrogram image in IQ application using ANN algorithm. …”
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Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband
Published 2014“…Owing to the distributed nature of modern attacks (e.g. denial-of-service), it is extremely challenging to detect such malicious behaviour using traditional intrusion detection systems. In this thesis, we investigate the possibility of adapting an intelligent system to an Intrusion Detection System (IDS) by proposing a cooperative and intelligent detection and prevention system using machine learning approaches, and aim to facilitate the detection and prevention process in a distributed environment. …”
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Reference-point modified honey badger algorithm: Intelligent optimization for off-grid photovoltaic system / Nur Atharah Kamarzaman ... [et al.]
Published 2024“…Through increased adoption of renewable energy and cost-effective energy provision, this innovation supports entities like TNB, SEDA, and MOSTI in advancing national electricity generation and harnessing artificial intelligence for PV system optimization. Furthermore, this aligns with the United Nations Sustainable Development Goal (SDG) 7, which aims to ensure access to affordable, reliable, sustainable, and modern energy for all.…”
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