Search Results - (( parameter optimization _ algorithm ) OR ( features extraction function algorithm ))
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1
Estimating Face Emotion using Genetic Algorithm
Published 2009Subjects: “…Feature extraction…”
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A new approach for recognition of human emotions
Published 2009Subjects: “…Feature extraction…”
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3
Development of a personified face emotion recognition technique using fitness function
Published 2009Subjects: “…Feature extraction…”
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Japanese face emotions classification using lip features
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Personalized human emotion classification using genetic algorithm
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Improvement on rooftop classification of worldview-3 imagery using object-based image analysis
Published 2019“…Furthermore, a systematic feature selection approach was proposed in which search algorithms (Ant-Search, Best First-Search and Particle Swamp Optimization (PSO) - Search) performance were evaluated to select the most significant features. …”
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Thesis -
9
PREDICTIVE MAXIMUM POWER POINT TRACKING (MPPT) ALGORITHM FOR PERMANENT EXCHANGE MEMBRANE FUEL CELL (PEMFC)
Published 2022“…A comparison of PEMFC performances based on the proposed technique with other existing MPPT algorithms will be done to validate the algorithm performance. …”
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Final Year Project Report / IMRAD -
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Removal of BCG artefact from concurrent fMRI-EEG recordings based on EMD and PCA
Published 2017“…The algorithm does not require extra electrocardiogram (ECG) or electrooculogram (EOG) recordings to extract the BCG artefact. …”
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Implementation of machine learning techniques with big data and IoT to create effective prediction models for health informatics
Published 2024“…In the map phase, the statisticalfeatures and the Principal Component Analysis (PCA) features are extracted. In the reduction phase, the optimal features are selected with theaid of the developed Hybrid Flower Pollination Bumblebees Optimization Algorithm (HFPBOA). …”
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Task-state EEG signal classification for spatial cognitive evaluation based on multiscale high-density convolutional neural network
Published 2022“…Secondly, to enhance feature propagation and reduce the number of parameters, the dense network was connected after the multi-scale convolutional network, and the learning rate change function of the stochastic gradient descent algorithm was optimized to objectively evaluate the training effect. …”
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13
Operational structural damage identification using de-noised modal feature in machine learning / Chen Shilei
Published 2021“…WCC analysis was carried out on the PCA-reduced FRF to extract damage-sensitive PCA-WCC features. The unsupervised hierarchical cluster analysis was then conducted on these features. …”
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14
Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad
Published 2018“…Feature extraction and selection reduces the number of features. …”
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Thesis -
15
Utilizing artificial bee colony algorithm as feature selection method in Arabic text classification
Published 2023“…One of the widely used algorithms for feature selection in text classification is the Evolutionary algorithm . …”
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Features extraction based on fuzzy clustering and segmentation onto the motion region for medium field surveillance application
Published 2004“…In this work we present features extraction based on fuzzy clustering and segmentation onto the motion region for medium field surveillance application. …”
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Book Section -
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Face recognition using integrated discrete cosine transform and kernel fisher discriminant analysis
Published 2023Subjects:Conference paper -
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Investigation of features for classification RFID reading between two RFID reader in various support vector machine kernel function
Published 2022“…The feature of RSSI is extracted to nine single statistical features and three combinations of different statistical features for evaluated the classification performance in different kernel functions of the SVM classifier. …”
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Conference or Workshop Item -
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Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition
Published 2004“…The RNN was used to detect patterns present in satellite image. A novel feature extraction algorithm was developed to extract the feature vectors. …”
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Thesis -
20
Mel Frequency Cepstral Coefficient (MFCC) extraction for speaker identification on FPGA
Published 2009Get full text
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