Search Results - (( programme image classification algorithm ) OR ( java application optimisation algorithm ))
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1
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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2
Automatic Classification of Cervix Type
Published 2019“…Due to that, in this study, few algorithms were developed by using image classification methods to correctly classify the cervix types based on cervical images by using segmentation and classification method. …”
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Final Year Project -
3
Leaf condition analysis using convolutional neural network and vision transformer
Published 2024“…As a result, although customers may receive an excellent interactive features programme, the backend algorithm is not optimized. …”
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4
Register Transfer Level Implementation Of Pooling - Based Feature Extraction For Finger Vein Identification
Published 2017“…The algorithm was mainly inspired by spatial pyramid pooling in generic image classification combined with PCA. …”
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Thesis -
5
Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui
Published 2016“…Parallel imaging is a robust method for accelerating the data acquisition in Magnetic Resonance Imaging (MRI). …”
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6
Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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7
Fpga-Based Accelerator For The Identification Of Finger Vein Pattern Via K-Nearest Centroid Neighbors
Published 2016“…In order to increase the processing, this thesis introduces an architecture for finger vein recognition based on K-Nearest Centroid Neighbors (KNCN) classifier implemented on Field Programmable Gate Array (FPGA). KNCN is a type of classification technique in image processing which involves calculation of centroid and sorting of K-nearest centroid neighbors. …”
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8
The identification of high potential archers based on relative psychological coping skills variables: a support vector machine approach
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Trap colour strongly affects the ability of deep learning models to recognize insect species in images of sticky traps
Published 2024“…In this study, we aim to investigate the influence of sticky trap colour and imaging devices on the performance of deep learning models in classifying pests on sticky traps. …”
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10
The employment of support vector machine to classify high and low performance archers based on bio-physiological variables
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11
Using genetic algorithms to optimise land use suitability
Published 2012“…Land use/ Land Cover is obtained by satellite image processing that the overall kappa of the classification is 87.4% and the overall accuracy is 89.6%. …”
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Thesis
