Search Results - (( image classification protocol algorithm ) OR ( java optimization modified algorithm ))
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1
A protocol for developing a classification system of mosquitoes using transfer learning
Published 2022“…This protocol aims to develop step-by-step procedure in developing a classification system with transfer learning algorithm for mosquito, we demonstrate the protocol to classify two species of Aedes mosquito - Aedes aegypti L. and Aedes albopitus L, but user can adopt the protocol for higher number of species classification. …”
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2
Enhancing pineapple cultivar classification: a framework for image quality, feature extraction, and algorithmic refinement
Published 2025“…Accurate classification of pineapple cultivars is hindered by limitations in image acquisition, feature extraction, and classification algorithms. …”
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3
Joint routing protocol and image compression algorithm for prolonging node lifetime in wireless sensor network
Published 2018“…Moreover the implemenetation of multiscale retinex technique results in image enhancement and impoved classification. An implementation of the CPF protocol and image compression technique on a 100 node network with 500 iterations, results in the death of 13 nodes as compard to 38 dead nodes with energy aware protocol for the same network. …”
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4
OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
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Classification of acute leukemia using image processing and machine learning techniques / Hayan Tareq Abdul Wahhab
Published 2015“…The methodology presented in this research consisted of several stages namely, image acquisition, image segmentation, feature extraction/selection and, classification. …”
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6
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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7
Automated feature extraction on brain MRI images for predicting multiple sclerosis patient disability
Published 2022“…Many past studies had used multiple MRI scans and protocols to automate the prediction of MS patients’ disability. …”
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8
Human emotion classifications for automotive driver using skin conductance response signal
Published 2016“…The affective assessment classification rate obtained from SCR processing was more than 70% accuracy based on the off-line support vector machine classifier-processing algorithm. …”
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9
Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…Afterward evolutionary algorithm (EA) was employed to prioritize test cases based on the rate severity of fault detection per unit test cost. …”
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