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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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Modified Piecewise Linear Mapping Contrast Enhancement And Local Otsu Segmentation Methods For Hep-2 Cell Images
Published 2019“…Most existing works focussed on HEp-2 cell classification and very few efforts have been dedicated to study the importance of the pre-processing and segmentation techniques. …”
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Thesis -
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Malaria parasites segmentation in red blood cells images using mean-shift and median-cut
Published 2010“…The proposed method applies in two major components of both algorithms. Before starting the analysis, image pre-processing procedure was applied to improve the image before altering the RGB colour space to LUV colour space. …”
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MITOTIC HEp-2 CELL RECOGNITION USING LOCAL BINARY PATTERN (LBP) AND k-NEAREST NEIGHBOUR (k-NN) CLASSIFIER
Published 2014“…This work involves five stages; image acquisition, pre-processing, feature extraction, distance measurement and classification.…”
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Final Year Project -
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FEATURES EXTRACTION OF HEP-2 IMMUNOFLUORESCENCE PATTERNS BASED ON TEXTURE AND REGION OF INTEREST TECHNIQUES
Published 2013“…Next, to design an algorithm that can automatically identify the 2 patterns of the HEp-2 cell tested using ANA. …”
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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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Block based low complexity iterative QR precoder structure for Massive MIMO
Published 2021“…The simulated environment consists of single cell Massive MIMO with up to 512 antennas at the BS and 2 antennas per user. …”
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Classification Of Cervical Cancer Stage From Pap Smear Tests
Published 2019“…The proposed approach will implement stages of image pre-processing, feature selection and extraction as well as classification of classes. …”
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Final Year Project -
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Braille2Alpha: braille dots recognition with alphanumeric conversion
Published 2017“…Image pre-processing relies heavily on various segmentation algorithms in the MATLAB image processing Toolbox. …”
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A hybrid approach for artificial immune recognition system / Mahmoud Reza Saybani
Published 2016“…The components of the AIRS2 algorithm that pose problems will be modified. This thesis proposes three new hybrid algorithms: The FRA-AIRS2 algorithm uses fuzzy logic to improve data reduction capability of AIRS2 and to solve the linearity problem associated with resource allocation of AIRS. …”
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State-of-charge estimation for lithium-ion batteries with optimized self-supervised transformer deep learning model
Published 2023“…In this study, the weights of a model trained on an NMC cell are transferred to an NCA cell and vice versa. …”
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White blood cell recognition for biomarker model using improved convolutional neural network (CNN)
Published 2022“…White Blood Cell (WBC) is one of important elements in protecting human’s immunity system. …”
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Finite Element Modeling Of Ballistic Penetration into Fabric Armor
Published 2006“…This program (named DYNTEX) based on the mentioned algorithm is designed using MATLAB code. A commercial finite element code named LS-DYNA is used as the solver and DYNTEX program is then extended to do the pre-processing for LS-DYNA. …”
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Healthcare professional in the loop (HPIL): Classification of standard and oral cancer-causing anomalous regions of oral cavity using textural analysis technique in autofluorescenc...
Published 2020“…An innovative method based on pre-processing, e.g., the Dericheâ��Canny edge detector and circular Hough transform (CHT); a post-processing textural analysis approach using the gray-level co-occurrence matrix (GLCM); and a feature selection algorithm (linear discriminant analysis (LDA)), followed by k-nearest neighbor (KNN) to classify OPMDs and the standard region, is proposed in this paper. …”
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Healthcare professional in the loop (HPIL): Classification of standard and oral cancer-causing anomalous regions of oral cavity using textural analysis technique in autofluorescenc...
Published 2020“…An innovative method based on pre-processing, e.g., the Dericheâ��Canny edge detector and circular Hough transform (CHT); a post-processing textural analysis approach using the gray-level co-occurrence matrix (GLCM); and a feature selection algorithm (linear discriminant analysis (LDA)), followed by k-nearest neighbor (KNN) to classify OPMDs and the standard region, is proposed in this paper. …”
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