Search Results - (( develop shift means algorithm ) OR ( java implication based algorithm ))
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Tracking The Eyes Using Interdependence Mean Shift Tracking Algorithm With Appropriate Information Provided
Published 2016“…This paper proposes a new technique in how the eyes are tracked and provide the appropriate information for further process. This technique uses Mean Shift tracking algorithm and interdependence scheme to track the eye and stop the tracking when eyes are out of best position and condition to deliver the appropriate information. …”
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Blood cell image segmentation using unsupervised clustering techniques
Published 2009“…Methods that involved in this comparison framework are Fuzzy C Means, K Means and Means Shift Analysis. The outcome from these methods will help to identify which technique or algorithm is the best for cell segmentation. …”
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Enhanced recognition methods for text and slider CAPTCHA vulnerability assessment
Published 2025“…To address the limitation of traditional color enhancement algorithms that lack adaptive learning capabilities, three types of Variation Color Shift (VCS) algorithms have also been proposed for data augmentation. …”
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Thesis -
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Image Segmentation using Enhanced K-means Clustering with Hybrid Image Filtering for Acute Leukemia Blood Cells Microscopic Images
Published 2024thesis::master thesis -
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Single Frame Profilometry With Rapid Phase Demodulation On Colour-Coded Fringes
Published 2019“…The findings prove that the proposed concept is applicable and provides an alternative method for conventional fringe analysis techniques such as transform-based algorithms or phase-shifting algorithms to advance high-speed 3D profilometry.…”
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Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning
Published 2023“…Focusing on clustering algorithms, the study employs popular methods like K-Means Clustering, Density-Based Spatial Clustering of Applications with Noise (DBSCAN), Agglomerative Hierarchical Clustering, and Mean Shift Clustering to understand customer characteristics and behaviors. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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An investigation of structural breaks on spot and futures crude palm oil returns
Published 2011“…We provide some internal and external explanations for the cause of these structural shifts in both mean and variance. Then, the study continues to investigate the implication of structural breaks in crude palm oil volatility clustering estimation process. …”
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Optimal short term load forecasting using LSSVM and improved BFOA considering Malaysia pandemic disrupted situation
Published 2024“…The LSSVM-IBFOA model demonstrates superior performance compared to standalone LSSVM and LSSVM-BFOA based on Mean Absolute Percentage Error (MAPE), Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Mean Squared Error (MSE), Normalized RMSE (NRMSE), and Determination Coefficient (R²). …”
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Automatic spike detection and correction for outdoor machine vision: application to tomato
Published 2011“…Then by the use of mean shift color segmentation algorithm, the spiky pixels on the surface of tomato are spotted. …”
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Chaos synchronization and cryptography for secure communications / Fatin Nabila Abd Latiff
Published 2021“…Many techniques, such as chaotic shift key and Chaos Masking (CM), were suggested, but many attack methods later showed them insecurity. …”
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Design of nonlinear adaptive interaction algorithm controller for improvement of tracking performance of X-Y table ball screw drive system
Published 2023“…The contribution is Nonlinear Adaptive Interaction Algorithm (NAIA). The controller is developed based on the enhancement and modification of the basic Adaptive Interaction Algorithm Controller (AIA). …”
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Computational modeling of running biomechanics in amateur runners
Published 2024“…The research involved the development of a musculoskeletal model using OpenSim, focusing on the deep muscles of the lower limb. …”
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Final Year Project / Dissertation / Thesis -
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Denoising of digital images using second generation wavelet transforms-hidden markov model
Published 2016“…In this issue, a newly developed algorithm based on second-generation wavelet transformation using semi-soft thresholding is introduced. …”
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Improved robust estimator and clustering procedures for multivariate outliers detection
Published 2023“…Three Outlier Scenarios used in this study are the Mean-shift (Outlier Scenario 1), Variance-inflation (Outlier Scenario 2), and Mean-shift and variance-inflation (Outlier Scenario 3). …”
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Crossover and mutation operators of real coded genetic algorithms for global optimization problems
Published 2016“…The rationale behind developing algorithms using real encoding of chromosome representations is the limitations of binary encoding. …”
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Weather Prediction for Strawberry Cultivation Using Double Exponential Smoothing and Golden Section Optimization Methods
Published 2024“…The algorithm used to predict the air temperature feature, wind speed feature, and rainfall feature was Double Exponential Smoothing, followed by the optimization of the Golden Section method to select the right smoothing value. …”
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