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Development Of Stereo-Matching Algorithm Based On Adaptive Weighted Prediction
Published 2019“…Comparison of this framework continue in some of the state-of-the-arts algorithm in the literature and the results is outperformed based on the proposed algorithm experimental result.…”
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WBEC: A web browsers evidence collection toolkit for web browsers usage in Windows 10
Published 2022“…The amount of data type evidence collections and security measures to secure the integrity of evidence collected are measured by evaluating available tools, developing a proof-of-concept toolkit, and comparingfunctioning tools. …”
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Towards lowering computational power in IoT systems: Clustering algorithm for high-dimensional data stream using entropy window reduction
Published 2024“…Lately, a fully online buffer-based clustering algorithm for handling evolving data streams (BOCEDS) was developed. …”
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Efficient management of Top-k queries over Uncertain Data Streams with dynamic Sliding Window Model
Published 2024“…The algorithm development combines the frameworks from Phases 1 to 3, evaluating real and synthetic datasets. …”
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Predictive dynamic CFD approach to reducing airborne transmission in naturally ventilated hospital rooms: Impact of window opening angles during transitional cold seasons in China...
Published 2025“…Stepwise polynomial regression has been validated as a novel algorithm that can effectively predict window opening angles. …”
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Studies on the application of wavelet families for a high impedance fault location algorithm in a distribution network
Published 2016“…This paper will present an enhanced high impedance fault location algorithm based on the database technique. This paper is an extension of a faulty section identification algorithm developed previously. …”
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Local Stereo Matching Algorithm Using Modified Dynamic Cost Computation
Published 2021“…Based on the Middlebury benchmark dataset, the algorithm developed in this work has better accuracy and outperformed several other state-of-the-art algorithms…”
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Missing tags detection algorithm for radio frequency identification (RFID) data stream
Published 2019“…This algorithm development has been guided by methodology in four stages. …”
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Object tracing from synthetic fluid spray through instance segmentation
Published 2024“…A divide and conquer technique using cropping window extraction was employed with nine window sizes to reduce object density, resulting in a significant increase in object count. …”
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Genetic algorithm for event scheduling system
Published 2010“…There are four main interfaces that ask for login information, add, edit and view events details. As for the development environment, UTeM-EAS is developed and to run in windows XP with support of Adobe Dreamweaver and MS SQL Server. …”
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Traffic management algorithms for LEO satellite networks
Published 2016“…The performances of the proposed algorithms are then compared with the previously developed algorithms. …”
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Type 2 Fuzzy Inference-Based Time Series Model
Published 2019“…A sliding window method was proposed to find a proper and systematic measurement for predicting the number of class intervals. …”
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Comparative Analysis Using Bayesian Approach To Neural Network Of Translational Initiation Sites In Alternative Polymorphic Contex
Published 2012“…The objectives of this paper are to develop useful algorithms and to build a new classification model for the case study.The first approach of neural network includes training on algorithms of Resilient Backpropagation,Scaled Conjugate Gradient Backpropagation and Levenberg-Marquardt.The outputs are used in comparison with Bayesian Neural Network for efficiency comparison.The results showed that Resilient Backpropagation have the consistency in all measurement but performs less in accuracy.In second approach,the Bayesian Classifier_01 outperforms the Resilient Backpropagation by successfully increasing the overall prediction accuracy by 16.0%.The Bayesian Classifier_02 is built to improve the accuracy by adding new features of chemical properties as selected by the Information Gain Ratio method,and increasing the length of the window sequence to 201.The result shows that the built model successfully increases the accuracy by 96.0%.In comparison,the Bayesian model outperforms Tikole and Sankararamakrishnan (2008) by increasing the sensitivity by 10% and specificity by 26%. …”
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Time Domain Reflectometry Computational Technique Using Agilent Vee
Published 2007“…Additionally, frequency-to-time measurement option of the VNA has limited capability with only selected transformation algorithm, window and gating method. …”
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Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems
Published 2014“…The results showed that the parallel algorithms for EHD simulations may provide 4 to 5 times more speedup over sequential algorithm for large grid sizes. …”
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