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Random traveling wave pulse coupled oscillator (RTWPCO) algorithm of energy-efficient wireless sensor networks
Published 2018“…As a result, it is more suitable and harder to identify demands in all applications. The pulse-coupled oscillator mechanism causing delay and uncharitable applications needs to reduce energy consumption to the smallest level. …”
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An approximation approach for free space wave propagation
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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
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Sactive Noise Control Technique Application in Air Conditioning Ducts
Published 2009“…An algorithm, ‘Hardware-Tuned Feedback ANC (HTFA)’, has been developed to implement the ANC technique for the noise reduction application in an air conditioning duct element, where Digital Signal Processing is used to sample noise and produce a complete anti-phase noise produced by the HTFA algorithm. …”
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Automated QT interval measurement using modified Pan-Tompkins algorithm with independent isoelectric line approach
Published 2020“…However, the physiological variability of the QRS complex and the fluctuation of the isoelectric line are prevalent issues that need to be considered in the automatic method. In this report, an algorithm to identify the QRS onset and T-wave offset for measuring the corrected QT interval (QTc) is proposed. …”
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Parallel implementation of complexity reduction approach to fourth order approximation on 2D free space wave propagation.
Published 2008“…We examine the parallelism efficiency of the algorithm by analyzing the simulation time and speedup. …”
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A New High Order Algorithm With Low Computational Complexity for Electric Field Simulation
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A STUDY OF FRACTAL ANALYSIS AND SINGULARITY SPECTRUM AND ITS POTENTIAL APPLICATION IN THE OIL AND GAS INDUSTRY
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Final Year Project -
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E4ML: Educational Tool for Machine Learning
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A study of feature selection algorithms for predicting students academic performance
Published 2018“…In EDM, Feature Selection (FS) plays a vital role in improving the quality of prediction models for educational datasets. FS algorithms eliminate unrelated data from the educational repositories and hence increase the performance of classifier accuracy used in different EDM practices to support decision making for educational settings. …”
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A study of feature selection algorithms for predicting students academic performance
Published 2018“…In EDM, Feature Selection (FS) plays a vital role in improving the quality of prediction models for educational datasets. FS algorithms eliminate unrelated data from the educational repositories and hence increase the performance of classifier accuracy used in different EDM practices to support decision making for educational settings. …”
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First Semester Computer Science Students’ Academic Performances Analysis by Using Data Mining Classification Algorithms
Published 2014“…The comparative analysis is also conducted to discover the best classification model for prediction. From the experiment, the models develop using Rule Based and Decision Tree algorithm shows the best result compared to the model develop from the Naïve Bayes algorithm. …”
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RFID data reliability optimiser based on two dimensions bloom filter
Published 2017“…Radio frequency identification (RFID) is a flexible deployment technology that has been adopted in many applications especially in supply chain management. RFID system used radio waves to perform wireless interaction to detect and read data from the tagged object. …”
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Analyzing enrolment patterns: modified stacked ensemble statistical learning based approach to educational decision-making
Published 2024“…Moreover, the introduction of the novel modified stacked ensemble statistical learning-based algorithm had improved predictive accuracy compared to traditional dichotomous logistic regression algorithms on average, particularly at optimal training-to-test ratios of 70:30, 80:20, and 90:10. …”
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Determinants and prediction of home nursing utilization among older adults in China: an integration of logistic regression and XGBoost algorithm
Published 2026“…Clinical trial number: Not applicable.…”
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Weed recognition based on erosion and dilation segmentation algorithm
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Analyzing enrolment patterns: Modified stacked ensemble statistical learning-based approach to educational decision-making
Published 2024“…Moreover, the introduction of the novel modified stacked ensemble statistical learning-based algorithm had improved predictive accuracy compared to traditional dichotomous logistic regression algorithms on average, particularly at optimal training-to-test ratios of 70:30, 80:20, and 90:10. …”
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