Search Results - (( developing intensive normalization algorithm ) OR ( java application tree algorithm ))
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Mining Sequential Patterns using I-PrefixSpan
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Automatic label removal from digitized weld radiographs
Published 2007“…Normality test was used to determine if the intensity profile parallel to the weld contains label pixels. …”
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Extraction and reconstruction of retinal vasculature
Published 2007“…This paper presents the development of an image processing algorithm for detecting and reconstructing retinal vasculature. …”
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Development of scalable video compression algorithm
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Book Chapter -
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares
Published 2009“…We modified the classical bootstrapping algorithm by developing a mechanism based on the robust LTS method to detect the correct number of outliers in the each bootstrap sample. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. The general idea of I-PrefixSpan is to use the efficient data structure for general tree-like framework and separator database to reduce the execution time and memory usage. …”
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Conference or Workshop Item -
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Development of a scalable video compression algorithm
Published 2012“…The result shows that the managed complexity algorithm based on Lagrangian Multiplier function outperforms the normal encoder. …”
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Proceeding Paper -
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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AI powered asthma prediction towards treatment formulation : An android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking
Published 2012“…Over the last decade, many algorithms have been developed to address this problem. …”
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Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves
Published 2024“…Traditional methods often rely on expert visual assessments, which are labour-intensive, subjective, and time-consuming. The proposed method integrates colour and texture feature-based image analysis with machine learning algorithms for classification. …”
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Integration of fuzzy logic control algorithm in the development of optical fiber daylighting system for energy savings / Fuziah Sulaiman.
Published 2006“…The switch used Fuzzy Logic Control Algorithm for automated lighting and dimming control. …”
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Monitoring And Fault Diagnosis Of Electrical Installation Using Thermal Imaging
Published 2018“…MATLAB is chosen as a platform to develop the algorithm to process the infrared image. …”
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Monograph -
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Modelling of geometric correction and relative radiometric normalization for near equatorial earth observation satellite images
Published 2015“…The research aims is study the near equatorial satellite images and develop models that can overcome the difficulties that facing processing of near equatorial satellite imagery as follow: (1) To develop band to band registration model for near equatorial image, to overcome the highly nonlinear band shifting of the near equatorial image bands. (2) To develop geometric correction model for near equatorial images, to reduce the highly geometric correction between the near equatorial imagery. (3) To design and implement remote sensing goniometer to simulate NEqO system images, to simulate the near equatorial satellite image. (4) To develop relative radiometric normalization model for NEqO images, to normalize the near equatorial images that have been captured at different time. …”
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Automated detection and evaluation of ischemic stroke on ct brain imaging using machine learning techniques
Published 2025“…This study investigates the application of machine learning algorithms for the detection of ischemic stroke using CT brain images. …”
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Monograph -
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Impacting clinical evaluation of anterior talofibular ligament injuries through analysis of ultrasound images
Published 2016“…Results: The performance of the developed framework is evaluated based on various measurement metrics. …”
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