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Postsurgery classification of best-corrected visual acuity changes based on Pterygium Characteristics using the Machine Learning Technique
Published 2021“…Conclusion. Machine learning algorithms can produce a highly accurate postsurgery classification model of BCVA changes using pterygium characteristics.…”
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Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
Published 2024thesis::doctoral thesis -
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Development of a Spatiotemporal Data Model for Management and Visualization of Surface Movement Data
Published 2008“…Thus, a Spatiotemporal Data Model is required to manage changes in GIS data. …”
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Investigation Of Edge Detection Techniques Based On Brain Tumor Images
Published 2018“…However, from visual perspective, Sobel operator produced better edge maps of the brain tumor compared to the Modified Canny algorithm.…”
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Study and Designing of Digital Three-Dimension Space Visualizer for Centralize Drone Performance
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Final Year Project Report / IMRAD -
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Neural Network Based Pattern Recognition in Visual Inspection System for Intergrated Circuit Mark Inspection
Published 1998“…Such problem was faced by a multinational semiconductor manufacturer. Therefore a study was conducted to introduce a new algorithm to inspect integrated circuit package markings. …”
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Use of hybrid classification algorithm for land use and land cover analysis in data scarce environment
Published 2013“…A multi-date post-classification comparison algorithm was used to determine LULC changes in two intervals, 1986-1990, and 1990-2000. …”
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Target tracking using color based particle filter
Published 2014“…A robust and efficient visual target tracking algorithm using particle filtering is proposed. …”
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Permutation entropy based full-reference image quality qssessment
Published 2019“…Permutation entropy helps in detecting and visualizing changes related to structures with the correlation between successive samples instead of considering magnitudes of the signal, and since, perception of an image to the HVS changes more because of structural changes in an image rather than that of visible errors i.e. …”
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Estimation of image scale variations in monocular visual odometry systems
Published 2017“…This paper presents the development of a new technique and algorithm to estimate image-scale variations due to camera height fluctuations when the vehicle is driven on uneven terrains or when the height of vehicle from ground changes as a result of changes in load or number of passengers in the vehicle. …”
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The development of spatio-temporal data model for dynamic visualization of virtual geographical information system
Published 2006“…This research also uses linear interpolating model techniques to visualize the movement changes. This application was implemented by developing a prototype visualization system using a Triangulation Irregular Network (TIN) with integrated time in the TIN structure. …”
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Tumor Extraction for Brain Magnetic Resonance Imaging Using Modified Gaussian Distribution
Published 2006“…Segmentation of MR brain images is necessary for a number of clinical investigations of various complexity, change detection, cortical labeling, and visualization in surgical planning. …”
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A review of visualization techniques for duplicate detection in cancer datasets
Published 2025“…This review explores how visualization can play a critical role in identifying and managing duplicates in non-image clinical cancer data. …”
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Classification of herbs plant diseases via hierarchical dynamic artificial neural network
Published 2010“…Once the image of a target is captured digitally, a myriad of image processing algorithms can be used to extract features from it. …”
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