Search Results - (( java application learning algorithm ) OR ( image implementation case algorithm ))
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Enhanced Clustering Algorithms For Gray-Scale Image Segmentation
Published 2012“…The clustering algorithms are widely used as an unsupervised method for image segmentation in medical diagnosis, satellite imaging and biometric systems. …”
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Thesis -
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Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
Published 2018“…By implementing optimization algorithm in image template matching, it is expected that the computation time can be reduced. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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Conference or Workshop Item -
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Thesis -
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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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An adept edge detection algorithm for human knee osteoarthritis images
Published 2023“…Also, it is shown that the algorithm is very effective in case of noisy and blurs images. � 2010 IEEE.…”
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Image Reconstruction Based on Combination of Inverse Scattering Technique and Total Variation Regularization Method
Published 2020“…The Forward-Backward Time-Stepping - Total Variation (FBTS-TV) regularization algorithm is in a two-dimensional case and implemented in C++ language executed in single computing. …”
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Execution time optimization analysis on multiple algorithms performance of moving object edge detection
Published 2023“…It is shown that Sobel algorithm is very effective in case of moving multiple cars and blurs images with efficient execution time. …”
Conference paper -
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Object detection in aerial images using Convolutional Neural Network (CNN) / Wan Nur Alya Athirah Wan Roshdee
Published 2024“…A CNN model is then implemented with Adam optimizer. The model's accuracy is recorded and saved for detecting cars in aerial images, evaluated by user input to ensure accurate identification of cars and absence of cars. …”
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Error concealment technique using wavelet neural network for wireless transmitted digital images
Published 2012“…In the case, where the missing regions of pixels are containing textures, edges, and other image features that are not easily handled by concealment algorithms. …”
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Thesis -
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Development Of Machine Learning User Interface For Pump Diagnostics
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Monograph -
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New Contrast Enhancement Technique For Non-Uniform Illumination Digital Colour Medical Images
Published 2016“…This dissertation presents a new non-linear contrast enhancement algorithm for non-uniform illumination and low contrast digital colour medical images. …”
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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Article -
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Implementation of RBG-HS-CbCr skin colour model using mobile python PyS60
Published 2009“…These algorithms are often tested and applied on PC. …”
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Final Year Project Report / IMRAD -
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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
