Search Results - (( feature extraction function algorithm ) OR ( java optimization based algorithm ))
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1
Estimating Face Emotion using Genetic Algorithm
Published 2009Subjects: “…Feature extraction…”
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2
Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
Published 2013“…The optimization of a computationally intensive algorithm such as this on a mobile platform is challenging due to the limited resources available. …”
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3
Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…Hence, the objective of this research is to propose suitable and optimize algorithm for ANPR system on Android mobile phone. …”
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4
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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5
Development of a personified face emotion recognition technique using fitness function
Published 2009Subjects: “…Feature extraction…”
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Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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7
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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8
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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9
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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10
Japanese face emotions classification using lip features
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11
Face recognition using integrated discrete cosine transform and kernel fisher discriminant analysis
Published 2023Subjects:Conference paper -
12
A new approach for recognition of human emotions
Published 2009Subjects: “…Feature extraction…”
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13
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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14
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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15
Mel Frequency Cepstral Coefficient (MFCC) extraction for speaker identification on FPGA
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Input-output based relation combinatorial testing using whale optimization algorithm for generating near optimum number of test suite
Published 2025“…This study proposes a combinatorial testing method utilizing the Whale Optimization Algorithm (WOA). The study compares the performance of WOA with various existing strategies, such as Greedy, Density, TVG, Union, ParaOrder, ReqOrder, ITTDG, AURA, Java Algorithm (CTJ), TTSGA, and AFA. …”
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19
A heuristics approach for classroom scheduling using genetic algorithm technique
Published 2017“…The proposed of heuristics approach will prompt a superior utilization of the accessible classroom space for a given time table of courses at the university. Genetic Algorithm through Java programming languages were used in this study and aims at reducing the conflicts and optimizes the fitness. …”
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20
Feature extraction using neocognitron learning in hierarchical temporary memory
Published 2015“…As for evaluation, a comparison is made against the original HTM and principal component analysis (PCA).The results show that more features are extracted as a function of input patterns than the original HTM and PCA.…”
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