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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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Robust partitioning and indexing for iris biometric database based on local features
Published 2018“…Moreover, search within a group is achieved using a proposed half search algorithm. …”
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Fingerprint classification : a BI-resolution approach to singular point extraction
Published 2004“…The algorithm will only search for singular points in the finer level in a particular region if and only if there is a hit. …”
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Ensemble classification with modified SIFT descriptor for medical image modality
Published 2016“…In this paper, we present an improved image feature to represent medical images for image modality classification. …”
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Artificial Bee Colony algorithm in estimating kinetic parameters for yeast fermentation pathway
Published 2023“…Parameter estimation is a challenging task in the biological process due to the complexity and nonlinearity of the model. Therefore, we propose the Artificial Bee Colony algorithm (ABC) to estimate the parameters in the fermentation pathway of S. cerevisiae to obtain more accurate values. …”
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Modified symbiotic organisms search optimization for automatic construction of convolutional neural network architectures
Published 2024“…This research introduces an innovative approach to Convolutional Neural Network (ConvNet) architecture generation through the utilization of the Symbiotic Organism Search ConvNet (SOS_ConvNet) algorithm. Leveraging the Symbiotic Organism Search optimization technique, SOS_ConvNet evolves ConvNet architectures tailored for diverse image classification tasks. …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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Personalized face emotion classification using optimized data of three features
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Efficient classifying and indexing for large iris database based on enhanced clustering method
Published 2018“…Explosive growth in the volume of stored biometric data has resulted in classification and indexing becoming important operations in image database systems. …”
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The formulation of a transfer learning pipeline for the classification of the wafer defects
Published 2023“…Automated processes have been used commonly in recent years, with the judgement done by using conventional image processing algorithm. However, limitations such as robustness and difficulty in setting up the parameters required for image processing algorithm encourages the investigation in using Deep learning classification in detecting the wafer defects. …”
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Hybrid Artificial Bees Colony algorithms for optimizing carbon nanotubes characteristics
Published 2018“…Optimization is a crucial process to select the best parameters in single and multi-objective problems for manufacturing process.However,it is difficult to find an optimization algorithm that obtain the global optimum for every optimization problem.Artificial Bees Colony (ABC) is a well-known swarm intelligence algorithm in solving optimization problems.It has noticeably shown better performance compared to the state-of-art algorithms.This study proposes a novel hybrid ABC algorithm with β-Hill Climbing (βHC) technique (ABC-βHC) in order to enhance the exploitation and exploration process of the ABC in optimizing carbon nanotubes (CNTs) characteristics.CNTs are widely used in electronic and mechanical products due to its fascinating material with extraordinary mechanical,thermal,physical and electrical properties. …”
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Detecting lung cancer region from CT image using meta-heuristic optimized segmentation approach
Published 2022“…An optimal tumor detection requires noise reduced computed tomography (CT) images for pixel classification. In this paper, the butterfly optimization algorithm-based K-means clustering (BOAKMC) method is introduced for reducing CT image segmentation uncertainty. …”
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Multi-level of feature extraction and classification for X-Ray medical image
Published 2018“…Therefore, effective techniques for medical image retrieval and classification are required to provide accurate search through substantial amount of images in a timely manner. …”
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Automatic topic-based web page classification using deep learning
Published 2023“…Based on the review, it was found that the image based web page classification showed higher performance compared to the text based web page classification. …”
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Automatic Topic-Based Web Page Classification Using Deep Learning
Published 2023“…Based on the review, it was found that the image based web page classification showed higher performance compared to the text based web page classification. …”
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Intelligent non-destructive classification of josapine pineapple maturity using artificial neural network
Published 2016“…This minimum symmetrical edge distance algorithm wills geometrical rotated the pineapple images which to align with horizontal axis. …”
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Crow Search Freeman Chain Code (CS-FCC) feature extraction algorithm for handwritten character recognition
Published 2023“…In this research, a Crow Search Algorithm (CSA)-based metaheuristic strategy for feature extraction in HCR was developed. …”
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Intuitive content management system via manipulation and duplication with if-else rules classification
Published 2018“…Boyer-Moore Horspool algorithm is adapted in ICMS which is mainly for faster searching result. …”
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