Search Results - (( network segmentation method algorithm ) OR ( java simulation optimization algorithm ))
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Segmenting nodules of lung tomography image with level set algorithm and neural network
Published 2019“…The result shows that the proposed segmentation method can effectively segment the lung nodule.…”
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A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul'aini Hambali
Published 2015“…This method adds separation and inverse processes to the algorithm in order to produce the best segmented images. …”
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Automatic Segmentation and Classification of Skin Lesions in Dermoscopic Images
Published 2024“…The third proposed segmentation algorithm involves two pipelines for feature extraction: split & merge methods and Contextual Encoding Network (EncNet) with an attention mechanism. …”
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Application of Fuzzy C-Means with YCbCr and DenseNet-201 for Automated Corn Leaf Disease Detection
Published 2021“…The results show that the proposed method performed better than the previous methods with 96.81% for segmentation as well as 95.11% for classification and it is discovered to be a good fusion of algorithms to detect plant leaf diseases.…”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
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Mr image volume segmentation using neuro-fuzzy method / Ahmad Safwan Mohamed Makki
Published 2003“…This documentation is about the implementation of neuro-fuzzy approach using Fuzzy Hopfield Neural Network (FHNN) algorithm for the segmentation process of MR image data sets.…”
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Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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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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Automated threshold detection for object segmentation in colour image
Published 2016“…In solving this issue, this paper presents an Automated Threshold Detection Algorithm, H(•). The algorithm is applied in segmenting human lower limbs from a series of image frames of human walking. …”
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Malaria parasites segmentation in red blood cells images using mean-shift and median-cut
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Book Section -
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Survey on Clustered Routing Protocols Adaptivity for Fire Incidents: Architecture Challenges, Data Losing, and Recommended Solutions
Published 2025“…Thus, developing an effective routing algorithm to optimize network functionality is a big concern. …”
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Face expression recognition using artificial neural network (ANN) / Mazuraini Ghani
Published 2005“…In this project, the suitable method of segmentation is local adaptive threshold. …”
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Enhanced Reinforcement Learning Model for Extraction of Objects in Complex Imaging
Published 2022“…The visualization and classification of the area of interest in any picture is therefore an important function in order to segment the image. We examine a variety of image segmentation algorithms and give our reinforcement learning algorithm that uses Deep Convolutional Neural Networks for the detection of irregular objects, which has been tested on four datasets. …”
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Real-time vision-based Malaysian road sign recognition using an artificial neural network / Kh Tohidul Islam
Published 2017“…This hybrid color segmentation algorithm contains a RGB histogram equalization, RGB color segmentation, modified grayscale segmentation, binary image segmentation, and a shape matching algorithm. …”
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Retinal blood vessel segmentation by using matched filtering and fuzzy C-means clustering with integrated level set method for diabetic retinopathy assessment
Published 2019“…These datasets are commonly used for benchmarking the accuracy of retinal vessel segmentation methods where it was shown to achieve a mean accuracy of 0.961, 0.951 and 0.939, respectively.Conclusion: The proposed segmentation method was able to achieve comparable accuracy to other methods while being very close to the manual segmentation provided by the second observer in all datasets.…”
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Tumor Extraction for Brain Magnetic Resonance Imaging Using Modified Gaussian Distribution
Published 2006“…A method for hzzy connectedness and combinations of the different segmentation techniques were experimented. …”
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Automatic Road Network Recognition and Extraction for Urban Planning
Published 2009“…A Hybrid Simple Colour Space Segmentation & Edge Detection (Hybrid SCSS-EDGE) algorithm was developed to extract roads automatically from satellite-taken images. …”
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